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Sofia L, Massa F, Pardini M, Arnaldi D, Bauckneht M, Morbelli S. Alzheimer's disease (AD) co-pathology in dementia with Lewy bodies (DLB): implications in the disease modification era. Eur J Nucl Med Mol Imaging 2024; 51:2151-2153. [PMID: 38285205 PMCID: PMC11139684 DOI: 10.1007/s00259-024-06619-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Accepted: 01/16/2024] [Indexed: 01/30/2024]
Affiliation(s)
- Luca Sofia
- Department of Health Science (DISSAL), University of Genoa, Via Antonio Pastore 1, 16132, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Largo Rosanna Benzi 10, 16132, Genoa, Italy
| | - Federico Massa
- IRCCS Ospedale Policlinico San Martino, Largo Rosanna Benzi 10, 16132, Genoa, Italy
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Clinical Neurology, University of Genoa, Genoa, Italy
| | - Matteo Pardini
- IRCCS Ospedale Policlinico San Martino, Largo Rosanna Benzi 10, 16132, Genoa, Italy
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Clinical Neurology, University of Genoa, Genoa, Italy
| | - Dario Arnaldi
- IRCCS Ospedale Policlinico San Martino, Largo Rosanna Benzi 10, 16132, Genoa, Italy
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Clinical Neurology, University of Genoa, Genoa, Italy
| | - Matteo Bauckneht
- Department of Health Science (DISSAL), University of Genoa, Via Antonio Pastore 1, 16132, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Largo Rosanna Benzi 10, 16132, Genoa, Italy
| | - Silvia Morbelli
- Department of Health Science (DISSAL), University of Genoa, Via Antonio Pastore 1, 16132, Genoa, Italy.
- IRCCS Ospedale Policlinico San Martino, Largo Rosanna Benzi 10, 16132, Genoa, Italy.
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Wyman-Chick KA, Chaudhury P, Bayram E, Abdelnour C, Matar E, Chiu SY, Ferreira D, Hamilton CA, Donaghy PC, Rodriguez-Porcel F, Toledo JB, Habich A, Barrett MJ, Patel B, Jaramillo-Jimenez A, Scott GD, Kane JPM. Differentiating Prodromal Dementia with Lewy Bodies from Prodromal Alzheimer's Disease: A Pragmatic Review for Clinicians. Neurol Ther 2024; 13:885-906. [PMID: 38720013 PMCID: PMC11136939 DOI: 10.1007/s40120-024-00620-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Accepted: 04/05/2024] [Indexed: 05/12/2024] Open
Abstract
This pragmatic review synthesises the current understanding of prodromal dementia with Lewy bodies (pDLB) and prodromal Alzheimer's disease (pAD), including clinical presentations, neuropsychological profiles, neuropsychiatric symptoms, biomarkers, and indications for disease management. The core clinical features of dementia with Lewy bodies (DLB)-parkinsonism, complex visual hallucinations, cognitive fluctuations, and REM sleep behaviour disorder are common prodromal symptoms. Supportive clinical features of pDLB include severe neuroleptic sensitivity, as well as autonomic and neuropsychiatric symptoms. The neuropsychological profile in mild cognitive impairment attributable to Lewy body pathology (MCI-LB) tends to include impairment in visuospatial skills and executive functioning, distinguishing it from MCI due to AD, which typically presents with impairment in memory. pDLB may present with cognitive impairment, psychiatric symptoms, and/or recurrent episodes of delirium, indicating that it is not necessarily synonymous with MCI-LB. Imaging, fluid and other biomarkers may play a crucial role in differentiating pDLB from pAD. The current MCI-LB criteria recognise low dopamine transporter uptake using positron emission tomography or single photon emission computed tomography (SPECT), loss of REM atonia on polysomnography, and sympathetic cardiac denervation using meta-iodobenzylguanidine SPECT as indicative biomarkers with slowing of dominant frequency on EEG among others as supportive biomarkers. This review also highlights the emergence of fluid and skin-based biomarkers. There is little research evidence for the treatment of pDLB, but pharmacological and non-pharmacological treatments for DLB may be discussed with patients. Non-pharmacological interventions such as diet, exercise, and cognitive stimulation may provide benefit, while evaluation and management of contributing factors like medications and sleep disturbances are vital. There is a need to expand research across diverse patient populations to address existing disparities in clinical trial participation. In conclusion, an early and accurate diagnosis of pDLB or pAD presents an opportunity for tailored interventions, improved healthcare outcomes, and enhanced quality of life for patients and care partners.
