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Lorenzini L, Maranzano A, Ingala S, Collij LE, Tranfa M, Blennow K, Di Perri C, Foley C, Fox NC, Frisoni GB, Haller S, Martinez-Lage P, Mollison D, O'Brien J, Payoux P, Ritchie C, Scheltens P, Schwarz AJ, Sudre CH, Tijms BM, Verde F, Ticozzi N, Silani V, Visser PJ, Waldman A, Wolz R, Chételat G, Ewers M, Wink AM, Mutsaerts H, Gispert JD, Wardlaw JM, Barkhof F. Association of Vascular Risk Factors and Cerebrovascular Pathology With Alzheimer Disease Pathologic Changes in Individuals Without Dementia. Neurology 2024; 103:e209801. [PMID: 39288341 PMCID: PMC11450612 DOI: 10.1212/wnl.0000000000209801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Accepted: 08/06/2024] [Indexed: 09/19/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Vascular risk factors (VRFs) and cerebral small vessel disease (cSVD) are common in patients with Alzheimer disease (AD). It remains unclear whether this coexistence reflects shared risk factors or a mechanistic relationship and whether vascular and amyloid pathologies have independent or synergistic influence on subsequent AD pathophysiology in preclinical stages. We investigated links between VRFs, cSVD, and amyloid levels (Aβ1-42) and their combined effect on downstream AD biomarkers, that is, CSF hyperphosphorylated tau (P-tau181), atrophy, and cognition. METHODS This retrospective study included nondemented participants (Clinical Dementia Rating < 1) from the European Prevention of Alzheimer's Dementia (EPAD) cohort and assessed VRFs with the Framingham risk score (FRS) and cSVD features on MRI using visual scales and white matter hyperintensity volumes. After preliminary linear analysis, we used structural equation modeling (SEM) to create a "cSVD severity" latent variable and assess the direct and indirect effects of FRS and cSVD severity on Aβ1-42, P-tau181, gray matter volume (baseline and longitudinal), and cognitive performance (baseline and longitudinal). RESULTS A total cohort of 1,592 participants were evaluated (mean age = 65.5 ± 7.4 years; 56.16% F). We observed positive associations between FRS and all cSVD features (all p < 0.05) and a negative association between FRS and Aβ1-42 (β = -0.04 ± 0.01). All cSVD features were negatively associated with CSF Aβ1-42 (all p < 0.05). Using SEM, the cSVD severity fully mediated the association between FRS and CSF Aβ1-42 (indirect effect: β = -0.03 ± 0.01), also when omitting vascular amyloid-related markers. We observed a significant indirect effect of cSVD severity on P-tau181 (indirect effect: β = 0.12 ± 0.03), baseline and longitudinal gray matter volume (indirect effect: β = -0.10 ± 0.03; β = -0.12 ± 0.05), and baseline cognitive performance (indirect effect: β = -0.16 ± 0.03) through CSF Aβ1-42. DISCUSSION In a large nondemented population, our findings suggest that cSVD is a mediator of the relationship between VRFs and CSF Aβ1-42 and affects downstream neurodegeneration and cognitive impairment. We provide evidence of VRFs indirectly affecting the pathogenesis of AD, highlighting the importance of considering cSVD burden in memory clinics for AD risk evaluation and as an early window for intervention. These results stress the role of VRFs and cerebrovascular pathology as key biomarkers for accurate design of anti-amyloid clinical trials and offer new perspectives for patient stratification.
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Affiliation(s)
- Luigi Lorenzini
- From the Department of Radiology and Nuclear Medicine (L.L., S.I., L.E.C., M.T., A.M.W., F.B.), Amsterdam University Medical Centre, Vrije Universiteit; Amsterdam Neuroscience (L.L., S.I., L.E.C., A.M.W., H.M.), Brain Imaging, Amsterdam, The Netherlands; Department of Neurology and Laboratory of Neuroscience (A.M., F.V., N.T., V.S.), IRCCS Istituto Auxologico Italiano, Milan, Italy; Department of Radiology (S.I.), Copenhagen University Hospital Rigshospitalet; Cerebriu A/S (S.I.), Copenhagen, Denmark; Clinical Memory Research Unit (L.E.C.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Department of Advanced Biomedical Sciences (M.T.), University "Federico II," Naples, Italy; Department of Psychiatry and Neurochemistry (K.B., C.H.S.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburgn; Clinical Neurochemistry Laboratory (K.B.), Sahlgrenska University Hospital, Mölndal, Sweden; Neuroradiology Department (C.D.P.), University Hospital of Coventry and Warwickshire (UHCW), Coventry; GE HealthCare (C.F.), Amersham; Dementia Research Centre (N.C.F.), UCL Queen Square Institute of Neurology; UK Dementia Research Institute at University College London (N.C.F.), United Kingdom; Laboratory Alzheimer's Neuroimaging and Epidemiology (G.B.F.), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; University Hospitals and University of Geneva (G.B.F.); CIMC - Centre d'Imagerie Médicale de Cornavin (S.H.), Place de Cornavin 18, Genève, Switzerland; Department of Surgical Sciences (S.H.), Radiology, Uppsala University, Sweden; Department of Radiology (S.H.), Beijing Tiantan Hospital, Capital Medical University, P. R. China; Centro de Investigación y Terapias Avanzadas (P.M.-L.), Neurología, CITA-Alzheimer Foundation, San Sebastián, Spain; Centre for Clinical Brain Sciences (D.M., A.W., J.M.W.), The University of Edinburgh; Department of Psychiatry (J.O.B.), School of Clinical Medicine, CB2 0SP, University of Cambridge, United Kingdom; Department of Nuclear Medicine (P.P.), Toulouse University Hospital; ToNIC (P.P.), Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, France; Edinburgh Dementia Prevention (C.R.), Centre for Clinical Brain Sciences, Outpatient Department 2, Western General Hospital, University of Edinburgh Brain Health Scotland (C.R.), Edinburgh, United Kingdom; Alzheimer Center Amsterdam (P.S., B.M.T., P.J.V.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.S., B.M.T., P.J.V.), Neurodegeneration, Amsterdam, The Netherlands; Takeda Pharmaceuticals Ltd. (A.J.S.), Cambridge, MA; Department of Medical Physics and Biomedical Engineering (C.H.S.), Centre for Medical Image Computing (CMIC), University College London (UCL); MRC Unit for Lifelong Health & Ageing at UCL (C.H.S.), University College London; School of Biomedical Engineering and Imaging Sciences (C.H.S.), King's College London, United Kingdom; Department of Pathophysiology and Transplantation (F.V., N.T., V.S.), "Dino Ferrari" Center, Università degli Studi di Milano, Milan, Italy; Alzheimer Center Limburg (P.J.V.), Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, 6229 GS, Maastricht University, The Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Department of Medicine (A.W.), Imperial College London; IXICO (R.W.), EC1A 9PN, London, United Kingdom; Université de Normandie (G.C.), Unicaen, Inserm, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", institut Blood-and-Brain @ Caen-Normandie, Cyceron, Caen, France; German Center for Neurodegenerative Diseases (DZNE) (M.E.), Munich, Germany; Ghent Institute for Functional and Metabolic Imaging (GIfMI) (H.M.), Ghent University, Belgium; Barcelonaβeta Brain Research Center (BBRC) (J.D.G.), Pasqual Maragall Foundation; CIBER Bioingeniería (J.D.G.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; IMIM (Hospital del Mar Medical Research Institute) (J.D.G.); Universitat Pompeu Fabra (J.D.G.), Barcelona, Spain; UK Dementia Research Institute Centre at the University of Edinburgh (J.M.W.); and Institutes of Neurology and Healthcare Engineering (F.B.), University College London, United Kingdom
| | - Alessio Maranzano
- From the Department of Radiology and Nuclear Medicine (L.L., S.I., L.E.C., M.T., A.M.W., F.B.), Amsterdam University Medical Centre, Vrije Universiteit; Amsterdam Neuroscience (L.L., S.I., L.E.C., A.M.W., H.M.), Brain Imaging, Amsterdam, The Netherlands; Department of Neurology and Laboratory of Neuroscience (A.M., F.V., N.T., V.S.), IRCCS Istituto Auxologico Italiano, Milan, Italy; Department of Radiology (S.I.), Copenhagen University Hospital Rigshospitalet; Cerebriu A/S (S.I.), Copenhagen, Denmark; Clinical Memory Research Unit (L.E.C.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Department of Advanced Biomedical Sciences (M.T.), University "Federico II," Naples, Italy; Department of Psychiatry and Neurochemistry (K.B., C.H.S.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburgn; Clinical Neurochemistry Laboratory (K.B.), Sahlgrenska University Hospital, Mölndal, Sweden; Neuroradiology Department (C.D.P.), University Hospital of Coventry and Warwickshire (UHCW), Coventry; GE HealthCare (C.F.), Amersham; Dementia Research Centre (N.C.F.), UCL Queen Square Institute of Neurology; UK Dementia Research Institute at University College London (N.C.F.), United Kingdom; Laboratory Alzheimer's Neuroimaging and Epidemiology (G.B.F.), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; University Hospitals and University of Geneva (G.B.F.); CIMC - Centre d'Imagerie Médicale de Cornavin (S.H.), Place de Cornavin 18, Genève, Switzerland; Department of Surgical Sciences (S.H.), Radiology, Uppsala University, Sweden; Department of Radiology (S.H.), Beijing Tiantan Hospital, Capital Medical University, P. R. China; Centro de Investigación y Terapias Avanzadas (P.M.-L.), Neurología, CITA-Alzheimer Foundation, San Sebastián, Spain; Centre for Clinical Brain Sciences (D.M., A.W., J.M.W.), The University of Edinburgh; Department of Psychiatry (J.O.B.), School of Clinical Medicine, CB2 0SP, University of Cambridge, United Kingdom; Department of Nuclear Medicine (P.P.), Toulouse University Hospital; ToNIC (P.P.), Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, France; Edinburgh Dementia Prevention (C.R.), Centre for Clinical Brain Sciences, Outpatient Department 2, Western General Hospital, University of Edinburgh Brain Health Scotland (C.R.), Edinburgh, United Kingdom; Alzheimer Center Amsterdam (P.S., B.M.T., P.J.V.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.S., B.M.T., P.J.V.), Neurodegeneration, Amsterdam, The Netherlands; Takeda Pharmaceuticals Ltd. (A.J.S.), Cambridge, MA; Department of Medical Physics and Biomedical Engineering (C.H.S.), Centre for Medical Image Computing (CMIC), University College London (UCL); MRC Unit for Lifelong Health & Ageing at UCL (C.H.S.), University College London; School of Biomedical Engineering and Imaging Sciences (C.H.S.), King's College London, United Kingdom; Department of Pathophysiology and Transplantation (F.V., N.T., V.S.), "Dino Ferrari" Center, Università degli Studi di Milano, Milan, Italy; Alzheimer Center Limburg (P.J.V.), Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, 6229 GS, Maastricht University, The Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Department of Medicine (A.W.), Imperial College London; IXICO (R.W.), EC1A 9PN, London, United Kingdom; Université de Normandie (G.C.), Unicaen, Inserm, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", institut Blood-and-Brain @ Caen-Normandie, Cyceron, Caen, France; German Center for Neurodegenerative Diseases (DZNE) (M.E.), Munich, Germany; Ghent Institute for Functional and Metabolic Imaging (GIfMI) (H.M.), Ghent University, Belgium; Barcelonaβeta Brain Research Center (BBRC) (J.D.G.), Pasqual Maragall Foundation; CIBER Bioingeniería (J.D.G.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; IMIM (Hospital del Mar Medical Research Institute) (J.D.G.); Universitat Pompeu Fabra (J.D.G.), Barcelona, Spain; UK Dementia Research Institute Centre at the University of Edinburgh (J.M.W.); and Institutes of Neurology and Healthcare Engineering (F.B.), University College London, United Kingdom
| | - Silvia Ingala
- From the Department of Radiology and Nuclear Medicine (L.L., S.I., L.E.C., M.T., A.M.W., F.B.), Amsterdam University Medical Centre, Vrije Universiteit; Amsterdam Neuroscience (L.L., S.I., L.E.C., A.M.W., H.M.), Brain Imaging, Amsterdam, The Netherlands; Department of Neurology and Laboratory of Neuroscience (A.M., F.V., N.T., V.S.), IRCCS Istituto Auxologico Italiano, Milan, Italy; Department of Radiology (S.I.), Copenhagen University Hospital Rigshospitalet; Cerebriu A/S (S.I.), Copenhagen, Denmark; Clinical Memory Research Unit (L.E.C.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Department of Advanced Biomedical Sciences (M.T.), University "Federico II," Naples, Italy; Department of Psychiatry and Neurochemistry (K.B., C.H.S.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburgn; Clinical Neurochemistry Laboratory (K.B.), Sahlgrenska University Hospital, Mölndal, Sweden; Neuroradiology Department (C.D.P.), University Hospital of Coventry and Warwickshire (UHCW), Coventry; GE HealthCare (C.F.), Amersham; Dementia Research Centre (N.C.F.), UCL Queen Square Institute of Neurology; UK Dementia Research Institute at University College London (N.C.F.), United Kingdom; Laboratory Alzheimer's Neuroimaging and Epidemiology (G.B.F.), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; University Hospitals and University of Geneva (G.B.F.); CIMC - Centre d'Imagerie Médicale de Cornavin (S.H.), Place de Cornavin 18, Genève, Switzerland; Department of Surgical Sciences (S.H.), Radiology, Uppsala University, Sweden; Department of Radiology (S.H.), Beijing Tiantan Hospital, Capital Medical University, P. R. China; Centro de Investigación y Terapias Avanzadas (P.M.-L.), Neurología, CITA-Alzheimer Foundation, San Sebastián, Spain; Centre for Clinical Brain Sciences (D.M., A.W., J.M.W.), The University of Edinburgh; Department of Psychiatry (J.O.B.), School of Clinical Medicine, CB2 0SP, University of Cambridge, United Kingdom; Department of Nuclear Medicine (P.P.), Toulouse University Hospital; ToNIC (P.P.), Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, France; Edinburgh Dementia Prevention (C.R.), Centre for Clinical Brain Sciences, Outpatient Department 2, Western General Hospital, University of Edinburgh Brain Health Scotland (C.R.), Edinburgh, United Kingdom; Alzheimer Center Amsterdam (P.S., B.M.T., P.J.V.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.S., B.M.T., P.J.V.), Neurodegeneration, Amsterdam, The Netherlands; Takeda Pharmaceuticals Ltd. (A.J.S.), Cambridge, MA; Department of Medical Physics and Biomedical Engineering (C.H.S.), Centre for Medical Image Computing (CMIC), University College London (UCL); MRC Unit for Lifelong Health & Ageing at UCL (C.H.S.), University College London; School of Biomedical Engineering and Imaging Sciences (C.H.S.), King's College London, United Kingdom; Department of Pathophysiology and Transplantation (F.V., N.T., V.S.), "Dino Ferrari" Center, Università degli Studi di Milano, Milan, Italy; Alzheimer Center Limburg (P.J.V.), Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, 6229 GS, Maastricht University, The Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Department of Medicine (A.W.), Imperial College London; IXICO (R.W.), EC1A 9PN, London, United Kingdom; Université de Normandie (G.C.), Unicaen, Inserm, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", institut Blood-and-Brain @ Caen-Normandie, Cyceron, Caen, France; German Center for Neurodegenerative Diseases (DZNE) (M.E.), Munich, Germany; Ghent Institute for Functional and Metabolic Imaging (GIfMI) (H.M.), Ghent University, Belgium; Barcelonaβeta Brain Research Center (BBRC) (J.D.G.), Pasqual Maragall Foundation; CIBER Bioingeniería (J.D.G.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; IMIM (Hospital del Mar Medical Research Institute) (J.D.G.); Universitat Pompeu Fabra (J.D.G.), Barcelona, Spain; UK Dementia Research Institute Centre at the University of Edinburgh (J.M.W.); and Institutes of Neurology and Healthcare Engineering (F.B.), University College London, United Kingdom
| | - Lyduine E Collij
- From the Department of Radiology and Nuclear Medicine (L.L., S.I., L.E.C., M.T., A.M.W., F.B.), Amsterdam University Medical Centre, Vrije Universiteit; Amsterdam Neuroscience (L.L., S.I., L.E.C., A.M.W., H.M.), Brain Imaging, Amsterdam, The Netherlands; Department of Neurology and Laboratory of Neuroscience (A.M., F.V., N.T., V.S.), IRCCS Istituto Auxologico Italiano, Milan, Italy; Department of Radiology (S.I.), Copenhagen University Hospital Rigshospitalet; Cerebriu A/S (S.I.), Copenhagen, Denmark; Clinical Memory Research Unit (L.E.C.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Department of Advanced Biomedical Sciences (M.T.), University "Federico II," Naples, Italy; Department of Psychiatry and Neurochemistry (K.B., C.H.S.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburgn; Clinical Neurochemistry Laboratory (K.B.), Sahlgrenska University Hospital, Mölndal, Sweden; Neuroradiology Department (C.D.P.), University Hospital of Coventry and Warwickshire (UHCW), Coventry; GE HealthCare (C.F.), Amersham; Dementia Research Centre (N.C.F.), UCL Queen Square Institute of Neurology; UK Dementia Research Institute at University College London (N.C.F.), United Kingdom; Laboratory Alzheimer's Neuroimaging and Epidemiology (G.B.F.), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; University Hospitals and University of Geneva (G.B.F.); CIMC - Centre d'Imagerie Médicale de Cornavin (S.H.), Place de Cornavin 18, Genève, Switzerland; Department of Surgical Sciences (S.H.), Radiology, Uppsala University, Sweden; Department of Radiology (S.H.), Beijing Tiantan Hospital, Capital Medical University, P. R. China; Centro de Investigación y Terapias Avanzadas (P.M.-L.), Neurología, CITA-Alzheimer Foundation, San Sebastián, Spain; Centre for Clinical Brain Sciences (D.M., A.W., J.M.W.), The University of Edinburgh; Department of Psychiatry (J.O.B.), School of Clinical Medicine, CB2 0SP, University of Cambridge, United Kingdom; Department of Nuclear Medicine (P.P.), Toulouse University Hospital; ToNIC (P.P.), Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, France; Edinburgh Dementia Prevention (C.R.), Centre for Clinical Brain Sciences, Outpatient Department 2, Western General Hospital, University of Edinburgh Brain Health Scotland (C.R.), Edinburgh, United Kingdom; Alzheimer Center Amsterdam (P.S., B.M.T., P.J.V.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.S., B.M.T., P.J.V.), Neurodegeneration, Amsterdam, The Netherlands; Takeda Pharmaceuticals Ltd. (A.J.S.), Cambridge, MA; Department of Medical Physics and Biomedical Engineering (C.H.S.), Centre for Medical Image Computing (CMIC), University College London (UCL); MRC Unit for Lifelong Health & Ageing at UCL (C.H.S.), University College London; School of Biomedical Engineering and Imaging Sciences (C.H.S.), King's College London, United Kingdom; Department of Pathophysiology and Transplantation (F.V., N.T., V.S.), "Dino Ferrari" Center, Università degli Studi di Milano, Milan, Italy; Alzheimer Center Limburg (P.J.V.), Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, 6229 GS, Maastricht University, The Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Department of Medicine (A.W.), Imperial College London; IXICO (R.W.), EC1A 9PN, London, United Kingdom; Université de Normandie (G.C.), Unicaen, Inserm, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", institut Blood-and-Brain @ Caen-Normandie, Cyceron, Caen, France; German Center for Neurodegenerative Diseases (DZNE) (M.E.), Munich, Germany; Ghent Institute for Functional and Metabolic Imaging (GIfMI) (H.M.), Ghent University, Belgium; Barcelonaβeta Brain Research Center (BBRC) (J.D.G.), Pasqual Maragall Foundation; CIBER Bioingeniería (J.D.G.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; IMIM (Hospital del Mar Medical Research Institute) (J.D.G.); Universitat Pompeu Fabra (J.D.G.), Barcelona, Spain; UK Dementia Research Institute Centre at the University of Edinburgh (J.M.W.); and Institutes of Neurology and Healthcare Engineering (F.B.), University College London, United Kingdom
| | - Mario Tranfa
- From the Department of Radiology and Nuclear Medicine (L.L., S.I., L.E.C., M.T., A.M.W., F.B.), Amsterdam University Medical Centre, Vrije Universiteit; Amsterdam Neuroscience (L.L., S.I., L.E.C., A.M.W., H.M.), Brain Imaging, Amsterdam, The Netherlands; Department of Neurology and Laboratory of Neuroscience (A.M., F.V., N.T., V.S.), IRCCS Istituto Auxologico Italiano, Milan, Italy; Department of Radiology (S.I.), Copenhagen University Hospital Rigshospitalet; Cerebriu A/S (S.I.), Copenhagen, Denmark; Clinical Memory Research Unit (L.E.C.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Department of Advanced Biomedical Sciences (M.T.), University "Federico II," Naples, Italy; Department of Psychiatry and Neurochemistry (K.B., C.H.S.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburgn; Clinical Neurochemistry Laboratory (K.B.), Sahlgrenska University Hospital, Mölndal, Sweden; Neuroradiology Department (C.D.P.), University Hospital of Coventry and Warwickshire (UHCW), Coventry; GE HealthCare (C.F.), Amersham; Dementia Research Centre (N.C.F.), UCL Queen Square Institute of Neurology; UK Dementia Research Institute at University College London (N.C.F.), United Kingdom; Laboratory Alzheimer's Neuroimaging and Epidemiology (G.B.F.), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; University Hospitals and University of Geneva (G.B.F.); CIMC - Centre d'Imagerie Médicale de Cornavin (S.H.), Place de Cornavin 18, Genève, Switzerland; Department of Surgical Sciences (S.H.), Radiology, Uppsala University, Sweden; Department of Radiology (S.H.), Beijing Tiantan Hospital, Capital Medical University, P. R. China; Centro de Investigación y Terapias Avanzadas (P.M.-L.), Neurología, CITA-Alzheimer Foundation, San Sebastián, Spain; Centre for Clinical Brain Sciences (D.M., A.W., J.M.W.), The University of Edinburgh; Department of Psychiatry (J.O.B.), School of Clinical Medicine, CB2 0SP, University of Cambridge, United Kingdom; Department of Nuclear Medicine (P.P.), Toulouse University Hospital; ToNIC (P.P.), Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, France; Edinburgh Dementia Prevention (C.R.), Centre for Clinical Brain Sciences, Outpatient Department 2, Western General Hospital, University of Edinburgh Brain Health Scotland (C.R.), Edinburgh, United Kingdom; Alzheimer Center Amsterdam (P.S., B.M.T., P.J.V.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.S., B.M.T., P.J.V.), Neurodegeneration, Amsterdam, The Netherlands; Takeda Pharmaceuticals Ltd. (A.J.S.), Cambridge, MA; Department of Medical Physics and Biomedical Engineering (C.H.S.), Centre for Medical Image Computing (CMIC), University College London (UCL); MRC Unit for Lifelong Health & Ageing at UCL (C.H.S.), University College London; School of Biomedical Engineering and Imaging Sciences (C.H.S.), King's College London, United Kingdom; Department of Pathophysiology and Transplantation (F.V., N.T., V.S.), "Dino Ferrari" Center, Università degli Studi di Milano, Milan, Italy; Alzheimer Center Limburg (P.J.V.), Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, 6229 GS, Maastricht University, The Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Department of Medicine (A.W.), Imperial College London; IXICO (R.W.), EC1A 9PN, London, United Kingdom; Université de Normandie (G.C.), Unicaen, Inserm, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", institut Blood-and-Brain @ Caen-Normandie, Cyceron, Caen, France; German Center for Neurodegenerative Diseases (DZNE) (M.E.), Munich, Germany; Ghent Institute for Functional and Metabolic Imaging (GIfMI) (H.M.), Ghent University, Belgium; Barcelonaβeta Brain Research Center (BBRC) (J.D.G.), Pasqual Maragall Foundation; CIBER Bioingeniería (J.D.G.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; IMIM (Hospital del Mar Medical Research Institute) (J.D.G.); Universitat Pompeu Fabra (J.D.G.), Barcelona, Spain; UK Dementia Research Institute Centre at the University of Edinburgh (J.M.W.); and Institutes of Neurology and Healthcare Engineering (F.B.), University College London, United Kingdom
| | - Kaj Blennow
- From the Department of Radiology and Nuclear Medicine (L.L., S.I., L.E.C., M.T., A.M.W., F.B.), Amsterdam University Medical Centre, Vrije Universiteit; Amsterdam Neuroscience (L.L., S.I., L.E.C., A.M.W., H.M.), Brain Imaging, Amsterdam, The Netherlands; Department of Neurology and Laboratory of Neuroscience (A.M., F.V., N.T., V.S.), IRCCS Istituto Auxologico Italiano, Milan, Italy; Department of Radiology (S.I.), Copenhagen University Hospital Rigshospitalet; Cerebriu A/S (S.I.), Copenhagen, Denmark; Clinical Memory Research Unit (L.E.C.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Department of Advanced Biomedical Sciences (M.T.), University "Federico II," Naples, Italy; Department of Psychiatry and Neurochemistry (K.B., C.H.S.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburgn; Clinical Neurochemistry Laboratory (K.B.), Sahlgrenska University Hospital, Mölndal, Sweden; Neuroradiology Department (C.D.P.), University Hospital of Coventry and Warwickshire (UHCW), Coventry; GE HealthCare (C.F.), Amersham; Dementia Research Centre (N.C.F.), UCL Queen Square Institute of Neurology; UK Dementia Research Institute at University College London (N.C.F.), United Kingdom; Laboratory Alzheimer's Neuroimaging and Epidemiology (G.B.F.), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; University Hospitals and University of Geneva (G.B.F.); CIMC - Centre d'Imagerie Médicale de Cornavin (S.H.), Place de Cornavin 18, Genève, Switzerland; Department of Surgical Sciences (S.H.), Radiology, Uppsala University, Sweden; Department of Radiology (S.H.), Beijing Tiantan Hospital, Capital Medical University, P. R. China; Centro de Investigación y Terapias Avanzadas (P.M.-L.), Neurología, CITA-Alzheimer Foundation, San Sebastián, Spain; Centre for Clinical Brain Sciences (D.M., A.W., J.M.W.), The University of Edinburgh; Department of Psychiatry (J.O.B.), School of Clinical Medicine, CB2 0SP, University of Cambridge, United Kingdom; Department of Nuclear Medicine (P.P.), Toulouse University Hospital; ToNIC (P.P.), Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, France; Edinburgh Dementia Prevention (C.R.), Centre for Clinical Brain Sciences, Outpatient Department 2, Western General Hospital, University of Edinburgh Brain Health Scotland (C.R.), Edinburgh, United Kingdom; Alzheimer Center Amsterdam (P.S., B.M.T., P.J.V.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.S., B.M.T., P.J.V.), Neurodegeneration, Amsterdam, The Netherlands; Takeda Pharmaceuticals Ltd. (A.J.S.), Cambridge, MA; Department of Medical Physics and Biomedical Engineering (C.H.S.), Centre for Medical Image Computing (CMIC), University College London (UCL); MRC Unit for Lifelong Health & Ageing at UCL (C.H.S.), University College London; School of Biomedical Engineering and Imaging Sciences (C.H.S.), King's College London, United Kingdom; Department of Pathophysiology and Transplantation (F.V., N.T., V.S.), "Dino Ferrari" Center, Università degli Studi di Milano, Milan, Italy; Alzheimer Center Limburg (P.J.V.), Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, 6229 GS, Maastricht University, The Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Department of Medicine (A.W.), Imperial College London; IXICO (R.W.), EC1A 9PN, London, United Kingdom; Université de Normandie (G.C.), Unicaen, Inserm, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", institut Blood-and-Brain @ Caen-Normandie, Cyceron, Caen, France; German Center for Neurodegenerative Diseases (DZNE) (M.E.), Munich, Germany; Ghent Institute for Functional and Metabolic Imaging (GIfMI) (H.M.), Ghent University, Belgium; Barcelonaβeta Brain Research Center (BBRC) (J.D.G.), Pasqual Maragall Foundation; CIBER Bioingeniería (J.D.G.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; IMIM (Hospital del Mar Medical Research Institute) (J.D.G.); Universitat Pompeu Fabra (J.D.G.), Barcelona, Spain; UK Dementia Research Institute Centre at the University of Edinburgh (J.M.W.); and Institutes of Neurology and Healthcare Engineering (F.B.), University College London, United Kingdom
| | - Carol Di Perri
- From the Department of Radiology and Nuclear Medicine (L.L., S.I., L.E.C., M.T., A.M.W., F.B.), Amsterdam University Medical Centre, Vrije Universiteit; Amsterdam Neuroscience (L.L., S.I., L.E.C., A.M.W., H.M.), Brain Imaging, Amsterdam, The Netherlands; Department of Neurology and Laboratory of Neuroscience (A.M., F.V., N.T., V.S.), IRCCS Istituto Auxologico Italiano, Milan, Italy; Department of Radiology (S.I.), Copenhagen University Hospital Rigshospitalet; Cerebriu A/S (S.I.), Copenhagen, Denmark; Clinical Memory Research Unit (L.E.C.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Department of Advanced Biomedical Sciences (M.T.), University "Federico II," Naples, Italy; Department of Psychiatry and Neurochemistry (K.B., C.H.S.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburgn; Clinical Neurochemistry Laboratory (K.B.), Sahlgrenska University Hospital, Mölndal, Sweden; Neuroradiology Department (C.D.P.), University Hospital of Coventry and Warwickshire (UHCW), Coventry; GE HealthCare (C.F.), Amersham; Dementia Research Centre (N.C.F.), UCL Queen Square Institute of Neurology; UK Dementia Research Institute at University College London (N.C.F.), United Kingdom; Laboratory Alzheimer's Neuroimaging and Epidemiology (G.B.F.), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; University Hospitals and University of Geneva (G.B.F.); CIMC - Centre d'Imagerie Médicale de Cornavin (S.H.), Place de Cornavin 18, Genève, Switzerland; Department of Surgical Sciences (S.H.), Radiology, Uppsala University, Sweden; Department of Radiology (S.H.), Beijing Tiantan Hospital, Capital Medical University, P. R. China; Centro de Investigación y Terapias Avanzadas (P.M.-L.), Neurología, CITA-Alzheimer Foundation, San Sebastián, Spain; Centre for Clinical Brain Sciences (D.M., A.W., J.M.W.), The University of Edinburgh; Department of Psychiatry (J.O.B.), School of Clinical Medicine, CB2 0SP, University of Cambridge, United Kingdom; Department of Nuclear Medicine (P.P.), Toulouse University Hospital; ToNIC (P.P.), Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, France; Edinburgh Dementia Prevention (C.R.), Centre for Clinical Brain Sciences, Outpatient Department 2, Western General Hospital, University of Edinburgh Brain Health Scotland (C.R.), Edinburgh, United Kingdom; Alzheimer Center Amsterdam (P.S., B.M.T., P.J.V.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.S., B.M.T., P.J.V.), Neurodegeneration, Amsterdam, The Netherlands; Takeda Pharmaceuticals Ltd. (A.J.S.), Cambridge, MA; Department of Medical Physics and Biomedical Engineering (C.H.S.), Centre for Medical Image Computing (CMIC), University College London (UCL); MRC Unit for Lifelong Health & Ageing at UCL (C.H.S.), University College London; School of Biomedical Engineering and Imaging Sciences (C.H.S.), King's College London, United Kingdom; Department of Pathophysiology and Transplantation (F.V., N.T., V.S.), "Dino Ferrari" Center, Università degli Studi di Milano, Milan, Italy; Alzheimer Center Limburg (P.J.V.), Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, 6229 GS, Maastricht University, The Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Department of Medicine (A.W.), Imperial College London; IXICO (R.W.), EC1A 9PN, London, United Kingdom; Université de Normandie (G.C.), Unicaen, Inserm, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", institut Blood-and-Brain @ Caen-Normandie, Cyceron, Caen, France; German Center for Neurodegenerative Diseases (DZNE) (M.E.), Munich, Germany; Ghent Institute for Functional and Metabolic Imaging (GIfMI) (H.M.), Ghent University, Belgium; Barcelonaβeta Brain Research Center (BBRC) (J.D.G.), Pasqual Maragall Foundation; CIBER Bioingeniería (J.D.G.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; IMIM (Hospital del Mar Medical Research Institute) (J.D.G.); Universitat Pompeu Fabra (J.D.G.), Barcelona, Spain; UK Dementia Research Institute Centre at the University of Edinburgh (J.M.W.); and Institutes of Neurology and Healthcare Engineering (F.B.), University College London, United Kingdom
| | - Christopher Foley
- From the Department of Radiology and Nuclear Medicine (L.L., S.I., L.E.C., M.T., A.M.W., F.B.), Amsterdam University Medical Centre, Vrije Universiteit; Amsterdam Neuroscience (L.L., S.I., L.E.C., A.M.W., H.M.), Brain Imaging, Amsterdam, The Netherlands; Department of Neurology and Laboratory of Neuroscience (A.M., F.V., N.T., V.S.), IRCCS Istituto Auxologico Italiano, Milan, Italy; Department of Radiology (S.I.), Copenhagen University Hospital Rigshospitalet; Cerebriu A/S (S.I.), Copenhagen, Denmark; Clinical Memory Research Unit (L.E.C.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Department of Advanced Biomedical Sciences (M.T.), University "Federico II," Naples, Italy; Department of Psychiatry and Neurochemistry (K.B., C.H.S.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburgn; Clinical Neurochemistry Laboratory (K.B.), Sahlgrenska University Hospital, Mölndal, Sweden; Neuroradiology Department (C.D.P.), University Hospital of Coventry and Warwickshire (UHCW), Coventry; GE HealthCare (C.F.), Amersham; Dementia Research Centre (N.C.F.), UCL Queen Square Institute of Neurology; UK Dementia Research Institute at University College London (N.C.F.), United Kingdom; Laboratory Alzheimer's Neuroimaging and Epidemiology (G.B.F.), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; University Hospitals and University of Geneva (G.B.F.); CIMC - Centre d'Imagerie Médicale de Cornavin (S.H.), Place de Cornavin 18, Genève, Switzerland; Department of Surgical Sciences (S.H.), Radiology, Uppsala University, Sweden; Department of Radiology (S.H.), Beijing Tiantan Hospital, Capital Medical University, P. R. China; Centro de Investigación y Terapias Avanzadas (P.M.-L.), Neurología, CITA-Alzheimer Foundation, San Sebastián, Spain; Centre for Clinical Brain Sciences (D.M., A.W., J.M.W.), The University of Edinburgh; Department of Psychiatry (J.O.B.), School of Clinical Medicine, CB2 0SP, University of Cambridge, United Kingdom; Department of Nuclear Medicine (P.P.), Toulouse University Hospital; ToNIC (P.P.), Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, France; Edinburgh Dementia Prevention (C.R.), Centre for Clinical Brain Sciences, Outpatient Department 2, Western General Hospital, University of Edinburgh Brain Health Scotland (C.R.), Edinburgh, United Kingdom; Alzheimer Center Amsterdam (P.S., B.M.T., P.J.V.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.S., B.M.T., P.J.V.), Neurodegeneration, Amsterdam, The Netherlands; Takeda Pharmaceuticals Ltd. (A.J.S.), Cambridge, MA; Department of Medical Physics and Biomedical Engineering (C.H.S.), Centre for Medical Image Computing (CMIC), University College London (UCL); MRC Unit for Lifelong Health & Ageing at UCL (C.H.S.), University College London; School of Biomedical Engineering and Imaging Sciences (C.H.S.), King's College London, United Kingdom; Department of Pathophysiology and Transplantation (F.V., N.T., V.S.), "Dino Ferrari" Center, Università degli Studi di Milano, Milan, Italy; Alzheimer Center Limburg (P.J.V.), Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, 6229 GS, Maastricht University, The Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Department of Medicine (A.W.), Imperial College London; IXICO (R.W.), EC1A 9PN, London, United Kingdom; Université de Normandie (G.C.), Unicaen, Inserm, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", institut Blood-and-Brain @ Caen-Normandie, Cyceron, Caen, France; German Center for Neurodegenerative Diseases (DZNE) (M.E.), Munich, Germany; Ghent Institute for Functional and Metabolic Imaging (GIfMI) (H.M.), Ghent University, Belgium; Barcelonaβeta Brain Research Center (BBRC) (J.D.G.), Pasqual Maragall Foundation; CIBER Bioingeniería (J.D.G.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; IMIM (Hospital del Mar Medical Research Institute) (J.D.G.); Universitat Pompeu Fabra (J.D.G.), Barcelona, Spain; UK Dementia Research Institute Centre at the University of Edinburgh (J.M.W.); and Institutes of Neurology and Healthcare Engineering (F.B.), University College London, United Kingdom
| | - Nick C Fox