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Affiliation(s)
- Kathryn A Wyman-Chick
- Struthers Parkinson's Center and Center for Memory and Aging, Department of Neurology, HealthPartners/Park Nicollet, Bloomington, USA.
| | - Parichita Chaudhury
- Cleo Roberts Memory and Movement Center, Banner Sun Health Research Institute, Sun City, USA
| | - Ece Bayram
- Parkinson and Other Movement Disorders Center, University of California San Diego, San Diego, USA
| | - Carla Abdelnour
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Palo Alto, USA
| | - Elie Matar
- Central Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Shannon Y Chiu
- Department of Neurology, Mayo Clinic Arizona, Phoenix, USA
| | - Daniel Ferreira
- Division of Clinical Geriatrics, Center for Alzheimer Research, Karolinska Institute, Solna, Sweden
- Department of Radiology, Mayo Clinic Rochester, Rochester, USA
- Facultad de Ciencias de la Salud, Universidad Fernando Pessoa Canarias, Las Palmas, Spain
| | - Calum A Hamilton
- Translational and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, UK
| | - Paul C Donaghy
- Translational and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, UK
| | | | - Jon B Toledo
- Nantz National Alzheimer Center, Stanley Appel Department of Neurology, Houston Methodist Hospital, Houston, USA
| | - Annegret Habich
- Division of Clinical Geriatrics, Center for Alzheimer Research, Karolinska Institute, Solna, Sweden
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Matthew J Barrett
- Department of Neurology, Parkinson's and Movement Disorders Center, Virginia Commonwealth University, Richmond, USA
| | - Bhavana Patel
- Department of Neurology, College of Medicine, University of Florida, Gainesville, USA
- Norman Fixel Institute for Neurologic Diseases, University of Florida, Gainesville, USA
| | - Alberto Jaramillo-Jimenez
- Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway
- School of Medicine, Grupo de Neurociencias de Antioquia, Universidad de Antioquia, Medellín, Colombia
| | - Gregory D Scott
- Department of Pathology and Laboratory Services, VA Portland Medical Center, Portland, USA
| | - Joseph P M Kane
- Centre for Public Health, Queen's University Belfast, Belfast, UK
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Novakova L, Gajdos M, Barton M, Brabenec L, Zeleznikova Z, Moravkova I, Rektorova I. Striato-cortical functional connectivity changes in mild cognitive impairment with Lewy bodies. Parkinsonism Relat Disord 2024; 121:106031. [PMID: 38364623 DOI: 10.1016/j.parkreldis.2024.106031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 02/01/2024] [Accepted: 02/09/2024] [Indexed: 02/18/2024]
Abstract
BACKGROUND Functional connectivity changes in clinically overt neurodegenerative diseases such as dementia with Lewy bodies have been described, but studies on connectivity changes in the pre-dementia phase are scarce. OBJECTIVES We concentrated on evaluating striato-cortical functional connectivity differences between patients with Mild Cognitive Impairment with Lewy bodies and healthy controls and on assessing the relation to cognition. METHODS Altogether, we enrolled 77 participants (47 patients, of which 35 met all the inclusion criteria for the final analysis, and 30 age- and gender-matched healthy controls, of which 28 met all the inclusion criteria for the final analysis) to study the seed-based connectivity of the dorsal, middle, and ventral striatum. We assessed correlations between functional connectivity in the regions of between-group differences and neuropsychological scores of interest (visuospatial and executive domains z-scores). RESULTS Subjects with Mild Cognitive Impairment with Lewy Bodies, as compared to healthy controls, showed increased connectivity from the dorsal part of the striatum particularly to the bilateral anterior part of the temporal cortex with an association with executive functions. CONCLUSIONS We were able to capture early abnormal connectivity within cholinergic and noradrenergic pathways that correlated with cognitive functions known to be linked to cholinergic/noradrenergic deficits. The knowledge of specific alterations may improve our understanding of early neural changes in pre-dementia stages and enhance research of disease modifying therapy.