- From the Department of Radiology and Nuclear Medicine (L.L., S.I., L.E.C., M.T., A.M.W., F.B.), Amsterdam University Medical Centre, Vrije Universiteit; Amsterdam Neuroscience (L.L., S.I., L.E.C., A.M.W., H.M.), Brain Imaging, Amsterdam, The Netherlands; Department of Neurology and Laboratory of Neuroscience (A.M., F.V., N.T., V.S.), IRCCS Istituto Auxologico Italiano, Milan, Italy; Department of Radiology (S.I.), Copenhagen University Hospital Rigshospitalet; Cerebriu A/S (S.I.), Copenhagen, Denmark; Clinical Memory Research Unit (L.E.C.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Department of Advanced Biomedical Sciences (M.T.), University "Federico II," Naples, Italy; Department of Psychiatry and Neurochemistry (K.B., C.H.S.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburgn; Clinical Neurochemistry Laboratory (K.B.), Sahlgrenska University Hospital, Mölndal, Sweden; Neuroradiology Department (C.D.P.), University Hospital of Coventry and Warwickshire (UHCW), Coventry; GE HealthCare (C.F.), Amersham; Dementia Research Centre (N.C.F.), UCL Queen Square Institute of Neurology; UK Dementia Research Institute at University College London (N.C.F.), United Kingdom; Laboratory Alzheimer's Neuroimaging and Epidemiology (G.B.F.), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; University Hospitals and University of Geneva (G.B.F.); CIMC - Centre d'Imagerie Médicale de Cornavin (S.H.), Place de Cornavin 18, Genève, Switzerland; Department of Surgical Sciences (S.H.), Radiology, Uppsala University, Sweden; Department of Radiology (S.H.), Beijing Tiantan Hospital, Capital Medical University, P. R. China; Centro de Investigación y Terapias Avanzadas (P.M.-L.), Neurología, CITA-Alzheimer Foundation, San Sebastián, Spain; Centre for Clinical Brain Sciences (D.M., A.W., J.M.W.), The University of Edinburgh; Department of Psychiatry (J.O.B.), School of Clinical Medicine, CB2 0SP, University of Cambridge, United Kingdom; Department of Nuclear Medicine (P.P.), Toulouse University Hospital; ToNIC (P.P.), Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, France; Edinburgh Dementia Prevention (C.R.), Centre for Clinical Brain Sciences, Outpatient Department 2, Western General Hospital, University of Edinburgh Brain Health Scotland (C.R.), Edinburgh, United Kingdom; Alzheimer Center Amsterdam (P.S., B.M.T., P.J.V.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.S., B.M.T., P.J.V.), Neurodegeneration, Amsterdam, The Netherlands; Takeda Pharmaceuticals Ltd. (A.J.S.), Cambridge, MA; Department of Medical Physics and Biomedical Engineering (C.H.S.), Centre for Medical Image Computing (CMIC), University College London (UCL); MRC Unit for Lifelong Health & Ageing at UCL (C.H.S.), University College London; School of Biomedical Engineering and Imaging Sciences (C.H.S.), King's College London, United Kingdom; Department of Pathophysiology and Transplantation (F.V., N.T., V.S.), "Dino Ferrari" Center, Università degli Studi di Milano, Milan, Italy; Alzheimer Center Limburg (P.J.V.), Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, 6229 GS, Maastricht University, The Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Department of Medicine (A.W.), Imperial College London; IXICO (R.W.), EC1A 9PN, London, United Kingdom; Université de Normandie (G.C.), Unicaen, Inserm, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", institut Blood-and-Brain @ Caen-Normandie, Cyceron, Caen, France; German Center for Neurodegenerative Diseases (DZNE) (M.E.), Munich, Germany; Ghent Institute for Functional and Metabolic Imaging (GIfMI) (H.M.), Ghent University, Belgium; Barcelonaβeta Brain Research Center (BBRC) (J.D.G.), Pasqual Maragall Foundation; CIBER Bioingeniería (J.D.G.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; IMIM (Hospital del Mar Medical Research Institute) (J.D.G.); Universitat Pompeu Fabra (J.D.G.), Barcelona, Spain; UK Dementia Research Institute Centre at the University of Edinburgh (J.M.W.); and Institutes of Neurology and Healthcare Engineering (F.B.), University College London, United Kingdom
| | - Giovanni B Frisoni
- From the Department of Radiology and Nuclear Medicine (L.L., S.I., L.E.C., M.T., A.M.W., F.B.), Amsterdam University Medical Centre, Vrije Universiteit; Amsterdam Neuroscience (L.L., S.I., L.E.C., A.M.W., H.M.), Brain Imaging, Amsterdam, The Netherlands; Department of Neurology and Laboratory of Neuroscience (A.M., F.V., N.T., V.S.), IRCCS Istituto Auxologico Italiano, Milan, Italy; Department of Radiology (S.I.), Copenhagen University Hospital Rigshospitalet; Cerebriu A/S (S.I.), Copenhagen, Denmark; Clinical Memory Research Unit (L.E.C.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Department of Advanced Biomedical Sciences (M.T.), University "Federico II," Naples, Italy; Department of Psychiatry and Neurochemistry (K.B., C.H.S.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburgn; Clinical Neurochemistry Laboratory (K.B.), Sahlgrenska University Hospital, Mölndal, Sweden; Neuroradiology Department (C.D.P.), University Hospital of Coventry and Warwickshire (UHCW), Coventry; GE HealthCare (C.F.), Amersham; Dementia Research Centre (N.C.F.), UCL Queen Square Institute of Neurology; UK Dementia Research Institute at University College London (N.C.F.), United Kingdom; Laboratory Alzheimer's Neuroimaging and Epidemiology (G.B.F.), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; University Hospitals and University of Geneva (G.B.F.); CIMC - Centre d'Imagerie Médicale de Cornavin (S.H.), Place de Cornavin 18, Genève, Switzerland; Department of Surgical Sciences (S.H.), Radiology, Uppsala University, Sweden; Department of Radiology (S.H.), Beijing Tiantan Hospital, Capital Medical University, P. R. China; Centro de Investigación y Terapias Avanzadas (P.M.-L.), Neurología, CITA-Alzheimer Foundation, San Sebastián, Spain; Centre for Clinical Brain Sciences (D.M., A.W., J.M.W.), The University of Edinburgh; Department of Psychiatry (J.O.B.), School of Clinical Medicine, CB2 0SP, University of Cambridge, United Kingdom; Department of Nuclear Medicine (P.P.), Toulouse University Hospital; ToNIC (P.P.), Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, France; Edinburgh Dementia Prevention (C.R.), Centre for Clinical Brain Sciences, Outpatient Department 2, Western General Hospital, University of Edinburgh Brain Health Scotland (C.R.), Edinburgh, United Kingdom; Alzheimer Center Amsterdam (P.S., B.M.T., P.J.V.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.S., B.M.T., P.J.V.), Neurodegeneration, Amsterdam, The Netherlands; Takeda Pharmaceuticals Ltd. (A.J.S.), Cambridge, MA; Department of Medical Physics and Biomedical Engineering (C.H.S.), Centre for Medical Image Computing (CMIC), University College London (UCL); MRC Unit for Lifelong Health & Ageing at UCL (C.H.S.), University College London; School of Biomedical Engineering and Imaging Sciences (C.H.S.), King's College London, United Kingdom; Department of Pathophysiology and Transplantation (F.V., N.T., V.S.), "Dino Ferrari" Center, Università degli Studi di Milano, Milan, Italy; Alzheimer Center Limburg (P.J.V.), Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, 6229 GS, Maastricht University, The Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Department of Medicine (A.W.), Imperial College London; IXICO (R.W.), EC1A 9PN, London, United Kingdom; Université de Normandie (G.C.), Unicaen, Inserm, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", institut Blood-and-Brain @ Caen-Normandie, Cyceron, Caen, France; German Center for Neurodegenerative Diseases (DZNE) (M.E.), Munich, Germany; Ghent Institute for Functional and Metabolic Imaging (GIfMI) (H.M.), Ghent University, Belgium; Barcelonaβeta Brain Research Center (BBRC) (J.D.G.), Pasqual Maragall Foundation; CIBER Bioingeniería (J.D.G.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; IMIM (Hospital del Mar Medical Research Institute) (J.D.G.); Universitat Pompeu Fabra (J.D.G.), Barcelona, Spain; UK Dementia Research Institute Centre at the University of Edinburgh (J.M.W.); and Institutes of Neurology and Healthcare Engineering (F.B.), University College London, United Kingdom
| | - Sven Haller
- From the Department of Radiology and Nuclear Medicine (L.L., S.I., L.E.C., M.T., A.M.W., F.B.), Amsterdam University Medical Centre, Vrije Universiteit; Amsterdam Neuroscience (L.L., S.I., L.E.C., A.M.W., H.M.), Brain Imaging, Amsterdam, The Netherlands; Department of Neurology and Laboratory of Neuroscience (A.M., F.V., N.T., V.S.), IRCCS Istituto Auxologico Italiano, Milan, Italy; Department of Radiology (S.I.), Copenhagen University Hospital Rigshospitalet; Cerebriu A/S (S.I.), Copenhagen, Denmark; Clinical Memory Research Unit (L.E.C.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Department of Advanced Biomedical Sciences (M.T.), University "Federico II," Naples, Italy; Department of Psychiatry and Neurochemistry (K.B., C.H.S.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburgn; Clinical Neurochemistry Laboratory (K.B.), Sahlgrenska University Hospital, Mölndal, Sweden; Neuroradiology Department (C.D.P.), University Hospital of Coventry and Warwickshire (UHCW), Coventry; GE HealthCare (C.F.), Amersham; Dementia Research Centre (N.C.F.), UCL Queen Square Institute of Neurology; UK Dementia Research Institute at University College London (N.C.F.), United Kingdom; Laboratory Alzheimer's Neuroimaging and Epidemiology (G.B.F.), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; University Hospitals and University of Geneva (G.B.F.); CIMC - Centre d'Imagerie Médicale de Cornavin (S.H.), Place de Cornavin 18, Genève, Switzerland; Department of Surgical Sciences (S.H.), Radiology, Uppsala University, Sweden; Department of Radiology (S.H.), Beijing Tiantan Hospital, Capital Medical University, P. R. China; Centro de Investigación y Terapias Avanzadas (P.M.-L.), Neurología, CITA-Alzheimer Foundation, San Sebastián, Spain; Centre for Clinical Brain Sciences (D.M., A.W., J.M.W.), The University of Edinburgh; Department of Psychiatry (J.O.B.), School of Clinical Medicine, CB2 0SP, University of Cambridge, United Kingdom; Department of Nuclear Medicine (P.P.), Toulouse University Hospital; ToNIC (P.P.), Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, France; Edinburgh Dementia Prevention (C.R.), Centre for Clinical Brain Sciences, Outpatient Department 2, Western General Hospital, University of Edinburgh Brain Health Scotland (C.R.), Edinburgh, United Kingdom; Alzheimer Center Amsterdam (P.S., B.M.T., P.J.V.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.S., B.M.T., P.J.V.), Neurodegeneration, Amsterdam, The Netherlands; Takeda Pharmaceuticals Ltd. (A.J.S.), Cambridge, MA; Department of Medical Physics and Biomedical Engineering (C.H.S.), Centre for Medical Image Computing (CMIC), University College London (UCL); MRC Unit for Lifelong Health & Ageing at UCL (C.H.S.), University College London; School of Biomedical Engineering and Imaging Sciences (C.H.S.), King's College London, United Kingdom; Department of Pathophysiology and Transplantation (F.V., N.T., V.S.), "Dino Ferrari" Center, Università degli Studi di Milano, Milan, Italy; Alzheimer Center Limburg (P.J.V.), Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, 6229 GS, Maastricht University, The Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Department of Medicine (A.W.), Imperial College London; IXICO (R.W.), EC1A 9PN, London, United Kingdom; Université de Normandie (G.C.), Unicaen, Inserm, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", institut Blood-and-Brain @ Caen-Normandie, Cyceron, Caen, France; German Center for Neurodegenerative Diseases (DZNE) (M.E.), Munich, Germany; Ghent Institute for Functional and Metabolic Imaging (GIfMI) (H.M.), Ghent University, Belgium; Barcelonaβeta Brain Research Center (BBRC) (J.D.G.), Pasqual Maragall Foundation; CIBER Bioingeniería (J.D.G.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; IMIM (Hospital del Mar Medical Research Institute) (J.D.G.); Universitat Pompeu Fabra (J.D.G.), Barcelona, Spain; UK Dementia Research Institute Centre at the University of Edinburgh (J.M.W.); and Institutes of Neurology and Healthcare Engineering (F.B.), University College London, United Kingdom
| | - Pablo Martinez-Lage
- From the Department of Radiology and Nuclear Medicine (L.L., S.I., L.E.C., M.T., A.M.W., F.B.), Amsterdam University Medical Centre, Vrije Universiteit; Amsterdam Neuroscience (L.L., S.I., L.E.C., A.M.W., H.M.), Brain Imaging, Amsterdam, The Netherlands; Department of Neurology and Laboratory of Neuroscience (A.M., F.V., N.T., V.S.), IRCCS Istituto Auxologico Italiano, Milan, Italy; Department of Radiology (S.I.), Copenhagen University Hospital Rigshospitalet; Cerebriu A/S (S.I.), Copenhagen, Denmark; Clinical Memory Research Unit (L.E.C.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Department of Advanced Biomedical Sciences (M.T.), University "Federico II," Naples, Italy; Department of Psychiatry and Neurochemistry (K.B., C.H.S.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburgn; Clinical Neurochemistry Laboratory (K.B.), Sahlgrenska University Hospital, Mölndal, Sweden; Neuroradiology Department (C.D.P.), University Hospital of Coventry and Warwickshire (UHCW), Coventry; GE HealthCare (C.F.), Amersham; Dementia Research Centre (N.C.F.), UCL Queen Square Institute of Neurology; UK Dementia Research Institute at University College London (N.C.F.), United Kingdom; Laboratory Alzheimer's Neuroimaging and Epidemiology (G.B.F.), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; University Hospitals and University of Geneva (G.B.F.); CIMC - Centre d'Imagerie Médicale de Cornavin (S.H.), Place de Cornavin 18, Genève, Switzerland; Department of Surgical Sciences (S.H.), Radiology, Uppsala University, Sweden; Department of Radiology (S.H.), Beijing Tiantan Hospital, Capital Medical University, P. R. China; Centro de Investigación y Terapias Avanzadas (P.M.-L.), Neurología, CITA-Alzheimer Foundation, San Sebastián, Spain; Centre for Clinical Brain Sciences (D.M., A.W., J.M.W.), The University of Edinburgh; Department of Psychiatry (J.O.B.), School of Clinical Medicine, CB2 0SP, University of Cambridge, United Kingdom; Department of Nuclear Medicine (P.P.), Toulouse University Hospital; ToNIC (P.P.), Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, France; Edinburgh Dementia Prevention (C.R.), Centre for Clinical Brain Sciences, Outpatient Department 2, Western General Hospital, University of Edinburgh Brain Health Scotland (C.R.), Edinburgh, United Kingdom; Alzheimer Center Amsterdam (P.S., B.M.T., P.J.V.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.S., B.M.T., P.J.V.), Neurodegeneration, Amsterdam, The Netherlands; Takeda Pharmaceuticals Ltd. (A.J.S.), Cambridge, MA; Department of Medical Physics and Biomedical Engineering (C.H.S.), Centre for Medical Image Computing (CMIC), University College London (UCL); MRC Unit for Lifelong Health & Ageing at UCL (C.H.S.), University College London; School of Biomedical Engineering and Imaging Sciences (C.H.S.), King's College London, United Kingdom; Department of Pathophysiology and Transplantation (F.V., N.T., V.S.), "Dino Ferrari" Center, Università degli Studi di Milano, Milan, Italy; Alzheimer Center Limburg (P.J.V.), Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, 6229 GS, Maastricht University, The Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Department of Medicine (A.W.), Imperial College London; IXICO (R.W.), EC1A 9PN, London, United Kingdom; Université de Normandie (G.C.), Unicaen, Inserm, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", institut Blood-and-Brain @ Caen-Normandie, Cyceron, Caen, France; German Center for Neurodegenerative Diseases (DZNE) (M.E.), Munich, Germany; Ghent Institute for Functional and Metabolic Imaging (GIfMI) (H.M.), Ghent University, Belgium; Barcelonaβeta Brain Research Center (BBRC) (J.D.G.), Pasqual Maragall Foundation; CIBER Bioingeniería (J.D.G.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; IMIM (Hospital del Mar Medical Research Institute) (J.D.G.); Universitat Pompeu Fabra (J.D.G.), Barcelona, Spain; UK Dementia Research Institute Centre at the University of Edinburgh (J.M.W.); and Institutes of Neurology and Healthcare Engineering (F.B.), University College London, United Kingdom
| | - Daisy Mollison
- From the Department of Radiology and Nuclear Medicine (L.L., S.I., L.E.C., M.T., A.M.W., F.B.), Amsterdam University Medical Centre, Vrije Universiteit; Amsterdam Neuroscience (L.L., S.I., L.E.C., A.M.W., H.M.), Brain Imaging, Amsterdam, The Netherlands; Department of Neurology and Laboratory of Neuroscience (A.M., F.V., N.T., V.S.), IRCCS Istituto Auxologico Italiano, Milan, Italy; Department of Radiology (S.I.), Copenhagen University Hospital Rigshospitalet; Cerebriu A/S (S.I.), Copenhagen, Denmark; Clinical Memory Research Unit (L.E.C.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Department of Advanced Biomedical Sciences (M.T.), University "Federico II," Naples, Italy; Department of Psychiatry and Neurochemistry (K.B., C.H.S.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburgn; Clinical Neurochemistry Laboratory (K.B.), Sahlgrenska University Hospital, Mölndal, Sweden; Neuroradiology Department (C.D.P.), University Hospital of Coventry and Warwickshire (UHCW), Coventry; GE HealthCare (C.F.), Amersham; Dementia Research Centre (N.C.F.), UCL Queen Square Institute of Neurology; UK Dementia Research Institute at University College London (N.C.F.), United Kingdom; Laboratory Alzheimer's Neuroimaging and Epidemiology (G.B.F.), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; University Hospitals and University of Geneva (G.B.F.); CIMC - Centre d'Imagerie Médicale de Cornavin (S.H.), Place de Cornavin 18, Genève, Switzerland; Department of Surgical Sciences (S.H.), Radiology, Uppsala University, Sweden; Department of Radiology (S.H.), Beijing Tiantan Hospital, Capital Medical University, P. R. China; Centro de Investigación y Terapias Avanzadas (P.M.-L.), Neurología, CITA-Alzheimer Foundation, San Sebastián, Spain; Centre for Clinical Brain Sciences (D.M., A.W., J.M.W.), The University of Edinburgh; Department of Psychiatry (J.O.B.), School of Clinical Medicine, CB2 0SP, University of Cambridge, United Kingdom; Department of Nuclear Medicine (P.P.), Toulouse University Hospital; ToNIC (P.P.), Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, France; Edinburgh Dementia Prevention (C.R.), Centre for Clinical Brain Sciences, Outpatient Department 2, Western General Hospital, University of Edinburgh Brain Health Scotland (C.R.), Edinburgh, United Kingdom; Alzheimer Center Amsterdam (P.S., B.M.T., P.J.V.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.S., B.M.T., P.J.V.), Neurodegeneration, Amsterdam, The Netherlands; Takeda Pharmaceuticals Ltd. (A.J.S.), Cambridge, MA; Department of Medical Physics and Biomedical Engineering (C.H.S.), Centre for Medical Image Computing (CMIC), University College London (UCL); MRC Unit for Lifelong Health & Ageing at UCL (C.H.S.), University College London; School of Biomedical Engineering and Imaging Sciences (C.H.S.), King's College London, United Kingdom; Department of Pathophysiology and Transplantation (F.V., N.T., V.S.), "Dino Ferrari" Center, Università degli Studi di Milano, Milan, Italy; Alzheimer Center Limburg (P.J.V.), Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, 6229 GS, Maastricht University, The Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Department of Medicine (A.W.), Imperial College London; IXICO (R.W.), EC1A 9PN, London, United Kingdom; Université de Normandie (G.C.), Unicaen, Inserm, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", institut Blood-and-Brain @ Caen-Normandie, Cyceron, Caen, France; German Center for Neurodegenerative Diseases (DZNE) (M.E.), Munich, Germany; Ghent Institute for Functional and Metabolic Imaging (GIfMI) (H.M.), Ghent University, Belgium; Barcelonaβeta Brain Research Center (BBRC) (J.D.G.), Pasqual Maragall Foundation; CIBER Bioingeniería (J.D.G.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; IMIM (Hospital del Mar Medical Research Institute) (J.D.G.); Universitat Pompeu Fabra (J.D.G.), Barcelona, Spain; UK Dementia Research Institute Centre at the University of Edinburgh (J.M.W.); and Institutes of Neurology and Healthcare Engineering (F.B.), University College London, United Kingdom
| | - John O'Brien
- From the Department of Radiology and Nuclear Medicine (L.L., S.I., L.E.C., M.T., A.M.W., F.B.), Amsterdam University Medical Centre, Vrije Universiteit; Amsterdam Neuroscience (L.L., S.I., L.E.C., A.M.W., H.M.), Brain Imaging, Amsterdam, The Netherlands; Department of Neurology and Laboratory of Neuroscience (A.M., F.V., N.T., V.S.), IRCCS Istituto Auxologico Italiano, Milan, Italy; Department of Radiology (S.I.), Copenhagen University Hospital Rigshospitalet; Cerebriu A/S (S.I.), Copenhagen, Denmark; Clinical Memory Research Unit (L.E.C.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Department of Advanced Biomedical Sciences (M.T.), University "Federico II," Naples, Italy; Department of Psychiatry and Neurochemistry (K.B., C.H.S.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburgn; Clinical Neurochemistry Laboratory (K.B.), Sahlgrenska University Hospital, Mölndal, Sweden; Neuroradiology Department (C.D.P.), University Hospital of Coventry and Warwickshire (UHCW), Coventry; GE HealthCare (C.F.), Amersham; Dementia Research Centre (N.C.F.), UCL Queen Square Institute of Neurology; UK Dementia Research Institute at University College London (N.C.F.), United Kingdom; Laboratory Alzheimer's Neuroimaging and Epidemiology (G.B.F.), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; University Hospitals and University of Geneva (G.B.F.); CIMC - Centre d'Imagerie Médicale de Cornavin (S.H.), Place de Cornavin 18, Genève, Switzerland; Department of Surgical Sciences (S.H.), Radiology, Uppsala University, Sweden; Department of Radiology (S.H.), Beijing Tiantan Hospital, Capital Medical University, P. R. China; Centro de Investigación y Terapias Avanzadas (P.M.-L.), Neurología, CITA-Alzheimer Foundation, San Sebastián, Spain; Centre for Clinical Brain Sciences (D.M., A.W., J.M.W.), The University of Edinburgh; Department of Psychiatry (J.O.B.), School of Clinical Medicine, CB2 0SP, University of Cambridge, United Kingdom; Department of Nuclear Medicine (P.P.), Toulouse University Hospital; ToNIC (P.P.), Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, France; Edinburgh Dementia Prevention (C.R.), Centre for Clinical Brain Sciences, Outpatient Department 2, Western General Hospital, University of Edinburgh Brain Health Scotland (C.R.), Edinburgh, United Kingdom; Alzheimer Center Amsterdam (P.S., B.M.T., P.J.V.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.S., B.M.T., P.J.V.), Neurodegeneration, Amsterdam, The Netherlands; Takeda Pharmaceuticals Ltd. (A.J.S.), Cambridge, MA; Department of Medical Physics and Biomedical Engineering (C.H.S.), Centre for Medical Image Computing (CMIC), University College London (UCL); MRC Unit for Lifelong Health & Ageing at UCL (C.H.S.), University College London; School of Biomedical Engineering and Imaging Sciences (C.H.S.), King's College London, United Kingdom; Department of Pathophysiology and Transplantation (F.V., N.T., V.S.), "Dino Ferrari" Center, Università degli Studi di Milano, Milan, Italy; Alzheimer Center Limburg (P.J.V.), Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, 6229 GS, Maastricht University, The Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Department of Medicine (A.W.), Imperial College London; IXICO (R.W.), EC1A 9PN, London, United Kingdom; Université de Normandie (G.C.), Unicaen, Inserm, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", institut Blood-and-Brain @ Caen-Normandie, Cyceron, Caen, France; German Center for Neurodegenerative Diseases (DZNE) (M.E.), Munich, Germany; Ghent Institute for Functional and Metabolic Imaging (GIfMI) (H.M.), Ghent University, Belgium; Barcelonaβeta Brain Research Center (BBRC) (J.D.G.), Pasqual Maragall Foundation; CIBER Bioingeniería (J.D.G.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; IMIM (Hospital del Mar Medical Research Institute) (J.D.G.); Universitat Pompeu Fabra (J.D.G.), Barcelona, Spain; UK Dementia Research Institute Centre at the University of Edinburgh (J.M.W.); and Institutes of Neurology and Healthcare Engineering (F.B.), University College London, United Kingdom
| | - Pierre Payoux
- From the Department of Radiology and Nuclear Medicine (L.L., S.I., L.E.C., M.T., A.M.W., F.B.), Amsterdam University Medical Centre, Vrije Universiteit; Amsterdam Neuroscience (L.L., S.I., L.E.C., A.M.W., H.M.), Brain Imaging, Amsterdam, The Netherlands; Department of Neurology and Laboratory of Neuroscience (A.M., F.V., N.T., V.S.), IRCCS Istituto Auxologico Italiano, Milan, Italy; Department of Radiology (S.I.), Copenhagen University Hospital Rigshospitalet; Cerebriu A/S (S.I.), Copenhagen, Denmark; Clinical Memory Research Unit (L.E.C.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Department of Advanced Biomedical Sciences (M.T.), University "Federico II," Naples, Italy; Department of Psychiatry and Neurochemistry (K.B., C.H.S.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburgn; Clinical Neurochemistry Laboratory (K.B.), Sahlgrenska University Hospital, Mölndal, Sweden; Neuroradiology Department (C.D.P.), University Hospital of Coventry and Warwickshire (UHCW), Coventry; GE HealthCare (C.F.), Amersham; Dementia Research Centre (N.C.F.), UCL Queen Square Institute of Neurology; UK Dementia Research Institute at University College London (N.C.F.), United Kingdom; Laboratory Alzheimer's Neuroimaging and Epidemiology (G.B.F.), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; University Hospitals and University of Geneva (G.B.F.); CIMC - Centre d'Imagerie Médicale de Cornavin (S.H.), Place de Cornavin 18, Genève, Switzerland; Department of Surgical Sciences (S.H.), Radiology, Uppsala University, Sweden; Department of Radiology (S.H.), Beijing Tiantan Hospital, Capital Medical University, P. R. China; Centro de Investigación y Terapias Avanzadas (P.M.-L.), Neurología, CITA-Alzheimer Foundation, San Sebastián, Spain; Centre for Clinical Brain Sciences (D.M., A.W., J.M.W.), The University of Edinburgh; Department of Psychiatry (J.O.B.), School of Clinical Medicine, CB2 0SP, University of Cambridge, United Kingdom; Department of Nuclear Medicine (P.P.), Toulouse University Hospital; ToNIC (P.P.), Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, France; Edinburgh Dementia Prevention (C.R.), Centre for Clinical Brain Sciences, Outpatient Department 2, Western General Hospital, University of Edinburgh Brain Health Scotland (C.R.), Edinburgh, United Kingdom; Alzheimer Center Amsterdam (P.S., B.M.T., P.J.V.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.S., B.M.T., P.J.V.), Neurodegeneration, Amsterdam, The Netherlands; Takeda Pharmaceuticals Ltd. (A.J.S.), Cambridge, MA; Department of Medical Physics and Biomedical Engineering (C.H.S.), Centre for Medical Image Computing (CMIC), University College London (UCL); MRC Unit for Lifelong Health & Ageing at UCL (C.H.S.), University College London; School of Biomedical Engineering and Imaging Sciences (C.H.S.), King's College London, United Kingdom; Department of Pathophysiology and Transplantation (F.V., N.T., V.S.), "Dino Ferrari" Center, Università degli Studi di Milano, Milan, Italy; Alzheimer Center Limburg (P.J.V.), Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, 6229 GS, Maastricht University, The Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Department of Medicine (A.W.), Imperial College London; IXICO (R.W.), EC1A 9PN, London, United Kingdom; Université de Normandie (G.C.), Unicaen, Inserm, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", institut Blood-and-Brain @ Caen-Normandie, Cyceron, Caen, France; German Center for Neurodegenerative Diseases (DZNE) (M.E.), Munich, Germany; Ghent Institute for Functional and Metabolic Imaging (GIfMI) (H.M.), Ghent University, Belgium; Barcelonaβeta Brain Research Center (BBRC) (J.D.G.), Pasqual Maragall Foundation; CIBER Bioingeniería (J.D.G.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; IMIM (Hospital del Mar Medical Research Institute) (J.D.G.); Universitat Pompeu Fabra (J.D.G.), Barcelona, Spain; UK Dementia Research Institute Centre at the University of Edinburgh (J.M.W.); and Institutes of Neurology and Healthcare Engineering (F.B.), University College London, United Kingdom
| | - Craig Ritchie
- From the Department of Radiology and Nuclear Medicine (L.L., S.I., L.E.C., M.T., A.M.W., F.B.), Amsterdam University Medical Centre, Vrije Universiteit; Amsterdam Neuroscience (L.L., S.I., L.E.C., A.M.W., H.M.), Brain Imaging, Amsterdam, The Netherlands; Department of Neurology and Laboratory of Neuroscience (A.M., F.V., N.T., V.S.), IRCCS Istituto Auxologico Italiano, Milan, Italy; Department of Radiology (S.I.), Copenhagen University Hospital Rigshospitalet; Cerebriu A/S (S.I.), Copenhagen, Denmark; Clinical Memory Research Unit (L.E.C.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Department of Advanced Biomedical Sciences (M.T.), University "Federico II," Naples, Italy; Department of Psychiatry and Neurochemistry (K.B., C.H.S.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburgn; Clinical Neurochemistry Laboratory (K.B.), Sahlgrenska University Hospital, Mölndal, Sweden; Neuroradiology Department (C.D.P.), University Hospital of Coventry and Warwickshire (UHCW), Coventry; GE HealthCare (C.F.), Amersham; Dementia Research Centre (N.C.F.), UCL Queen Square Institute of Neurology; UK Dementia Research Institute at University College London (N.C.F.), United Kingdom; Laboratory Alzheimer's Neuroimaging and Epidemiology (G.B.F.), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; University Hospitals and University of Geneva (G.B.F.); CIMC - Centre d'Imagerie Médicale de Cornavin (S.H.), Place de Cornavin 18, Genève, Switzerland; Department of Surgical Sciences (S.H.), Radiology, Uppsala University, Sweden; Department of Radiology (S.H.), Beijing Tiantan Hospital, Capital Medical University, P. R. China; Centro de Investigación y Terapias Avanzadas (P.M.-L.), Neurología, CITA-Alzheimer Foundation, San Sebastián, Spain; Centre for Clinical Brain Sciences (D.M., A.W., J.M.W.), The University of Edinburgh; Department of Psychiatry (J.O.B.), School of Clinical Medicine, CB2 0SP, University of Cambridge, United Kingdom; Department of Nuclear Medicine (P.P.), Toulouse University Hospital; ToNIC (P.P.), Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, France; Edinburgh Dementia Prevention (C.R.), Centre for Clinical Brain Sciences, Outpatient Department 2, Western General Hospital, University of Edinburgh Brain Health Scotland (C.R.), Edinburgh, United Kingdom; Alzheimer Center Amsterdam (P.S., B.M.T., P.J.V.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.S., B.M.T., P.J.V.), Neurodegeneration, Amsterdam, The Netherlands; Takeda Pharmaceuticals Ltd. (A.J.S.), Cambridge, MA; Department of Medical Physics and Biomedical Engineering (C.H.S.), Centre for Medical Image Computing (CMIC), University College London (UCL); MRC Unit for Lifelong Health & Ageing at UCL (C.H.S.), University College London; School of Biomedical Engineering and Imaging Sciences (C.H.S.), King's College London, United Kingdom; Department of Pathophysiology and Transplantation (F.V., N.T., V.S.), "Dino Ferrari" Center, Università degli Studi di Milano, Milan, Italy; Alzheimer Center Limburg (P.J.V.), Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, 6229 GS, Maastricht University, The Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Department of Medicine (A.W.), Imperial College London; IXICO (R.W.), EC1A 9PN, London, United Kingdom; Université de Normandie (G.C.), Unicaen, Inserm, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", institut Blood-and-Brain @ Caen-Normandie, Cyceron, Caen, France; German Center for Neurodegenerative Diseases (DZNE) (M.E.), Munich, Germany; Ghent Institute for Functional and Metabolic Imaging (GIfMI) (H.M.), Ghent University, Belgium; Barcelonaβeta Brain Research Center (BBRC) (J.D.G.), Pasqual Maragall Foundation; CIBER Bioingeniería (J.D.G.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; IMIM (Hospital del Mar Medical Research Institute) (J.D.G.); Universitat Pompeu Fabra (J.D.G.), Barcelona, Spain; UK Dementia Research Institute Centre at the University of Edinburgh (J.M.W.); and Institutes of Neurology and Healthcare Engineering (F.B.), University College London, United Kingdom
| | - Philip Scheltens
- From the Department of Radiology and Nuclear Medicine (L.L., S.I., L.E.C., M.T., A.M.W., F.B.), Amsterdam University Medical Centre, Vrije Universiteit; Amsterdam Neuroscience (L.L., S.I., L.E.C., A.M.W., H.M.), Brain Imaging, Amsterdam, The Netherlands; Department of Neurology and Laboratory of Neuroscience (A.M., F.V., N.T., V.S.), IRCCS Istituto Auxologico Italiano, Milan, Italy; Department of Radiology (S.I.), Copenhagen University Hospital Rigshospitalet; Cerebriu A/S (S.I.), Copenhagen, Denmark; Clinical Memory Research Unit (L.E.C.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Department of Advanced Biomedical Sciences (M.T.), University "Federico II," Naples, Italy; Department of Psychiatry and Neurochemistry (K.B., C.H.S.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburgn; Clinical Neurochemistry Laboratory (K.B.), Sahlgrenska University Hospital, Mölndal, Sweden; Neuroradiology Department (C.D.P.), University Hospital of Coventry and Warwickshire (UHCW), Coventry; GE HealthCare (C.F.), Amersham; Dementia Research Centre (N.C.F.), UCL Queen Square Institute of Neurology; UK Dementia Research Institute at University College London (N.C.F.), United Kingdom; Laboratory Alzheimer's Neuroimaging and Epidemiology (G.B.F.), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; University Hospitals and University of Geneva (G.B.F.); CIMC - Centre d'Imagerie Médicale de Cornavin (S.H.), Place de Cornavin 18, Genève, Switzerland; Department of Surgical Sciences (S.H.), Radiology, Uppsala University, Sweden; Department of Radiology (S.H.), Beijing Tiantan Hospital, Capital Medical University, P. R. China; Centro de Investigación y Terapias Avanzadas (P.M.-L.), Neurología, CITA-Alzheimer Foundation, San Sebastián, Spain; Centre for Clinical Brain Sciences (D.M., A.W., J.M.W.), The University of Edinburgh; Department of Psychiatry (J.O.B.), School of Clinical Medicine, CB2 0SP, University of Cambridge, United Kingdom; Department of Nuclear Medicine (P.P.), Toulouse University Hospital; ToNIC (P.P.), Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, France; Edinburgh Dementia Prevention (C.R.), Centre for Clinical Brain Sciences, Outpatient Department 2, Western General Hospital, University of Edinburgh Brain Health Scotland (C.R.), Edinburgh, United Kingdom; Alzheimer Center Amsterdam (P.S., B.M.T., P.J.V.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.S., B.M.T., P.J.V.), Neurodegeneration, Amsterdam, The Netherlands; Takeda Pharmaceuticals Ltd. (A.J.S.), Cambridge, MA; Department of Medical Physics and Biomedical Engineering (C.H.S.), Centre for Medical Image Computing (CMIC), University College London (UCL); MRC Unit for Lifelong Health & Ageing at UCL (C.H.S.), University College London; School of Biomedical Engineering and Imaging Sciences (C.H.S.), King's College London, United Kingdom; Department of Pathophysiology and Transplantation (F.V., N.T., V.S.), "Dino Ferrari" Center, Università degli Studi di Milano, Milan, Italy; Alzheimer Center Limburg (P.J.V.), Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, 6229 GS, Maastricht University, The Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Department of Medicine (A.W.), Imperial College London; IXICO (R.W.), EC1A 9PN, London, United Kingdom; Université de Normandie (G.C.), Unicaen, Inserm, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", institut Blood-and-Brain @ Caen-Normandie, Cyceron, Caen, France; German Center for Neurodegenerative Diseases (DZNE) (M.E.), Munich, Germany; Ghent Institute for Functional and Metabolic Imaging (GIfMI) (H.M.), Ghent University, Belgium; Barcelonaβeta Brain Research Center (BBRC) (J.D.G.), Pasqual Maragall Foundation; CIBER Bioingeniería (J.D.G.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; IMIM (Hospital del Mar Medical Research Institute) (J.D.G.); Universitat Pompeu Fabra (J.D.G.), Barcelona, Spain; UK Dementia Research Institute Centre at the University of Edinburgh (J.M.W.); and Institutes of Neurology and Healthcare Engineering (F.B.), University College London, United Kingdom
| | - Adam J Schwarz
- From the Department of Radiology and Nuclear Medicine (L.L., S.I., L.E.C., M.T., A.M.W., F.B.), Amsterdam University Medical Centre, Vrije Universiteit; Amsterdam Neuroscience (L.L., S.I., L.E.C., A.M.W., H.M.), Brain Imaging, Amsterdam, The Netherlands; Department of Neurology and Laboratory of Neuroscience (A.M., F.V., N.T., V.S.), IRCCS Istituto Auxologico Italiano, Milan, Italy; Department of Radiology (S.I.), Copenhagen University Hospital Rigshospitalet; Cerebriu A/S (S.I.), Copenhagen, Denmark; Clinical Memory Research Unit (L.E.C.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Department of Advanced Biomedical Sciences (M.T.), University "Federico II," Naples, Italy; Department of Psychiatry and Neurochemistry (K.B., C.H.S.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburgn; Clinical Neurochemistry Laboratory (K.B.), Sahlgrenska University Hospital, Mölndal, Sweden; Neuroradiology Department (C.D.P.), University Hospital of Coventry and Warwickshire (UHCW), Coventry; GE HealthCare (C.F.), Amersham; Dementia Research Centre (N.C.F.), UCL Queen Square Institute of Neurology; UK Dementia Research Institute at University College London (N.C.F.), United Kingdom; Laboratory Alzheimer's Neuroimaging and Epidemiology (G.B.F.), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; University Hospitals and University of Geneva (G.B.F.); CIMC - Centre d'Imagerie Médicale de Cornavin (S.H.), Place de Cornavin 18, Genève, Switzerland; Department of Surgical Sciences (S.H.), Radiology, Uppsala University, Sweden; Department of Radiology (S.H.), Beijing Tiantan Hospital, Capital Medical University, P. R. China; Centro de Investigación y Terapias Avanzadas (P.M.-L.), Neurología, CITA-Alzheimer Foundation, San Sebastián, Spain; Centre for Clinical Brain Sciences (D.M., A.W., J.M.W.), The University of Edinburgh; Department of Psychiatry (J.O.B.), School of Clinical Medicine, CB2 0SP, University of Cambridge, United Kingdom; Department of Nuclear Medicine (P.P.), Toulouse University Hospital; ToNIC (P.P.), Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, France; Edinburgh Dementia Prevention (C.R.), Centre for Clinical Brain Sciences, Outpatient Department 2, Western General Hospital, University of Edinburgh Brain Health Scotland (C.R.), Edinburgh, United Kingdom; Alzheimer Center Amsterdam (P.S., B.M.T., P.J.V.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.S., B.M.T., P.J.V.), Neurodegeneration, Amsterdam, The Netherlands; Takeda Pharmaceuticals Ltd. (A.J.S.), Cambridge, MA; Department of Medical Physics and Biomedical Engineering (C.H.S.), Centre for Medical Image Computing (CMIC), University College London (UCL); MRC Unit for Lifelong Health & Ageing at UCL (C.H.S.), University College London; School of Biomedical Engineering and Imaging Sciences (C.H.S.), King's College London, United Kingdom; Department of Pathophysiology and Transplantation (F.V., N.T., V.S.), "Dino Ferrari" Center, Università degli Studi di Milano, Milan, Italy; Alzheimer Center Limburg (P.J.V.), Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, 6229 GS, Maastricht University, The Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Department of Medicine (A.W.), Imperial College London; IXICO (R.W.), EC1A 9PN, London, United Kingdom; Université de Normandie (G.C.), Unicaen, Inserm, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", institut Blood-and-Brain @ Caen-Normandie, Cyceron, Caen, France; German Center for Neurodegenerative Diseases (DZNE) (M.E.), Munich, Germany; Ghent Institute for Functional and Metabolic Imaging (GIfMI) (H.M.), Ghent University, Belgium; Barcelonaβeta Brain Research Center (BBRC) (J.D.G.), Pasqual Maragall Foundation; CIBER Bioingeniería (J.D.G.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; IMIM (Hospital del Mar Medical Research Institute) (J.D.G.); Universitat Pompeu Fabra (J.D.G.), Barcelona, Spain; UK Dementia Research Institute Centre at the University of Edinburgh (J.M.W.); and Institutes of Neurology and Healthcare Engineering (F.B.), University College London, United Kingdom
| | - Carole H Sudre
- From the Department of Radiology and Nuclear Medicine (L.L., S.I., L.E.C., M.T., A.M.W., F.B.), Amsterdam University Medical Centre, Vrije Universiteit; Amsterdam Neuroscience (L.L., S.I., L.E.C., A.M.W., H.M.), Brain Imaging, Amsterdam, The Netherlands; Department of Neurology and Laboratory of Neuroscience (A.M., F.V., N.T., V.S.), IRCCS Istituto Auxologico Italiano, Milan, Italy; Department of Radiology (S.I.), Copenhagen University Hospital Rigshospitalet; Cerebriu A/S (S.I.), Copenhagen, Denmark; Clinical Memory Research Unit (L.E.C.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Department of Advanced Biomedical Sciences (M.T.), University "Federico II," Naples, Italy; Department of Psychiatry and Neurochemistry (K.B., C.H.S.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburgn; Clinical Neurochemistry Laboratory (K.B.), Sahlgrenska University Hospital, Mölndal, Sweden; Neuroradiology Department (C.D.P.), University Hospital of Coventry and Warwickshire (UHCW), Coventry; GE HealthCare (C.F.), Amersham; Dementia Research Centre (N.C.F.), UCL Queen Square Institute of Neurology; UK Dementia Research Institute at University College London (N.C.F.), United Kingdom; Laboratory Alzheimer's Neuroimaging and Epidemiology (G.B.F.), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; University Hospitals and University of Geneva (G.B.F.); CIMC - Centre d'Imagerie Médicale de Cornavin (S.H.), Place de Cornavin 18, Genève, Switzerland; Department of Surgical Sciences (S.H.), Radiology, Uppsala University, Sweden; Department of Radiology (S.H.), Beijing Tiantan Hospital, Capital Medical University, P. R. China; Centro de Investigación y Terapias Avanzadas (P.M.-L.), Neurología, CITA-Alzheimer Foundation, San Sebastián, Spain; Centre for Clinical Brain Sciences (D.M., A.W., J.M.W.), The University of Edinburgh; Department of Psychiatry (J.O.B.), School of Clinical Medicine, CB2 0SP, University of Cambridge, United Kingdom; Department of Nuclear Medicine (P.P.), Toulouse University Hospital; ToNIC (P.P.), Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, France; Edinburgh Dementia Prevention (C.R.), Centre for Clinical Brain Sciences, Outpatient Department 2, Western General Hospital, University of Edinburgh Brain Health Scotland (C.R.), Edinburgh, United Kingdom; Alzheimer Center Amsterdam (P.S., B.M.T., P.J.V.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.S., B.M.T., P.J.V.), Neurodegeneration, Amsterdam, The Netherlands; Takeda Pharmaceuticals Ltd. (A.J.S.), Cambridge, MA; Department of Medical Physics and Biomedical Engineering (C.H.S.), Centre for Medical Image Computing (CMIC), University College London (UCL); MRC Unit for Lifelong Health & Ageing at UCL (C.H.S.), University College London; School of Biomedical Engineering and Imaging Sciences (C.H.S.), King's College London, United Kingdom; Department of Pathophysiology and Transplantation (F.V., N.T., V.S.), "Dino Ferrari" Center, Università degli Studi di Milano, Milan, Italy; Alzheimer Center Limburg (P.J.V.), Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, 6229 GS, Maastricht University, The Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Department of Medicine (A.W.), Imperial College London; IXICO (R.W.), EC1A 9PN, London, United Kingdom; Université de Normandie (G.C.), Unicaen, Inserm, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", institut Blood-and-Brain @ Caen-Normandie, Cyceron, Caen, France; German Center for Neurodegenerative Diseases (DZNE) (M.E.), Munich, Germany; Ghent Institute for Functional and Metabolic Imaging (GIfMI) (H.M.), Ghent University, Belgium; Barcelonaβeta Brain Research Center (BBRC) (J.D.G.), Pasqual Maragall Foundation; CIBER Bioingeniería (J.D.G.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; IMIM (Hospital del Mar Medical Research Institute) (J.D.G.); Universitat Pompeu Fabra (J.D.G.), Barcelona, Spain; UK Dementia Research Institute Centre at the University of Edinburgh (J.M.W.); and Institutes of Neurology and Healthcare Engineering (F.B.), University College London, United Kingdom
| | - Betty M Tijms
- From the Department of Radiology and Nuclear Medicine (L.L., S.I., L.E.C., M.T., A.M.W., F.B.), Amsterdam University Medical Centre, Vrije Universiteit; Amsterdam Neuroscience (L.L., S.I., L.E.C., A.M.W., H.M.), Brain Imaging, Amsterdam, The Netherlands; Department of Neurology and Laboratory of Neuroscience (A.M., F.V., N.T., V.S.), IRCCS Istituto Auxologico Italiano, Milan, Italy; Department of Radiology (S.I.), Copenhagen University Hospital Rigshospitalet; Cerebriu A/S (S.I.), Copenhagen, Denmark; Clinical Memory Research Unit (L.E.C.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Department of Advanced Biomedical Sciences (M.T.), University "Federico II," Naples, Italy; Department of Psychiatry and Neurochemistry (K.B., C.H.S.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburgn; Clinical Neurochemistry Laboratory (K.B.), Sahlgrenska University Hospital, Mölndal, Sweden; Neuroradiology Department (C.D.P.), University Hospital of Coventry and Warwickshire (UHCW), Coventry; GE HealthCare (C.F.), Amersham; Dementia Research Centre (N.C.F.), UCL Queen Square Institute of Neurology; UK Dementia Research Institute at University College London (N.C.F.), United Kingdom; Laboratory Alzheimer's Neuroimaging and Epidemiology (G.B.F.), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; University Hospitals and University of Geneva (G.B.F.); CIMC - Centre d'Imagerie Médicale de Cornavin (S.H.), Place de Cornavin 18, Genève, Switzerland; Department of Surgical Sciences (S.H.), Radiology, Uppsala University, Sweden; Department of Radiology (S.H.), Beijing Tiantan Hospital, Capital Medical University, P. R. China; Centro de Investigación y Terapias Avanzadas (P.M.-L.), Neurología, CITA-Alzheimer Foundation, San Sebastián, Spain; Centre for Clinical Brain Sciences (D.M., A.W., J.M.W.), The University of Edinburgh; Department of Psychiatry (J.O.B.), School of Clinical Medicine, CB2 0SP, University of Cambridge, United Kingdom; Department of Nuclear Medicine (P.P.), Toulouse University Hospital; ToNIC (P.P.), Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, France; Edinburgh Dementia Prevention (C.R.), Centre for Clinical Brain Sciences, Outpatient Department 2, Western General Hospital, University of Edinburgh Brain Health Scotland (C.R.), Edinburgh, United Kingdom; Alzheimer Center Amsterdam (P.S., B.M.T., P.J.V.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.S., B.M.T., P.J.V.), Neurodegeneration, Amsterdam, The Netherlands; Takeda Pharmaceuticals Ltd. (A.J.S.), Cambridge, MA; Department of Medical Physics and Biomedical Engineering (C.H.S.), Centre for Medical Image Computing (CMIC), University College London (UCL); MRC Unit for Lifelong Health & Ageing at UCL (C.H.S.), University College London; School of Biomedical Engineering and Imaging Sciences (C.H.S.), King's College London, United Kingdom; Department of Pathophysiology and Transplantation (F.V., N.T., V.S.), "Dino Ferrari" Center, Università degli Studi di Milano, Milan, Italy; Alzheimer Center Limburg (P.J.V.), Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, 6229 GS, Maastricht University, The Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Department of Medicine (A.W.), Imperial College London; IXICO (R.W.), EC1A 9PN, London, United Kingdom; Université de Normandie (G.C.), Unicaen, Inserm, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", institut Blood-and-Brain @ Caen-Normandie, Cyceron, Caen, France; German Center for Neurodegenerative Diseases (DZNE) (M.E.), Munich, Germany; Ghent Institute for Functional and Metabolic Imaging (GIfMI) (H.M.), Ghent University, Belgium; Barcelonaβeta Brain Research Center (BBRC) (J.D.G.), Pasqual Maragall Foundation; CIBER Bioingeniería (J.D.G.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; IMIM (Hospital del Mar Medical Research Institute) (J.D.G.); Universitat Pompeu Fabra (J.D.G.), Barcelona, Spain; UK Dementia Research Institute Centre at the University of Edinburgh (J.M.W.); and Institutes of Neurology and Healthcare Engineering (F.B.), University College London, United Kingdom
| | - Federico Verde
- From the Department of Radiology and Nuclear Medicine (L.L., S.I., L.E.C., M.T., A.M.W., F.B.), Amsterdam University Medical Centre, Vrije Universiteit; Amsterdam Neuroscience (L.L., S.I., L.E.C., A.M.W., H.M.), Brain Imaging, Amsterdam, The Netherlands; Department of Neurology and Laboratory of Neuroscience (A.M., F.V., N.T., V.S.), IRCCS Istituto Auxologico Italiano, Milan, Italy; Department of Radiology (S.I.), Copenhagen University Hospital Rigshospitalet; Cerebriu A/S (S.I.), Copenhagen, Denmark; Clinical Memory Research Unit (L.E.C.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Department of Advanced Biomedical Sciences (M.T.), University "Federico II," Naples, Italy; Department of Psychiatry and Neurochemistry (K.B., C.H.S.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburgn; Clinical Neurochemistry Laboratory (K.B.), Sahlgrenska University Hospital, Mölndal, Sweden; Neuroradiology Department (C.D.P.), University Hospital of Coventry and Warwickshire (UHCW), Coventry; GE HealthCare (C.F.), Amersham; Dementia Research Centre (N.C.F.), UCL Queen Square Institute of Neurology; UK Dementia Research Institute at University College London (N.C.F.), United Kingdom; Laboratory Alzheimer's Neuroimaging and Epidemiology (G.B.F.), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; University Hospitals and University of Geneva (G.B.F.); CIMC - Centre d'Imagerie Médicale de Cornavin (S.H.), Place de Cornavin 18, Genève, Switzerland; Department of Surgical Sciences (S.H.), Radiology, Uppsala University, Sweden; Department of Radiology (S.H.), Beijing Tiantan Hospital, Capital Medical University, P. R. China; Centro de Investigación y Terapias Avanzadas (P.M.-L.), Neurología, CITA-Alzheimer Foundation, San Sebastián, Spain; Centre for Clinical Brain Sciences (D.M., A.W., J.M.W.), The University of Edinburgh; Department of Psychiatry (J.O.B.), School of Clinical Medicine, CB2 0SP, University of Cambridge, United Kingdom; Department of Nuclear Medicine (P.P.), Toulouse University Hospital; ToNIC (P.P.), Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, France; Edinburgh Dementia Prevention (C.R.), Centre for Clinical Brain Sciences, Outpatient Department 2, Western General Hospital, University of Edinburgh Brain Health Scotland (C.R.), Edinburgh, United Kingdom; Alzheimer Center Amsterdam (P.S., B.M.T., P.J.V.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.S., B.M.T., P.J.V.), Neurodegeneration, Amsterdam, The Netherlands; Takeda Pharmaceuticals Ltd. (A.J.S.), Cambridge, MA; Department of Medical Physics and Biomedical Engineering (C.H.S.), Centre for Medical Image Computing (CMIC), University College London (UCL); MRC Unit for Lifelong Health & Ageing at UCL (C.H.S.), University College London; School of Biomedical Engineering and Imaging Sciences (C.H.S.), King's College London, United Kingdom; Department of Pathophysiology and Transplantation (F.V., N.T., V.S.), "Dino Ferrari" Center, Università degli Studi di Milano, Milan, Italy; Alzheimer Center Limburg (P.J.V.), Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, 6229 GS, Maastricht University, The Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Department of Medicine (A.W.), Imperial College London; IXICO (R.W.), EC1A 9PN, London, United Kingdom; Université de Normandie (G.C.), Unicaen, Inserm, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", institut Blood-and-Brain @ Caen-Normandie, Cyceron, Caen, France; German Center for Neurodegenerative Diseases (DZNE) (M.E.), Munich, Germany; Ghent Institute for Functional and Metabolic Imaging (GIfMI) (H.M.), Ghent University, Belgium; Barcelonaβeta Brain Research Center (BBRC) (J.D.G.), Pasqual Maragall Foundation; CIBER Bioingeniería (J.D.G.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; IMIM (Hospital del Mar Medical Research Institute) (J.D.G.); Universitat Pompeu Fabra (J.D.G.), Barcelona, Spain; UK Dementia Research Institute Centre at the University of Edinburgh (J.M.W.); and Institutes of Neurology and Healthcare Engineering (F.B.), University College London, United Kingdom
| | - Nicola Ticozzi
- From the Department of Radiology and Nuclear Medicine (L.L., S.I., L.E.C., M.T., A.M.W., F.B.), Amsterdam University Medical Centre, Vrije Universiteit; Amsterdam Neuroscience (L.L., S.I., L.E.C., A.M.W., H.M.), Brain Imaging, Amsterdam, The Netherlands; Department of Neurology and Laboratory of Neuroscience (A.M., F.V., N.T., V.S.), IRCCS Istituto Auxologico Italiano, Milan, Italy; Department of Radiology (S.I.), Copenhagen University Hospital Rigshospitalet; Cerebriu A/S (S.I.), Copenhagen, Denmark; Clinical Memory Research Unit (L.E.C.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Department of Advanced Biomedical Sciences (M.T.), University "Federico II," Naples, Italy; Department of Psychiatry and Neurochemistry (K.B., C.H.S.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburgn; Clinical Neurochemistry Laboratory (K.B.), Sahlgrenska University Hospital, Mölndal, Sweden; Neuroradiology Department (C.D.P.), University Hospital of Coventry and Warwickshire (UHCW), Coventry; GE HealthCare (C.F.), Amersham; Dementia Research Centre (N.C.F.), UCL Queen Square Institute of Neurology; UK Dementia Research Institute at University College London (N.C.F.), United Kingdom; Laboratory Alzheimer's Neuroimaging and Epidemiology (G.B.F.), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; University Hospitals and University of Geneva (G.B.F.); CIMC - Centre d'Imagerie Médicale de Cornavin (S.H.), Place de Cornavin 18, Genève, Switzerland; Department of Surgical Sciences (S.H.), Radiology, Uppsala University, Sweden; Department of Radiology (S.H.), Beijing Tiantan Hospital, Capital Medical University, P. R. China; Centro de Investigación y Terapias Avanzadas (P.M.-L.), Neurología, CITA-Alzheimer Foundation, San Sebastián, Spain; Centre for Clinical Brain Sciences (D.M., A.W., J.M.W.), The University of Edinburgh; Department of Psychiatry (J.O.B.), School of Clinical Medicine, CB2 0SP, University of Cambridge, United Kingdom; Department of Nuclear Medicine (P.P.), Toulouse University Hospital; ToNIC (P.P.), Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, France; Edinburgh Dementia Prevention (C.R.), Centre for Clinical Brain Sciences, Outpatient Department 2, Western General Hospital, University of Edinburgh Brain Health Scotland (C.R.), Edinburgh, United Kingdom; Alzheimer Center Amsterdam (P.S., B.M.T., P.J.V.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.S., B.M.T., P.J.V.), Neurodegeneration, Amsterdam, The Netherlands; Takeda Pharmaceuticals Ltd. (A.J.S.), Cambridge, MA; Department of Medical Physics and Biomedical Engineering (C.H.S.), Centre for Medical Image Computing (CMIC), University College London (UCL); MRC Unit for Lifelong Health & Ageing at UCL (C.H.S.), University College London; School of Biomedical Engineering and Imaging Sciences (C.H.S.), King's College London, United Kingdom; Department of Pathophysiology and Transplantation (F.V., N.T., V.S.), "Dino Ferrari" Center, Università degli Studi di Milano, Milan, Italy; Alzheimer Center Limburg (P.J.V.), Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, 6229 GS, Maastricht University, The Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Department of Medicine (A.W.), Imperial College London; IXICO (R.W.), EC1A 9PN, London, United Kingdom; Université de Normandie (G.C.), Unicaen, Inserm, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", institut Blood-and-Brain @ Caen-Normandie, Cyceron, Caen, France; German Center for Neurodegenerative Diseases (DZNE) (M.E.), Munich, Germany; Ghent Institute for Functional and Metabolic Imaging (GIfMI) (H.M.), Ghent University, Belgium; Barcelonaβeta Brain Research Center (BBRC) (J.D.G.), Pasqual Maragall Foundation; CIBER Bioingeniería (J.D.G.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; IMIM (Hospital del Mar Medical Research Institute) (J.D.G.); Universitat Pompeu Fabra (J.D.G.), Barcelona, Spain; UK Dementia Research Institute Centre at the University of Edinburgh (J.M.W.); and Institutes of Neurology and Healthcare Engineering (F.B.), University College London, United Kingdom
| | - Vincenzo Silani
- From the Department of Radiology and Nuclear Medicine (L.L., S.I., L.E.C., M.T., A.M.W., F.B.), Amsterdam University Medical Centre, Vrije Universiteit; Amsterdam Neuroscience (L.L., S.I., L.E.C., A.M.W., H.M.), Brain Imaging, Amsterdam, The Netherlands; Department of Neurology and Laboratory of Neuroscience (A.M., F.V., N.T., V.S.), IRCCS Istituto Auxologico Italiano, Milan, Italy; Department of Radiology (S.I.), Copenhagen University Hospital Rigshospitalet; Cerebriu A/S (S.I.), Copenhagen, Denmark; Clinical Memory Research Unit (L.E.C.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Department of Advanced Biomedical Sciences (M.T.), University "Federico II," Naples, Italy; Department of Psychiatry and Neurochemistry (K.B., C.H.S.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburgn; Clinical Neurochemistry Laboratory (K.B.), Sahlgrenska University Hospital, Mölndal, Sweden; Neuroradiology Department (C.D.P.), University Hospital of Coventry and Warwickshire (UHCW), Coventry; GE HealthCare (C.F.), Amersham; Dementia Research Centre (N.C.F.), UCL Queen Square Institute of Neurology; UK Dementia Research Institute at University College London (N.C.F.), United Kingdom; Laboratory Alzheimer's Neuroimaging and Epidemiology (G.B.F.), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; University Hospitals and University of Geneva (G.B.F.); CIMC - Centre d'Imagerie Médicale de Cornavin (S.H.), Place de Cornavin 18, Genève, Switzerland; Department of Surgical Sciences (S.H.), Radiology, Uppsala University, Sweden; Department of Radiology (S.H.), Beijing Tiantan Hospital, Capital Medical University, P. R. China; Centro de Investigación y Terapias Avanzadas (P.M.-L.), Neurología, CITA-Alzheimer Foundation, San Sebastián, Spain; Centre for Clinical Brain Sciences (D.M., A.W., J.M.W.), The University of Edinburgh; Department of Psychiatry (J.O.B.), School of Clinical Medicine, CB2 0SP, University of Cambridge, United Kingdom; Department of Nuclear Medicine (P.P.), Toulouse University Hospital; ToNIC (P.P.), Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, France; Edinburgh Dementia Prevention (C.R.), Centre for Clinical Brain Sciences, Outpatient Department 2, Western General Hospital, University of Edinburgh Brain Health Scotland (C.R.), Edinburgh, United Kingdom; Alzheimer Center Amsterdam (P.S., B.M.T., P.J.V.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.S., B.M.T., P.J.V.), Neurodegeneration, Amsterdam, The Netherlands; Takeda Pharmaceuticals Ltd. (A.J.S.), Cambridge, MA; Department of Medical Physics and Biomedical Engineering (C.H.S.), Centre for Medical Image Computing (CMIC), University College London (UCL); MRC Unit for Lifelong Health & Ageing at UCL (C.H.S.), University College London; School of Biomedical Engineering and Imaging Sciences (C.H.S.), King's College London, United Kingdom; Department of Pathophysiology and Transplantation (F.V., N.T., V.S.), "Dino Ferrari" Center, Università degli Studi di Milano, Milan, Italy; Alzheimer Center Limburg (P.J.V.), Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, 6229 GS, Maastricht University, The Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Department of Medicine (A.W.), Imperial College London; IXICO (R.W.), EC1A 9PN, London, United Kingdom; Université de Normandie (G.C.), Unicaen, Inserm, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", institut Blood-and-Brain @ Caen-Normandie, Cyceron, Caen, France; German Center for Neurodegenerative Diseases (DZNE) (M.E.), Munich, Germany; Ghent Institute for Functional and Metabolic Imaging (GIfMI) (H.M.), Ghent University, Belgium; Barcelonaβeta Brain Research Center (BBRC) (J.D.G.), Pasqual Maragall Foundation; CIBER Bioingeniería (J.D.G.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; IMIM (Hospital del Mar Medical Research Institute) (J.D.G.); Universitat Pompeu Fabra (J.D.G.), Barcelona, Spain; UK Dementia Research Institute Centre at the University of Edinburgh (J.M.W.); and Institutes of Neurology and Healthcare Engineering (F.B.), University College London, United Kingdom
| | - Pieter Jelle Visser
- From the Department of Radiology and Nuclear Medicine (L.L., S.I., L.E.C., M.T., A.M.W., F.B.), Amsterdam University Medical Centre, Vrije Universiteit; Amsterdam Neuroscience (L.L., S.I., L.E.C., A.M.W., H.M.), Brain Imaging, Amsterdam, The Netherlands; Department of Neurology and Laboratory of Neuroscience (A.M., F.V., N.T., V.S.), IRCCS Istituto Auxologico Italiano, Milan, Italy; Department of Radiology (S.I.), Copenhagen University Hospital Rigshospitalet; Cerebriu A/S (S.I.), Copenhagen, Denmark; Clinical Memory Research Unit (L.E.C.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Department of Advanced Biomedical Sciences (M.T.), University "Federico II," Naples, Italy; Department of Psychiatry and Neurochemistry (K.B., C.H.S.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburgn; Clinical Neurochemistry Laboratory (K.B.), Sahlgrenska University Hospital, Mölndal, Sweden; Neuroradiology Department (C.D.P.), University Hospital of Coventry and Warwickshire (UHCW), Coventry; GE HealthCare (C.F.), Amersham; Dementia Research Centre (N.C.F.), UCL Queen Square Institute of Neurology; UK Dementia Research Institute at University College London (N.C.F.), United Kingdom; Laboratory Alzheimer's Neuroimaging and Epidemiology (G.B.F.), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; University Hospitals and University of Geneva (G.B.F.); CIMC - Centre d'Imagerie Médicale de Cornavin (S.H.), Place de Cornavin 18, Genève, Switzerland; Department of Surgical Sciences (S.H.), Radiology, Uppsala University, Sweden; Department of Radiology (S.H.), Beijing Tiantan Hospital, Capital Medical University, P. R. China; Centro de Investigación y Terapias Avanzadas (P.M.-L.), Neurología, CITA-Alzheimer Foundation, San Sebastián, Spain; Centre for Clinical Brain Sciences (D.M., A.W., J.M.W.), The University of Edinburgh; Department of Psychiatry (J.O.B.), School of Clinical Medicine, CB2 0SP, University of Cambridge, United Kingdom; Department of Nuclear Medicine (P.P.), Toulouse University Hospital; ToNIC (P.P.), Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, France; Edinburgh Dementia Prevention (C.R.), Centre for Clinical Brain Sciences, Outpatient Department 2, Western General Hospital, University of Edinburgh Brain Health Scotland (C.R.), Edinburgh, United Kingdom; Alzheimer Center Amsterdam (P.S., B.M.T., P.J.V.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.S., B.M.T., P.J.V.), Neurodegeneration, Amsterdam, The Netherlands; Takeda Pharmaceuticals Ltd. (A.J.S.), Cambridge, MA; Department of Medical Physics and Biomedical Engineering (C.H.S.), Centre for Medical Image Computing (CMIC), University College London (UCL); MRC Unit for Lifelong Health & Ageing at UCL (C.H.S.), University College London; School of Biomedical Engineering and Imaging Sciences (C.H.S.), King's College London, United Kingdom; Department of Pathophysiology and Transplantation (F.V., N.T., V.S.), "Dino Ferrari" Center, Università degli Studi di Milano, Milan, Italy; Alzheimer Center Limburg (P.J.V.), Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, 6229 GS, Maastricht University, The Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Department of Medicine (A.W.), Imperial College London; IXICO (R.W.), EC1A 9PN, London, United Kingdom; Université de Normandie (G.C.), Unicaen, Inserm, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", institut Blood-and-Brain @ Caen-Normandie, Cyceron, Caen, France; German Center for Neurodegenerative Diseases (DZNE) (M.E.), Munich, Germany; Ghent Institute for Functional and Metabolic Imaging (GIfMI) (H.M.), Ghent University, Belgium; Barcelonaβeta Brain Research Center (BBRC) (J.D.G.), Pasqual Maragall Foundation; CIBER Bioingeniería (J.D.G.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; IMIM (Hospital del Mar Medical Research Institute) (J.D.G.); Universitat Pompeu Fabra (J.D.G.), Barcelona, Spain; UK Dementia Research Institute Centre at the University of Edinburgh (J.M.W.); and Institutes of Neurology and Healthcare Engineering (F.B.), University College London, United Kingdom
| | - Adam Waldman
- From the Department of Radiology and Nuclear Medicine (L.L., S.I., L.E.C., M.T., A.M.W., F.B.), Amsterdam University Medical Centre, Vrije Universiteit; Amsterdam Neuroscience (L.L., S.I., L.E.C., A.M.W., H.M.), Brain Imaging, Amsterdam, The Netherlands; Department of Neurology and Laboratory of Neuroscience (A.M., F.V., N.T., V.S.), IRCCS Istituto Auxologico Italiano, Milan, Italy; Department of Radiology (S.I.), Copenhagen University Hospital Rigshospitalet; Cerebriu A/S (S.I.), Copenhagen, Denmark; Clinical Memory Research Unit (L.E.C.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Department of Advanced Biomedical Sciences (M.T.), University "Federico II," Naples, Italy; Department of Psychiatry and Neurochemistry (K.B., C.H.S.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburgn; Clinical Neurochemistry Laboratory (K.B.), Sahlgrenska University Hospital, Mölndal, Sweden; Neuroradiology Department (C.D.P.), University Hospital of Coventry and Warwickshire (UHCW), Coventry; GE HealthCare (C.F.), Amersham; Dementia Research Centre (N.C.F.), UCL Queen Square Institute of Neurology; UK Dementia Research Institute at University College London (N.C.F.), United Kingdom; Laboratory Alzheimer's Neuroimaging and Epidemiology (G.B.F.), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; University Hospitals and University of Geneva (G.B.F.); CIMC - Centre d'Imagerie Médicale de Cornavin (S.H.), Place de Cornavin 18, Genève, Switzerland; Department of Surgical Sciences (S.H.), Radiology, Uppsala University, Sweden; Department of Radiology (S.H.), Beijing Tiantan Hospital, Capital Medical University, P. R. China; Centro de Investigación y Terapias Avanzadas (P.M.-L.), Neurología, CITA-Alzheimer Foundation, San Sebastián, Spain; Centre for Clinical Brain Sciences (D.M., A.W., J.M.W.), The University of Edinburgh; Department of Psychiatry (J.O.B.), School of Clinical Medicine, CB2 0SP, University of Cambridge, United Kingdom; Department of Nuclear Medicine (P.P.), Toulouse University Hospital; ToNIC (P.P.), Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, France; Edinburgh Dementia Prevention (C.R.), Centre for Clinical Brain Sciences, Outpatient Department 2, Western General Hospital, University of Edinburgh Brain Health Scotland (C.R.), Edinburgh, United Kingdom; Alzheimer Center Amsterdam (P.S., B.M.T., P.J.V.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.S., B.M.T., P.J.V.), Neurodegeneration, Amsterdam, The Netherlands; Takeda Pharmaceuticals Ltd. (A.J.S.), Cambridge, MA; Department of Medical Physics and Biomedical Engineering (C.H.S.), Centre for Medical Image Computing (CMIC), University College London (UCL); MRC Unit for Lifelong Health & Ageing at UCL (C.H.S.), University College London; School of Biomedical Engineering and Imaging Sciences (C.H.S.), King's College London, United Kingdom; Department of Pathophysiology and Transplantation (F.V., N.T., V.S.), "Dino Ferrari" Center, Università degli Studi di Milano, Milan, Italy; Alzheimer Center Limburg (P.J.V.), Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, 6229 GS, Maastricht University, The Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Department of Medicine (A.W.), Imperial College London; IXICO (R.W.), EC1A 9PN, London, United Kingdom; Université de Normandie (G.C.), Unicaen, Inserm, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", institut Blood-and-Brain @ Caen-Normandie, Cyceron, Caen, France; German Center for Neurodegenerative Diseases (DZNE) (M.E.), Munich, Germany; Ghent Institute for Functional and Metabolic Imaging (GIfMI) (H.M.), Ghent University, Belgium; Barcelonaβeta Brain Research Center (BBRC) (J.D.G.), Pasqual Maragall Foundation; CIBER Bioingeniería (J.D.G.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; IMIM (Hospital del Mar Medical Research Institute) (J.D.G.); Universitat Pompeu Fabra (J.D.G.), Barcelona, Spain; UK Dementia Research Institute Centre at the University of Edinburgh (J.M.W.); and Institutes of Neurology and Healthcare Engineering (F.B.), University College London, United Kingdom
| | - Robin Wolz
- From the Department of Radiology and Nuclear Medicine (L.L., S.I., L.E.C., M.T., A.M.W., F.B.), Amsterdam University Medical Centre, Vrije Universiteit; Amsterdam Neuroscience (L.L., S.I., L.E.C., A.M.W., H.M.), Brain Imaging, Amsterdam, The Netherlands; Department of Neurology and Laboratory of Neuroscience (A.M., F.V., N.T., V.S.), IRCCS Istituto Auxologico Italiano, Milan, Italy; Department of Radiology (S.I.), Copenhagen University Hospital Rigshospitalet; Cerebriu A/S (S.I.), Copenhagen, Denmark; Clinical Memory Research Unit (L.E.C.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Department of Advanced Biomedical Sciences (M.T.), University "Federico II," Naples, Italy; Department of Psychiatry and Neurochemistry (K.B., C.H.S.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburgn; Clinical Neurochemistry Laboratory (K.B.), Sahlgrenska University Hospital, Mölndal, Sweden; Neuroradiology Department (C.D.P.), University Hospital of Coventry and Warwickshire (UHCW), Coventry; GE HealthCare (C.F.), Amersham; Dementia Research Centre (N.C.F.), UCL Queen Square Institute of Neurology; UK Dementia Research Institute at University College London (N.C.F.), United Kingdom; Laboratory Alzheimer's Neuroimaging and Epidemiology (G.B.F.), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; University Hospitals and University of Geneva (G.B.F.); CIMC - Centre d'Imagerie Médicale de Cornavin (S.H.), Place de Cornavin 18, Genève, Switzerland; Department of Surgical Sciences (S.H.), Radiology, Uppsala University, Sweden; Department of Radiology (S.H.), Beijing Tiantan Hospital, Capital Medical University, P. R. China; Centro de Investigación y Terapias Avanzadas (P.M.-L.), Neurología, CITA-Alzheimer Foundation, San Sebastián, Spain; Centre for Clinical Brain Sciences (D.M., A.W., J.M.W.), The University of Edinburgh; Department of Psychiatry (J.O.B.), School of Clinical Medicine, CB2 0SP, University of Cambridge, United Kingdom; Department of Nuclear Medicine (P.P.), Toulouse University Hospital; ToNIC (P.P.), Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, France; Edinburgh Dementia Prevention (C.R.), Centre for Clinical Brain Sciences, Outpatient Department 2, Western General Hospital, University of Edinburgh Brain Health Scotland (C.R.), Edinburgh, United Kingdom; Alzheimer Center Amsterdam (P.S., B.M.T., P.J.V.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.S., B.M.T., P.J.V.), Neurodegeneration, Amsterdam, The Netherlands; Takeda Pharmaceuticals Ltd. (A.J.S.), Cambridge, MA; Department of Medical Physics and Biomedical Engineering (C.H.S.), Centre for Medical Image Computing (CMIC), University College London (UCL); MRC Unit for Lifelong Health & Ageing at UCL (C.H.S.), University College London; School of Biomedical Engineering and Imaging Sciences (C.H.S.), King's College London, United Kingdom; Department of Pathophysiology and Transplantation (F.V., N.T., V.S.), "Dino Ferrari" Center, Università degli Studi di Milano, Milan, Italy; Alzheimer Center Limburg (P.J.V.), Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, 6229 GS, Maastricht University, The Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Department of Medicine (A.W.), Imperial College London; IXICO (R.W.), EC1A 9PN, London, United Kingdom; Université de Normandie (G.C.), Unicaen, Inserm, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", institut Blood-and-Brain @ Caen-Normandie, Cyceron, Caen, France; German Center for Neurodegenerative Diseases (DZNE) (M.E.), Munich, Germany; Ghent Institute for Functional and Metabolic Imaging (GIfMI) (H.M.), Ghent University, Belgium; Barcelonaβeta Brain Research Center (BBRC) (J.D.G.), Pasqual Maragall Foundation; CIBER Bioingeniería (J.D.G.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; IMIM (Hospital del Mar Medical Research Institute) (J.D.G.); Universitat Pompeu Fabra (J.D.G.), Barcelona, Spain; UK Dementia Research Institute Centre at the University of Edinburgh (J.M.W.); and Institutes of Neurology and Healthcare Engineering (F.B.), University College London, United Kingdom
| | - Gael Chételat
- From the Department of Radiology and Nuclear Medicine (L.L., S.I., L.E.C., M.T., A.M.W., F.B.), Amsterdam University Medical Centre, Vrije Universiteit; Amsterdam Neuroscience (L.L., S.I., L.E.C., A.M.W., H.M.), Brain Imaging, Amsterdam, The Netherlands; Department of Neurology and Laboratory of Neuroscience (A.M., F.V., N.T., V.S.), IRCCS Istituto Auxologico Italiano, Milan, Italy; Department of Radiology (S.I.), Copenhagen University Hospital Rigshospitalet; Cerebriu A/S (S.I.), Copenhagen, Denmark; Clinical Memory Research Unit (L.E.C.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Department of Advanced Biomedical Sciences (M.T.), University "Federico II," Naples, Italy; Department of Psychiatry and Neurochemistry (K.B., C.H.S.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburgn; Clinical Neurochemistry Laboratory (K.B.), Sahlgrenska University Hospital, Mölndal, Sweden; Neuroradiology Department (C.D.P.), University Hospital of Coventry and Warwickshire (UHCW), Coventry; GE HealthCare (C.F.), Amersham; Dementia Research Centre (N.C.F.), UCL Queen Square Institute of Neurology; UK Dementia Research Institute at University College London (N.C.F.), United Kingdom; Laboratory Alzheimer's Neuroimaging and Epidemiology (G.B.F.), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; University Hospitals and University of Geneva (G.B.F.); CIMC - Centre d'Imagerie Médicale de Cornavin (S.H.), Place de Cornavin 18, Genève, Switzerland; Department of Surgical Sciences (S.H.), Radiology, Uppsala University, Sweden; Department of Radiology (S.H.), Beijing Tiantan Hospital, Capital Medical University, P. R. China; Centro de Investigación y Terapias Avanzadas (P.M.-L.), Neurología, CITA-Alzheimer Foundation, San Sebastián, Spain; Centre for Clinical Brain Sciences (D.M., A.W., J.M.W.), The University of Edinburgh; Department of Psychiatry (J.O.B.), School of Clinical Medicine, CB2 0SP, University of Cambridge, United Kingdom; Department of Nuclear Medicine (P.P.), Toulouse University Hospital; ToNIC (P.P.), Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, France; Edinburgh Dementia Prevention (C.R.), Centre for Clinical Brain Sciences, Outpatient Department 2, Western General Hospital, University of Edinburgh Brain Health Scotland (C.R.), Edinburgh, United Kingdom; Alzheimer Center Amsterdam (P.S., B.M.T., P.J.V.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.S., B.M.T., P.J.V.), Neurodegeneration, Amsterdam, The Netherlands; Takeda Pharmaceuticals Ltd. (A.J.S.), Cambridge, MA; Department of Medical Physics and Biomedical Engineering (C.H.S.), Centre for Medical Image Computing (CMIC), University College London (UCL); MRC Unit for Lifelong Health & Ageing at UCL (C.H.S.), University College London; School of Biomedical Engineering and Imaging Sciences (C.H.S.), King's College London, United Kingdom; Department of Pathophysiology and Transplantation (F.V., N.T., V.S.), "Dino Ferrari" Center, Università degli Studi di Milano, Milan, Italy; Alzheimer Center Limburg (P.J.V.), Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, 6229 GS, Maastricht University, The Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Department of Medicine (A.W.), Imperial College London; IXICO (R.W.), EC1A 9PN, London, United Kingdom; Université de Normandie (G.C.), Unicaen, Inserm, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", institut Blood-and-Brain @ Caen-Normandie, Cyceron, Caen, France; German Center for Neurodegenerative Diseases (DZNE) (M.E.), Munich, Germany; Ghent Institute for Functional and Metabolic Imaging (GIfMI) (H.M.), Ghent University, Belgium; Barcelonaβeta Brain Research Center (BBRC) (J.D.G.), Pasqual Maragall Foundation; CIBER Bioingeniería (J.D.G.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; IMIM (Hospital del Mar Medical Research Institute) (J.D.G.); Universitat Pompeu Fabra (J.D.G.), Barcelona, Spain; UK Dementia Research Institute Centre at the University of Edinburgh (J.M.W.); and Institutes of Neurology and Healthcare Engineering (F.B.), University College London, United Kingdom
| | - Michael Ewers