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Affiliation(s)
- Lubomira Novakova
- Brain and Mind Research Program, CEITEC, Masaryk University, Brno, Czech Republic
| | - Martin Gajdos
- Brain and Mind Research Program, CEITEC, Masaryk University, Brno, Czech Republic
| | - Marek Barton
- Brain and Mind Research Program, CEITEC, Masaryk University, Brno, Czech Republic
| | - Lubos Brabenec
- Brain and Mind Research Program, CEITEC, Masaryk University, Brno, Czech Republic
| | - Zaneta Zeleznikova
- Brain and Mind Research Program, CEITEC, Masaryk University, Brno, Czech Republic; First Department of Neurology, St. Anne's University Hospital and Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Ivona Moravkova
- Brain and Mind Research Program, CEITEC, Masaryk University, Brno, Czech Republic; First Department of Neurology, St. Anne's University Hospital and Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Irena Rektorova
- Brain and Mind Research Program, CEITEC, Masaryk University, Brno, Czech Republic; First Department of Neurology, St. Anne's University Hospital and Faculty of Medicine, Masaryk University, Brno, Czech Republic.
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Stockbauer A, Beyer L, Huber M, Kreuzer A, Palleis C, Katzdobler S, Rauchmann BS, Morbelli S, Chincarini A, Bruffaerts R, Vandenberghe R, Kramberger MG, Trost M, Garibotto V, Nicastro N, Lathuilière A, Lemstra AW, van Berckel BNM, Pilotto A, Padovani A, Ochoa-Figueroa MA, Davidsson A, Camacho V, Peira E, Bauckneht M, Pardini M, Sambuceti G, Aarsland D, Nobili F, Gross M, Vöglein J, Perneczky R, Pogarell O, Buerger K, Franzmeier N, Danek A, Levin J, Höglinger GU, Bartenstein P, Cumming P, Rominger A, Brendel M. Metabolic network alterations as a supportive biomarker in dementia with Lewy bodies with preserved dopamine transmission. Eur J Nucl Med Mol Imaging 2024; 51:1023-1034. [PMID: 37971501 PMCID: PMC10881642 DOI: 10.1007/s00259-023-06493-w] [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: 03/09/2023] [Accepted: 10/26/2023] [Indexed: 11/19/2023]
Abstract
PURPOSE Metabolic network analysis of FDG-PET utilizes an index of inter-regional correlation of resting state glucose metabolism and has been proven to provide complementary information regarding the disease process in parkinsonian syndromes. The goals of this study were (i) to evaluate pattern similarities of glucose metabolism and network connectivity in dementia with Lewy bodies (DLB) subjects with subthreshold dopaminergic loss compared to advanced disease stages and to (ii) investigate metabolic network alterations of FDG-PET for discrimination of patients with early DLB from other neurodegenerative disorders (Alzheimer's disease, Parkinson's disease, multiple system atrophy) at individual patient level via principal component analysis (PCA). METHODS FDG-PETs of subjects with probable or possible DLB (n = 22) without significant dopamine deficiency (z-score < 2 in putamen binding loss on DaT-SPECT compared to healthy controls (HC)) were scaled by global-mean, prior to volume-of-interest-based analyses of relative glucose metabolism. Single region metabolic changes and network connectivity changes were compared against HC (n = 23) and against DLB subjects with significant dopamine deficiency (n = 86). PCA was applied to test discrimination of patients with DLB from disease controls (n = 101) at individual patient level. RESULTS Similar patterns of hypo- (parietal- and occipital cortex) and hypermetabolism (basal ganglia, limbic system, motor cortices) were observed in DLB patients with and without significant dopamine deficiency when compared to HC. Metabolic connectivity alterations correlated between DLB patients with and without significant dopamine deficiency (R2 = 0.597, p < 0.01). A PCA trained by DLB patients with dopamine deficiency and HC discriminated DLB patients without significant dopaminergic loss from other neurodegenerative parkinsonian disorders at individual patient level (area-under-the-curve (AUC): 0.912). CONCLUSION Disease-specific patterns of altered glucose metabolism and altered metabolic networks are present in DLB subjects without significant dopaminergic loss. Metabolic network alterations in FDG-PET can act as a supporting biomarker in the subgroup of DLB patients without significant dopaminergic loss at symptoms onset.