- From the Department of Radiology and Nuclear Medicine (L.L., S.I., L.E.C., M.T., A.M.W., F.B.), Amsterdam University Medical Centre, Vrije Universiteit; Amsterdam Neuroscience (L.L., S.I., L.E.C., A.M.W., H.M.), Brain Imaging, Amsterdam, The Netherlands; Department of Neurology and Laboratory of Neuroscience (A.M., F.V., N.T., V.S.), IRCCS Istituto Auxologico Italiano, Milan, Italy; Department of Radiology (S.I.), Copenhagen University Hospital Rigshospitalet; Cerebriu A/S (S.I.), Copenhagen, Denmark; Clinical Memory Research Unit (L.E.C.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Department of Advanced Biomedical Sciences (M.T.), University "Federico II," Naples, Italy; Department of Psychiatry and Neurochemistry (K.B., C.H.S.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburgn; Clinical Neurochemistry Laboratory (K.B.), Sahlgrenska University Hospital, Mölndal, Sweden; Neuroradiology Department (C.D.P.), University Hospital of Coventry and Warwickshire (UHCW), Coventry; GE HealthCare (C.F.), Amersham; Dementia Research Centre (N.C.F.), UCL Queen Square Institute of Neurology; UK Dementia Research Institute at University College London (N.C.F.), United Kingdom; Laboratory Alzheimer's Neuroimaging and Epidemiology (G.B.F.), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; University Hospitals and University of Geneva (G.B.F.); CIMC - Centre d'Imagerie Médicale de Cornavin (S.H.), Place de Cornavin 18, Genève, Switzerland; Department of Surgical Sciences (S.H.), Radiology, Uppsala University, Sweden; Department of Radiology (S.H.), Beijing Tiantan Hospital, Capital Medical University, P. R. China; Centro de Investigación y Terapias Avanzadas (P.M.-L.), Neurología, CITA-Alzheimer Foundation, San Sebastián, Spain; Centre for Clinical Brain Sciences (D.M., A.W., J.M.W.), The University of Edinburgh; Department of Psychiatry (J.O.B.), School of Clinical Medicine, CB2 0SP, University of Cambridge, United Kingdom; Department of Nuclear Medicine (P.P.), Toulouse University Hospital; ToNIC (P.P.), Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, France; Edinburgh Dementia Prevention (C.R.), Centre for Clinical Brain Sciences, Outpatient Department 2, Western General Hospital, University of Edinburgh Brain Health Scotland (C.R.), Edinburgh, United Kingdom; Alzheimer Center Amsterdam (P.S., B.M.T., P.J.V.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.S., B.M.T., P.J.V.), Neurodegeneration, Amsterdam, The Netherlands; Takeda Pharmaceuticals Ltd. (A.J.S.), Cambridge, MA; Department of Medical Physics and Biomedical Engineering (C.H.S.), Centre for Medical Image Computing (CMIC), University College London (UCL); MRC Unit for Lifelong Health & Ageing at UCL (C.H.S.), University College London; School of Biomedical Engineering and Imaging Sciences (C.H.S.), King's College London, United Kingdom; Department of Pathophysiology and Transplantation (F.V., N.T., V.S.), "Dino Ferrari" Center, Università degli Studi di Milano, Milan, Italy; Alzheimer Center Limburg (P.J.V.), Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, 6229 GS, Maastricht University, The Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Department of Medicine (A.W.), Imperial College London; IXICO (R.W.), EC1A 9PN, London, United Kingdom; Université de Normandie (G.C.), Unicaen, Inserm, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", institut Blood-and-Brain @ Caen-Normandie, Cyceron, Caen, France; German Center for Neurodegenerative Diseases (DZNE) (M.E.), Munich, Germany; Ghent Institute for Functional and Metabolic Imaging (GIfMI) (H.M.), Ghent University, Belgium; Barcelonaβeta Brain Research Center (BBRC) (J.D.G.), Pasqual Maragall Foundation; CIBER Bioingeniería (J.D.G.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; IMIM (Hospital del Mar Medical Research Institute) (J.D.G.); Universitat Pompeu Fabra (J.D.G.), Barcelona, Spain; UK Dementia Research Institute Centre at the University of Edinburgh (J.M.W.); and Institutes of Neurology and Healthcare Engineering (F.B.), University College London, United Kingdom
| | - Alle Meije Wink
- From the Department of Radiology and Nuclear Medicine (L.L., S.I., L.E.C., M.T., A.M.W., F.B.), Amsterdam University Medical Centre, Vrije Universiteit; Amsterdam Neuroscience (L.L., S.I., L.E.C., A.M.W., H.M.), Brain Imaging, Amsterdam, The Netherlands; Department of Neurology and Laboratory of Neuroscience (A.M., F.V., N.T., V.S.), IRCCS Istituto Auxologico Italiano, Milan, Italy; Department of Radiology (S.I.), Copenhagen University Hospital Rigshospitalet; Cerebriu A/S (S.I.), Copenhagen, Denmark; Clinical Memory Research Unit (L.E.C.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Department of Advanced Biomedical Sciences (M.T.), University "Federico II," Naples, Italy; Department of Psychiatry and Neurochemistry (K.B., C.H.S.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburgn; Clinical Neurochemistry Laboratory (K.B.), Sahlgrenska University Hospital, Mölndal, Sweden; Neuroradiology Department (C.D.P.), University Hospital of Coventry and Warwickshire (UHCW), Coventry; GE HealthCare (C.F.), Amersham; Dementia Research Centre (N.C.F.), UCL Queen Square Institute of Neurology; UK Dementia Research Institute at University College London (N.C.F.), United Kingdom; Laboratory Alzheimer's Neuroimaging and Epidemiology (G.B.F.), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; University Hospitals and University of Geneva (G.B.F.); CIMC - Centre d'Imagerie Médicale de Cornavin (S.H.), Place de Cornavin 18, Genève, Switzerland; Department of Surgical Sciences (S.H.), Radiology, Uppsala University, Sweden; Department of Radiology (S.H.), Beijing Tiantan Hospital, Capital Medical University, P. R. China; Centro de Investigación y Terapias Avanzadas (P.M.-L.), Neurología, CITA-Alzheimer Foundation, San Sebastián, Spain; Centre for Clinical Brain Sciences (D.M., A.W., J.M.W.), The University of Edinburgh; Department of Psychiatry (J.O.B.), School of Clinical Medicine, CB2 0SP, University of Cambridge, United Kingdom; Department of Nuclear Medicine (P.P.), Toulouse University Hospital; ToNIC (P.P.), Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, France; Edinburgh Dementia Prevention (C.R.), Centre for Clinical Brain Sciences, Outpatient Department 2, Western General Hospital, University of Edinburgh Brain Health Scotland (C.R.), Edinburgh, United Kingdom; Alzheimer Center Amsterdam (P.S., B.M.T., P.J.V.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.S., B.M.T., P.J.V.), Neurodegeneration, Amsterdam, The Netherlands; Takeda Pharmaceuticals Ltd. (A.J.S.), Cambridge, MA; Department of Medical Physics and Biomedical Engineering (C.H.S.), Centre for Medical Image Computing (CMIC), University College London (UCL); MRC Unit for Lifelong Health & Ageing at UCL (C.H.S.), University College London; School of Biomedical Engineering and Imaging Sciences (C.H.S.), King's College London, United Kingdom; Department of Pathophysiology and Transplantation (F.V., N.T., V.S.), "Dino Ferrari" Center, Università degli Studi di Milano, Milan, Italy; Alzheimer Center Limburg (P.J.V.), Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, 6229 GS, Maastricht University, The Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Department of Medicine (A.W.), Imperial College London; IXICO (R.W.), EC1A 9PN, London, United Kingdom; Université de Normandie (G.C.), Unicaen, Inserm, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", institut Blood-and-Brain @ Caen-Normandie, Cyceron, Caen, France; German Center for Neurodegenerative Diseases (DZNE) (M.E.), Munich, Germany; Ghent Institute for Functional and Metabolic Imaging (GIfMI) (H.M.), Ghent University, Belgium; Barcelonaβeta Brain Research Center (BBRC) (J.D.G.), Pasqual Maragall Foundation; CIBER Bioingeniería (J.D.G.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; IMIM (Hospital del Mar Medical Research Institute) (J.D.G.); Universitat Pompeu Fabra (J.D.G.), Barcelona, Spain; UK Dementia Research Institute Centre at the University of Edinburgh (J.M.W.); and Institutes of Neurology and Healthcare Engineering (F.B.), University College London, United Kingdom
| | - Henk Mutsaerts
- From the Department of Radiology and Nuclear Medicine (L.L., S.I., L.E.C., M.T., A.M.W., F.B.), Amsterdam University Medical Centre, Vrije Universiteit; Amsterdam Neuroscience (L.L., S.I., L.E.C., A.M.W., H.M.), Brain Imaging, Amsterdam, The Netherlands; Department of Neurology and Laboratory of Neuroscience (A.M., F.V., N.T., V.S.), IRCCS Istituto Auxologico Italiano, Milan, Italy; Department of Radiology (S.I.), Copenhagen University Hospital Rigshospitalet; Cerebriu A/S (S.I.), Copenhagen, Denmark; Clinical Memory Research Unit (L.E.C.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Department of Advanced Biomedical Sciences (M.T.), University "Federico II," Naples, Italy; Department of Psychiatry and Neurochemistry (K.B., C.H.S.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburgn; Clinical Neurochemistry Laboratory (K.B.), Sahlgrenska University Hospital, Mölndal, Sweden; Neuroradiology Department (C.D.P.), University Hospital of Coventry and Warwickshire (UHCW), Coventry; GE HealthCare (C.F.), Amersham; Dementia Research Centre (N.C.F.), UCL Queen Square Institute of Neurology; UK Dementia Research Institute at University College London (N.C.F.), United Kingdom; Laboratory Alzheimer's Neuroimaging and Epidemiology (G.B.F.), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; University Hospitals and University of Geneva (G.B.F.); CIMC - Centre d'Imagerie Médicale de Cornavin (S.H.), Place de Cornavin 18, Genève, Switzerland; Department of Surgical Sciences (S.H.), Radiology, Uppsala University, Sweden; Department of Radiology (S.H.), Beijing Tiantan Hospital, Capital Medical University, P. R. China; Centro de Investigación y Terapias Avanzadas (P.M.-L.), Neurología, CITA-Alzheimer Foundation, San Sebastián, Spain; Centre for Clinical Brain Sciences (D.M., A.W., J.M.W.), The University of Edinburgh; Department of Psychiatry (J.O.B.), School of Clinical Medicine, CB2 0SP, University of Cambridge, United Kingdom; Department of Nuclear Medicine (P.P.), Toulouse University Hospital; ToNIC (P.P.), Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, France; Edinburgh Dementia Prevention (C.R.), Centre for Clinical Brain Sciences, Outpatient Department 2, Western General Hospital, University of Edinburgh Brain Health Scotland (C.R.), Edinburgh, United Kingdom; Alzheimer Center Amsterdam (P.S., B.M.T., P.J.V.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.S., B.M.T., P.J.V.), Neurodegeneration, Amsterdam, The Netherlands; Takeda Pharmaceuticals Ltd. (A.J.S.), Cambridge, MA; Department of Medical Physics and Biomedical Engineering (C.H.S.), Centre for Medical Image Computing (CMIC), University College London (UCL); MRC Unit for Lifelong Health & Ageing at UCL (C.H.S.), University College London; School of Biomedical Engineering and Imaging Sciences (C.H.S.), King's College London, United Kingdom; Department of Pathophysiology and Transplantation (F.V., N.T., V.S.), "Dino Ferrari" Center, Università degli Studi di Milano, Milan, Italy; Alzheimer Center Limburg (P.J.V.), Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, 6229 GS, Maastricht University, The Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Department of Medicine (A.W.), Imperial College London; IXICO (R.W.), EC1A 9PN, London, United Kingdom; Université de Normandie (G.C.), Unicaen, Inserm, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", institut Blood-and-Brain @ Caen-Normandie, Cyceron, Caen, France; German Center for Neurodegenerative Diseases (DZNE) (M.E.), Munich, Germany; Ghent Institute for Functional and Metabolic Imaging (GIfMI) (H.M.), Ghent University, Belgium; Barcelonaβeta Brain Research Center (BBRC) (J.D.G.), Pasqual Maragall Foundation; CIBER Bioingeniería (J.D.G.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; IMIM (Hospital del Mar Medical Research Institute) (J.D.G.); Universitat Pompeu Fabra (J.D.G.), Barcelona, Spain; UK Dementia Research Institute Centre at the University of Edinburgh (J.M.W.); and Institutes of Neurology and Healthcare Engineering (F.B.), University College London, United Kingdom
| | - Juan Domingo Gispert
- From the Department of Radiology and Nuclear Medicine (L.L., S.I., L.E.C., M.T., A.M.W., F.B.), Amsterdam University Medical Centre, Vrije Universiteit; Amsterdam Neuroscience (L.L., S.I., L.E.C., A.M.W., H.M.), Brain Imaging, Amsterdam, The Netherlands; Department of Neurology and Laboratory of Neuroscience (A.M., F.V., N.T., V.S.), IRCCS Istituto Auxologico Italiano, Milan, Italy; Department of Radiology (S.I.), Copenhagen University Hospital Rigshospitalet; Cerebriu A/S (S.I.), Copenhagen, Denmark; Clinical Memory Research Unit (L.E.C.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Department of Advanced Biomedical Sciences (M.T.), University "Federico II," Naples, Italy; Department of Psychiatry and Neurochemistry (K.B., C.H.S.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburgn; Clinical Neurochemistry Laboratory (K.B.), Sahlgrenska University Hospital, Mölndal, Sweden; Neuroradiology Department (C.D.P.), University Hospital of Coventry and Warwickshire (UHCW), Coventry; GE HealthCare (C.F.), Amersham; Dementia Research Centre (N.C.F.), UCL Queen Square Institute of Neurology; UK Dementia Research Institute at University College London (N.C.F.), United Kingdom; Laboratory Alzheimer's Neuroimaging and Epidemiology (G.B.F.), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; University Hospitals and University of Geneva (G.B.F.); CIMC - Centre d'Imagerie Médicale de Cornavin (S.H.), Place de Cornavin 18, Genève, Switzerland; Department of Surgical Sciences (S.H.), Radiology, Uppsala University, Sweden; Department of Radiology (S.H.), Beijing Tiantan Hospital, Capital Medical University, P. R. China; Centro de Investigación y Terapias Avanzadas (P.M.-L.), Neurología, CITA-Alzheimer Foundation, San Sebastián, Spain; Centre for Clinical Brain Sciences (D.M., A.W., J.M.W.), The University of Edinburgh; Department of Psychiatry (J.O.B.), School of Clinical Medicine, CB2 0SP, University of Cambridge, United Kingdom; Department of Nuclear Medicine (P.P.), Toulouse University Hospital; ToNIC (P.P.), Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, France; Edinburgh Dementia Prevention (C.R.), Centre for Clinical Brain Sciences, Outpatient Department 2, Western General Hospital, University of Edinburgh Brain Health Scotland (C.R.), Edinburgh, United Kingdom; Alzheimer Center Amsterdam (P.S., B.M.T., P.J.V.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.S., B.M.T., P.J.V.), Neurodegeneration, Amsterdam, The Netherlands; Takeda Pharmaceuticals Ltd. (A.J.S.), Cambridge, MA; Department of Medical Physics and Biomedical Engineering (C.H.S.), Centre for Medical Image Computing (CMIC), University College London (UCL); MRC Unit for Lifelong Health & Ageing at UCL (C.H.S.), University College London; School of Biomedical Engineering and Imaging Sciences (C.H.S.), King's College London, United Kingdom; Department of Pathophysiology and Transplantation (F.V., N.T., V.S.), "Dino Ferrari" Center, Università degli Studi di Milano, Milan, Italy; Alzheimer Center Limburg (P.J.V.), Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, 6229 GS, Maastricht University, The Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Department of Medicine (A.W.), Imperial College London; IXICO (R.W.), EC1A 9PN, London, United Kingdom; Université de Normandie (G.C.), Unicaen, Inserm, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", institut Blood-and-Brain @ Caen-Normandie, Cyceron, Caen, France; German Center for Neurodegenerative Diseases (DZNE) (M.E.), Munich, Germany; Ghent Institute for Functional and Metabolic Imaging (GIfMI) (H.M.), Ghent University, Belgium; Barcelonaβeta Brain Research Center (BBRC) (J.D.G.), Pasqual Maragall Foundation; CIBER Bioingeniería (J.D.G.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; IMIM (Hospital del Mar Medical Research Institute) (J.D.G.); Universitat Pompeu Fabra (J.D.G.), Barcelona, Spain; UK Dementia Research Institute Centre at the University of Edinburgh (J.M.W.); and Institutes of Neurology and Healthcare Engineering (F.B.), University College London, United Kingdom
| | - Joanna M Wardlaw
- From the Department of Radiology and Nuclear Medicine (L.L., S.I., L.E.C., M.T., A.M.W., F.B.), Amsterdam University Medical Centre, Vrije Universiteit; Amsterdam Neuroscience (L.L., S.I., L.E.C., A.M.W., H.M.), Brain Imaging, Amsterdam, The Netherlands; Department of Neurology and Laboratory of Neuroscience (A.M., F.V., N.T., V.S.), IRCCS Istituto Auxologico Italiano, Milan, Italy; Department of Radiology (S.I.), Copenhagen University Hospital Rigshospitalet; Cerebriu A/S (S.I.), Copenhagen, Denmark; Clinical Memory Research Unit (L.E.C.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Department of Advanced Biomedical Sciences (M.T.), University "Federico II," Naples, Italy; Department of Psychiatry and Neurochemistry (K.B., C.H.S.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburgn; Clinical Neurochemistry Laboratory (K.B.), Sahlgrenska University Hospital, Mölndal, Sweden; Neuroradiology Department (C.D.P.), University Hospital of Coventry and Warwickshire (UHCW), Coventry; GE HealthCare (C.F.), Amersham; Dementia Research Centre (N.C.F.), UCL Queen Square Institute of Neurology; UK Dementia Research Institute at University College London (N.C.F.), United Kingdom; Laboratory Alzheimer's Neuroimaging and Epidemiology (G.B.F.), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; University Hospitals and University of Geneva (G.B.F.); CIMC - Centre d'Imagerie Médicale de Cornavin (S.H.), Place de Cornavin 18, Genève, Switzerland; Department of Surgical Sciences (S.H.), Radiology, Uppsala University, Sweden; Department of Radiology (S.H.), Beijing Tiantan Hospital, Capital Medical University, P. R. China; Centro de Investigación y Terapias Avanzadas (P.M.-L.), Neurología, CITA-Alzheimer Foundation, San Sebastián, Spain; Centre for Clinical Brain Sciences (D.M., A.W., J.M.W.), The University of Edinburgh; Department of Psychiatry (J.O.B.), School of Clinical Medicine, CB2 0SP, University of Cambridge, United Kingdom; Department of Nuclear Medicine (P.P.), Toulouse University Hospital; ToNIC (P.P.), Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, France; Edinburgh Dementia Prevention (C.R.), Centre for Clinical Brain Sciences, Outpatient Department 2, Western General Hospital, University of Edinburgh Brain Health Scotland (C.R.), Edinburgh, United Kingdom; Alzheimer Center Amsterdam (P.S., B.M.T., P.J.V.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.S., B.M.T., P.J.V.), Neurodegeneration, Amsterdam, The Netherlands; Takeda Pharmaceuticals Ltd. (A.J.S.), Cambridge, MA; Department of Medical Physics and Biomedical Engineering (C.H.S.), Centre for Medical Image Computing (CMIC), University College London (UCL); MRC Unit for Lifelong Health & Ageing at UCL (C.H.S.), University College London; School of Biomedical Engineering and Imaging Sciences (C.H.S.), King's College London, United Kingdom; Department of Pathophysiology and Transplantation (F.V., N.T., V.S.), "Dino Ferrari" Center, Università degli Studi di Milano, Milan, Italy; Alzheimer Center Limburg (P.J.V.), Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, 6229 GS, Maastricht University, The Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Department of Medicine (A.W.), Imperial College London; IXICO (R.W.), EC1A 9PN, London, United Kingdom; Université de Normandie (G.C.), Unicaen, Inserm, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", institut Blood-and-Brain @ Caen-Normandie, Cyceron, Caen, France; German Center for Neurodegenerative Diseases (DZNE) (M.E.), Munich, Germany; Ghent Institute for Functional and Metabolic Imaging (GIfMI) (H.M.), Ghent University, Belgium; Barcelonaβeta Brain Research Center (BBRC) (J.D.G.), Pasqual Maragall Foundation; CIBER Bioingeniería (J.D.G.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; IMIM (Hospital del Mar Medical Research Institute) (J.D.G.); Universitat Pompeu Fabra (J.D.G.), Barcelona, Spain; UK Dementia Research Institute Centre at the University of Edinburgh (J.M.W.); and Institutes of Neurology and Healthcare Engineering (F.B.), University College London, United Kingdom
| | - Frederik Barkhof
- From the Department of Radiology and Nuclear Medicine (L.L., S.I., L.E.C., M.T., A.M.W., F.B.), Amsterdam University Medical Centre, Vrije Universiteit; Amsterdam Neuroscience (L.L., S.I., L.E.C., A.M.W., H.M.), Brain Imaging, Amsterdam, The Netherlands; Department of Neurology and Laboratory of Neuroscience (A.M., F.V., N.T., V.S.), IRCCS Istituto Auxologico Italiano, Milan, Italy; Department of Radiology (S.I.), Copenhagen University Hospital Rigshospitalet; Cerebriu A/S (S.I.), Copenhagen, Denmark; Clinical Memory Research Unit (L.E.C.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Department of Advanced Biomedical Sciences (M.T.), University "Federico II," Naples, Italy; Department of Psychiatry and Neurochemistry (K.B., C.H.S.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburgn; Clinical Neurochemistry Laboratory (K.B.), Sahlgrenska University Hospital, Mölndal, Sweden; Neuroradiology Department (C.D.P.), University Hospital of Coventry and Warwickshire (UHCW), Coventry; GE HealthCare (C.F.), Amersham; Dementia Research Centre (N.C.F.), UCL Queen Square Institute of Neurology; UK Dementia Research Institute at University College London (N.C.F.), United Kingdom; Laboratory Alzheimer's Neuroimaging and Epidemiology (G.B.F.), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; University Hospitals and University of Geneva (G.B.F.); CIMC - Centre d'Imagerie Médicale de Cornavin (S.H.), Place de Cornavin 18, Genève, Switzerland; Department of Surgical Sciences (S.H.), Radiology, Uppsala University, Sweden; Department of Radiology (S.H.), Beijing Tiantan Hospital, Capital Medical University, P. R. China; Centro de Investigación y Terapias Avanzadas (P.M.-L.), Neurología, CITA-Alzheimer Foundation, San Sebastián, Spain; Centre for Clinical Brain Sciences (D.M., A.W., J.M.W.), The University of Edinburgh; Department of Psychiatry (J.O.B.), School of Clinical Medicine, CB2 0SP, University of Cambridge, United Kingdom; Department of Nuclear Medicine (P.P.), Toulouse University Hospital; ToNIC (P.P.), Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, France; Edinburgh Dementia Prevention (C.R.), Centre for Clinical Brain Sciences, Outpatient Department 2, Western General Hospital, University of Edinburgh Brain Health Scotland (C.R.), Edinburgh, United Kingdom; Alzheimer Center Amsterdam (P.S., B.M.T., P.J.V.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.S., B.M.T., P.J.V.), Neurodegeneration, Amsterdam, The Netherlands; Takeda Pharmaceuticals Ltd. (A.J.S.), Cambridge, MA; Department of Medical Physics and Biomedical Engineering (C.H.S.), Centre for Medical Image Computing (CMIC), University College London (UCL); MRC Unit for Lifelong Health & Ageing at UCL (C.H.S.), University College London; School of Biomedical Engineering and Imaging Sciences (C.H.S.), King's College London, United Kingdom; Department of Pathophysiology and Transplantation (F.V., N.T., V.S.), "Dino Ferrari" Center, Università degli Studi di Milano, Milan, Italy; Alzheimer Center Limburg (P.J.V.), Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, 6229 GS, Maastricht University, The Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Department of Medicine (A.W.), Imperial College London; IXICO (R.W.), EC1A 9PN, London, United Kingdom; Université de Normandie (G.C.), Unicaen, Inserm, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", institut Blood-and-Brain @ Caen-Normandie, Cyceron, Caen, France; German Center for Neurodegenerative Diseases (DZNE) (M.E.), Munich, Germany; Ghent Institute for Functional and Metabolic Imaging (GIfMI) (H.M.), Ghent University, Belgium; Barcelonaβeta Brain Research Center (BBRC) (J.D.G.), Pasqual Maragall Foundation; CIBER Bioingeniería (J.D.G.), Biomateriales y Nanomedicina (CIBER-BBN), Madrid; IMIM (Hospital del Mar Medical Research Institute) (J.D.G.); Universitat Pompeu Fabra (J.D.G.), Barcelona, Spain; UK Dementia Research Institute Centre at the University of Edinburgh (J.M.W.); and Institutes of Neurology and Healthcare Engineering (F.B.), University College London, United Kingdom
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Stankeviciute L, Blackman J, Tort-Colet N, Fernández-Arcos A, Sánchez-Benavides G, Suárez-Calvet M, Iranzo Á, Molinuevo JL, Gispert JD, Coulthard E, Grau-Rivera O. Memory performance mediates subjective sleep quality associations with cerebrospinal fluid Alzheimer's disease biomarker levels and hippocampal volume among individuals with mild cognitive symptoms. J Sleep Res 2024; 33:e14108. [PMID: 38035770 DOI: 10.1111/jsr.14108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 10/25/2023] [Accepted: 11/06/2023] [Indexed: 12/02/2023]
Abstract
Sleep disturbances are prevalent in Alzheimer's disease (AD), affecting individuals during its early stages. We investigated associations between subjective sleep measures and cerebrospinal fluid (CSF) biomarkers of AD in adults with mild cognitive symptoms from the European Prevention of Alzheimer's Dementia Longitudinal Cohort Study, considering the influence of memory performance. A total of 442 participants aged >50 years with a Clinical Dementia Rating (CDR) score of 0.5 completed the Pittsburgh Sleep Quality Index questionnaire and underwent neuropsychological assessment, magnetic resonance imaging acquisition, and CSF sampling. We analysed the relationship of sleep quality with CSF AD biomarkers and cognitive performance in separated multivariate linear regression models, adjusting for covariates. Poorer cross-sectional sleep quality was associated with lower CSF levels of phosphorylated tau and total tau alongside better immediate and delayed memory performance. After adjustment for delayed memory scores, associations between CSF biomarkers and sleep quality became non-significant, and further analysis revealed that memory performance mediated this relationship. In post hoc analyses, poorer subjective sleep quality was associated with lesser hippocampal atrophy, with memory performance also mediating this association. In conclusion, worse subjective sleep quality is associated with less altered AD biomarkers in adults with mild cognitive symptoms (CDR score 0.5). These results could be explained by a systematic recall bias affecting subjective sleep assessment in individuals with incipient memory impairment. Caution should therefore be exercised when interpreting subjective sleep quality measures in memory-impaired populations, emphasising the importance of complementing subjective measures with objective assessments.
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Affiliation(s)
- Laura Stankeviciute
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
| | - Jonathan Blackman
- North Bristol NHS Trust, Bristol, UK
- Bristol Medical School, University of Bristol, Bristol, UK
| | - Núria Tort-Colet
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
| | - Ana Fernández-Arcos
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
| | - Gonzalo Sánchez-Benavides
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - Marc Suárez-Calvet
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
- Servei de Neurologia, Hospital del Mar, Barcelona, Spain
| | - Álex Iranzo
- Neurology Service, Hospital Clínic de Barcelona and Institut D'Investigacions Biomèdiques, Barcelona, Spain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Hospital Clínic de Barcelona, Barcelona, Spain
| | - José Luis Molinuevo
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
| | - Juan Domingo Gispert
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain
| | - Elizabeth Coulthard
- North Bristol NHS Trust, Bristol, UK
- Bristol Medical School, University of Bristol, Bristol, UK
| | - Oriol Grau-Rivera
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
- Servei de Neurologia, Hospital del Mar, Barcelona, Spain
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Lorenzini L, Collij LE, Tesi N, Vilor-Tejedor N, Ingala S, Blennow K, Foley C, Frisoni GB, Haller S, Holstege H, van der van der Lee S, Martinez-Lage P, Marioni RE, McCartney DL, O' Brien J, Oliveira TG, Payoux P, Reinders M, Ritchie C, Scheltens P, Schwarz AJ, Sudre CH, Waldman AD, Wolz R, Chatelat G, Ewers M, Wink AM, Mutsaerts HJMM, Gispert JD, Visser PJ, Tijms BM, Altmann A, Barkhof F. Alzheimer's disease genetic pathways impact cerebrospinal fluid biomarkers and imaging endophenotypes in non-demented individuals. Alzheimers Dement 2024. [PMID: 39073684 DOI: 10.1002/alz.14096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 03/20/2024] [Accepted: 06/03/2024] [Indexed: 07/30/2024]
Abstract
INTRODUCTION Unraveling how Alzheimer's disease (AD) genetic risk is related to neuropathological heterogeneity, and whether this occurs through specific biological pathways, is a key step toward precision medicine. METHODS We computed pathway-specific genetic risk scores (GRSs) in non-demented individuals and investigated how AD risk variants predict cerebrospinal fluid (CSF) and imaging biomarkers reflecting AD pathology, cardiovascular, white matter integrity, and brain connectivity. RESULTS CSF amyloidbeta and phosphorylated tau were related to most GRSs. Inflammatory pathways were associated with cerebrovascular disease, whereas quantitative measures of white matter lesion and microstructure integrity were predicted by clearance and migration pathways. Functional connectivity alterations were related to genetic variants involved in signal transduction and synaptic communication. DISCUSSION This study reveals distinct genetic risk profiles in association with specific pathophysiological aspects in predementia stages of AD, unraveling the biological substrates of the heterogeneity of AD-associated endophenotypes and promoting a step forward in disease understanding and development of personalized therapies. HIGHLIGHTS Polygenic risk for Alzheimer's disease encompasses six biological pathways that can be quantified with pathway-specific genetic risk scores, and differentially relate to cerebrospinal fluid and imaging biomarkers. Inflammatory pathways are mostly related to cerebrovascular burden. White matter health is associated with pathways of clearance and membrane integrity, whereas functional connectivity measures are related to signal transduction and synaptic communication pathways.
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Affiliation(s)
- Luigi Lorenzini
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centre, Vrije Universiteit, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, The Netherlands
| | - Lyduine E Collij
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centre, Vrije Universiteit, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, The Netherlands
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
| | - Niccoló Tesi
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, The Netherlands
- Genomics of Neurodegenerative Diseases and Aging, Human Genetics, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Delft Bioinformatics Lab, Delft University of Technology, Delft, The Netherlands
| | - Natàlia Vilor-Tejedor
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- Centre for Genomic Regulation (CRG), The Barcelona Institute for Science and Technology, Barcelona, Spain
- Department of Clinical Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Silvia Ingala
- Department of Radiology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
- Cerebriu A/S, Copenhagen, Denmark
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | | | - Giovanni B Frisoni
- Laboratory Alzheimer's Neuroimaging & Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
- University Hospitals and University of Geneva, Geneva, Switzerland
| | - Sven Haller
- CIMC - Centre d'Imagerie Médicale de Cornavin, Geneva, Switzerland
- Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, P. R. China
| | - Henne Holstege
- Genomics of Neurodegenerative Diseases and Aging, Human Genetics, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Sven van der van der Lee
- Genomics of Neurodegenerative Diseases and Aging, Human Genetics, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Pablo Martinez-Lage
- Centro de Investigación y Terapias Avanzadas, Neurología, CITA-Alzheimer Foundation, San Sebastián, Spain
| | - Riccardo E Marioni
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Daniel L McCartney
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - John O' Brien
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Tiago Gil Oliveira
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal
- ICVS/3B's - PT Government Associate Laboratory, Braga/Guimarães, Portugal
| | - Pierre Payoux
- Department of Nuclear Medicine, Toulouse University Hospital, Toulouse, France
- ToNIC, Toulouse NeuroImaging Center, University of Toulouse, Inserm, Toulouse, France
| | - Marcel Reinders
- Delft Bioinformatics Lab, Delft University of Technology, Delft, The Netherlands
| | - Craig Ritchie
- Edinburgh Dementia Prevention, Centre for Clinical Brain Sciences, Outpatient Department 2, Western General Hospital, University of Edinburgh, Edinburgh, UK
- Brain Health Scotland, Edinburgh, UK
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Adam J Schwarz
- Takeda Pharmaceuticals Ltd., Cambridge, Massachusetts, USA
| | - Carole H Sudre
- Department of Medical Physics and Biomedical Engineering, Centre for Medical Image Computing (CMIC), University College London (UCL), London, UK
- MRC Unit for Lifelong Health & Ageing at UCL, University College London, London, UK
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Adam D Waldman
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK
- Department of Medicine, Imperial College London, London, UK
| | | | - Gael Chatelat
- Université de Normandie, Unicaen, Inserm, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", institut Blood-and-Brain @ Caen-Normandie, Cyceron, Caen, France
| | - Michael Ewers
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Alle Meije Wink
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centre, Vrije Universiteit, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, The Netherlands
| | - Henk J M M Mutsaerts
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, The Netherlands
- Ghent Institute for Functional and Metabolic Imaging (GIfMI), Ghent University, Ghent, Belgium
| | - Juan Domingo Gispert
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- CIBER Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Pieter Jelle Visser
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- Alzheimer Center Limburg, Department of Psychiatry & Neuropsychology, School of Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
- Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Betty M Tijms
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Andre Altmann
- Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, UK
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centre, Vrije Universiteit, Amsterdam, The Netherlands
- Institutes of Neurology and Healthcare Engineering, University College London, London, UK
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Mastenbroek SE, Sala A, Vállez García D, Shekari M, Salvadó G, Lorenzini L, Pieperhoff L, Wink AM, Lopes Alves I, Wolz R, Ritchie C, Boada M, Visser PJ, Bucci M, Farrar G, Hansson O, Nordberg AK, Ossenkoppele R, Barkhof F, Gispert JD, Rodriguez-Vieitez E, Collij LE. Continuous β-Amyloid CSF/PET Imbalance Model to Capture Alzheimer Disease Heterogeneity. Neurology 2024; 103:e209419. [PMID: 38862136 PMCID: PMC11244744 DOI: 10.1212/wnl.0000000000209419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 03/29/2024] [Indexed: 06/13/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Discordance between CSF and PET biomarkers of β-amyloid (Aβ) might reflect an imbalance between soluble and aggregated species, possibly reflecting disease heterogeneity. Previous studies generally used binary cutoffs to assess discrepancies in CSF/PET biomarkers, resulting in a loss of information on the extent of discordance. In this study, we (1) jointly modeled Aβ-CSF/PET data to derive a continuous measure of the imbalance between soluble and fibrillar pools of Aβ, (2) investigated factors contributing to this imbalance, and (3) examined associations with cognitive trajectories. METHODS Across 822 cognitively unimpaired (n = 261) and cognitively impaired (n = 561) Alzheimer's Disease Neuroimaging Initiative individuals (384 [46.7%] females, mean age 73.0 ± 7.4 years), we fitted baseline CSF-Aβ42 and global Aβ-PET to a hyperbolic regression model, deriving a participant-specific Aβ-aggregation score (standardized residuals); negative values represent more soluble relative to aggregated Aβ and positive values more aggregated relative to soluble Aβ. Using linear models, we investigated whether methodological factors, demographics, CSF biomarkers, and vascular burden contributed to Aβ-aggregation scores. With linear mixed models, we assessed whether Aβ-aggregation scores were predictive of cognitive functioning. Analyses were repeated in an early independent validation cohort of 383 Amyloid Imaging to Prevent Alzheimer's Disease Prognostic and Natural History Study individuals (224 [58.5%] females, mean age 65.2 ± 6.9 years). RESULTS The imbalance model could be fit (pseudo-R2 = 0.94) in both cohorts, across CSF kits and PET tracers. Although no associations were observed with the main methodological factors, lower Aβ-aggregation scores were associated with larger ventricular volume (β = 0.13, p < 0.001), male sex (β = -0.18, p = 0.019), and homozygous APOE-ε4 carriership (β = -0.56, p < 0.001), whereas higher scores were associated with increased uncorrected CSF p-tau (β = 0.17, p < 0.001) and t-tau (β = 0.16, p < 0.001), better baseline executive functioning (β = 0.12, p < 0.001), and slower global cognitive decline (β = 0.14, p = 0.006). In the validation cohort, we replicated the associations with APOE-ε4, CSF t-tau, and, although modestly, with cognition. DISCUSSION We propose a novel continuous model of Aβ CSF/PET biomarker imbalance, accurately describing heterogeneity in soluble vs aggregated Aβ pools in 2 independent cohorts across the full Aβ continuum. Aβ-aggregation scores were consistently associated with genetic and AD-associated CSF biomarkers, possibly reflecting disease heterogeneity beyond methodological influences.
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Affiliation(s)
- Sophie E Mastenbroek
- From the Department of Radiology and Nuclear Medicine (S.E.M., D.V.G., L.L., L.P., A.M.W., F.B., L.E.C.), Vrije Universiteit Amsterdam, Amsterdam University Medical Center, location VUmc; Amsterdam Neuroscience (S.E.M., D.V.G., L.L., L.P., A.M.W., F.B., L.E.C.), Brain Imaging, the Netherlands; Clinical Memory Research Unit (S.E.M., G.S., O.H., R.O., L.E.C.), Department of Clinical Sciences Malmö, Lund University; Division of Clinical Geriatrics (A.S., M. Bucci, A.K.N., E.R.-V.), Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Coma Science Group (A.S.), GIGA-Consciousness, University of Liège; Centre du Cerveau2 (A.S.), University Hospital of Liège, Belgium; Barcelonaβeta Brain Research Center (BBRC) (M.S., G.S., J.D.G.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.S., J.D.G.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (M.S., J.D.G.), Instituto de Salud Carlos III, Madrid; Universitat Pompeu Fabra (M.S.), Barcelona, Spain; Brain Research Center (I.L.A.), Amsterdam, the Netherlands; IXICO (R.W.), London; Centre for Clinical Brain Sciences (C.R.), University of Edinburgh, United Kingdom; Ace Alzheimer Center Barcelona (M. Boada), Universitat Internacional de Catalunya, Spain; Networking Research Center on Neurodegenerative Diseases (CIBERNED) (M. Boada), Instituto de Salud Carlos III, Madrid, Spain; Alzheimer Center Amsterdam (P.J.V., R.O.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.J.V.), Neurodegeneration; Alzheimer Center Limburg (P.J.V.), School for Mental Health and Neuroscience, Maastricht University, the Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Theme Inflammation and Aging (M. Bucci, A.K.N.), Karolinska University Hospital, Stockholm, Sweden; GE Healthcare (G.F.), Amersham, United Kingdom; Memory Clinic (O.H.), Skåne University Hospital, Malmö, Sweden; and Centre for Medical Image Computing (F.B.), and Queen Square Institute of Neurology, UCL, London, United Kingdom
| | - Arianna Sala
- From the Department of Radiology and Nuclear Medicine (S.E.M., D.V.G., L.L., L.P., A.M.W., F.B., L.E.C.), Vrije Universiteit Amsterdam, Amsterdam University Medical Center, location VUmc; Amsterdam Neuroscience (S.E.M., D.V.G., L.L., L.P., A.M.W., F.B., L.E.C.), Brain Imaging, the Netherlands; Clinical Memory Research Unit (S.E.M., G.S., O.H., R.O., L.E.C.), Department of Clinical Sciences Malmö, Lund University; Division of Clinical Geriatrics (A.S., M. Bucci, A.K.N., E.R.-V.), Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Coma Science Group (A.S.), GIGA-Consciousness, University of Liège; Centre du Cerveau2 (A.S.), University Hospital of Liège, Belgium; Barcelonaβeta Brain Research Center (BBRC) (M.S., G.S., J.D.G.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.S., J.D.G.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (M.S., J.D.G.), Instituto de Salud Carlos III, Madrid; Universitat Pompeu Fabra (M.S.), Barcelona, Spain; Brain Research Center (I.L.A.), Amsterdam, the Netherlands; IXICO (R.W.), London; Centre for Clinical Brain Sciences (C.R.), University of Edinburgh, United Kingdom; Ace Alzheimer Center Barcelona (M. Boada), Universitat Internacional de Catalunya, Spain; Networking Research Center on Neurodegenerative Diseases (CIBERNED) (M. Boada), Instituto de Salud Carlos III, Madrid, Spain; Alzheimer Center Amsterdam (P.J.V., R.O.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.J.V.), Neurodegeneration; Alzheimer Center Limburg (P.J.V.), School for Mental Health and Neuroscience, Maastricht University, the Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Theme Inflammation and Aging (M. Bucci, A.K.N.), Karolinska University Hospital, Stockholm, Sweden; GE Healthcare (G.F.), Amersham, United Kingdom; Memory Clinic (O.H.), Skåne University Hospital, Malmö, Sweden; and Centre for Medical Image Computing (F.B.), and Queen Square Institute of Neurology, UCL, London, United Kingdom
| | - David Vállez García
- From the Department of Radiology and Nuclear Medicine (S.E.M., D.V.G., L.L., L.P., A.M.W., F.B., L.E.C.), Vrije Universiteit Amsterdam, Amsterdam University Medical Center, location VUmc; Amsterdam Neuroscience (S.E.M., D.V.G., L.L., L.P., A.M.W., F.B., L.E.C.), Brain Imaging, the Netherlands; Clinical Memory Research Unit (S.E.M., G.S., O.H., R.O., L.E.C.), Department of Clinical Sciences Malmö, Lund University; Division of Clinical Geriatrics (A.S., M. Bucci, A.K.N., E.R.-V.), Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Coma Science Group (A.S.), GIGA-Consciousness, University of Liège; Centre du Cerveau2 (A.S.), University Hospital of Liège, Belgium; Barcelonaβeta Brain Research Center (BBRC) (M.S., G.S., J.D.G.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.S., J.D.G.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (M.S., J.D.G.), Instituto de Salud Carlos III, Madrid; Universitat Pompeu Fabra (M.S.), Barcelona, Spain; Brain Research Center (I.L.A.), Amsterdam, the Netherlands; IXICO (R.W.), London; Centre for Clinical Brain Sciences (C.R.), University of Edinburgh, United Kingdom; Ace Alzheimer Center Barcelona (M. Boada), Universitat Internacional de Catalunya, Spain; Networking Research Center on Neurodegenerative Diseases (CIBERNED) (M. Boada), Instituto de Salud Carlos III, Madrid, Spain; Alzheimer Center Amsterdam (P.J.V., R.O.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.J.V.), Neurodegeneration; Alzheimer Center Limburg (P.J.V.), School for Mental Health and Neuroscience, Maastricht University, the Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Theme Inflammation and Aging (M. Bucci, A.K.N.), Karolinska University Hospital, Stockholm, Sweden; GE Healthcare (G.F.), Amersham, United Kingdom; Memory Clinic (O.H.), Skåne University Hospital, Malmö, Sweden; and Centre for Medical Image Computing (F.B.), and Queen Square Institute of Neurology, UCL, London, United Kingdom
| | - Mahnaz Shekari
- From the Department of Radiology and Nuclear Medicine (S.E.M., D.V.G., L.L., L.P., A.M.W., F.B., L.E.C.), Vrije Universiteit Amsterdam, Amsterdam University Medical Center, location VUmc; Amsterdam Neuroscience (S.E.M., D.V.G., L.L., L.P., A.M.W., F.B., L.E.C.), Brain Imaging, the Netherlands; Clinical Memory Research Unit (S.E.M., G.S., O.H., R.O., L.E.C.), Department of Clinical Sciences Malmö, Lund University; Division of Clinical Geriatrics (A.S., M. Bucci, A.K.N., E.R.-V.), Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Coma Science Group (A.S.), GIGA-Consciousness, University of Liège; Centre du Cerveau2 (A.S.), University Hospital of Liège, Belgium; Barcelonaβeta Brain Research Center (BBRC) (M.S., G.S., J.D.G.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.S., J.D.G.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (M.S., J.D.G.), Instituto de Salud Carlos III, Madrid; Universitat Pompeu Fabra (M.S.), Barcelona, Spain; Brain Research Center (I.L.A.), Amsterdam, the Netherlands; IXICO (R.W.), London; Centre for Clinical Brain Sciences (C.R.), University of Edinburgh, United Kingdom; Ace Alzheimer Center Barcelona (M. Boada), Universitat Internacional de Catalunya, Spain; Networking Research Center on Neurodegenerative Diseases (CIBERNED) (M. Boada), Instituto de Salud Carlos III, Madrid, Spain; Alzheimer Center Amsterdam (P.J.V., R.O.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.J.V.), Neurodegeneration; Alzheimer Center Limburg (P.J.V.), School for Mental Health and Neuroscience, Maastricht University, the Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Theme Inflammation and Aging (M. Bucci, A.K.N.), Karolinska University Hospital, Stockholm, Sweden; GE Healthcare (G.F.), Amersham, United Kingdom; Memory Clinic (O.H.), Skåne University Hospital, Malmö, Sweden; and Centre for Medical Image Computing (F.B.), and Queen Square Institute of Neurology, UCL, London, United Kingdom
| | - Gemma Salvadó
- From the Department of Radiology and Nuclear Medicine (S.E.M., D.V.G., L.L., L.P., A.M.W., F.B., L.E.C.), Vrije Universiteit Amsterdam, Amsterdam University Medical Center, location VUmc; Amsterdam Neuroscience (S.E.M., D.V.G., L.L., L.P., A.M.W., F.B., L.E.C.), Brain Imaging, the Netherlands; Clinical Memory Research Unit (S.E.M., G.S., O.H., R.O., L.E.C.), Department of Clinical Sciences Malmö, Lund University; Division of Clinical Geriatrics (A.S., M. Bucci, A.K.N., E.R.-V.), Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Coma Science Group (A.S.), GIGA-Consciousness, University of Liège; Centre du Cerveau2 (A.S.), University Hospital of Liège, Belgium; Barcelonaβeta Brain Research Center (BBRC) (M.S., G.S., J.D.G.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.S., J.D.G.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (M.S., J.D.G.), Instituto de Salud Carlos III, Madrid; Universitat Pompeu Fabra (M.S.), Barcelona, Spain; Brain Research Center (I.L.A.), Amsterdam, the Netherlands; IXICO (R.W.), London; Centre for Clinical Brain Sciences (C.R.), University of Edinburgh, United Kingdom; Ace Alzheimer Center Barcelona (M. Boada), Universitat Internacional de Catalunya, Spain; Networking Research Center on Neurodegenerative Diseases (CIBERNED) (M. Boada), Instituto de Salud Carlos III, Madrid, Spain; Alzheimer Center Amsterdam (P.J.V., R.O.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.J.V.), Neurodegeneration; Alzheimer Center Limburg (P.J.V.), School for Mental Health and Neuroscience, Maastricht University, the Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Theme Inflammation and Aging (M. Bucci, A.K.N.), Karolinska University Hospital, Stockholm, Sweden; GE Healthcare (G.F.), Amersham, United Kingdom; Memory Clinic (O.H.), Skåne University Hospital, Malmö, Sweden; and Centre for Medical Image Computing (F.B.), and Queen Square Institute of Neurology, UCL, London, United Kingdom
| | - Luigi Lorenzini
- From the Department of Radiology and Nuclear Medicine (S.E.M., D.V.G., L.L., L.P., A.M.W., F.B., L.E.C.), Vrije Universiteit Amsterdam, Amsterdam University Medical Center, location VUmc; Amsterdam Neuroscience (S.E.M., D.V.G., L.L., L.P., A.M.W., F.B., L.E.C.), Brain Imaging, the Netherlands; Clinical Memory Research Unit (S.E.M., G.S., O.H., R.O., L.E.C.), Department of Clinical Sciences Malmö, Lund University; Division of Clinical Geriatrics (A.S., M. Bucci, A.K.N., E.R.-V.), Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Coma Science Group (A.S.), GIGA-Consciousness, University of Liège; Centre du Cerveau2 (A.S.), University Hospital of Liège, Belgium; Barcelonaβeta Brain Research Center (BBRC) (M.S., G.S., J.D.G.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.S., J.D.G.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (M.S., J.D.G.), Instituto de Salud Carlos III, Madrid; Universitat Pompeu Fabra (M.S.), Barcelona, Spain; Brain Research Center (I.L.A.), Amsterdam, the Netherlands; IXICO (R.W.), London; Centre for Clinical Brain Sciences (C.R.), University of Edinburgh, United Kingdom; Ace Alzheimer Center Barcelona (M. Boada), Universitat Internacional de Catalunya, Spain; Networking Research Center on Neurodegenerative Diseases (CIBERNED) (M. Boada), Instituto de Salud Carlos III, Madrid, Spain; Alzheimer Center Amsterdam (P.J.V., R.O.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.J.V.), Neurodegeneration; Alzheimer Center Limburg (P.J.V.), School for Mental Health and Neuroscience, Maastricht University, the Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Theme Inflammation and Aging (M. Bucci, A.K.N.), Karolinska University Hospital, Stockholm, Sweden; GE Healthcare (G.F.), Amersham, United Kingdom; Memory Clinic (O.H.), Skåne University Hospital, Malmö, Sweden; and Centre for Medical Image Computing (F.B.), and Queen Square Institute of Neurology, UCL, London, United Kingdom
| | - Leonard Pieperhoff
- From the Department of Radiology and Nuclear Medicine (S.E.M., D.V.G., L.L., L.P., A.M.W., F.B., L.E.C.), Vrije Universiteit Amsterdam, Amsterdam University Medical Center, location VUmc; Amsterdam Neuroscience (S.E.M., D.V.G., L.L., L.P., A.M.W., F.B., L.E.C.), Brain Imaging, the Netherlands; Clinical Memory Research Unit (S.E.M., G.S., O.H., R.O., L.E.C.), Department of Clinical Sciences Malmö, Lund University; Division of Clinical Geriatrics (A.S., M. Bucci, A.K.N., E.R.-V.), Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Coma Science Group (A.S.), GIGA-Consciousness, University of Liège; Centre du Cerveau2 (A.S.), University Hospital of Liège, Belgium; Barcelonaβeta Brain Research Center (BBRC) (M.S., G.S., J.D.G.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.S., J.D.G.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (M.S., J.D.G.), Instituto de Salud Carlos III, Madrid; Universitat Pompeu Fabra (M.S.), Barcelona, Spain; Brain Research Center (I.L.A.), Amsterdam, the Netherlands; IXICO (R.W.), London; Centre for Clinical Brain Sciences (C.R.), University of Edinburgh, United Kingdom; Ace Alzheimer Center Barcelona (M. Boada), Universitat Internacional de Catalunya, Spain; Networking Research Center on Neurodegenerative Diseases (CIBERNED) (M. Boada), Instituto de Salud Carlos III, Madrid, Spain; Alzheimer Center Amsterdam (P.J.V., R.O.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.J.V.), Neurodegeneration; Alzheimer Center Limburg (P.J.V.), School for Mental Health and Neuroscience, Maastricht University, the Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Theme Inflammation and Aging (M. Bucci, A.K.N.), Karolinska University Hospital, Stockholm, Sweden; GE Healthcare (G.F.), Amersham, United Kingdom; Memory Clinic (O.H.), Skåne University Hospital, Malmö, Sweden; and Centre for Medical Image Computing (F.B.), and Queen Square Institute of Neurology, UCL, London, United Kingdom
| | - Alle Meije Wink
- From the Department of Radiology and Nuclear Medicine (S.E.M., D.V.G., L.L., L.P., A.M.W., F.B., L.E.C.), Vrije Universiteit Amsterdam, Amsterdam University Medical Center, location VUmc; Amsterdam Neuroscience (S.E.M., D.V.G., L.L., L.P., A.M.W., F.B., L.E.C.), Brain Imaging, the Netherlands; Clinical Memory Research Unit (S.E.M., G.S., O.H., R.O., L.E.C.), Department of Clinical Sciences Malmö, Lund University; Division of Clinical Geriatrics (A.S., M. Bucci, A.K.N., E.R.-V.), Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Coma Science Group (A.S.), GIGA-Consciousness, University of Liège; Centre du Cerveau2 (A.S.), University Hospital of Liège, Belgium; Barcelonaβeta Brain Research Center (BBRC) (M.S., G.S., J.D.G.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.S., J.D.G.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (M.S., J.D.G.), Instituto de Salud Carlos III, Madrid; Universitat Pompeu Fabra (M.S.), Barcelona, Spain; Brain Research Center (I.L.A.), Amsterdam, the Netherlands; IXICO (R.W.), London; Centre for Clinical Brain Sciences (C.R.), University of Edinburgh, United Kingdom; Ace Alzheimer Center Barcelona (M. Boada), Universitat Internacional de Catalunya, Spain; Networking Research Center on Neurodegenerative Diseases (CIBERNED) (M. Boada), Instituto de Salud Carlos III, Madrid, Spain; Alzheimer Center Amsterdam (P.J.V., R.O.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.J.V.), Neurodegeneration; Alzheimer Center Limburg (P.J.V.), School for Mental Health and Neuroscience, Maastricht University, the Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Theme Inflammation and Aging (M. Bucci, A.K.N.), Karolinska University Hospital, Stockholm, Sweden; GE Healthcare (G.F.), Amersham, United Kingdom; Memory Clinic (O.H.), Skåne University Hospital, Malmö, Sweden; and Centre for Medical Image Computing (F.B.), and Queen Square Institute of Neurology, UCL, London, United Kingdom
| | - Isadora Lopes Alves
- From the Department of Radiology and Nuclear Medicine (S.E.M., D.V.G., L.L., L.P., A.M.W., F.B., L.E.C.), Vrije Universiteit Amsterdam, Amsterdam University Medical Center, location VUmc; Amsterdam Neuroscience (S.E.M., D.V.G., L.L., L.P., A.M.W., F.B., L.E.C.), Brain Imaging, the Netherlands; Clinical Memory Research Unit (S.E.M., G.S., O.H., R.O., L.E.C.), Department of Clinical Sciences Malmö, Lund University; Division of Clinical Geriatrics (A.S., M. Bucci, A.K.N., E.R.-V.), Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Coma Science Group (A.S.), GIGA-Consciousness, University of Liège; Centre du Cerveau2 (A.S.), University Hospital of Liège, Belgium; Barcelonaβeta Brain Research Center (BBRC) (M.S., G.S., J.D.G.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.S., J.D.G.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (M.S., J.D.G.), Instituto de Salud Carlos III, Madrid; Universitat Pompeu Fabra (M.S.), Barcelona, Spain; Brain Research Center (I.L.A.), Amsterdam, the Netherlands; IXICO (R.W.), London; Centre for Clinical Brain Sciences (C.R.), University of Edinburgh, United Kingdom; Ace Alzheimer Center Barcelona (M. Boada), Universitat Internacional de Catalunya, Spain; Networking Research Center on Neurodegenerative Diseases (CIBERNED) (M. Boada), Instituto de Salud Carlos III, Madrid, Spain; Alzheimer Center Amsterdam (P.J.V., R.O.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.J.V.), Neurodegeneration; Alzheimer Center Limburg (P.J.V.), School for Mental Health and Neuroscience, Maastricht University, the Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Theme Inflammation and Aging (M. Bucci, A.K.N.), Karolinska University Hospital, Stockholm, Sweden; GE Healthcare (G.F.), Amersham, United Kingdom; Memory Clinic (O.H.), Skåne University Hospital, Malmö, Sweden; and Centre for Medical Image Computing (F.B.), and Queen Square Institute of Neurology, UCL, London, United Kingdom
| | - Robin Wolz
- From the Department of Radiology and Nuclear Medicine (S.E.M., D.V.G., L.L., L.P., A.M.W., F.B., L.E.C.), Vrije Universiteit Amsterdam, Amsterdam University Medical Center, location VUmc; Amsterdam Neuroscience (S.E.M., D.V.G., L.L., L.P., A.M.W., F.B., L.E.C.), Brain Imaging, the Netherlands; Clinical Memory Research Unit (S.E.M., G.S., O.H., R.O., L.E.C.), Department of Clinical Sciences Malmö, Lund University; Division of Clinical Geriatrics (A.S., M. Bucci, A.K.N., E.R.-V.), Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Coma Science Group (A.S.), GIGA-Consciousness, University of Liège; Centre du Cerveau2 (A.S.), University Hospital of Liège, Belgium; Barcelonaβeta Brain Research Center (BBRC) (M.S., G.S., J.D.G.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.S., J.D.G.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (M.S., J.D.G.), Instituto de Salud Carlos III, Madrid; Universitat Pompeu Fabra (M.S.), Barcelona, Spain; Brain Research Center (I.L.A.), Amsterdam, the Netherlands; IXICO (R.W.), London; Centre for Clinical Brain Sciences (C.R.), University of Edinburgh, United Kingdom; Ace Alzheimer Center Barcelona (M. Boada), Universitat Internacional de Catalunya, Spain; Networking Research Center on Neurodegenerative Diseases (CIBERNED) (M. Boada), Instituto de Salud Carlos III, Madrid, Spain; Alzheimer Center Amsterdam (P.J.V., R.O.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.J.V.), Neurodegeneration; Alzheimer Center Limburg (P.J.V.), School for Mental Health and Neuroscience, Maastricht University, the Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Theme Inflammation and Aging (M. Bucci, A.K.N.), Karolinska University Hospital, Stockholm, Sweden; GE Healthcare (G.F.), Amersham, United Kingdom; Memory Clinic (O.H.), Skåne University Hospital, Malmö, Sweden; and Centre for Medical Image Computing (F.B.), and Queen Square Institute of Neurology, UCL, London, United Kingdom
| | - Craig Ritchie
- From the Department of Radiology and Nuclear Medicine (S.E.M., D.V.G., L.L., L.P., A.M.W., F.B., L.E.C.), Vrije Universiteit Amsterdam, Amsterdam University Medical Center, location VUmc; Amsterdam Neuroscience (S.E.M., D.V.G., L.L., L.P., A.M.W., F.B., L.E.C.), Brain Imaging, the Netherlands; Clinical Memory Research Unit (S.E.M., G.S., O.H., R.O., L.E.C.), Department of Clinical Sciences Malmö, Lund University; Division of Clinical Geriatrics (A.S., M. Bucci, A.K.N., E.R.-V.), Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Coma Science Group (A.S.), GIGA-Consciousness, University of Liège; Centre du Cerveau2 (A.S.), University Hospital of Liège, Belgium; Barcelonaβeta Brain Research Center (BBRC) (M.S., G.S., J.D.G.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.S., J.D.G.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (M.S., J.D.G.), Instituto de Salud Carlos III, Madrid; Universitat Pompeu Fabra (M.S.), Barcelona, Spain; Brain Research Center (I.L.A.), Amsterdam, the Netherlands; IXICO (R.W.), London; Centre for Clinical Brain Sciences (C.R.), University of Edinburgh, United Kingdom; Ace Alzheimer Center Barcelona (M. Boada), Universitat Internacional de Catalunya, Spain; Networking Research Center on Neurodegenerative Diseases (CIBERNED) (M. Boada), Instituto de Salud Carlos III, Madrid, Spain; Alzheimer Center Amsterdam (P.J.V., R.O.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.J.V.), Neurodegeneration; Alzheimer Center Limburg (P.J.V.), School for Mental Health and Neuroscience, Maastricht University, the Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Theme Inflammation and Aging (M. Bucci, A.K.N.), Karolinska University Hospital, Stockholm, Sweden; GE Healthcare (G.F.), Amersham, United Kingdom; Memory Clinic (O.H.), Skåne University Hospital, Malmö, Sweden; and Centre for Medical Image Computing (F.B.), and Queen Square Institute of Neurology, UCL, London, United Kingdom
| | - Mercè Boada
- From the Department of Radiology and Nuclear Medicine (S.E.M., D.V.G., L.L., L.P., A.M.W., F.B., L.E.C.), Vrije Universiteit Amsterdam, Amsterdam University Medical Center, location VUmc; Amsterdam Neuroscience (S.E.M., D.V.G., L.L., L.P., A.M.W., F.B., L.E.C.), Brain Imaging, the Netherlands; Clinical Memory Research Unit (S.E.M., G.S., O.H., R.O., L.E.C.), Department of Clinical Sciences Malmö, Lund University; Division of Clinical Geriatrics (A.S., M. Bucci, A.K.N., E.R.-V.), Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Coma Science Group (A.S.), GIGA-Consciousness, University of Liège; Centre du Cerveau2 (A.S.), University Hospital of Liège, Belgium; Barcelonaβeta Brain Research Center (BBRC) (M.S., G.S., J.D.G.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.S., J.D.G.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (M.S., J.D.G.), Instituto de Salud Carlos III, Madrid; Universitat Pompeu Fabra (M.S.), Barcelona, Spain; Brain Research Center (I.L.A.), Amsterdam, the Netherlands; IXICO (R.W.), London; Centre for Clinical Brain Sciences (C.R.), University of Edinburgh, United Kingdom; Ace Alzheimer Center Barcelona (M. Boada), Universitat Internacional de Catalunya, Spain; Networking Research Center on Neurodegenerative Diseases (CIBERNED) (M. Boada), Instituto de Salud Carlos III, Madrid, Spain; Alzheimer Center Amsterdam (P.J.V., R.O.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.J.V.), Neurodegeneration; Alzheimer Center Limburg (P.J.V.), School for Mental Health and Neuroscience, Maastricht University, the Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Theme Inflammation and Aging (M. Bucci, A.K.N.), Karolinska University Hospital, Stockholm, Sweden; GE Healthcare (G.F.), Amersham, United Kingdom; Memory Clinic (O.H.), Skåne University Hospital, Malmö, Sweden; and Centre for Medical Image Computing (F.B.), and Queen Square Institute of Neurology, UCL, London, United Kingdom
| | - Pieter Jelle Visser
- From the Department of Radiology and Nuclear Medicine (S.E.M., D.V.G., L.L., L.P., A.M.W., F.B., L.E.C.), Vrije Universiteit Amsterdam, Amsterdam University Medical Center, location VUmc; Amsterdam Neuroscience (S.E.M., D.V.G., L.L., L.P., A.M.W., F.B., L.E.C.), Brain Imaging, the Netherlands; Clinical Memory Research Unit (S.E.M., G.S., O.H., R.O., L.E.C.), Department of Clinical Sciences Malmö, Lund University; Division of Clinical Geriatrics (A.S., M. Bucci, A.K.N., E.R.-V.), Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Coma Science Group (A.S.), GIGA-Consciousness, University of Liège; Centre du Cerveau2 (A.S.), University Hospital of Liège, Belgium; Barcelonaβeta Brain Research Center (BBRC) (M.S., G.S., J.D.G.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.S., J.D.G.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (M.S., J.D.G.), Instituto de Salud Carlos III, Madrid; Universitat Pompeu Fabra (M.S.), Barcelona, Spain; Brain Research Center (I.L.A.), Amsterdam, the Netherlands; IXICO (R.W.), London; Centre for Clinical Brain Sciences (C.R.), University of Edinburgh, United Kingdom; Ace Alzheimer Center Barcelona (M. Boada), Universitat Internacional de Catalunya, Spain; Networking Research Center on Neurodegenerative Diseases (CIBERNED) (M. Boada), Instituto de Salud Carlos III, Madrid, Spain; Alzheimer Center Amsterdam (P.J.V., R.O.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.J.V.), Neurodegeneration; Alzheimer Center Limburg (P.J.V.), School for Mental Health and Neuroscience, Maastricht University, the Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Theme Inflammation and Aging (M. Bucci, A.K.N.), Karolinska University Hospital, Stockholm, Sweden; GE Healthcare (G.F.), Amersham, United Kingdom; Memory Clinic (O.H.), Skåne University Hospital, Malmö, Sweden; and Centre for Medical Image Computing (F.B.), and Queen Square Institute of Neurology, UCL, London, United Kingdom
| | - Marco Bucci
- From the Department of Radiology and Nuclear Medicine (S.E.M., D.V.G., L.L., L.P., A.M.W., F.B., L.E.C.), Vrije Universiteit Amsterdam, Amsterdam University Medical Center, location VUmc; Amsterdam Neuroscience (S.E.M., D.V.G., L.L., L.P., A.M.W., F.B., L.E.C.), Brain Imaging, the Netherlands; Clinical Memory Research Unit (S.E.M., G.S., O.H., R.O., L.E.C.), Department of Clinical Sciences Malmö, Lund University; Division of Clinical Geriatrics (A.S., M. Bucci, A.K.N., E.R.-V.), Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Coma Science Group (A.S.), GIGA-Consciousness, University of Liège; Centre du Cerveau2 (A.S.), University Hospital of Liège, Belgium; Barcelonaβeta Brain Research Center (BBRC) (M.S., G.S., J.D.G.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.S., J.D.G.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (M.S., J.D.G.), Instituto de Salud Carlos III, Madrid; Universitat Pompeu Fabra (M.S.), Barcelona, Spain; Brain Research Center (I.L.A.), Amsterdam, the Netherlands; IXICO (R.W.), London; Centre for Clinical Brain Sciences (C.R.), University of Edinburgh, United Kingdom; Ace Alzheimer Center Barcelona (M. Boada), Universitat Internacional de Catalunya, Spain; Networking Research Center on Neurodegenerative Diseases (CIBERNED) (M. Boada), Instituto de Salud Carlos III, Madrid, Spain; Alzheimer Center Amsterdam (P.J.V., R.O.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.J.V.), Neurodegeneration; Alzheimer Center Limburg (P.J.V.), School for Mental Health and Neuroscience, Maastricht University, the Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Theme Inflammation and Aging (M. Bucci, A.K.N.), Karolinska University Hospital, Stockholm, Sweden; GE Healthcare (G.F.), Amersham, United Kingdom; Memory Clinic (O.H.), Skåne University Hospital, Malmö, Sweden; and Centre for Medical Image Computing (F.B.), and Queen Square Institute of Neurology, UCL, London, United Kingdom
| | - Gill Farrar
- From the Department of Radiology and Nuclear Medicine (S.E.M., D.V.G., L.L., L.P., A.M.W., F.B., L.E.C.), Vrije Universiteit Amsterdam, Amsterdam University Medical Center, location VUmc; Amsterdam Neuroscience (S.E.M., D.V.G., L.L., L.P., A.M.W., F.B., L.E.C.), Brain Imaging, the Netherlands; Clinical Memory Research Unit (S.E.M., G.S., O.H., R.O., L.E.C.), Department of Clinical Sciences Malmö, Lund University; Division of Clinical Geriatrics (A.S., M. Bucci, A.K.N., E.R.-V.), Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Coma Science Group (A.S.), GIGA-Consciousness, University of Liège; Centre du Cerveau2 (A.S.), University Hospital of Liège, Belgium; Barcelonaβeta Brain Research Center (BBRC) (M.S., G.S., J.D.G.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.S., J.D.G.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (M.S., J.D.G.), Instituto de Salud Carlos III, Madrid; Universitat Pompeu Fabra (M.S.), Barcelona, Spain; Brain Research Center (I.L.A.), Amsterdam, the Netherlands; IXICO (R.W.), London; Centre for Clinical Brain Sciences (C.R.), University of Edinburgh, United Kingdom; Ace Alzheimer Center Barcelona (M. Boada), Universitat Internacional de Catalunya, Spain; Networking Research Center on Neurodegenerative Diseases (CIBERNED) (M. Boada), Instituto de Salud Carlos III, Madrid, Spain; Alzheimer Center Amsterdam (P.J.V., R.O.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.J.V.), Neurodegeneration; Alzheimer Center Limburg (P.J.V.), School for Mental Health and Neuroscience, Maastricht University, the Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Theme Inflammation and Aging (M. Bucci, A.K.N.), Karolinska University Hospital, Stockholm, Sweden; GE Healthcare (G.F.), Amersham, United Kingdom; Memory Clinic (O.H.), Skåne University Hospital, Malmö, Sweden; and Centre for Medical Image Computing (F.B.), and Queen Square Institute of Neurology, UCL, London, United Kingdom
| | - Oskar Hansson
- From the Department of Radiology and Nuclear Medicine (S.E.M., D.V.G., L.L., L.P., A.M.W., F.B., L.E.C.), Vrije Universiteit Amsterdam, Amsterdam University Medical Center, location VUmc; Amsterdam Neuroscience (S.E.M., D.V.G., L.L., L.P., A.M.W., F.B., L.E.C.), Brain Imaging, the Netherlands; Clinical Memory Research Unit (S.E.M., G.S., O.H., R.O., L.E.C.), Department of Clinical Sciences Malmö, Lund University; Division of Clinical Geriatrics (A.S., M. Bucci, A.K.N., E.R.-V.), Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Coma Science Group (A.S.), GIGA-Consciousness, University of Liège; Centre du Cerveau2 (A.S.), University Hospital of Liège, Belgium; Barcelonaβeta Brain Research Center (BBRC) (M.S., G.S., J.D.G.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.S., J.D.G.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (M.S., J.D.G.), Instituto de Salud Carlos III, Madrid; Universitat Pompeu Fabra (M.S.), Barcelona, Spain; Brain Research Center (I.L.A.), Amsterdam, the Netherlands; IXICO (R.W.), London; Centre for Clinical Brain Sciences (C.R.), University of Edinburgh, United Kingdom; Ace Alzheimer Center Barcelona (M. Boada), Universitat Internacional de Catalunya, Spain; Networking Research Center on Neurodegenerative Diseases (CIBERNED) (M. Boada), Instituto de Salud Carlos III, Madrid, Spain; Alzheimer Center Amsterdam (P.J.V., R.O.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.J.V.), Neurodegeneration; Alzheimer Center Limburg (P.J.V.), School for Mental Health and Neuroscience, Maastricht University, the Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Theme Inflammation and Aging (M. Bucci, A.K.N.), Karolinska University Hospital, Stockholm, Sweden; GE Healthcare (G.F.), Amersham, United Kingdom; Memory Clinic (O.H.), Skåne University Hospital, Malmö, Sweden; and Centre for Medical Image Computing (F.B.), and Queen Square Institute of Neurology, UCL, London, United Kingdom
| | - Agneta K Nordberg
- From the Department of Radiology and Nuclear Medicine (S.E.M., D.V.G., L.L., L.P., A.M.W., F.B., L.E.C.), Vrije Universiteit Amsterdam, Amsterdam University Medical Center, location VUmc; Amsterdam Neuroscience (S.E.M., D.V.G., L.L., L.P., A.M.W., F.B., L.E.C.), Brain Imaging, the Netherlands; Clinical Memory Research Unit (S.E.M., G.S., O.H., R.O., L.E.C.), Department of Clinical Sciences Malmö, Lund University; Division of Clinical Geriatrics (A.S., M. Bucci, A.K.N., E.R.-V.), Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Coma Science Group (A.S.), GIGA-Consciousness, University of Liège; Centre du Cerveau2 (A.S.), University Hospital of Liège, Belgium; Barcelonaβeta Brain Research Center (BBRC) (M.S., G.S., J.D.G.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.S., J.D.G.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (M.S., J.D.G.), Instituto de Salud Carlos III, Madrid; Universitat Pompeu Fabra (M.S.), Barcelona, Spain; Brain Research Center (I.L.A.), Amsterdam, the Netherlands; IXICO (R.W.), London; Centre for Clinical Brain Sciences (C.R.), University of Edinburgh, United Kingdom; Ace Alzheimer Center Barcelona (M. Boada), Universitat Internacional de Catalunya, Spain; Networking Research Center on Neurodegenerative Diseases (CIBERNED) (M. Boada), Instituto de Salud Carlos III, Madrid, Spain; Alzheimer Center Amsterdam (P.J.V., R.O.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.J.V.), Neurodegeneration; Alzheimer Center Limburg (P.J.V.), School for Mental Health and Neuroscience, Maastricht University, the Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Theme Inflammation and Aging (M. Bucci, A.K.N.), Karolinska University Hospital, Stockholm, Sweden; GE Healthcare (G.F.), Amersham, United Kingdom; Memory Clinic (O.H.), Skåne University Hospital, Malmö, Sweden; and Centre for Medical Image Computing (F.B.), and Queen Square Institute of Neurology, UCL, London, United Kingdom
| | - Rik Ossenkoppele
- From the Department of Radiology and Nuclear Medicine (S.E.M., D.V.G., L.L., L.P., A.M.W., F.B., L.E.C.), Vrije Universiteit Amsterdam, Amsterdam University Medical Center, location VUmc; Amsterdam Neuroscience (S.E.M., D.V.G., L.L., L.P., A.M.W., F.B., L.E.C.), Brain Imaging, the Netherlands; Clinical Memory Research Unit (S.E.M., G.S., O.H., R.O., L.E.C.), Department of Clinical Sciences Malmö, Lund University; Division of Clinical Geriatrics (A.S., M. Bucci, A.K.N., E.R.-V.), Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Coma Science Group (A.S.), GIGA-Consciousness, University of Liège; Centre du Cerveau2 (A.S.), University Hospital of Liège, Belgium; Barcelonaβeta Brain Research Center (BBRC) (M.S., G.S., J.D.G.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.S., J.D.G.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (M.S., J.D.G.), Instituto de Salud Carlos III, Madrid; Universitat Pompeu Fabra (M.S.), Barcelona, Spain; Brain Research Center (I.L.A.), Amsterdam, the Netherlands; IXICO (R.W.), London; Centre for Clinical Brain Sciences (C.R.), University of Edinburgh, United Kingdom; Ace Alzheimer Center Barcelona (M. Boada), Universitat Internacional de Catalunya, Spain; Networking Research Center on Neurodegenerative Diseases (CIBERNED) (M. Boada), Instituto de Salud Carlos III, Madrid, Spain; Alzheimer Center Amsterdam (P.J.V., R.O.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.J.V.), Neurodegeneration; Alzheimer Center Limburg (P.J.V.), School for Mental Health and Neuroscience, Maastricht University, the Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Theme Inflammation and Aging (M. Bucci, A.K.N.), Karolinska University Hospital, Stockholm, Sweden; GE Healthcare (G.F.), Amersham, United Kingdom; Memory Clinic (O.H.), Skåne University Hospital, Malmö, Sweden; and Centre for Medical Image Computing (F.B.), and Queen Square Institute of Neurology, UCL, London, United Kingdom
| | - Frederik Barkhof
- From the Department of Radiology and Nuclear Medicine (S.E.M., D.V.G., L.L., L.P., A.M.W., F.B., L.E.C.), Vrije Universiteit Amsterdam, Amsterdam University Medical Center, location VUmc; Amsterdam Neuroscience (S.E.M., D.V.G., L.L., L.P., A.M.W., F.B., L.E.C.), Brain Imaging, the Netherlands; Clinical Memory Research Unit (S.E.M., G.S., O.H., R.O., L.E.C.), Department of Clinical Sciences Malmö, Lund University; Division of Clinical Geriatrics (A.S., M. Bucci, A.K.N., E.R.-V.), Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Coma Science Group (A.S.), GIGA-Consciousness, University of Liège; Centre du Cerveau2 (A.S.), University Hospital of Liège, Belgium; Barcelonaβeta Brain Research Center (BBRC) (M.S., G.S., J.D.G.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.S., J.D.G.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (M.S., J.D.G.), Instituto de Salud Carlos III, Madrid; Universitat Pompeu Fabra (M.S.), Barcelona, Spain; Brain Research Center (I.L.A.), Amsterdam, the Netherlands; IXICO (R.W.), London; Centre for Clinical Brain Sciences (C.R.), University of Edinburgh, United Kingdom; Ace Alzheimer Center Barcelona (M. Boada), Universitat Internacional de Catalunya, Spain; Networking Research Center on Neurodegenerative Diseases (CIBERNED) (M. Boada), Instituto de Salud Carlos III, Madrid, Spain; Alzheimer Center Amsterdam (P.J.V., R.O.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.J.V.), Neurodegeneration; Alzheimer Center Limburg (P.J.V.), School for Mental Health and Neuroscience, Maastricht University, the Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Theme Inflammation and Aging (M. Bucci, A.K.N.), Karolinska University Hospital, Stockholm, Sweden; GE Healthcare (G.F.), Amersham, United Kingdom; Memory Clinic (O.H.), Skåne University Hospital, Malmö, Sweden; and Centre for Medical Image Computing (F.B.), and Queen Square Institute of Neurology, UCL, London, United Kingdom
| | - Juan Domingo Gispert
- From the Department of Radiology and Nuclear Medicine (S.E.M., D.V.G., L.L., L.P., A.M.W., F.B., L.E.C.), Vrije Universiteit Amsterdam, Amsterdam University Medical Center, location VUmc; Amsterdam Neuroscience (S.E.M., D.V.G., L.L., L.P., A.M.W., F.B., L.E.C.), Brain Imaging, the Netherlands; Clinical Memory Research Unit (S.E.M., G.S., O.H., R.O., L.E.C.), Department of Clinical Sciences Malmö, Lund University; Division of Clinical Geriatrics (A.S., M. Bucci, A.K.N., E.R.-V.), Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Coma Science Group (A.S.), GIGA-Consciousness, University of Liège; Centre du Cerveau2 (A.S.), University Hospital of Liège, Belgium; Barcelonaβeta Brain Research Center (BBRC) (M.S., G.S., J.D.G.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.S., J.D.G.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (M.S., J.D.G.), Instituto de Salud Carlos III, Madrid; Universitat Pompeu Fabra (M.S.), Barcelona, Spain; Brain Research Center (I.L.A.), Amsterdam, the Netherlands; IXICO (R.W.), London; Centre for Clinical Brain Sciences (C.R.), University of Edinburgh, United Kingdom; Ace Alzheimer Center Barcelona (M. Boada), Universitat Internacional de Catalunya, Spain; Networking Research Center on Neurodegenerative Diseases (CIBERNED) (M. Boada), Instituto de Salud Carlos III, Madrid, Spain; Alzheimer Center Amsterdam (P.J.V., R.O.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.J.V.), Neurodegeneration; Alzheimer Center Limburg (P.J.V.), School for Mental Health and Neuroscience, Maastricht University, the Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Theme Inflammation and Aging (M. Bucci, A.K.N.), Karolinska University Hospital, Stockholm, Sweden; GE Healthcare (G.F.), Amersham, United Kingdom; Memory Clinic (O.H.), Skåne University Hospital, Malmö, Sweden; and Centre for Medical Image Computing (F.B.), and Queen Square Institute of Neurology, UCL, London, United Kingdom
| | - Elena Rodriguez-Vieitez
- From the Department of Radiology and Nuclear Medicine (S.E.M., D.V.G., L.L., L.P., A.M.W., F.B., L.E.C.), Vrije Universiteit Amsterdam, Amsterdam University Medical Center, location VUmc; Amsterdam Neuroscience (S.E.M., D.V.G., L.L., L.P., A.M.W., F.B., L.E.C.), Brain Imaging, the Netherlands; Clinical Memory Research Unit (S.E.M., G.S., O.H., R.O., L.E.C.), Department of Clinical Sciences Malmö, Lund University; Division of Clinical Geriatrics (A.S., M. Bucci, A.K.N., E.R.-V.), Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Coma Science Group (A.S.), GIGA-Consciousness, University of Liège; Centre du Cerveau2 (A.S.), University Hospital of Liège, Belgium; Barcelonaβeta Brain Research Center (BBRC) (M.S., G.S., J.D.G.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.S., J.D.G.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (M.S., J.D.G.), Instituto de Salud Carlos III, Madrid; Universitat Pompeu Fabra (M.S.), Barcelona, Spain; Brain Research Center (I.L.A.), Amsterdam, the Netherlands; IXICO (R.W.), London; Centre for Clinical Brain Sciences (C.R.), University of Edinburgh, United Kingdom; Ace Alzheimer Center Barcelona (M. Boada), Universitat Internacional de Catalunya, Spain; Networking Research Center on Neurodegenerative Diseases (CIBERNED) (M. Boada), Instituto de Salud Carlos III, Madrid, Spain; Alzheimer Center Amsterdam (P.J.V., R.O.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.J.V.), Neurodegeneration; Alzheimer Center Limburg (P.J.V.), School for Mental Health and Neuroscience, Maastricht University, the Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Theme Inflammation and Aging (M. Bucci, A.K.N.), Karolinska University Hospital, Stockholm, Sweden; GE Healthcare (G.F.), Amersham, United Kingdom; Memory Clinic (O.H.), Skåne University Hospital, Malmö, Sweden; and Centre for Medical Image Computing (F.B.), and Queen Square Institute of Neurology, UCL, London, United Kingdom
| | - Lyduine E Collij
- From the Department of Radiology and Nuclear Medicine (S.E.M., D.V.G., L.L., L.P., A.M.W., F.B., L.E.C.), Vrije Universiteit Amsterdam, Amsterdam University Medical Center, location VUmc; Amsterdam Neuroscience (S.E.M., D.V.G., L.L., L.P., A.M.W., F.B., L.E.C.), Brain Imaging, the Netherlands; Clinical Memory Research Unit (S.E.M., G.S., O.H., R.O., L.E.C.), Department of Clinical Sciences Malmö, Lund University; Division of Clinical Geriatrics (A.S., M. Bucci, A.K.N., E.R.-V.), Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Coma Science Group (A.S.), GIGA-Consciousness, University of Liège; Centre du Cerveau2 (A.S.), University Hospital of Liège, Belgium; Barcelonaβeta Brain Research Center (BBRC) (M.S., G.S., J.D.G.), Pasqual Maragall Foundation; IMIM (Hospital del Mar Medical Research Institute) (M.S., J.D.G.), Barcelona; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (M.S., J.D.G.), Instituto de Salud Carlos III, Madrid; Universitat Pompeu Fabra (M.S.), Barcelona, Spain; Brain Research Center (I.L.A.), Amsterdam, the Netherlands; IXICO (R.W.), London; Centre for Clinical Brain Sciences (C.R.), University of Edinburgh, United Kingdom; Ace Alzheimer Center Barcelona (M. Boada), Universitat Internacional de Catalunya, Spain; Networking Research Center on Neurodegenerative Diseases (CIBERNED) (M. Boada), Instituto de Salud Carlos III, Madrid, Spain; Alzheimer Center Amsterdam (P.J.V., R.O.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc; Amsterdam Neuroscience (P.J.V.), Neurodegeneration; Alzheimer Center Limburg (P.J.V.), School for Mental Health and Neuroscience, Maastricht University, the Netherlands; Division of Neurogeriatrics (P.J.V.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Theme Inflammation and Aging (M. Bucci, A.K.N.), Karolinska University Hospital, Stockholm, Sweden; GE Healthcare (G.F.), Amersham, United Kingdom; Memory Clinic (O.H.), Skåne University Hospital, Malmö, Sweden; and Centre for Medical Image Computing (F.B.), and Queen Square Institute of Neurology, UCL, London, United Kingdom
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5
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Quenon L, Collij LE, Garcia DV, Lopes Alves I, Gérard T, Malotaux V, Huyghe L, Gispert JD, Jessen F, Visser PJ, den Braber A, Ritchie CW, Boada M, Marquié M, Vandenberghe R, Luckett ES, Schöll M, Frisoni GB, Buckley C, Stephens A, Altomare D, Ford L, Birck C, Mett A, Gismondi R, Wolz R, Grootoonk S, Manber R, Shekari M, Lhommel R, Dricot L, Ivanoiu A, Farrar G, Barkhof F, Hanseeuw BJ. Amyloid-PET imaging predicts functional decline in clinically normal individuals. Alzheimers Res Ther 2024; 16:130. [PMID: 38886831 PMCID: PMC11181677 DOI: 10.1186/s13195-024-01494-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Accepted: 06/09/2024] [Indexed: 06/20/2024]
Abstract
BACKGROUND There is good evidence that elevated amyloid-β (Aβ) positron emission tomography (PET) signal is associated with cognitive decline in clinically normal (CN) individuals. However, it is less well established whether there is an association between the Aβ burden and decline in daily living activities in this population. Moreover, Aβ-PET Centiloids (CL) thresholds that can optimally predict functional decline have not yet been established. METHODS Cross-sectional and longitudinal analyses over a mean three-year timeframe were performed on the European amyloid-PET imaging AMYPAD-PNHS dataset that phenotypes 1260 individuals, including 1032 CN individuals and 228 participants with questionable functional impairment. Amyloid-PET was assessed continuously on the Centiloid (CL) scale and using Aβ groups (CL < 12 = Aβ-, 12 ≤ CL ≤ 50 = Aβ-intermediate/Aβ± , CL > 50 = Aβ+). Functional abilities were longitudinally assessed using the Clinical Dementia Rating (Global-CDR, CDR-SOB) and the Amsterdam Instrumental Activities of Daily Living Questionnaire (A-IADL-Q). The Global-CDR was available for the 1260 participants at baseline, while baseline CDR-SOB and A-IADL-Q scores and longitudinal functional data were available for different subsamples that had similar characteristics to those of the entire sample. RESULTS Participants included 765 Aβ- (61%, Mdnage = 66.0, IQRage = 61.0-71.0; 59% women), 301 Aβ± (24%; Mdnage = 69.0, IQRage = 64.0-75.0; 53% women) and 194 Aβ+ individuals (15%, Mdnage = 73.0, IQRage = 68.0-78.0; 53% women). Cross-sectionally, CL values were associated with CDR outcomes. Longitudinally, baseline CL values predicted prospective changes in the CDR-SOB (bCL*Time = 0.001/CL/year, 95% CI [0.0005,0.0024], p = .003) and A-IADL-Q (bCL*Time = -0.010/CL/year, 95% CI [-0.016,-0.004], p = .002) scores in initially CN participants. Increased clinical progression (Global-CDR > 0) was mainly observed in Aβ+ CN individuals (HRAβ+ vs Aβ- = 2.55, 95% CI [1.16,5.60], p = .020). Optimal thresholds for predicting decline were found at 41 CL using the CDR-SOB (bAβ+ vs Aβ- = 0.137/year, 95% CI [0.069,0.206], p < .001) and 28 CL using the A-IADL-Q (bAβ+ vs Aβ- = -0.693/year, 95% CI [-1.179,-0.208], p = .005). CONCLUSIONS Amyloid-PET quantification supports the identification of CN individuals at risk of functional decline. TRIAL REGISTRATION The AMYPAD PNHS is registered at www.clinicaltrialsregister.eu with the EudraCT Number: 2018-002277-22.
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Affiliation(s)
- Lisa Quenon
- Institute of Neuroscience, UCLouvain, Brussels, Belgium.
- Department of Neurology, Cliniques Universitaires Saint-Luc, Brussels, Belgium.
| | - Lyduine E Collij
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- Clinical Memory Research Unit, Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - David Vállez Garcia
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Isadora Lopes Alves
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- Brain Research Center, Amsterdam, The Netherlands
| | - Thomas Gérard
- Institute of Neuroscience, UCLouvain, Brussels, Belgium
- Department of Nuclear Medicine, Cliniques Universitaires Saint-Luc, Brussels, Belgium
| | - Vincent Malotaux
- Institute of Neuroscience, UCLouvain, Brussels, Belgium
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Lara Huyghe
- Institute of Neuroscience, UCLouvain, Brussels, Belgium
| | - Juan Domingo Gispert
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina, Madrid, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Frank Jessen
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Psychiatry, Medical Faculty, University of Cologne, Cologne, Germany
| | - Pieter Jelle Visser
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Centrum Limburg, Maastricht University, Maastricht, Netherlands
| | - Anouk den Braber
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
- Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Craig W Ritchie
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Mercè Boada
- Ace Alzheimer Center Barcelona - Universitat Internacional de Catalunya, Barcelona, Spain
- Networking Research Center for Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Marta Marquié
- Ace Alzheimer Center Barcelona - Universitat Internacional de Catalunya, Barcelona, Spain
- Networking Research Center for Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Rik Vandenberghe
- Laboratory for Cognitive Neurology, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Louvain, Belgium
- Neurology Service, University Hospital Leuven, Louvain, Belgium
| | - Emma S Luckett
- Laboratory for Cognitive Neurology, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Louvain, Belgium
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden
| | - Michael Schöll
- Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Göteborg, Sweden
- Department of Psychiatry and Neurochemistry, University of Gothenburg, Mölndal, Sweden
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, UK
| | - Giovanni B Frisoni
- Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland
- Memory Clinic, University Hospital of Geneva, Geneva, Switzerland
| | | | | | - Daniele Altomare
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Lisa Ford
- Johnson & Johnson Innovative Medicine, Titusville, NJ, USA
| | | | - Anja Mett
- GE HealthCare, Glattbrugg, Switzerland
| | | | | | | | | | - Mahnaz Shekari
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
| | - Renaud Lhommel
- Institute of Neuroscience, UCLouvain, Brussels, Belgium
- Department of Nuclear Medicine, Cliniques Universitaires Saint-Luc, Brussels, Belgium
| | | | - Adrian Ivanoiu
- Institute of Neuroscience, UCLouvain, Brussels, Belgium
- Department of Neurology, Cliniques Universitaires Saint-Luc, Brussels, Belgium
| | | | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- Queen Square Institute of Neurology and Centre for Medical Image Computing, University College London, London, UK
| | - Bernard J Hanseeuw
- Institute of Neuroscience, UCLouvain, Brussels, Belgium
- Department of Neurology, Cliniques Universitaires Saint-Luc, Brussels, Belgium
- Gordon Center for Medical Imaging, Department of Radiology, Mass General Brigham, Boston, MA, USA
- WELBIO Department, WEL Research Institute, Wavre, Belgium
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6
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Mellow ML, Dumuid D, Olds T, Stanford T, Dorrian J, Wade AT, Fripp J, Xia Y, Goldsworthy MR, Karayanidis F, Breakspear MJ, Smith AE. Cross-sectional associations between 24-hour time-use composition, grey matter volume and cognitive function in healthy older adults. Int J Behav Nutr Phys Act 2024; 21:11. [PMID: 38291446 PMCID: PMC10829181 DOI: 10.1186/s12966-023-01557-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 12/28/2023] [Indexed: 02/01/2024] Open
Abstract
BACKGROUND Increasing physical activity (PA) is an effective strategy to slow reductions in cortical volume and maintain cognitive function in older adulthood. However, PA does not exist in isolation, but coexists with sleep and sedentary behaviour to make up the 24-hour day. We investigated how the balance of all three behaviours (24-hour time-use composition) is associated with grey matter volume in healthy older adults, and whether grey matter volume influences the relationship between 24-hour time-use composition and cognitive function. METHODS This cross-sectional study included 378 older adults (65.6 ± 3.0 years old, 123 male) from the ACTIVate study across two Australian sites (Adelaide and Newcastle). Time-use composition was captured using 7-day accelerometry, and T1-weighted magnetic resonance imaging was used to measure grey matter volume both globally and across regions of interest (ROI: frontal lobe, temporal lobe, hippocampi, and lateral ventricles). Pairwise correlations were used to explore univariate associations between time-use variables, grey matter volumes and cognitive outcomes. Compositional data analysis linear regression models were used to quantify associations between ROI volumes and time-use composition, and explore potential associations between the interaction between ROI volumes and time-use composition with cognitive outcomes. RESULTS After adjusting for covariates (age, sex, education), there were no significant associations between time-use composition and any volumetric outcomes. There were significant interactions between time-use composition and frontal lobe volume for long-term memory (p = 0.018) and executive function (p = 0.018), and between time-use composition and total grey matter volume for executive function (p = 0.028). Spending more time in moderate-vigorous PA was associated with better long-term memory scores, but only for those with smaller frontal lobe volume (below the sample mean). Conversely, spending more time in sleep and less time in sedentary behaviour was associated with better executive function in those with smaller total grey matter volume. CONCLUSIONS Although 24-hour time use was not associated with total or regional grey matter independently, total grey matter and frontal lobe grey matter volume moderated the relationship between time-use composition and several cognitive outcomes. Future studies should investigate these relationships longitudinally to assess whether changes in time-use composition correspond to changes in grey matter volume and cognition.
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Affiliation(s)
- Maddison L Mellow
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, Australia.
| | - Dorothea Dumuid
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, Australia
| | - Timothy Olds
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, Australia
| | - Ty Stanford
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, Australia
| | - Jillian Dorrian
- Behaviour-Brain-Body Research Centre, Justice and Society, University of South Australia, Adelaide, Australia
| | - Alexandra T Wade
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, Australia
| | - Jurgen Fripp
- The Australian e-Health Research Centre, CSIRO Health and Biosecurity, Brisbane, Queensland, Australia
| | - Ying Xia
- The Australian e-Health Research Centre, CSIRO Health and Biosecurity, Brisbane, Queensland, Australia
| | - Mitchell R Goldsworthy
- Behaviour-Brain-Body Research Centre, Justice and Society, University of South Australia, Adelaide, Australia
- School of Biomedicine, University of Adelaide, Adelaide, Australia
- Hopwood Centre for Neurobiology, Lifelong Health Theme, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, Australia
| | - Frini Karayanidis
- Functional Neuroimaging Laboratory, School of Psychological Sciences, College of Engineering, Science and the Environment, University of Newcastle, Callaghan, Australia
| | - Michael J Breakspear
- Functional Neuroimaging Laboratory, School of Psychological Sciences, College of Engineering, Science and the Environment, University of Newcastle, Callaghan, Australia
- Discipline of Psychiatry, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW, Australia
| | - Ashleigh E Smith
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, Australia
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7
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Padrela BE, Lorenzini L, Collij LE, García DV, Coomans E, Ingala S, Tomassen J, Deckers Q, Shekari M, de Geus EJC, van de Giessen E, Kate MT, Visser PJ, Barkhof F, Petr J, den Braber A, Mutsaerts HJMM. Genetic, vascular and amyloid components of cerebral blood flow in a preclinical population. J Cereb Blood Flow Metab 2023; 43:1726-1736. [PMID: 37231665 PMCID: PMC10581242 DOI: 10.1177/0271678x231178993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 04/05/2023] [Accepted: 04/09/2023] [Indexed: 05/27/2023]
Abstract
Aging-related cognitive decline can be accelerated by a combination of genetic factors, cardiovascular and cerebrovascular dysfunction, and amyloid-β burden. Whereas cerebral blood flow (CBF) has been studied as a potential early biomarker of cognitive decline, its normal variability in healthy elderly is less known. In this study, we investigated the contribution of genetic, vascular, and amyloid-β components of CBF in a cognitively unimpaired (CU) population of monozygotic older twins. We included 134 participants who underwent arterial spin labeling (ASL) MRI and [18F]flutemetamol amyloid-PET imaging at baseline and after a four-year follow-up. Generalized estimating equations were used to investigate the associations of amyloid burden and white matter hyperintensities with CBF. We showed that, in CU individuals, CBF: 1) has a genetic component, as within-pair similarities in CBF values were moderate and significant (ICC > 0.40); 2) is negatively associated with cerebrovascular damage; and 3) is positively associated with the interaction between cardiovascular risk scores and early amyloid-β burden, which may reflect a vascular compensatory response of CBF to early amyloid-β accumulation. These findings encourage future studies to account for multiple interactions with CBF in disease trajectory analyses.
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Affiliation(s)
- Beatriz E Padrela
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
| | - Luigi Lorenzini
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
| | - Lyduine E Collij
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
| | - David Vállez García
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
| | - Emma Coomans
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
| | - Silvia Ingala
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
| | - Jori Tomassen
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
| | - Quinten Deckers
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
| | - Mahnaz Shekari
- BBRC: Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- Pompeu Fabra University, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Eco JC de Geus
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Elsmarieke van de Giessen
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
| | - Mara ten Kate
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
| | - Pieter Jelle Visser
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
- Queen Square Institute of Neurology and Centre for Medical Image Computing (CMIC), University College London, London, UK
| | - Jan Petr
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
- Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiopharmaceutical Cancer Research, Dresden, Germany
| | - Anouk den Braber
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Henk JMM Mutsaerts
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
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8
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Coughlan G, DeSouza B, Zhukovsky P, Hornberger M, Grady C, Buckley RF. Spatial cognition is associated with levels of phosphorylated-tau and β-amyloid in clinically normal older adults. Neurobiol Aging 2023; 130:124-134. [PMID: 37506550 DOI: 10.1016/j.neurobiolaging.2023.06.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 06/23/2023] [Accepted: 06/24/2023] [Indexed: 07/30/2023]
Abstract
Spatial cognition is associated with Alzheimer's disease (AD) biomarkers in the symptomatic stages of the disease. We investigated whether cerebrospinal fluid (CSF) biomarkers (phosphorylated-tau [p-tau] and β-amyloid) are associated with poorer spatial cognition in clinically normal older adults. Participants were 1875 clinically normal adults (age 67.8 [8.5] years) from the European Prevention of Alzheimer's Dementia Consortium. Mixed effect models assessed the cross-sectional association between p-tau181, β-amyloid1-42 (Aβ1-42) and p-tau181/Aβ1-42 ratio and spatial cognition measured using semi-automated Supermarket Task and the 4 Mountains Task. Levels of p-tau181, Aβ1-42, and p-tau181/Aβ1-42 ratio were significantly associated with spatial cognition scores on both tasks. The p-tau181/Aβ1-42 ratio showed the largest effect sizes (β = -0.04/0.05, p < 0.001). Lower entorhinal cortical volume was associated with poorer outcomes on both tasks (β = 0.06, p < 0.002) and accounted for 18%-22% of the direct association between p-tau181 and spatial cognition scores. In conclusion, degeneration of the entorhinal cortex mediates a significant proportion of the association between p-tau181 and spatial assessments in cognitively normal adults. Future studies should focus on increasing the sensitivity of digital spatial assessments.
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Affiliation(s)
- Gillian Coughlan
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
| | - Brennan DeSouza
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada
| | - Peter Zhukovsky
- Campbell Family Mental Health Research Institute, Centre for Mental Health and Addiction, Toronto, Ontario, Canada
| | - Michael Hornberger
- Norwich Medical School, University of East Anglia, Norwich, United Kingdom
| | - Cheryl Grady
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada; Departments of Psychiatry and Psychology, University of Toronto, Toronto, Ontario, Canada
| | - Rachel F Buckley
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA; Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, Victoria, Australia.
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9
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Collij LE, Farrar G, Valléz García D, Bader I, Shekari M, Lorenzini L, Pemberton H, Altomare D, Pla S, Loor M, Markiewicz P, Yaqub M, Buckley C, Frisoni GB, Nordberg A, Payoux P, Stephens A, Gismondi R, Visser PJ, Ford L, Schmidt M, Birck C, Georges J, Mett A, Walker Z, Boada M, Drzezga A, Vandenberghe R, Hanseeuw B, Jessen F, Schöll M, Ritchie C, Lopes Alves I, Gispert JD, Barkhof F. The amyloid imaging for the prevention of Alzheimer's disease consortium: A European collaboration with global impact. Front Neurol 2023; 13:1063598. [PMID: 36761917 PMCID: PMC9907029 DOI: 10.3389/fneur.2022.1063598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Accepted: 12/08/2022] [Indexed: 01/22/2023] Open
Abstract
Background Amyloid-β (Aβ) accumulation is considered the earliest pathological change in Alzheimer's disease (AD). The Amyloid Imaging to Prevent Alzheimer's Disease (AMYPAD) consortium is a collaborative European framework across European Federation of Pharmaceutical Industries Associations (EFPIA), academic, and 'Small and Medium-sized enterprises' (SME) partners aiming to provide evidence on the clinical utility and cost-effectiveness of Positron Emission Tomography (PET) imaging in diagnostic work-up of AD and to support clinical trial design by developing optimal quantitative methodology in an early AD population. The AMYPAD studies In the Diagnostic and Patient Management Study (DPMS), 844 participants from eight centres across three clinical subgroups (245 subjective cognitive decline, 342 mild cognitive impairment, and 258 dementia) were included. The Prognostic and Natural History Study (PNHS) recruited pre-dementia subjects across 11 European parent cohorts (PCs). Approximately 1600 unique subjects with historical and prospective data were collected within this study. PET acquisition with [18F]flutemetamol or [18F]florbetaben radiotracers was performed and quantified using the Centiloid (CL) method. Results AMYPAD has significantly contributed to the AD field by furthering our understanding of amyloid deposition in the brain and the optimal methodology to measure this process. Main contributions so far include the validation of the dual-time window acquisition protocol to derive the fully quantitative non-displaceable binding potential (BP ND ), assess the value of this metric in the context of clinical trials, improve PET-sensitivity to emerging Aβ burden and utilize its available regional information, establish the quantitative accuracy of the Centiloid method across tracers and support implementation of quantitative amyloid-PET measures in the clinical routine. Future steps The AMYPAD consortium has succeeded in recruiting and following a large number of prospective subjects and setting up a collaborative framework to integrate data across European PCs. Efforts are currently ongoing in collaboration with ARIDHIA and ADDI to harmonize, integrate, and curate all available clinical data from the PNHS PCs, which will become openly accessible to the wider scientific community.
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Affiliation(s)
- Lyduine E. Collij
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, location VUmc, Amsterdam, Netherlands,Amsterdam Neuroscience, Brain Imaging, Amsterdam, Netherlands,*Correspondence: Lyduine E. Collij ✉
| | | | - David Valléz García
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, location VUmc, Amsterdam, Netherlands,Amsterdam Neuroscience, Brain Imaging, Amsterdam, Netherlands
| | - Ilona Bader
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, location VUmc, Amsterdam, Netherlands,Amsterdam Neuroscience, Brain Imaging, Amsterdam, Netherlands
| | | | - Luigi Lorenzini
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, location VUmc, Amsterdam, Netherlands,Amsterdam Neuroscience, Brain Imaging, Amsterdam, Netherlands
| | - Hugh Pemberton
- Centre for Medical Image Computing, and Queen Square Institute of Neurology, UCL, London, United Kingdom
| | - Daniele Altomare
- Laboratory of Neuroimaging of Aging (LANVIE), Université de Genève, Geneva, Switzerland
| | - Sandra Pla
- Synapse Research Management Partners, Barcelona, Spain
| | - Mery Loor
- Synapse Research Management Partners, Barcelona, Spain
| | - Pawel Markiewicz
- Centre for Medical Image Computing, and Queen Square Institute of Neurology, UCL, London, United Kingdom
| | - Maqsood Yaqub
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, location VUmc, Amsterdam, Netherlands
| | | | - Giovanni B. Frisoni
- Laboratory of Neuroimaging of Aging (LANVIE), Université de Genève, Geneva, Switzerland
| | - Agneta Nordberg
- Department of Neurobiology, Care Sciences and Society, Center of Alzheimer Research, Karolinska Institutet, Stockholm, Sweden
| | - Pierre Payoux
- Department of Nuclear Medicine, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
| | - Andrew Stephens
- Life Molecular Imaging GmbH, Berlin, Baden-Württemberg, Germany
| | | | - Pieter Jelle Visser
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, location VUmc, Amsterdam, Netherlands
| | - Lisa Ford
- Janssen Pharmaceutica NV, Beerse, Belgium
| | | | | | | | - Anja Mett
- GE Healthcare, Amersham, United Kingdom
| | - Zuzana Walker
- Centre for Medical Image Computing, and Queen Square Institute of Neurology, UCL, London, United Kingdom
| | - Mercé Boada
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain,Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Alexander Drzezga
- Department of Psychiatry, University Hospital of Cologne, Cologne, North Rhine-Westphalia, Germany
| | - Rik Vandenberghe
- Faculty of Medicine, University Hospitals Leuven, Leuven, Brussels, Belgium
| | - Bernard Hanseeuw
- Institute of Neuroscience (IONS), Université Catholique de Louvain, Brussels, Belgium
| | - Frank Jessen
- Department of Psychiatry, University Hospital of Cologne, Cologne, North Rhine-Westphalia, Germany
| | - Michael Schöll
- Department of Psychiatry and Neurochemistry, University of Gothenburg, Gothenburg, Sweden
| | - Craig Ritchie
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, Scotland, United Kingdom
| | | | - Juan Domingo Gispert
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, location VUmc, Amsterdam, Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, location VUmc, Amsterdam, Netherlands,Amsterdam Neuroscience, Brain Imaging, Amsterdam, Netherlands,Centre for Medical Image Computing, and Queen Square Institute of Neurology, UCL, London, United Kingdom
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10
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Naismith SL, Leng Y, Palmer JR, Lucey BP. Age differences in the association between sleep and Alzheimer's disease biomarkers in the EPAD cohort. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2022; 14:e12380. [PMID: 36447477 PMCID: PMC9695753 DOI: 10.1002/dad2.12380] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 10/19/2022] [Accepted: 10/21/2022] [Indexed: 11/26/2022]
Abstract
Introduction We aimed to determine the independent association between sleep quality and Alzheimer's disease (AD) biomarkers, and whether the associations differ with age. Methods We included 1240 individuals aged ≥50, without dementia from the European Prevention of Alzheimer's Disease v1500.0 dataset. Linear regression was used to examine Pittsburgh Sleep Quality Index (PSQI) scores against cerebrospinal fluid (CSF) phosphorylated tau/β-amyloid ratio (p-tau/Aβ42) for the entire sample and via age tertiles. Models controlled for demographic, clinical, genetic, vascular, and neuroimaging variables. Results For the youngest age tertile, shorter sleep duration and higher sleep efficiency were associated with greater p-tau/Aβ42 ratio. For the oldest tertile, longer sleep latency was associated with greater p-tau/Aβ42. Discussion Differential relationships between sleep and AD pathology depend on age. Short sleep duration and sleep efficiency are relevant in middle age whereas time taken to fall asleep is more closely linked to AD biomarkers in later life. Highlights This study shows age differences in the link between sleep and AD biomarkers.Shorter sleep was associated with greater p-tau/Aβ42 ratio in middle age.The association was independent of genetic, vascular, and neuroimaging markers of AD.
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Affiliation(s)
- Sharon L. Naismith
- School of PsychologyFaculty of ScienceThe University of SydneySydneyNew South WalesAustralia
- CogSleep NHMRC Centre of Research ExcellenceThe University of SydneySydneyNew South WalesAustralia
- Brain and Mind Centre and Charles Perkins CentreThe University of SydneySydneyNew South WalesAustralia
| | - Yue Leng
- Department of Psychiatry and Behavioural SciencesUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Jake R. Palmer
- School of PsychologyFaculty of ScienceThe University of SydneySydneyNew South WalesAustralia
- CogSleep NHMRC Centre of Research ExcellenceThe University of SydneySydneyNew South WalesAustralia
- Brain and Mind Centre and Charles Perkins CentreThe University of SydneySydneyNew South WalesAustralia
| | - Brendan P. Lucey
- Department of NeurologyWashington University School of MedicineSt LouisMissouriUSA
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11
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Feigin A, Evans EE, Fisher TL, Leonard JE, Smith ES, Reader A, Mishra V, Manber R, Walters KA, Kowarski L, Oakes D, Siemers E, Kieburtz KD, Zauderer M. Pepinemab antibody blockade of SEMA4D in early Huntington's disease: a randomized, placebo-controlled, phase 2 trial. Nat Med 2022; 28:2183-2193. [PMID: 35941373 PMCID: PMC9361919 DOI: 10.1038/s41591-022-01919-8] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 06/27/2022] [Indexed: 12/18/2022]
Abstract
SIGNAL is a multicenter, randomized, double-blind, placebo-controlled phase 2 study (no. NCT02481674) established to evaluate pepinemab, a semaphorin 4D (SEMA4D)-blocking antibody, for treatment of Huntington's disease (HD). The trial enrolled a total of 265 HD gene expansion carriers with either early manifest (EM, n = 179) or late prodromal (LP, n = 86) HD, randomized (1:1) to receive 18 monthly infusions of pepinemab (n = 91 EM, 41 LP) or placebo (n = 88 EM, 45 LP). Pepinemab was generally well tolerated, with a relatively low frequency of serious treatment-emergent adverse events of 5% with pepinemab compared to 9% with placebo, including both EM and LP participants. Coprimary efficacy outcome measures consisted of assessments within the EM cohort of (1) a two-item HD cognitive assessment family comprising one-touch stockings of Cambridge (OTS) and paced tapping (PTAP) and (2) clinical global impression of change (CGIC). The differences between pepinemab and placebo in mean change (95% confidence interval) from baseline at month 17 for OTS were -1.98 (-4.00, 0.05) (one-sided P = 0.028), and for PTAP 1.43 (-0.37, 3.23) (one-sided P = 0.06). Similarly, because a significant treatment effect was not observed for CGIC, the coprimary endpoint, the study did not meet its prespecified primary outcomes. Nevertheless, a number of other positive outcomes and post hoc subgroup analyses-including additional cognitive measures and volumetric magnetic resonance imaging and fluorodeoxyglucose-positron-emission tomography imaging assessments-provide rationale and direction for the design of a phase 3 study and encourage the continued development of pepinemab in patients diagnosed with EM HD.
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Affiliation(s)
- Andrew Feigin
- New York University Langone Health and The Marlene and Paolo Fresco Institute for Parkinson's and Movement Disorders, New York, NY, USA
| | | | | | | | | | | | | | | | | | - Lisa Kowarski
- WCG Statistics Collaborative, Inc., Washington, DC, USA
| | - David Oakes
- University of Rochester Medical Center, Rochester, NY, USA
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12
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The Effect of Self-Paced Exercise Intensity and Cardiorespiratory Fitness on Frontal Grey Matter Volume in Cognitively Normal Older Adults: A Randomised Controlled Trial. J Int Neuropsychol Soc 2022; 28:902-915. [PMID: 34549700 DOI: 10.1017/s1355617721001132] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Exercise has been found to be important in maintaining neurocognitive health. However, the effect of exercise intensity level remains relatively underexplored. Thus, to test the hypothesis that self-paced high-intensity exercise and cardiorespiratory fitness (peak aerobic capacity; VO2peak) increase grey matter (GM) volume, we examined the effect of a 6-month exercise intervention on frontal lobe GM regions that support the executive functions in older adults. METHODS Ninety-eight cognitively normal participants (age = 69.06 ± 5.2 years; n = 54 female) were randomised into either a self-paced high- or moderate-intensity cycle-based exercise intervention group, or a no-intervention control group. Participants underwent magnetic resonance imaging and fitness assessment pre-intervention, immediately post-intervention, and 12-months post-intervention. RESULTS The intervention was found to increase fitness in the exercise groups, as compared with the control group (F = 9.88, p = <0.001). Changes in pre-to-post-intervention fitness were associated with increased volume in the right frontal lobe (β = 0.29, p = 0.036, r = 0.27), right supplementary motor area (β = 0.30, p = 0.031, r = 0.29), and both right (β = 0.32, p = 0.034, r = 0.30) and left gyrus rectus (β = 0.30, p = 0.037, r = 0.29) for intervention, but not control participants. No differences in volume were observed across groups. CONCLUSIONS At an aggregate level, six months of self-paced high- or moderate-intensity exercise did not increase frontal GM volume. However, experimentally-induced changes in individual cardiorespiratory fitness was positively associated with frontal GM volume in our sample of older adults. These results provide evidence of individual variability in exercise-induced fitness on brain structure.
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13
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Romaniuk M, Xia Y, Fisher G, Pannek K, Fripp J, Evans J, Rose S. The relationship between chronic PTSD, cortical volumetry and white matter microstructure among Australian combat veterans. Mil Med Res 2022; 9:50. [PMID: 36114591 PMCID: PMC9482182 DOI: 10.1186/s40779-022-00413-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 08/30/2022] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Posttraumatic stress disorder (PTSD) has been associated with volumetric and white matter microstructural changes among general and veteran populations. However, regions implicated have greatly varied and often conflict between studies, potentially due to confounding comorbidities within samples. This study compared grey matter volume and white matter microstructure among Australian combat veterans with and without a lifetime diagnosis of PTSD, in a homogenous sample assessed for known confounding comorbidities. METHODS Sixty-eight male trauma-exposed veterans (16 PTSD-diagnosed; mean age 69 years) completed a battery of psychometric assessments and underwent magnetic resonance and diffusion tensor imaging. Analyses included tract-based spatial statistics, voxel-wise analyses, diffusion connectome-based group-wise analysis, and volumetric analysis. RESULTS Significantly smaller grey matter volumes were observed in the left prefrontal cortex (P = 0.026), bilateral middle frontal gyrus (P = 0.021), and left anterior insula (P = 0.048) in the PTSD group compared to controls. Significant negative correlations were found between PTSD symptom severity and fractional anisotropy values in the left corticospinal tract (R2 = 0.34, P = 0.024) and left inferior cerebellar peduncle (R2 = 0.62, P = 0.016). No connectome-based differences in white matter properties were observed. CONCLUSIONS Findings from this study reinforce reports of white matter alterations, as indicated by reduced fractional anisotropy values, in relation to PTSD symptom severity, as well as patterns of reduced volume in the prefrontal cortex. These results contribute to the developing profile of neuroanatomical differences uniquely attributable to veterans who suffer from chronic PTSD.
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Affiliation(s)
- Madeline Romaniuk
- Gallipoli Medical Research Foundation, Greenslopes Private Hospital, Greenslopes, 4120, Australia. .,Faculty of Health and Behavioural Sciences, The University of Queensland, Saint Lucia, 4067, Australia.
| | - Ying Xia
- The Australian E-Health Research Centre, CSIRO Health and Biosecurity, Herston, 4029, Australia
| | - Gina Fisher
- Gallipoli Medical Research Foundation, Greenslopes Private Hospital, Greenslopes, 4120, Australia
| | - Kerstin Pannek
- The Australian E-Health Research Centre, CSIRO Health and Biosecurity, Herston, 4029, Australia
| | - Jurgen Fripp
- The Australian E-Health Research Centre, CSIRO Health and Biosecurity, Herston, 4029, Australia
| | - Justine Evans
- Gallipoli Medical Research Foundation, Greenslopes Private Hospital, Greenslopes, 4120, Australia
| | - Stephen Rose
- The Australian E-Health Research Centre, CSIRO Health and Biosecurity, Herston, 4029, Australia
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14
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Lorenzini L, Ansems LT, Lopes Alves I, Ingala S, Vállez García D, Tomassen J, Sudre C, Salvadó G, Shekari M, Operto G, Brugulat-Serrat A, Sánchez-Benavides G, ten Kate M, Tijms B, Wink AM, Mutsaerts HJMM, den Braber A, Visser PJ, van Berckel BNM, Gispert JD, Barkhof F, Collij LE. Regional associations of white matter hyperintensities and early cortical amyloid pathology. Brain Commun 2022; 4:fcac150. [PMID: 35783557 PMCID: PMC9246276 DOI: 10.1093/braincomms/fcac150] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 04/11/2022] [Accepted: 06/09/2022] [Indexed: 11/13/2022] Open
Abstract
White matter hyperintensities (WMHs) have a heterogeneous aetiology, associated with both vascular risk factors and amyloidosis due to Alzheimer's disease. While spatial distribution of both amyloid and WM lesions carry important information for the underlying pathogenic mechanisms, the regional relationship between these two pathologies and their joint contribution to early cognitive deterioration remains largely unexplored. We included 662 non-demented participants from three Amyloid Imaging to Prevent Alzheimer's disease (AMYPAD)-affiliated cohorts: EPAD-LCS (N = 176), ALFA+ (N = 310), and EMIF-AD PreclinAD Twin60++ (N = 176). Using PET imaging, cortical amyloid burden was assessed regionally within early accumulating regions (medial orbitofrontal, precuneus, and cuneus) and globally, using the Centiloid method. Regional WMH volume was computed using Bayesian Model Selection. Global associations between WMH, amyloid, and cardiovascular risk scores (Framingham and CAIDE) were assessed using linear models. Partial least square (PLS) regression was used to identify regional associations. Models were adjusted for age, sex, and APOE-e4 status. Individual PLS scores were then related to cognitive performance in 4 domains (attention, memory, executive functioning, and language). While no significant global association was found, the PLS model yielded two components of interest. In the first PLS component, a fronto-parietal WMH pattern was associated with medial orbitofrontal-precuneal amyloid, vascular risk, and age. Component 2 showed a posterior WMH pattern associated with precuneus-cuneus amyloid, less related to age or vascular risk. Component 1 was associated with lower performance in all cognitive domains, while component 2 only with worse memory. In a large pre-dementia population, we observed two distinct patterns of regional associations between WMH and amyloid burden, and demonstrated their joint influence on cognitive processes. These two components could reflect the existence of vascular-dependent and -independent manifestations of WMH-amyloid regional association that might be related to distinct primary pathophysiology.
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Affiliation(s)
- Luigi Lorenzini
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Loes T Ansems
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Isadora Lopes Alves
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Silvia Ingala
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - David Vállez García
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Jori Tomassen
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Carole Sudre
- Centre for Medical Image Computing (CMIC), Departments of Medical Physics & Biomedical Engineering and Computer Science, University College London, UK
- MRC Unit for Lifelong Health and Ageing - University CollegeLondon, UK
- School of Biomedical Engineering, King’s College LondonUK
| | - Gemma Salvadó
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Mahnaz Shekari
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
| | - Gregory Operto
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad Y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - Anna Brugulat-Serrat
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad Y Envejecimiento Saludable (CIBERFES), Madrid, Spain
- Atlantic Fellow for Equity in Brain Health at the University of California San Francisco, SanFrancisco, California, USA
| | - Gonzalo Sánchez-Benavides
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad Y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - Mara ten Kate
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience, Amsterdam, The Netherlands
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Betty Tijms
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Alle Meije Wink
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Henk J M M Mutsaerts
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Anouk den Braber
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Department. of Biological Psychology, Vrije Universiteit Amsterdam, Neuroscience Amsterdam, Amsterdam, The Netherlands
| | - Pieter Jelle Visser
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Bart N M van Berckel
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Juan Domingo Gispert
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- Centro de Investigación Biomédica en Red Bioingeniería, Biomateriales Y Nanomedicina, Madrid, Spain
| | - Frederik Barkhof
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience, Amsterdam, The Netherlands
- Queen Square Institute of Neurology and Centre for Medical Image Computing, University College London, London, UK
| | - Lyduine E Collij
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience, Amsterdam, The Netherlands
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15
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Xia Y, Eeles E, Fripp J, Pinsker D, Thomas P, Latter M, Doré V, Fazlollahi A, Bourgeat P, Villemagne VL, Coulson EJ, Rose S. Reduced cortical cholinergic innervation measured using [ 18F]-FEOBV PET imaging correlates with cognitive decline in mild cognitive impairment. Neuroimage Clin 2022; 34:102992. [PMID: 35344804 PMCID: PMC8958543 DOI: 10.1016/j.nicl.2022.102992] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2021] [Revised: 03/06/2022] [Accepted: 03/22/2022] [Indexed: 12/12/2022]
Abstract
Topographic FEOBV binding correlates with domain-specific cognitive performance. Global and regional reductions in cholinergic innervation are observed in MCI. Global FEOBV SUVR is associated with basal forebrain and hippocampal volumes. Our results provide proof of concept for FEOBV PET to assess cholinergic terminal integrity.
Dysfunction of the cholinergic basal forebrain (BF) neurotransmitter system, including cholinergic axon denervation of the cortex, plays an important role in cognitive decline and dementia. A validated method to directly quantify cortical cholinergic terminal integrity enables exploration of the involvement of this system in diverse cognitive profiles associated with dementia, particularly at a prodromal stage. In this study, we used the radiotracer [18F]-fluoroethoxybenzovesamicol (FEOBV) as a direct measure of cholinergic terminal integrity and investigated its value for the assessment of cholinergic denervation in the cortex and associated cognitive deficits. Eighteen participants (8 with mild cognitive impairment (MCI) and 10 cognitively unimpaired controls) underwent neuropsychological assessment and brain imaging using FEOBV and [18F]-florbetaben for amyloid-β imaging. The MCI group showed a significant global reduction of FEOBV retention in the cortex and in the parietal and occipital cortices specifically compared to the control group. The global cortical FEOBV retention of all participants positively correlated with the BF, hippocampus and grey matter volumes, but no association was found between the global FEOBV retention and amyloid-β status. Topographic profiles from voxel-wise analysis of FEOBV images revealed significant positive correlations with the cognitive domains associated with the underlying cortical areas. Overlapping profiles of decreased FEOBV were identified in correlation with impairment in executive function, attention and language, which covered the anterior cingulate gyrus, olfactory cortex, calcarine cortex, middle temporal gyrus and caudate nucleus. However, the absence of cortical atrophy in these areas suggested that reduced cholinergic terminal integrity in the cortex is an important factor underlying the observed cognitive decline in early dementia. Our results provide support for the utility and validity of FEOBV PET for quantitative assessment of region-specific cholinergic terminal integrity that could potentially be used for early detection of cholinergic dysfunction in dementia following further validation in larger cohorts.
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Affiliation(s)
- Ying Xia
- The Australian e-Health Research Centre, CSIRO Health and Biosecurity, Brisbane, QLD, Australia.
| | - Eamonn Eeles
- Internal Medicine Service, The Prince Charles Hospital, Brisbane, QLD, Australia; School of Medicine, Northside Clinical School, The Prince Charles Hospital, Brisbane, QLD, Australia; Dementia & Neuro Mental Health Research Unit, UQCCR, Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia
| | - Jurgen Fripp
- The Australian e-Health Research Centre, CSIRO Health and Biosecurity, Brisbane, QLD, Australia
| | - Donna Pinsker
- Internal Medicine Service, The Prince Charles Hospital, Brisbane, QLD, Australia; School of Psychology, The University of Queensland, Brisbane, QLD, Australia
| | - Paul Thomas
- Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia
| | - Melissa Latter
- Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia
| | - Vincent Doré
- The Australian e-Health Research Centre, CSIRO Health and Biosecurity, Brisbane, QLD, Australia; Austin Health, Melbourne, VIC, Australia
| | - Amir Fazlollahi
- The Australian e-Health Research Centre, CSIRO Health and Biosecurity, Brisbane, QLD, Australia; Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Pierrick Bourgeat
- The Australian e-Health Research Centre, CSIRO Health and Biosecurity, Brisbane, QLD, Australia
| | - Victor L Villemagne
- Austin Health, Melbourne, VIC, Australia; Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Elizabeth J Coulson
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia; School of Biomedical Sciences, The University of Queensland, Brisbane, QLD, Australia
| | - Stephen Rose
- The Australian e-Health Research Centre, CSIRO Health and Biosecurity, Brisbane, QLD, Australia
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16
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Heeman F, Yaqub M, Hendriks J, van Berckel BNM, Collij LE, Gray KR, Manber R, Wolz R, Garibotto V, Wimberley C, Ritchie C, Barkhof F, Gispert JD, Vállez García D, Lopes Alves I, Lammertsma AA. Impact of cerebral blood flow and amyloid load on SUVR bias. EJNMMI Res 2022; 12:29. [PMID: 35553267 PMCID: PMC9098761 DOI: 10.1186/s13550-022-00898-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 04/25/2022] [Indexed: 11/17/2022] Open
Abstract
Background Despite its widespread use, the semi-quantitative standardized uptake value ratio (SUVR) may be biased compared with the distribution volume ratio (DVR). This bias may be partially explained by changes in cerebral blood flow (CBF) and is likely to be also dependent on the extent of the underlying amyloid-β (Aβ) burden. This study aimed to compare SUVR with DVR and to evaluate the effects of underlying Aβ burden and CBF on bias in SUVR in mainly cognitively unimpaired participants. Participants were scanned according to a dual-time window protocol, with either [18F]flutemetamol (N = 90) or [18F]florbetaben (N = 31). The validated basisfunction-based implementation of the two-step simplified reference tissue model was used to derive DVR and R1 parametric images, and SUVR was calculated from 90 to 110 min post-injection, all with the cerebellar grey matter as reference tissue. First, linear regression and Bland–Altman analyses were used to compare (regional) SUVR with DVR. Then, generalized linear models were applied to evaluate whether (bias in) SUVR relative to DVR could be explained by R1 for the global cortical average (GCA), precuneus, posterior cingulate, and orbitofrontal region. Results Despite high correlations (GCA: R2 ≥ 0.85), large overestimation and proportional bias of SUVR relative to DVR was observed. Negative associations were observed between both SUVR or SUVRbias and R1, albeit non-significant. Conclusion The present findings demonstrate that bias in SUVR relative to DVR is strongly related to underlying Aβ burden. Furthermore, in a cohort consisting mainly of cognitively unimpaired individuals, the effect of relative CBF on bias in SUVR appears limited. EudraCT Number: 2018-002277-22, registered on: 25-06-2018. Supplementary Information The online version contains supplementary material available at 10.1186/s13550-022-00898-8.
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Affiliation(s)
- Fiona Heeman
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
| | - Maqsood Yaqub
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Janine Hendriks
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Bart N M van Berckel
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Lyduine E Collij
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | | | | | | | - Valentina Garibotto
- NIMTLab, Faculty of Medicine, Geneva University, Geneva, Switzerland.,Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospitals, Geneva, Switzerland
| | - Catriona Wimberley
- Edinburgh Imaging, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Craig Ritchie
- Edinburgh Imaging, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Frederik Barkhof
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.,UCL, Institutes of Neurology and Healthcare Engineering, London, UK
| | - Juan Domingo Gispert
- Barcelonaβeta Brain Research Centre, Pasqual Maragall Foundation, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain.,Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - David Vállez García
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Isadora Lopes Alves
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Adriaan A Lammertsma
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
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17
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Huizinga W, Poot DHJ, Vinke EJ, Wenzel F, Bron EE, Toussaint N, Ledig C, Vrooman H, Ikram MA, Niessen WJ, Vernooij MW, Klein S. Differences Between MR Brain Region Segmentation Methods: Impact on Single-Subject Analysis. Front Big Data 2021; 4:577164. [PMID: 34723175 PMCID: PMC8552517 DOI: 10.3389/fdata.2021.577164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2020] [Accepted: 05/21/2021] [Indexed: 12/03/2022] Open
Abstract
For the segmentation of magnetic resonance brain images into anatomical regions, numerous fully automated methods have been proposed and compared to reference segmentations obtained manually. However, systematic differences might exist between the resulting segmentations, depending on the segmentation method and underlying brain atlas. This potentially results in sensitivity differences to disease and can further complicate the comparison of individual patients to normative data. In this study, we aim to answer two research questions: 1) to what extent are methods interchangeable, as long as the same method is being used for computing normative volume distributions and patient-specific volumes? and 2) can different methods be used for computing normative volume distributions and assessing patient-specific volumes? To answer these questions, we compared volumes of six brain regions calculated by five state-of-the-art segmentation methods: Erasmus MC (EMC), FreeSurfer (FS), geodesic information flows (GIF), multi-atlas label propagation with expectation–maximization (MALP-EM), and model-based brain segmentation (MBS). We applied the methods on 988 non-demented (ND) subjects and computed the correlation (PCC-v) and absolute agreement (ICC-v) on the volumes. For most regions, the PCC-v was good (>0.75), indicating that volume differences between methods in ND subjects are mainly due to systematic differences. The ICC-v was generally lower, especially for the smaller regions, indicating that it is essential that the same method is used to generate normative and patient data. To evaluate the impact on single-subject analysis, we also applied the methods to 42 patients with Alzheimer’s disease (AD). In the case where the normative distributions and the patient-specific volumes were calculated by the same method, the patient’s distance to the normative distribution was assessed with the z-score. We determined the diagnostic value of this z-score, which showed to be consistent across methods. The absolute agreement on the AD patients’ z-scores was high for regions of thalamus and putamen. This is encouraging as it indicates that the studied methods are interchangeable for these regions. For regions such as the hippocampus, amygdala, caudate nucleus and accumbens, and globus pallidus, not all method combinations showed a high ICC-z. Whether two methods are indeed interchangeable should be confirmed for the specific application and dataset of interest.
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Affiliation(s)
- W Huizinga
- Biomedical Imaging Group Rotterdam, Department of Radiology & Nuclear Medicine and Medical Informatics, Erasmus MC, Rotterdam, Netherlands
| | - D H J Poot
- Biomedical Imaging Group Rotterdam, Department of Radiology & Nuclear Medicine and Medical Informatics, Erasmus MC, Rotterdam, Netherlands
| | - E J Vinke
- Department of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, Netherlands.,Department of Epidemiology, Erasmus MC, Rotterdam, Netherlands
| | - F Wenzel
- Philips Research Hamburg, Hamburg, Germany
| | - E E Bron
- Biomedical Imaging Group Rotterdam, Department of Radiology & Nuclear Medicine and Medical Informatics, Erasmus MC, Rotterdam, Netherlands
| | - N Toussaint
- School of Biomedical Engineering, King's College London, London, United Kingdom
| | - C Ledig
- Biomedical Image Analysis Group, Department of Computing, Imperial College London, London, United Kingdom
| | - H Vrooman
- Biomedical Imaging Group Rotterdam, Department of Radiology & Nuclear Medicine and Medical Informatics, Erasmus MC, Rotterdam, Netherlands
| | - M A Ikram
- Department of Epidemiology, Erasmus MC, Rotterdam, Netherlands
| | - W J Niessen
- Biomedical Imaging Group Rotterdam, Department of Radiology & Nuclear Medicine and Medical Informatics, Erasmus MC, Rotterdam, Netherlands.,Quantitative Imaging Group, Department of Imaging Physics, Faculty of Applied Sciences, Delft University of Technology, Delft, Netherlands
| | - M W Vernooij
- Department of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, Netherlands.,Department of Epidemiology, Erasmus MC, Rotterdam, Netherlands
| | - S Klein
- Biomedical Imaging Group Rotterdam, Department of Radiology & Nuclear Medicine and Medical Informatics, Erasmus MC, Rotterdam, Netherlands
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18
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Howlett J, Hill SM, Ritchie CW, Tom BDM. Disease Modelling of Cognitive Outcomes and Biomarkers in the European Prevention of Alzheimer's Dementia Longitudinal Cohort. Front Big Data 2021; 4:676168. [PMID: 34490422 PMCID: PMC8417903 DOI: 10.3389/fdata.2021.676168] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Accepted: 07/30/2021] [Indexed: 12/04/2022] Open
Abstract
A key challenge for the secondary prevention of Alzheimer’s dementia is the need to identify individuals early on in the disease process through sensitive cognitive tests and biomarkers. The European Prevention of Alzheimer’s Dementia (EPAD) consortium recruited participants into a longitudinal cohort study with the aim of building a readiness cohort for a proof-of-concept clinical trial and also to generate a rich longitudinal data-set for disease modelling. Data have been collected on a wide range of measurements including cognitive outcomes, neuroimaging, cerebrospinal fluid biomarkers, genetics and other clinical and environmental risk factors, and are available for 1,828 eligible participants at baseline, 1,567 at 6 months, 1,188 at one-year follow-up, 383 at 2 years, and 89 participants at three-year follow-up visit. We novelly apply state-of-the-art longitudinal modelling and risk stratification approaches to these data in order to characterise disease progression and biological heterogeneity within the cohort. Specifically, we use longitudinal class-specific mixed effects models to characterise the different clinical disease trajectories and a semi-supervised Bayesian clustering approach to explore whether participants can be stratified into homogeneous subgroups that have different patterns of cognitive functioning evolution, while also having subgroup-specific profiles in terms of baseline biomarkers and longitudinal rate of change in biomarkers.
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Affiliation(s)
- James Howlett
- MRC Biostatistics Unit, University of Cambridge, Cambridge, United Kingdom
| | - Steven M Hill
- MRC Biostatistics Unit, University of Cambridge, Cambridge, United Kingdom
| | - Craig W Ritchie
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Brian D M Tom
- MRC Biostatistics Unit, University of Cambridge, Cambridge, United Kingdom
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19
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Safety and efficacy of anti-tau monoclonal antibody gosuranemab in progressive supranuclear palsy: a phase 2, randomized, placebo-controlled trial. Nat Med 2021; 27:1451-1457. [PMID: 34385707 DOI: 10.1038/s41591-021-01455-x] [Citation(s) in RCA: 62] [Impact Index Per Article: 20.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2020] [Accepted: 06/28/2021] [Indexed: 02/07/2023]
Abstract
A randomized, double-blind, placebo-controlled, 52-week study (no. NCT03068468) evaluated gosuranemab, an anti-tau monoclonal antibody, in the treatment of progressive supranuclear palsy (PSP). In total, 486 participants dosed were assigned to either gosuranemab (n = 321) or placebo (n = 165). Efficacy was not demonstrated on adjusted mean change of PSP Rating Scale score at week 52 between gosuranemab and placebo (10.4 versus 10.6, P = 0.85, primary endpoint), or at secondary endpoints, resulting in discontinuation of the open-label, long-term extension. Unbound N-terminal tau in cerebrospinal fluid decreased by 98% with gosuranemab and increased by 11% with placebo (P < 0.0001). Incidences of adverse events and deaths were similar between groups. This well-powered study suggests that N-terminal tau neutralization does not translate into clinical efficacy.
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20
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Lee M, Kim J, EY Kim R, Kim HG, Oh SW, Lee MK, Wang SM, Kim NY, Kang DW, Rieu Z, Yong JH, Kim D, Lim HK. Split-Attention U-Net: A Fully Convolutional Network for Robust Multi-Label Segmentation from Brain MRI. Brain Sci 2020; 10:E974. [PMID: 33322640 PMCID: PMC7764312 DOI: 10.3390/brainsci10120974] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Revised: 11/30/2020] [Accepted: 12/07/2020] [Indexed: 02/03/2023] Open
Abstract
Multi-label brain segmentation from brain magnetic resonance imaging (MRI) provides valuable structural information for most neurological analyses. Due to the complexity of the brain segmentation algorithm, it could delay the delivery of neuroimaging findings. Therefore, we introduce Split-Attention U-Net (SAU-Net), a convolutional neural network with skip pathways and a split-attention module that segments brain MRI scans. The proposed architecture employs split-attention blocks, skip pathways with pyramid levels, and evolving normalization layers. For efficient training, we performed pre-training and fine-tuning with the original and manually modified FreeSurfer labels, respectively. This learning strategy enables involvement of heterogeneous neuroimaging data in the training without the need for many manual annotations. Using nine evaluation datasets, we demonstrated that SAU-Net achieved better segmentation accuracy with better reliability that surpasses those of state-of-the-art methods. We believe that SAU-Net has excellent potential due to its robustness to neuroanatomical variability that would enable almost instantaneous access to accurate neuroimaging biomarkers and its swift processing runtime compared to other methods investigated.
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Affiliation(s)
- Minho Lee
- Research Institute, NEUROPHET Inc., Seoul 06247, Korea; (M.L.); (R.E.K.); (Z.R.); (J.H.Y.)
| | - JeeYoung Kim
- Department of Radiology, Eunpyeong St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 03312, Korea; (J.K.); (H.G.K.); (S.W.O.)
| | - Regina EY Kim
- Research Institute, NEUROPHET Inc., Seoul 06247, Korea; (M.L.); (R.E.K.); (Z.R.); (J.H.Y.)
- Institute of Human Genomic Study, College of Medicine, Korea University, Ansan 15355, Korea
- Department of Psychiatry, University of Iowa, Iowa City, IA 52242, USA
| | - Hyun Gi Kim
- Department of Radiology, Eunpyeong St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 03312, Korea; (J.K.); (H.G.K.); (S.W.O.)
| | - Se Won Oh
- Department of Radiology, Eunpyeong St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 03312, Korea; (J.K.); (H.G.K.); (S.W.O.)
| | - Min Kyoung Lee
- Department of Radiology, Yeouido St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 07345, Korea;
| | - Sheng-Min Wang
- Department of Psychiatry, Yeouido St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 07345, Korea; (S.-M.W.); (N.-Y.K.)
| | - Nak-Young Kim
- Department of Psychiatry, Yeouido St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 07345, Korea; (S.-M.W.); (N.-Y.K.)
| | - Dong Woo Kang
- Department of Psychiatry, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea;
| | - ZunHyan Rieu
- Research Institute, NEUROPHET Inc., Seoul 06247, Korea; (M.L.); (R.E.K.); (Z.R.); (J.H.Y.)
| | - Jung Hyun Yong
- Research Institute, NEUROPHET Inc., Seoul 06247, Korea; (M.L.); (R.E.K.); (Z.R.); (J.H.Y.)
| | - Donghyeon Kim
- Research Institute, NEUROPHET Inc., Seoul 06247, Korea; (M.L.); (R.E.K.); (Z.R.); (J.H.Y.)
| | - Hyun Kook Lim
- Department of Psychiatry, Yeouido St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 07345, Korea; (S.-M.W.); (N.-Y.K.)
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21
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Nascimento JC, Carneiro G. One Shot Segmentation: Unifying Rigid Detection and Non-Rigid Segmentation Using Elastic Regularization. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 2020; 42:3054-3070. [PMID: 31217094 DOI: 10.1109/tpami.2019.2922959] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
This paper proposes a novel approach for the non-rigid segmentation of deformable objects in image sequences, which is based on one-shot segmentation that unifies rigid detection and non-rigid segmentation using elastic regularization. The domain of application is the segmentation of a visual object that temporally undergoes a rigid transformation (e.g., affine transformation) and a non-rigid transformation (i.e., contour deformation). The majority of segmentation approaches to solve this problem are generally based on two steps that run in sequence: a rigid detection, followed by a non-rigid segmentation. In this paper, we propose a new approach, where both the rigid and non-rigid segmentation are performed in a single shot using a sparse low-dimensional manifold that represents the visual object deformations. Given the multi-modality of these deformations, the manifold partitions the training data into several patches, where each patch provides a segmentation proposal during the inference process. These multiple segmentation proposals are merged using the classification results produced by deep belief networks (DBN) that compute the confidence on each segmentation proposal. Thus, an ensemble of DBN classifiers is used for estimating the final segmentation. Compared to current methods proposed in the field, our proposed approach is advantageous in four aspects: (i) it is a unified framework to produce rigid and non-rigid segmentations; (ii) it uses an ensemble classification process, which can help the segmentation robustness; (iii) it provides a significant reduction in terms of the number of dimensions of the rigid and non-rigid segmentations search spaces, compared to current approaches that divide these two problems; and (iv) this lower dimensionality of the search space can also reduce the need for large annotated training sets to be used for estimating the DBN models. Experiments on the problem of left ventricle endocardial segmentation from ultrasound images, and lip segmentation from frontal facial images using the extended Cohn-Kanade (CK+) database, demonstrate the potential of the methodology through qualitative and quantitative evaluations, and the ability to reduce the search and training complexities without a significant impact on the segmentation accuracy.
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22
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Utsumi T, Kodaka F, Maikusa N, Yamazaki R, Shigeta M. Inter-method reliability between automatic region of interest analytic application with multi-atlas segmentation and FreeSurfer. Psychogeriatrics 2020; 20:699-705. [PMID: 32510746 DOI: 10.1111/psyg.12567] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Revised: 04/29/2020] [Accepted: 05/04/2020] [Indexed: 12/01/2022]
Abstract
AIM Alzheimer's disease (AD) is a progressive neurodegenerative disease characterized by the aggregation of amyloid-β and phosphorylated tau proteins. Magnetic resonance imaging (MRI) is a useful means of detecting hippocampal atrophy. However, instead of visual inspection, objective and time-saving tools for automated region of interest (ROI) analysis are needed. Advances in MRI segmentation techniques have enabled a multi-atlas approach with fewer errors than a conventional single-atlas approach. To support the clinical application of multi-atlas segmentation, an automated ROI analytic application consisting of multi-atlas segmentation with joint label fusion and corrective learning was developed: T-Proto. In the present study, we evaluated the inter-method reliability between T-Proto and a reference ROI analytic software, FreeSurfer. METHODS This was a database study. MRI data from 30 patients with AD were selected, and the inter-method reliability was assessed in terms of the intra-class correlation coefficient (ICC). A post-hoc comparison according to the severity of AD was also performed. RESULTS Almost all the regional volumes estimated with T-Proto were smaller than those estimated with FreeSurfer. The regional ICC values between the two methods showed moderate to excellent reliability. A post-hoc comparison revealed a similar t-value and effect size between both methods for the hippocampus. CONCLUSION In the present study, we showed that automated regional analysis using T-Proto was reliable in the hippocampus in terms of ICC, compared with FreeSurfer.
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Affiliation(s)
- Tomohiro Utsumi
- Department of Psychiatry, The Jikei University School of Medicine, Tokyo, Japan
| | - Fumitoshi Kodaka
- Department of Psychiatry, The Jikei University School of Medicine, Tokyo, Japan
| | - Norihide Maikusa
- Department of Psychiatry, The Jikei University School of Medicine, Tokyo, Japan
| | - Ryuichi Yamazaki
- Department of Psychiatry, The Jikei University School of Medicine, Tokyo, Japan
| | - Masahiro Shigeta
- Department of Psychiatry, The Jikei University School of Medicine, Tokyo, Japan
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23
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Yamanakkanavar N, Choi JY, Lee B. MRI Segmentation and Classification of Human Brain Using Deep Learning for Diagnosis of Alzheimer's Disease: A Survey. SENSORS (BASEL, SWITZERLAND) 2020; 20:E3243. [PMID: 32517304 PMCID: PMC7313699 DOI: 10.3390/s20113243] [Citation(s) in RCA: 53] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Revised: 05/25/2020] [Accepted: 06/03/2020] [Indexed: 02/07/2023]
Abstract
Many neurological diseases and delineating pathological regions have been analyzed, and the anatomical structure of the brain researched with the aid of magnetic resonance imaging (MRI). It is important to identify patients with Alzheimer's disease (AD) early so that preventative measures can be taken. A detailed analysis of the tissue structures from segmented MRI leads to a more accurate classification of specific brain disorders. Several segmentation methods to diagnose AD have been proposed with varying complexity. Segmentation of the brain structure and classification of AD using deep learning approaches has gained attention as it can provide effective results over a large set of data. Hence, deep learning methods are now preferred over state-of-the-art machine learning methods. We aim to provide an outline of current deep learning-based segmentation approaches for the quantitative analysis of brain MRI for the diagnosis of AD. Here, we report how convolutional neural network architectures are used to analyze the anatomical brain structure and diagnose AD, discuss how brain MRI segmentation improves AD classification, describe the state-of-the-art approaches, and summarize their results using publicly available datasets. Finally, we provide insight into current issues and discuss possible future research directions in building a computer-aided diagnostic system for AD.
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Affiliation(s)
- Nagaraj Yamanakkanavar
- Department of Information and Communications Engineering, Chosun University, Gwangju 61452, Korea;
| | - Jae Young Choi
- Division of Computer & Electronic Systems Engineering, Hankuk University of Foreign Studies, Yongin 17035, Korea;
| | - Bumshik Lee
- Department of Information and Communications Engineering, Chosun University, Gwangju 61452, Korea;
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24
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Lopes Alves I, Collij LE, Altomare D, Frisoni GB, Saint‐Aubert L, Payoux P, Kivipelto M, Jessen F, Drzezga A, Leeuwis A, Wink AM, Visser PJ, van Berckel BN, Scheltens P, Gray KR, Wolz R, Stephens A, Gismondi R, Buckely C, Gispert JD, Schmidt M, Ford L, Ritchie C, Farrar G, Barkhof F, Molinuevo JL. Quantitative amyloid PET in Alzheimer's disease: the AMYPAD prognostic and natural history study. Alzheimers Dement 2020; 16:750-758. [PMID: 32281303 PMCID: PMC7984341 DOI: 10.1002/alz.12069] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2019] [Revised: 11/12/2019] [Accepted: 12/23/2019] [Indexed: 12/18/2022]
Abstract
INTRODUCTION The Amyloid Imaging to Prevent Alzheimer's Disease (AMYPAD) Prognostic and Natural History Study (PNHS) aims at understanding the role of amyloid imaging in the earliest stages of Alzheimer's disease (AD). AMYPAD PNHS adds (semi-)quantitative amyloid PET imaging to several European parent cohorts (PCs) to predict AD-related progression as well as address methodological challenges in amyloid PET. METHODS AMYPAD PNHS is an open-label, prospective, multi-center, cohort study recruiting from multiple PCs. Around 2000 participants will undergo baseline amyloid positron emission tomography (PET), half of whom will be invited for a follow-up PET 12 at least 12 months later. RESULTS Primary include several amyloid PET measurements (Centiloid, SUVr, BPND , R1 ), and secondary are their changes from baseline, relationship to other amyloid markers (cerebrospinal fluid and visual assessment), and predictive value of AD-related decline. EXPECTED IMPACT Determining the role of amyloid PET for the understanding of this complex disease and potentially improving secondary prevention trials.
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Affiliation(s)
- Isadora Lopes Alves
- Department of Radiology and Nuclear MedicineAmsterdam UMCVrije Universiteit AmsterdamAmsterdamthe Netherlands
| | - Lyduine E. Collij
- Department of Radiology and Nuclear MedicineAmsterdam UMCVrije Universiteit AmsterdamAmsterdamthe Netherlands
| | - Daniele Altomare
- Laboratory of Neuroimaging of Aging (LANVIE)University of GenevaGenevaSwitzerland
- Memory ClinicUniversity Hospital of GenevaGenevaSwitzerland
| | - Giovanni B. Frisoni
- Laboratory of Neuroimaging of Aging (LANVIE)University of GenevaGenevaSwitzerland
- Memory ClinicUniversity Hospital of GenevaGenevaSwitzerland
| | - Laure Saint‐Aubert
- Department of Nuclear MedicineImaging PoleToulouse, University HospitalToulouseFrance
- Toulouse NeuroImaging CenterUniversité de Toulouse, Inserm, UPSToulouseFrance
| | - Pierre Payoux
- Department of Nuclear MedicineImaging PoleToulouse, University HospitalToulouseFrance
- Toulouse NeuroImaging CenterUniversité de Toulouse, Inserm, UPSToulouseFrance
| | - Miia Kivipelto
- Department of Geriatric MedicineKarolinska University Hospital HuddingeStockholmSweden
| | - Frank Jessen
- Department of Nuclear MedicineUniversity of CologneCologneGermany
| | | | - Annebet Leeuwis
- Department of Neurology, Amsterdam UMCVrije Universiteit AmsterdamAlzheimercenterAmsterdamthe Netherlands
| | - Alle Meije Wink
- Department of Radiology and Nuclear MedicineAmsterdam UMCVrije Universiteit AmsterdamAmsterdamthe Netherlands
| | - Pieter Jelle Visser
- Department of Neurology, Amsterdam UMCVrije Universiteit AmsterdamAlzheimercenterAmsterdamthe Netherlands
| | - Bart N.M. van Berckel
- Department of Radiology and Nuclear MedicineAmsterdam UMCVrije Universiteit AmsterdamAmsterdamthe Netherlands
| | - Philip Scheltens
- Department of Neurology, Amsterdam UMCVrije Universiteit AmsterdamAlzheimercenterAmsterdamthe Netherlands
| | | | | | | | | | | | - Juan Domingo Gispert
- Barcelona β Brain Research CenterBarcelonaSpain
- Centro de Investigación Biomédica en Red de BioingenieríaBiomateriales y Nanomedicina (CIBER‐BBN)MadridSpain
- Universitat Pompeu FabraBarcelonaSpain
| | | | - Lisa Ford
- Janssen Pharmaceutica RNDTitusvilleNew JerseyUSA
| | - Craig Ritchie
- Centre for Clinical Brain SciencesUniversity of EdinburghEdinburghUnited Kingdom
| | - Gill Farrar
- GE HealthcareLife SciencesAmershamUnited Kingdom
| | - Frederik Barkhof
- Department of Radiology and Nuclear MedicineAmsterdam UMCVrije Universiteit AmsterdamAmsterdamthe Netherlands
- Centre for Medical Image ComputingMedical Physics and Biomedical Engineering, UCLLondonUnited Kingdom
| | - José Luis Molinuevo
- Barcelona β Brain Research CenterBarcelonaSpain
- Universitat Pompeu FabraBarcelonaSpain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES)MadridSpain
| | - the AMYPAD Consortium
- Department of Radiology and Nuclear MedicineAmsterdam UMCVrije Universiteit AmsterdamAmsterdamthe Netherlands
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25
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Scarpazza C, Ha M, Baecker L, Garcia-Dias R, Pinaya WHL, Vieira S, Mechelli A. Translating research findings into clinical practice: a systematic and critical review of neuroimaging-based clinical tools for brain disorders. Transl Psychiatry 2020; 10:107. [PMID: 32313006 PMCID: PMC7170931 DOI: 10.1038/s41398-020-0798-6] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Accepted: 03/25/2020] [Indexed: 12/14/2022] Open
Abstract
A pivotal aim of psychiatric and neurological research is to promote the translation of the findings into clinical practice to improve diagnostic and prognostic assessment of individual patients. Structural neuroimaging holds much promise, with neuroanatomical measures accounting for up to 40% of the variance in clinical outcome. Building on these findings, a number of imaging-based clinical tools have been developed to make diagnostic and prognostic inferences about individual patients from their structural Magnetic Resonance Imaging scans. This systematic review describes and compares the technical characteristics of the available tools, with the aim to assess their translational potential into real-world clinical settings. The results reveal that a total of eight tools. All of these were specifically developed for neurological disorders, and as such are not suitable for application to psychiatric disorders. Furthermore, most of the tools were trained and validated in a single dataset, which can result in poor generalizability, or using a small number of individuals, which can cause overoptimistic results. In addition, all of the tools rely on two strategies to detect brain abnormalities in single individuals, one based on univariate comparison, and the other based on multivariate machine-learning algorithms. We discuss current barriers to the adoption of these tools in clinical practice and propose a checklist of pivotal characteristics that should be included in an "ideal" neuroimaging-based clinical tool for brain disorders.
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Affiliation(s)
- C Scarpazza
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College, London, UK.
- Department of General Psychology, University of Padova, Padova, Italy.
| | - M Ha
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College, London, UK
| | - L Baecker
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College, London, UK
| | - R Garcia-Dias
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College, London, UK
| | - W H L Pinaya
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College, London, UK
- Center of Mathematics, Computing, and Cognition, Universidade Federal do ABC, São Bernardo do Campo, SP, Brazil
| | - S Vieira
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College, London, UK
| | - A Mechelli
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College, London, UK
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Schipaanboord B, Boukerroui D, Peressutti D, van Soest J, Lustberg T, Dekker A, Elmpt WV, Gooding MJ. An Evaluation of Atlas Selection Methods for Atlas-Based Automatic Segmentation in Radiotherapy Treatment Planning. IEEE TRANSACTIONS ON MEDICAL IMAGING 2019; 38:2654-2664. [PMID: 30969918 DOI: 10.1109/tmi.2019.2907072] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Atlas-based automatic segmentation is used in radiotherapy planning to accelerate the delineation of organs at risk (OARs). Atlas selection has been proposed as a way to improve the accuracy and execution time of segmentation, assuming that, the more similar the atlas is to the patient, the better the results will be. This paper presents an analysis of atlas selection methods in the context of radiotherapy treatment planning. For a range of commonly contoured OARs, a thorough comparison of a large class of typical atlas selection methods has been performed. For this evaluation, clinically contoured CT images of the head and neck ( N=316 ) and thorax ( N=280 ) were used. The state-of-the-art intensity and deformation similarity-based atlas selection methods were found to compare poorly to perfect atlas selection. Counter-intuitively, atlas selection methods based on a fixed set of representative atlases outperformed atlas selection methods based on the patient image. This study suggests that atlas-based segmentation with currently available selection methods compares poorly to the potential best performance, hampering the clinical utility of atlas-based segmentation. Effective atlas selection remains an open challenge in atlas-based segmentation for radiotherapy planning.
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Haq R, Berry SL, Deasy JO, Hunt M, Veeraraghavan H. Dynamic multiatlas selection-based consensus segmentation of head and neck structures from CT images. Med Phys 2019; 46:5612-5622. [PMID: 31587300 DOI: 10.1002/mp.13854] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2018] [Revised: 09/11/2019] [Accepted: 09/16/2019] [Indexed: 12/11/2022] Open
Abstract
PURPOSE Manual delineation of head and neck (H&N) organ-at-risk (OAR) structures for radiation therapy planning is time consuming and highly variable. Therefore, we developed a dynamic multiatlas selection-based approach for fast and reproducible segmentation. METHODS Our approach dynamically selects and weights the appropriate number of atlases for weighted label fusion and generates segmentations and consensus maps indicating voxel-wise agreement between different atlases. Atlases were selected for a target as those exceeding an alignment weight called dynamic atlas attention index. Alignment weights were computed at the image level and called global weighted voting (GWV) or at the structure level and called structure weighted voting (SWV) by using a normalized metric computed as the sum of squared distances of computed tomography (CT)-radiodensity and modality-independent neighborhood descriptors (extracting edge information). Performance comparisons were performed using 77 H&N CT images from an internal Memorial Sloan-Kettering Cancer Center dataset (N = 45) and an external dataset (N = 32) using Dice similarity coefficient (DSC), Hausdorff distance (HD), 95th percentile of HD, median of maximum surface distance, and volume ratio error against expert delineation. Pairwise DSC accuracy comparisons of proposed (GWV, SWV) vs single best atlas (BA) or majority voting (MV) methods were performed using Wilcoxon rank-sum tests. RESULTS Both SWV and GWV methods produced significantly better segmentation accuracy than BA (P < 0.001) and MV (P < 0.001) for all OARs within both datasets. SWV generated the most accurate segmentations with DSC of: 0.88 for oral cavity, 0.85 for mandible, 0.84 for cord, 0.76 for brainstem and parotids, 0.71 for larynx, and 0.60 for submandibular glands. SWV's accuracy exceeded GWV's for submandibular glands (DSC = 0.60 vs 0.52, P = 0.019). CONCLUSIONS The contributed SWV and GWV methods generated more accurate automated segmentations than the other two multiatlas-based segmentation techniques. The consensus maps could be combined with segmentations to visualize voxel-wise consensus between atlases within OARs during manual review.
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Affiliation(s)
- Rabia Haq
- Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, NY, 10065, USA
| | - Sean L Berry
- Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, NY, 10065, USA
| | - Joseph O Deasy
- Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, NY, 10065, USA
| | - Margie Hunt
- Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, NY, 10065, USA
| | - Harini Veeraraghavan
- Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, NY, 10065, USA
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28
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Douven E, Staals J, Freeze WM, Schievink SH, Hellebrekers DM, Wolz R, Jansen JF, van Oostenbrugge RJ, Verhey FR, Aalten P, Köhler S. Imaging markers associated with the development of post-stroke depression and apathy: Results of the Cognition and Affect after Stroke - a Prospective Evaluation of Risks study. Eur Stroke J 2019; 5:78-84. [PMID: 32232173 PMCID: PMC7092734 DOI: 10.1177/2396987319883445] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2019] [Accepted: 09/25/2019] [Indexed: 01/17/2023] Open
Abstract
Introduction It has been suggested that the development of post-stroke apathy (PSA) and depression (PSD) may be more strongly associated with generalised brain pathology, rather than the stroke lesion itself. The present study aimed to investigate associations between imaging markers of lesion-related and generalised brain pathology and the development of PSA and PSD during a one-year follow-up. Patients and methods In a prospective cohort study, 188 stroke patients received 3-Tesla MRI at baseline (three months post-stroke) for evaluation of lesion-related, vascular, and degenerative brain pathology. Presence of lacunes, microbleeds, white matter hyperintensities, and enlarged perivascular spaces was summed to provide a measure of total cerebral small vessel disease (cSVD) burden (range 0-4). The Mini International Neuropsychiatric Interview and Apathy Evaluation Scale were administered at baseline and repeated at 6- and 12-month follow-up to define presence of PSD and PSA, respectively. Results Population-averaged logistic regression models showed that global brain atrophy and severe cSVD burden (score 3-4) were significantly associated with the odds of having PSA (ORGEE 5.33, 95% CI 1.99-14.25 and 3.04, 95% CI 1.20-7.69, respectively), independent of stroke lesion volume and co-morbid PSD. Medium cSVD burden (score 2) was significantly associated with the odds of having PSD (ORGEE 2.92, 95% CI 1.09-7.78), independent of stroke lesion volume, co-morbid PSA, and pre-stroke depression. No associations were found with lesion-related markers. Conclusions The results suggest that generalised degenerative and vascular brain pathology, rather than lesion-related pathology, is an important predictor for the development of PSA, and less strongly for PSD.
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Affiliation(s)
- Elles Douven
- Department of Psychiatry and Neuropsychology, Maastricht University, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht, The Netherlands
| | - Julie Staals
- Department of Neurology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Whitney M Freeze
- Department of Psychiatry and Neuropsychology, Maastricht University, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht, The Netherlands
| | - Syenna Hj Schievink
- Department of Psychiatry and Neuropsychology, Maastricht University, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht, The Netherlands
| | - Danique Mj Hellebrekers
- Department of Neurology, Maastricht University Medical Center, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Robin Wolz
- Imperial College London, IXICO, London, UK
| | - Jacobus Fa Jansen
- Department of Radiology, Maastricht University Medical Center, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Robert J van Oostenbrugge
- Department of Neurology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Center, Maastricht, The Netherlands.,Department of Neurology, Maastricht University Medical Center, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Frans Rj Verhey
- Department of Psychiatry and Neuropsychology, Maastricht University, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht, The Netherlands
| | - Pauline Aalten
- Department of Psychiatry and Neuropsychology, Maastricht University, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht, The Netherlands
| | - Sebastian Köhler
- Department of Psychiatry and Neuropsychology, Maastricht University, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht, The Netherlands
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Hou B, Kang G, Zhang N, Liu K. Multi-target Interactive Neural Network for Automated Segmentation of the Hippocampus in Magnetic Resonance Imaging. Cognit Comput 2019. [DOI: 10.1007/s12559-019-09645-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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30
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Huo Y, Xu Z, Xiong Y, Aboud K, Parvathaneni P, Bao S, Bermudez C, Resnick SM, Cutting LE, Landman BA. 3D whole brain segmentation using spatially localized atlas network tiles. Neuroimage 2019; 194:105-119. [PMID: 30910724 PMCID: PMC6536356 DOI: 10.1016/j.neuroimage.2019.03.041] [Citation(s) in RCA: 143] [Impact Index Per Article: 28.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2018] [Revised: 02/23/2019] [Accepted: 03/19/2019] [Indexed: 01/18/2023] Open
Abstract
Detailed whole brain segmentation is an essential quantitative technique in medical image analysis, which provides a non-invasive way of measuring brain regions from a clinical acquired structural magnetic resonance imaging (MRI). Recently, deep convolution neural network (CNN) has been applied to whole brain segmentation. However, restricted by current GPU memory, 2D based methods, downsampling based 3D CNN methods, and patch-based high-resolution 3D CNN methods have been the de facto standard solutions. 3D patch-based high resolution methods typically yield superior performance among CNN approaches on detailed whole brain segmentation (>100 labels), however, whose performance are still commonly inferior compared with state-of-the-art multi-atlas segmentation methods (MAS) due to the following challenges: (1) a single network is typically used to learn both spatial and contextual information for the patches, (2) limited manually traced whole brain volumes are available (typically less than 50) for training a network. In this work, we propose the spatially localized atlas network tiles (SLANT) method to distribute multiple independent 3D fully convolutional networks (FCN) for high-resolution whole brain segmentation. To address the first challenge, multiple spatially distributed networks were used in the SLANT method, in which each network learned contextual information for a fixed spatial location. To address the second challenge, auxiliary labels on 5111 initially unlabeled scans were created by multi-atlas segmentation for training. Since the method integrated multiple traditional medical image processing methods with deep learning, we developed a containerized pipeline to deploy the end-to-end solution. From the results, the proposed method achieved superior performance compared with multi-atlas segmentation methods, while reducing the computational time from >30 h to 15 min. The method has been made available in open source (https://github.com/MASILab/SLANTbrainSeg).
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Affiliation(s)
- Yuankai Huo
- Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA.
| | - Zhoubing Xu
- Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA
| | - Yunxi Xiong
- Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA
| | - Katherine Aboud
- Department of Special Education, Vanderbilt University, Nashville, TN, USA
| | - Prasanna Parvathaneni
- Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA
| | - Shunxing Bao
- Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA
| | - Camilo Bermudez
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA
| | - Susan M Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD, USA
| | - Laurie E Cutting
- Department of Special Education, Vanderbilt University, Nashville, TN, USA; Department of Psychology, Vanderbilt University, Nashville, TN, USA; Department of Pediatrics, Vanderbilt University, Nashville, TN, USA; Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, USA
| | - Bennett A Landman
- Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA; Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, USA; Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA
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31
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Similarity clustering‐based atlas selection for pelvic
CT
image segmentation. Med Phys 2019; 46:2243-2250. [DOI: 10.1002/mp.13494] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2018] [Revised: 01/29/2019] [Accepted: 03/02/2019] [Indexed: 11/07/2022] Open
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Cárdenas-Peña D, Tobar-Rodríguez A, Castellanos-Dominguez G, Neuroimaging Initiative AD. Adaptive Bayesian label fusion using kernel-based similarity metrics in hippocampus segmentation. J Med Imaging (Bellingham) 2019; 6:014003. [PMID: 30746392 DOI: 10.1117/1.jmi.6.1.014003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2018] [Accepted: 12/27/2018] [Indexed: 11/14/2022] Open
Abstract
The effectiveness of brain magnetic resonance imaging (MRI) as a useful evaluation tool strongly depends on the performed segmentation of associated tissues or anatomical structures. We introduce an enhanced brain segmentation approach of Bayesian label fusion that includes the construction of adaptive target-specific probabilistic priors using atlases ranked by kernel-based similarity metrics to deal with the anatomical variability of collected MRI data. In particular, the developed segmentation approach appraises patch-based voxel representation to enhance the voxel embedding in spaces with increased tissue discrimination, as well as the construction of a neighborhood-dependent model that addresses the label assignment of each region with a different patch complexity. To measure the similarity between the target and training atlases, we propose a tensor-based kernel metric that also includes the training labeling set. We evaluate the proposed approach, adaptive Bayesian label fusion using kernel-based similarity metrics, in the specific case of hippocampus segmentation of five benchmark MRI collections, including ADNI dataset, resulting in an increased performance (assessed through the Dice index) as compared to other recent works.
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Affiliation(s)
- David Cárdenas-Peña
- Universidad Nacional de Colombia, Signal Processing and Recognition Group, Manizales, Colombia
| | - Andres Tobar-Rodríguez
- Universidad Nacional de Colombia, Signal Processing and Recognition Group, Manizales, Colombia
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Schipaanboord B, Boukerroui D, Peressutti D, van Soest J, Lustberg T, Kadir T, Dekker A, van Elmpt W, Gooding M. Can Atlas-Based Auto-Segmentation Ever Be Perfect? Insights From Extreme Value Theory. IEEE TRANSACTIONS ON MEDICAL IMAGING 2019; 38:99-106. [PMID: 30010554 DOI: 10.1109/tmi.2018.2856464] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Atlas-based segmentation is used in radiotherapy planning to accelerate the delineation of organs at risk (OARs). Atlas selection has been proposed to improve the performance of segmentation, assuming that the more similar the atlas is to the patient, the better the result. It follows that the larger the database of atlases from which to select, the better the results should be. This paper seeks to estimate a clinically achievable expected performance under this assumption. Assuming a perfect atlas selection, an extreme value theory has been applied to estimate the accuracy of single-atlas and multi-atlas segmentation given a large database of atlases. For this purpose, clinical contours of most common OARs on computed tomography of the head and neck ( N=316 ) and thoracic ( N=280 ) cases were used. This paper found that while for most organs, perfect segmentation cannot be reasonably expected, auto-contouring performance of a level corresponding to clinical quality could be consistently expected given a database of 5000 atlases under the assumption of perfect atlas selection.
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34
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Fang L, Zhang L, Nie D, Cao X, Rekik I, Lee SW, He H, Shen D. Automatic brain labeling via multi-atlas guided fully convolutional networks. Med Image Anal 2019; 51:157-168. [DOI: 10.1016/j.media.2018.10.012] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2018] [Revised: 10/27/2018] [Accepted: 10/30/2018] [Indexed: 12/26/2022]
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35
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Hadar PN, Kini LG, Coto C, Piskin V, Callans LE, Chen SH, Stein JM, Das SR, Yushkevich PA, Davis KA. Clinical validation of automated hippocampal segmentation in temporal lobe epilepsy. Neuroimage Clin 2018; 20:1139-1147. [PMID: 30380521 PMCID: PMC6205355 DOI: 10.1016/j.nicl.2018.09.032] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2018] [Revised: 09/16/2018] [Accepted: 09/29/2018] [Indexed: 01/07/2023]
Abstract
OBJECTIVE To provide a multi-atlas framework for automated hippocampus segmentation in temporal lobe epilepsy (TLE) and clinically validate the results with respect to surgical lateralization and post-surgical outcome. METHODS We retrospectively identified 47 TLE patients who underwent surgical resection and 12 healthy controls. T1-weighted 3 T MRI scans were acquired for all subjects, and patients were identified by a neuroradiologist with regards to lateralization and degree of hippocampal sclerosis (HS). Automated segmentation was implemented through the Joint Label Fusion/Corrective Learning (JLF/CL) method. Gold standard lateralization was determined from the surgically resected side in Engel I (seizure-free) patients at the two-year timepoint. ROC curves were used to identify appropriate thresholds for hippocampal asymmetry ratios, which were then used to analyze JLF/CL lateralization. RESULTS The optimal template atlas based on subject images with varying appearances, from normal-appearing to severe HS, was demonstrated to be composed entirely of normal-appearing subjects, with good agreement between automated and manual segmentations. In applying this atlas to 26 surgically resected seizure-free patients at a two-year timepoint, JLF/CL lateralized seizure onset 92% of the time. In comparison, neuroradiology reads lateralized 65% of patients, but correctly lateralized seizure onset in these patients 100% of the time. When compared to lateralized neuroradiology reads, JLF/CL was in agreement and correctly lateralized all 17 patients. When compared to nonlateralized radiology reads, JLF/CL correctly lateralized 78% of the nine patients. SIGNIFICANCE While a neuroradiologist's interpretation of MR imaging is a key, albeit imperfect, diagnostic tool for seizure localization in medically-refractory TLE patients, automated hippocampal segmentation may provide more efficient and accurate epileptic foci localization. These promising findings demonstrate the clinical utility of automated segmentation in the TLE MR imaging pipeline prior to surgical resection, and suggest that further investigation into JLF/CL-assisted MRI reading could improve clinical outcomes. Our JLF/CL software is publicly available at https://www.nitrc.org/projects/ashs/.
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Affiliation(s)
- Peter N Hadar
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, United States
| | - Lohith G Kini
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, United States
| | - Carlos Coto
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, United States
| | - Virginie Piskin
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, United States; Penn Image Computing and Science Lab, University of Pennsylvania, Philadelphia, PA 19104, United States
| | - Lauren E Callans
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, United States
| | - Stephanie H Chen
- Department of Neurology, University of Maryland, Baltimore, MD 21201, United States
| | - Joel M Stein
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, United States
| | - Sandhitsu R Das
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, United States; Penn Image Computing and Science Lab, University of Pennsylvania, Philadelphia, PA 19104, United States
| | - Paul A Yushkevich
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, United States; Penn Image Computing and Science Lab, University of Pennsylvania, Philadelphia, PA 19104, United States
| | - Kathryn A Davis
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, United States.
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Andersson T, Borga M, Dahlqvist Leinhard O. Geodesic registration for interactive atlas-based segmentation using learned multi-scale anatomical manifolds. Pattern Recognit Lett 2018. [DOI: 10.1016/j.patrec.2018.04.037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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37
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Ledig C, Schuh A, Guerrero R, Heckemann RA, Rueckert D. Structural brain imaging in Alzheimer's disease and mild cognitive impairment: biomarker analysis and shared morphometry database. Sci Rep 2018; 8:11258. [PMID: 30050078 PMCID: PMC6062561 DOI: 10.1038/s41598-018-29295-9] [Citation(s) in RCA: 66] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2018] [Accepted: 07/06/2018] [Indexed: 12/22/2022] Open
Abstract
Magnetic resonance (MR) imaging is a powerful technique for non-invasive in-vivo imaging of the human brain. We employed a recently validated method for robust cross-sectional and longitudinal segmentation of MR brain images from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) cohort. Specifically, we segmented 5074 MR brain images into 138 anatomical regions and extracted time-point specific structural volumes and volume change during follow-up intervals of 12 or 24 months. We assessed the extracted biomarkers by determining their power to predict diagnostic classification and by comparing atrophy rates to published meta-studies. The approach enables comprehensive analysis of structural changes within the whole brain. The discriminative power of individual biomarkers (volumes/atrophy rates) is on par with results published by other groups. We publish all quality-checked brain masks, structural segmentations, and extracted biomarkers along with this article. We further share the methodology for brain extraction (pincram) and segmentation (MALPEM, MALPEM4D) as open source projects with the community. The identified biomarkers hold great potential for deeper analysis, and the validated methodology can readily be applied to other imaging cohorts.
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Affiliation(s)
- Christian Ledig
- Imperial College London, Department of Computing, London, SW7 2AZ, UK.
| | - Andreas Schuh
- Imperial College London, Department of Computing, London, SW7 2AZ, UK
| | - Ricardo Guerrero
- Imperial College London, Department of Computing, London, SW7 2AZ, UK
| | - Rolf A Heckemann
- MedTech West, Sahlgrenska University Hospital, 413 45, Gothenburg, Sweden.,Department of Radiation Therapy, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Division of Brain Sciences, Imperial College London, London, UK
| | - Daniel Rueckert
- Imperial College London, Department of Computing, London, SW7 2AZ, UK
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Koch LM, Rajchl M, Bai W, Baumgartner CF, Tong T, Passerat-Palmbach J, Aljabar P, Rueckert D, Koch LM, Rajchl M, Baumgartner CF, Passerat-Palmbach J, Aljabar P, Rueckert D, Bai W, Passerat-Palmbach J, Rajchl M, Tong T, Baumgartner CF, Koch LM, Rueckert D, Aljabar P. Multi-Atlas Segmentation Using Partially Annotated Data: Methods and Annotation Strategies. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 2018; 40:1683-1696. [PMID: 28841548 DOI: 10.1109/tpami.2017.2711020] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
Multi-atlas segmentation is a widely used tool in medical image analysis, providing robust and accurate results by learning from annotated atlas datasets. However, the availability of fully annotated atlas images for training is limited due to the time required for the labelling task. Segmentation methods requiring only a proportion of each atlas image to be labelled could therefore reduce the workload on expert raters tasked with annotating atlas images. To address this issue, we first re-examine the labelling problem common in many existing approaches and formulate its solution in terms of a Markov Random Field energy minimisation problem on a graph connecting atlases and the target image. This provides a unifying framework for multi-atlas segmentation. We then show how modifications in the graph configuration of the proposed framework enable the use of partially annotated atlas images and investigate different partial annotation strategies. The proposed method was evaluated on two Magnetic Resonance Imaging (MRI) datasets for hippocampal and cardiac segmentation. Experiments were performed aimed at (1) recreating existing segmentation techniques with the proposed framework and (2) demonstrating the potential of employing sparsely annotated atlas data for multi-atlas segmentation.
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Tullo S, Devenyi GA, Patel R, Park MTM, Collins DL, Chakravarty MM. Warping an atlas derived from serial histology to 5 high-resolution MRIs. Sci Data 2018; 5:180107. [PMID: 29917012 PMCID: PMC6007088 DOI: 10.1038/sdata.2018.107] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2017] [Accepted: 04/06/2018] [Indexed: 11/09/2022] Open
Abstract
Previous work from our group demonstrated the use of multiple input atlases to a modified multi-atlas framework (MAGeT-Brain) to improve subject-based segmentation accuracy. Currently, segmentation of the striatum, globus pallidus and thalamus are generated from a single high-resolution and -contrast MRI atlas derived from annotated serial histological sections. Here, we warp this atlas to five high-resolution MRI templates to create five de novo atlases. The overall goal of this work is to use these newly warped atlases as input to MAGeT-Brain in an effort to consolidate and improve the workflow presented in previous manuscripts from our group, allowing for simultaneous multi-structure segmentation. The work presented details the methodology used for the creation of the atlases using a technique previously proposed, where atlas labels are modified to mimic the intensity and contrast profile of MRI to facilitate atlas-to-template nonlinear transformation estimation. Dice's Kappa metric was used to demonstrate high quality registration and segmentation accuracy of the atlases. The final atlases are available at https://github.com/CobraLab/atlases/tree/master/5-atlas-subcortical.
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Affiliation(s)
- Stephanie Tullo
- Integrated Program in Neuroscience, McGill University, Montreal, Canada.,Computational Brain Anatomy Laboratory, Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Canada
| | - Gabriel A Devenyi
- Computational Brain Anatomy Laboratory, Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Canada.,Department of Psychiatry, McGill University, Montreal, Canada
| | - Raihaan Patel
- Computational Brain Anatomy Laboratory, Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Canada.,Department of Biological and Biomedical Engineering, McGill University, Montreal, Canada
| | - Min Tae M Park
- Computational Brain Anatomy Laboratory, Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Canada.,Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - D Louis Collins
- Department of Biological and Biomedical Engineering, McGill University, Montreal, Canada.,McConnell Brain Imaging Centre, Montreal Neurological Institute, Montreal, Canada
| | - M Mallar Chakravarty
- Computational Brain Anatomy Laboratory, Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Canada.,Department of Psychiatry, McGill University, Montreal, Canada.,Department of Biological and Biomedical Engineering, McGill University, Montreal, Canada
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40
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Rapid fully automatic segmentation of subcortical brain structures by shape-constrained surface adaptation. Med Image Anal 2018; 46:146-161. [DOI: 10.1016/j.media.2018.03.001] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2017] [Revised: 02/23/2018] [Accepted: 03/08/2018] [Indexed: 11/18/2022]
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41
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Makropoulos A, Counsell SJ, Rueckert D. A review on automatic fetal and neonatal brain MRI segmentation. Neuroimage 2018; 170:231-248. [DOI: 10.1016/j.neuroimage.2017.06.074] [Citation(s) in RCA: 100] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2016] [Revised: 03/06/2017] [Accepted: 06/26/2017] [Indexed: 01/18/2023] Open
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42
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Chen S, Dorn S, Lell M, Kachelrieß M, Maier A. Manifold Learning-based Data Sampling for Model Training. BILDVERARBEITUNG FÜR DIE MEDIZIN 2018 2018. [DOI: 10.1007/978-3-662-56537-7_70] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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43
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Ten Kate M, Barkhof F, Boccardi M, Visser PJ, Jack CR, Lovblad KO, Frisoni GB, Scheltens P. Clinical validity of medial temporal atrophy as a biomarker for Alzheimer's disease in the context of a structured 5-phase development framework. Neurobiol Aging 2017; 52:167-182.e1. [PMID: 28317647 DOI: 10.1016/j.neurobiolaging.2016.05.024] [Citation(s) in RCA: 54] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2015] [Revised: 05/01/2016] [Accepted: 05/10/2016] [Indexed: 01/18/2023]
Abstract
Research criteria for Alzheimer's disease recommend the use of biomarkers for diagnosis, but whether biomarkers improve the diagnosis in clinical routine has not been systematically assessed. The aim is to evaluate the evidence for use of medial temporal lobe atrophy (MTA) as a biomarker for Alzheimer's disease at the mild cognitive impairment stage in routine clinical practice, with an adapted version of the 5-phase oncology framework for biomarker development. A literature review on visual assessment of MTA and hippocampal volumetry was conducted with other biomarkers addressed in parallel reviews. Ample evidence is available for phase 1 (rationale for use) and phase 2 (discriminative ability between diseased and control subjects). Phase 3 (early detection ability) is partly achieved: most evidence is derived from research cohorts or clinical populations with short follow-up, but validation in clinical mild cognitive impairment cohorts is required. In phase 4, only the practical feasibility has been addressed for visual rating of MTA. The rest of phase 4 and phase 5 have not yet been addressed.
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Affiliation(s)
- Mara Ten Kate
- Department of Neurology, Alzheimer Center, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, the Netherlands.
| | - Frederik Barkhof
- Department of Radiology & Nuclear Medicine, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, the Netherlands; European Society of Neuroradiology (ESNR); Institutes of Neurology and Healthcare Engineering, University College London, London, UK
| | - Marina Boccardi
- Laboratory of Alzheimer's Neuroimaging and Epidemiology (LANE), IRCCS S.Giovanni di Dio - Fatebenefratelli, Brescia, Italy; LANVIE (Laboratory of Neuroimaging of Aging) - Department of Psychiatry, University of Geneva, Geneva, Switzerland
| | - Pieter Jelle Visser
- Department of Neurology, Alzheimer Center, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, the Netherlands; Department of Psychiatry & Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | | | - Karl-Olof Lovblad
- Department of Neuroradiology, University Hospital of Geneva, Geneva, Switzerland
| | - Giovanni B Frisoni
- Institutes of Neurology and Healthcare Engineering, University College London, London, UK; Memory Clinic - Department of Internal Medicine, University Hospital of Geneva, Geneva, Switzerland
| | - Philip Scheltens
- Department of Neurology, Alzheimer Center, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, the Netherlands
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44
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Fang L, Zhang L, Nie D, Cao X, Bahrami K, He H, Shen D. Brain Image Labeling Using Multi-atlas Guided 3D Fully Convolutional Networks. PATCH-BASED TECHNIQUES IN MEDICAL IMAGING : THIRD INTERNATIONAL WORKSHOP, PATCH-MI 2017, HELD IN CONJUNCTION WITH MICCAI 2017, QUEBEC CITY, QC, CANADA, SEPTEMBER 14, 2017, PROCEEDINGS. PATCH-MI (WORKSHOP) (3RD : 2017 : QUEBEC, QUEBEC) 2017; 10530:12-19. [PMID: 29104969 PMCID: PMC5669261 DOI: 10.1007/978-3-319-67434-6_2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2023]
Abstract
Automatic labeling of anatomical structures in brain images plays an important role in neuroimaging analysis. Among all methods, multi-atlas based segmentation methods are widely used, due to their robustness in propagating prior label information. However, non-linear registration is always needed, which is time-consuming. Alternatively, the patch-based methods have been proposed to relax the requirement of image registration, but the labeling is often determined independently by the target image information, without getting direct assistance from the atlases. To address these limitations, in this paper, we propose a multi-atlas guided 3D fully convolutional networks (FCN) for brain image labeling. Specifically, multi-atlas based guidance is incorporated during the network learning. Based on this, the discriminative of the FCN is boosted, which eventually contribute to accurate prediction. Experiments show that the use of multi-atlas guidance improves the brain labeling performance.
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Affiliation(s)
- Longwei Fang
- Research Center for Brain-Inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Lichi Zhang
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Dong Nie
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Xiaohuan Cao
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- School of Automation, Northwestern Polytechnical University, Xi'an, China
| | - Khosro Bahrami
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Huiguang He
- Research Center for Brain-Inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
- Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Beijing, China
| | - Dinggang Shen
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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45
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Cavedo E, Suppa P, Lange C, Opfer R, Lista S, Galluzzi S, Schwarz AJ, Spies L, Buchert R, Hampel H. Fully Automatic MRI-Based Hippocampus Volumetry Using FSL-FIRST: Intra-Scanner Test-Retest Stability, Inter-Field Strength Variability, and Performance as Enrichment Biomarker for Clinical Trials Using Prodromal Target Populations at Risk for Alzheimer’s Disease. J Alzheimers Dis 2017; 60:151-164. [DOI: 10.3233/jad-161108] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Affiliation(s)
- Enrica Cavedo
- AXA Research Fund and UPMC Chair, Sorbonne Universités, Université Pierre et Marie Curie (UPMC) Paris 06, Inserm, CNRS, Institut du Cerveau et de la Moelle Épinière (ICM), Département de Neurologie, Institut de la Mémoire et de la Maladie d’Alzheimer (IM2A), Hôpital Pitié-Salpêtrière, Boulevard de l’hôpital, F-75013, Paris, France
- IRCCS Centro San Giovanni di Dio, Brescia, Italy
| | - Per Suppa
- Department of Nuclear Medicine, Charité– Universitätsmedizin Berlin, Berlin, Germany
- Jung diagnostics GmbH, Hamburg, Germany
| | - Catharina Lange
- Department of Nuclear Medicine, Charité– Universitätsmedizin Berlin, Berlin, Germany
| | | | - Simone Lista
- AXA Research Fund and UPMC Chair, Sorbonne Universités, Université Pierre et Marie Curie (UPMC) Paris 06, Inserm, CNRS, Institut du Cerveau et de la Moelle Épinière (ICM), Département de Neurologie, Institut de la Mémoire et de la Maladie d’Alzheimer (IM2A), Hôpital Pitié-Salpêtrière, Boulevard de l’hôpital, F-75013, Paris, France
| | | | | | | | - Ralph Buchert
- Department of Nuclear Medicine, Charité– Universitätsmedizin Berlin, Berlin, Germany
- Department of Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Harald Hampel
- AXA Research Fund and UPMC Chair, Sorbonne Universités, Université Pierre et Marie Curie (UPMC) Paris 06, Inserm, CNRS, Institut du Cerveau et de la Moelle Épinière (ICM), Département de Neurologie, Institut de la Mémoire et de la Maladie d’Alzheimer (IM2A), Hôpital Pitié-Salpêtrière, Boulevard de l’hôpital, F-75013, Paris, France
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46
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Sankar T, Park MTM, Jawa T, Patel R, Bhagwat N, Voineskos AN, Lozano AM, Chakravarty MM. Your algorithm might think the hippocampus grows in Alzheimer's disease: Caveats of longitudinal automated hippocampal volumetry. Hum Brain Mapp 2017; 38:2875-2896. [PMID: 28295799 PMCID: PMC5447460 DOI: 10.1002/hbm.23559] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2015] [Revised: 01/31/2017] [Accepted: 02/27/2017] [Indexed: 11/10/2022] Open
Abstract
Hippocampal atrophy rate-measured using automated techniques applied to structural MRI scans-is considered a sensitive marker of disease progression in Alzheimer's disease, frequently used as an outcome measure in clinical trials. Using publicly accessible data from the Alzheimer's Disease Neuroimaging Initiative (ADNI), we examined 1-year hippocampal atrophy rates generated by each of five automated or semiautomated hippocampal segmentation algorithms in patients with Alzheimer's disease, subjects with mild cognitive impairment, or elderly controls. We analyzed MRI data from 398 and 62 subjects available at baseline and at 1 year at MRI field strengths of 1.5 T and 3 T, respectively. We observed a high rate of hippocampal segmentation failures across all algorithms and diagnostic categories, with only 50.8% of subjects at 1.5 T and 58.1% of subjects at 3 T passing stringent segmentation quality control. We also found that all algorithms identified several subjects (between 2.94% and 48.68%) across all diagnostic categories showing increases in hippocampal volume over 1 year. For any given algorithm, hippocampal "growth" could not entirely be explained by excluding patients with flawed hippocampal segmentations, scan-rescan variability, or MRI field strength. Furthermore, different algorithms did not uniformly identify the same subjects as hippocampal "growers," and showed very poor concordance in estimates of magnitude of hippocampal volume change over time (intraclass correlation coefficient 0.319 at 1.5 T and 0.149 at 3 T). This precluded a meaningful analysis of whether hippocampal "growth" represents a true biological phenomenon. Taken together, our findings suggest that longitudinal hippocampal volume change should be interpreted with considerable caution as a biomarker. Hum Brain Mapp 38:2875-2896, 2017. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Tejas Sankar
- Division of Neurosurgery, Department of SurgeryUniversity of AlbertaAlbertaCanada
| | - Min Tae M. Park
- Cerebral Imaging CentreDouglas Mental Health University InstituteMontrealQuebecCanada
- Schulich School of Medicine and DentistryWestern UniversityLondonOntarioCanada
| | - Tasha Jawa
- Division of NeurosurgeryUniversity of TorontoTorontoOntarioCanada
| | - Raihaan Patel
- Cerebral Imaging CentreDouglas Mental Health University InstituteMontrealQuebecCanada
- Department of Biological and Biomedical EngineeringMcGill UniversityMontrealQuebecCanada
| | - Nikhil Bhagwat
- Cerebral Imaging CentreDouglas Mental Health University InstituteMontrealQuebecCanada
- Kimel Family Translational Imaging Genetics Research LaboratoryCampbell Family Mental Health Institute, Centre for Addiction and Mental HealthTorontoOntarioCanada
- Department of Biological and Biomedical EngineeringMcGill UniversityMontrealQuebecCanada
- Institute of Biomaterials and Biomedical EngineeringUniversity of TorontoTorontoOntarioCanada
| | - Aristotle N. Voineskos
- Kimel Family Translational Imaging Genetics Research LaboratoryCampbell Family Mental Health Institute, Centre for Addiction and Mental HealthTorontoOntarioCanada
- Department of PsychiatryUniversity of TorontoTorontoOntarioCanada
| | - Andres M. Lozano
- Division of NeurosurgeryUniversity of TorontoTorontoOntarioCanada
| | - M. Mallar Chakravarty
- Cerebral Imaging CentreDouglas Mental Health University InstituteMontrealQuebecCanada
- Department of PsychiatryMcGill UniversityMontrealQuebecCanada
- Department of Biological and Biomedical EngineeringMcGill UniversityMontrealQuebecCanada
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47
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Cleutjens FAHM, Ponds RWHM, Spruit MA, Burgmans S, Jacobs HIL, Gronenschild EHBM, Staals J, Franssen FME, Dijkstra JB, Vanfleteren LEGW, Hofman PA, Wouters EFM, Janssen DJA. The Relationship between Cerebral Small Vessel Disease, Hippocampal Volume and Cognitive Functioning in Patients with COPD: An MRI Study. Front Aging Neurosci 2017; 9:88. [PMID: 28424613 PMCID: PMC5371656 DOI: 10.3389/fnagi.2017.00088] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2016] [Accepted: 03/20/2017] [Indexed: 11/13/2022] Open
Abstract
The neural correlates of cognitive impairment in chronic obstructive pulmonary disease (COPD) are not yet understood. Structural brain abnormalities could possibly be associated with the presence of cognitive impairment through cigarette smoke, inflammation, vascular disease, or hypoxemia in these patients. This study aimed to investigate whether macrostructural brain magnetic resonance imaging (MRI) features of cerebral small vessel disease (SVD) and hippocampal volume (HCV) are related to cognitive performance in patients with COPD. A subgroup of cognitively high and low-performing COPD patients of the COgnitive-PD study, underwent a brain 3T MRI. SVD as a marker of vascular damage was assessed using qualitative visual rating scales. HCV as a marker of neurodegeneration was assessed using the learning embedding for atlas propagation (LEAP) method. Features of SVD and HCV were compared between cognitively high and low-performing individuals using Mann Whitney U tests and independent samples t-tests, respectively. No group differences were reported between 25 high-performing (mean age 60.3 (standard deviation [SD] 9.7) years; 40.0% men; forced expiratory volume in first second [FEV1] 50.1% predicted) and 30 low-performing patients with COPD (mean age 60.6 (SD 6.8) years; 53.3% men; FEV1 55.6% predicted) regarding demographics, clinical characteristics, comorbidities and the presence of the SVD features and HCV. To conclude, the current study does not provide evidence for a relationship between cerebral SVD and HCV and cognitive functioning in patients with COPD. Additional studies will be needed to determine other possible mechanisms of cognitive impairment in patients with COPD, including microstructural brain changes and inflammatory-, hormonal-, metabolic- and (epi)genetic factors.
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Affiliation(s)
- Fiona A H M Cleutjens
- Department of Research and Education, Centre of Expertise for Chronic Organ Failure (CIRO)Horn, Netherlands
| | - Rudolf W H M Ponds
- Department of Medical Psychology, Maastricht UMC+/School for Mental Health and Neurosciences (MHeNS)Maastricht, Netherlands
| | - Martijn A Spruit
- Department of Research and Education, Centre of Expertise for Chronic Organ Failure (CIRO)Horn, Netherlands.,Department of Respiratory Medicine, Maastricht University Medical Centre, NUTRIM School of Nutrition and Translational Research in MetabolismMaastricht, Netherlands
| | - Saartje Burgmans
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht UniversityMaastricht, Netherlands
| | - Heidi I L Jacobs
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht UniversityMaastricht, Netherlands
| | - Ed H B M Gronenschild
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht UniversityMaastricht, Netherlands
| | - Julie Staals
- Department of Neurology, Maastricht University Medical CentreMaastricht, Netherlands
| | - Frits M E Franssen
- Department of Research and Education, Centre of Expertise for Chronic Organ Failure (CIRO)Horn, Netherlands
| | - Jeanette B Dijkstra
- Department of Medical Psychology, Maastricht UMC+/School for Mental Health and Neurosciences (MHeNS)Maastricht, Netherlands
| | - Lowie E G W Vanfleteren
- Department of Research and Education, Centre of Expertise for Chronic Organ Failure (CIRO)Horn, Netherlands
| | - Paul A Hofman
- Department of Radiology, Maastricht University Medical CentreMaastricht, Netherlands
| | - Emiel F M Wouters
- Department of Research and Education, Centre of Expertise for Chronic Organ Failure (CIRO)Horn, Netherlands.,Department of Respiratory Medicine, Maastricht UMC+Maastricht, Netherlands
| | - Daisy J A Janssen
- Department of Research and Education, Centre of Expertise for Chronic Organ Failure (CIRO)Horn, Netherlands
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48
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Zhang L, Wang Q, Gao Y, Wu G, Shen D. Concatenated Spatially-localized Random Forests for Hippocampus Labeling in Adult and Infant MR Brain Images. Neurocomputing 2017; 229:3-12. [PMID: 28133417 PMCID: PMC5268165 DOI: 10.1016/j.neucom.2016.05.082] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Automatic labeling of the hippocampus in brain MR images is highly demanded, as it has played an important role in imaging-based brain studies. However, accurate labeling of the hippocampus is still challenging, partially due to the ambiguous intensity boundary between the hippocampus and surrounding anatomies. In this paper, we propose a concatenated set of spatially-localized random forests for multi-atlas-based hippocampus labeling of adult/infant brain MR images. The contribution in our work is two-fold. First, each forest classifier is trained to label just a specific sub-region of the hippocampus, thus enhancing the labeling accuracy. Second, a novel forest selection strategy is proposed, such that each voxel in the test image can automatically select a set of optimal forests, and then dynamically fuses their respective outputs for determining the final label. Furthermore, we enhance the spatially-localized random forests with the aid of the auto-context strategy. In this way, our proposed learning framework can gradually refine the tentative labeling result for better performance. Experiments show that, regarding the large datasets of both adult and infant brain MR images, our method owns satisfactory scalability by segmenting the hippocampus accurately and efficiently.
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Affiliation(s)
- Lichi Zhang
- Med-X Research Institute, School of Biomedical Engineering, Shanghai Jiao Tong University
| | - Qian Wang
- Med-X Research Institute, School of Biomedical Engineering, Shanghai Jiao Tong University
| | - Yaozong Gao
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill; Department of Computer Science, University of North Carolina at Chapel Hill
| | - Guorong Wu
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill
| | - Dinggang Shen
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill; Department of Brain and Cognitive Engineering, Korea University, Seoul 02841, Republic of Korea
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49
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Bosco P, Redolfi A, Bocchetta M, Ferrari C, Mega A, Galluzzi S, Austin M, Chincarini A, Collins DL, Duchesne S, Maréchal B, Roche A, Sensi F, Wolz R, Alegret M, Assal F, Balasa M, Bastin C, Bougea A, Emek-Savaş DD, Engelborghs S, Grimmer T, Grosu G, Kramberger MG, Lawlor B, Mandic Stojmenovic G, Marinescu M, Mecocci P, Molinuevo JL, Morais R, Niemantsverdriet E, Nobili F, Ntovas K, O'Dwyer S, Paraskevas GP, Pelini L, Picco A, Salmon E, Santana I, Sotolongo-Grau O, Spiru L, Stefanova E, Popovic KS, Tsolaki M, Yener GG, Zekry D, Frisoni GB. The impact of automated hippocampal volumetry on diagnostic confidence in patients with suspected Alzheimer's disease: A European Alzheimer's Disease Consortium study. Alzheimers Dement 2017; 13:1013-1023. [PMID: 28263741 DOI: 10.1016/j.jalz.2017.01.019] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2016] [Revised: 10/25/2016] [Accepted: 01/23/2017] [Indexed: 01/28/2023]
Abstract
INTRODUCTION Hippocampal volume is a core biomarker of Alzheimer's disease (AD). However, its contribution over the standard diagnostic workup is unclear. METHODS Three hundred fifty-six patients, under clinical evaluation for cognitive impairment, with suspected AD and Mini-Mental State Examination ≥20, were recruited across 17 European memory clinics. After the traditional diagnostic workup, diagnostic confidence of AD pathology (DCAD) was estimated by the physicians in charge. The latter were provided with the results of automated hippocampal volumetry in standardized format and DCAD was reassessed. RESULTS An increment of one interquartile range in hippocampal volume was associated with a mean change of DCAD of -8.0% (95% credible interval: [-11.5, -5.0]). Automated hippocampal volumetry showed a statistically significant impact on DCAD beyond the contributions of neuropsychology, 18F-fluorodeoxyglucose positron emission tomography/single-photon emission computed tomography, and cerebrospinal fluid markers (-8.5, CrI: [-11.5, -5.6]; -14.1, CrI: [-19.3, -8.8]; -10.6, CrI: [-14.6, -6.1], respectively). DISCUSSION There is a measurable effect of hippocampal volume on DCAD even when used on top of the traditional diagnostic workup.
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Affiliation(s)
- Paolo Bosco
- Laboratory of Alzheimer's Neuroimaging and Epidemiology, IRCCS Istituto Centro S. Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Alberto Redolfi
- Laboratory of Alzheimer's Neuroimaging and Epidemiology, IRCCS Istituto Centro S. Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Martina Bocchetta
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, London, UK
| | - Clarissa Ferrari
- IRCCS Istituto Centro S. Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Anna Mega
- Laboratory of Alzheimer's Neuroimaging and Epidemiology, IRCCS Istituto Centro S. Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Samantha Galluzzi
- Laboratory of Alzheimer's Neuroimaging and Epidemiology, IRCCS Istituto Centro S. Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | | | | | - D Louis Collins
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada; True Positive Medical Devices Inc., Quebec City, Quebec, Canada
| | - Simon Duchesne
- True Positive Medical Devices Inc., Quebec City, Quebec, Canada
| | - Bénédicte Maréchal
- Advanced Clinical Imaging Technology (HC CMEA SUI DI BM PI), Siemens Healthcare AG, Lausanne, Switzerland; Department of Radiology, University Hospital (CHUV), Lausanne, Switzerland; LTS5, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Alexis Roche
- Advanced Clinical Imaging Technology (HC CMEA SUI DI BM PI), Siemens Healthcare AG, Lausanne, Switzerland; Department of Radiology, University Hospital (CHUV), Lausanne, Switzerland; LTS5, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | | | | | - Montserrat Alegret
- Alzheimer Research Center and Memory Clinic, Fundació ACE, Institut Català de Neurociències Aplicades, Barcelona, Spain
| | - Frederic Assal
- University Hospitals and University of Geneva, Geneva, Switzerland
| | - Mircea Balasa
- Alzheimer's and Other Cognitive Disorder Unit, Hospital Clinic, Barcelona, Spain
| | - Christine Bastin
- GIGA-CRC In vivo Imaging and Memory Clinic, University of Liège, Liège, Belgium
| | - Anastasia Bougea
- First Department of Neurology, Eginition Hospital Kapodistrian University, Medical School of Athens, Athens, Greece
| | - Derya Durusu Emek-Savaş
- Department of Psychology, Dokuz Eylül University, Izmir, Turkey; Izmir International Biomedicine and Genome Center, Dokuz Eylul University, Izmir, Turkey
| | - Sebastiaan Engelborghs
- Reference Center for Biological Markers of Dementia (BIODEM), University of Antwerp, Antwerp, Belgium; Memory Clinic and Department of Neurology, Hospital Network Antwerp (ZNA) Hoge Beuken and Middelheim, Antwerp, Belgium
| | - Timo Grimmer
- Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Galina Grosu
- Radiology and Medical Imagery, Elias University Clinical Hospital, Bucharest, Romania
| | - Milica G Kramberger
- Department of Neurology, Centre for Cognitive Impairments, University Medical Center Ljubljana, Ljubljana, Slovenia
| | - Brian Lawlor
- Mercer's Institute for Successful Ageing, St. James's Hospital, Dublin, Ireland
| | | | - Mihaela Marinescu
- Department of Geriatrics-Gerontology and Old Age Psychiatry, Elias University Clinic, Bucharest, Romania
| | - Patrizia Mecocci
- Istituto di Gerontologia e Geriatria, Università degli Studi di Perugia, Perugia, Italy
| | - José Luis Molinuevo
- Alzheimer's and Other Cognitive Disorder Unit, Hospital Clinic, Barcelona, Spain
| | - Ricardo Morais
- Medical Imaging Department, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
| | - Ellis Niemantsverdriet
- Reference Center for Biological Markers of Dementia (BIODEM), University of Antwerp, Antwerp, Belgium
| | - Flavio Nobili
- Clinical Neurology (DINOGMI), University of Genoa and IRCCS AOU San Martino-IST, Genoa, Italy
| | - Konstantinos Ntovas
- 3rd Department of Neurology, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Sarah O'Dwyer
- Mercer's Institute for Successful Ageing, St. James's Hospital, Dublin, Ireland
| | - George P Paraskevas
- First Department of Neurology, Eginition Hospital Kapodistrian University, Medical School of Athens, Athens, Greece
| | - Luca Pelini
- Istituto di Gerontologia e Geriatria, Università degli Studi di Perugia, Perugia, Italy
| | - Agnese Picco
- Clinical Neurology (DINOGMI), University of Genoa and IRCCS AOU San Martino-IST, Genoa, Italy; Memory Clinic and LANVIE-Laboratory of Neuroimaging of Aging, University Hospitals and University of Geneva, Geneva, Switzerland
| | - Eric Salmon
- GIGA-CRC In vivo Imaging and Memory Clinic, University of Liège, Liège, Belgium
| | - Isabel Santana
- Neurology Department, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
| | - Oscar Sotolongo-Grau
- Alzheimer Research Center and Memory Clinic, Fundació ACE, Institut Català de Neurociències Aplicades, Barcelona, Spain
| | - Luiza Spiru
- Carol Davila University of Medicine, Bucharest, Romania; Ana Aslan Intl Foundation-Memory Clinic, Bucharest, Romania
| | - Elka Stefanova
- Institute of Neurology, CCS, Belgrade, Serbia; Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | | | - Magda Tsolaki
- 3rd Department of Neurology, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Görsev G Yener
- Izmir International Biomedicine and Genome Center, Dokuz Eylul University, Izmir, Turkey; Department of Neurology, Dokuz Eylül University, Izmir, Turkey; Brain Dynamics Multidisciplinary Research Center, Dokuz Eylül University, Izmir, Turkey
| | - Dina Zekry
- Department of Internal Medicine, Rehabilitation and Geriatrics, University Hospitals and University of Geneva, Geneva, Switzerland
| | - Giovanni B Frisoni
- Laboratory of Alzheimer's Neuroimaging and Epidemiology, IRCCS Istituto Centro S. Giovanni di Dio Fatebenefratelli, Brescia, Italy; Memory Clinic and LANVIE-Laboratory of Neuroimaging of Aging, University Hospitals and University of Geneva, Geneva, Switzerland.
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Xu Z, Gertz AL, Burke RP, Bansal N, Kang H, Landman BA, Abramson RG. Improving Spleen Volume Estimation Via Computer-assisted Segmentation on Clinically Acquired CT Scans. Acad Radiol 2016; 23:1214-20. [PMID: 27519156 DOI: 10.1016/j.acra.2016.05.015] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2016] [Revised: 04/26/2016] [Accepted: 05/04/2016] [Indexed: 12/11/2022]
Abstract
OBJECTIVES Multi-atlas fusion is a promising approach for computer-assisted segmentation of anatomic structures. The purpose of this study was to evaluate the accuracy and time efficiency of multi-atlas segmentation for estimating spleen volumes on clinically acquired computed tomography (CT) scans. MATERIALS AND METHODS Under an institutional review board approval, we obtained 294 de-identified (Health Insurance Portability and Accountability Act-compliant) abdominal CT scans on 78 subjects from a recent clinical trial. We compared five pipelines for obtaining splenic volumes: Pipeline 1 - manual segmentation of all scans, Pipeline 2 - automated segmentation of all scans, Pipeline 3 - automated segmentation of all scans with manual segmentation for outliers on a rudimentary visual quality check, and Pipelines 4 and 5 - volumes derived from a unidimensional measurement of craniocaudal spleen length and three-dimensional splenic index measurements, respectively. Using Pipeline 1 results as ground truth, the accuracies of Pipelines 2-5 (Dice similarity coefficient, Pearson correlation, R-squared, and percent and absolute deviation of volume from ground truth) were compared for point estimates of splenic volume and for change in splenic volume over time. Time cost was also compared for Pipelines 1-5. RESULTS Pipeline 3 was dominant in terms of both accuracy and time cost. With a Pearson correlation coefficient of 0.99, average absolute volume deviation of 23.7 cm(3), and time cost of 1 minute per scan, Pipeline 3 yielded the best results. The second-best approach was Pipeline 5, with a Pearson correlation coefficient of 0.98, absolute deviation of 46.92 cm(3), and time cost of 1 minute 30 seconds per scan. Manual segmentation (Pipeline 1) required 11 minutes per scan. CONCLUSION A computer-automated segmentation approach with manual correction of outliers generated accurate splenic volumes with reasonable time efficiency.
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