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Affiliation(s)
- Anna Stockbauer
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
- Department of Neurology, University Hospital, LMU Munich, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Leonie Beyer
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
| | - Maria Huber
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
| | - Annika Kreuzer
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
| | - Carla Palleis
- Department of Neurology, University Hospital, LMU Munich, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Sabrina Katzdobler
- Department of Neurology, University Hospital, LMU Munich, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Boris-Stephan Rauchmann
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
- Department of Neuroradiology, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Silvia Morbelli
- Nuclear Medicine Uni, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- Department of Health Sciences, University of Genoa, Genoa, Italy
| | - Andrea Chincarini
- National Institute of Nuclear Physics (INFN), Genoa Section, Genoa, Italy
| | - Rose Bruffaerts
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, Louvain, Belgium
- Neurology Department, University Hospitals Leuven, Louvain, Belgium
- Biomedical Research Institute, Hasselt University, Hasselt, Belgium
- Experimental Neurobiology Unit, Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - Rik Vandenberghe
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, Louvain, Belgium
- Neurology Department, University Hospitals Leuven, Louvain, Belgium
| | - Milica G Kramberger
- Department of Neurology and Department for Nuclear Medicine, University Medical Centre, Ljubljana, Slovenia
| | - Maja Trost
- Department of Neurology and Department for Nuclear Medicine, University Medical Centre, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Valentina Garibotto
- Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospitals and NIMTLab, Geneva University, Geneva, Switzerland
| | - Nicolas Nicastro
- Department of Clinical Neurosciences, Geneva University Hospitals, Geneva, Switzerland
| | - Aurélien Lathuilière
- LANVIE (Laboratoire de Neuroimagerie du Vieillissement), Department of Psychiatry, Geneva University Hospitals, Geneva, Switzerland
| | - Afina W Lemstra
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Bart N M van Berckel
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Andrea Pilotto
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
- Parkinson's Disease Rehabilitation Centre, FERB ONLUS - S. Isidoro Hospital, Trescore Balneario, BG, Italy
| | - Alessandro Padovani
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Miguel A Ochoa-Figueroa
- Department of Clinical Physiology in Linköping, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- Department of Diagnostic Radiology, Linköping University Hospital, Linköping, Sweden
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| | - Anette Davidsson
- Department of Clinical Physiology in Linköping, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Valle Camacho
- Servicio de Medicina Nuclear, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Enrico Peira
- National Institute of Nuclear Physics (INFN), Genoa Section, Genoa, Italy
- Department of Neuroscience (DINOGMI), University of Genoa, Genoa, Italy
| | - Matteo Bauckneht
- Nuclear Medicine Uni, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Matteo Pardini
- Department of Neuroscience (DINOGMI), University of Genoa, Genoa, Italy
- Clinical Neurology, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Gianmario Sambuceti
- Nuclear Medicine Uni, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- Department of Health Sciences, University of Genoa, Genoa, Italy
| | - Dag Aarsland
- Centre of Age-Related Medicine (SESAM), Stavanger University Hospital, Stavanger, Norway
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology, and Neuroscience, King's College, London, UK
| | - Flavio Nobili
- Department of Neuroscience (DINOGMI), University of Genoa, Genoa, Italy
- Clinical Neurology, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Mattes Gross
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
| | - Jonathan Vöglein
- Department of Neurology, University Hospital, LMU Munich, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Robert Perneczky
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, S10 2HQ, UK
- Ageing Epidemiology (AGE) Research Unit, School of Public Health, Imperial College, London, UK
| | - Oliver Pogarell
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Katharina Buerger
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Institut for Stroke and Dementia Research, University of Munich, Munich, Germany
| | | | - Adrian Danek
- Department of Neurology, University Hospital, LMU Munich, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Johannes Levin
- Department of Neurology, University Hospital, LMU Munich, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Günter U Höglinger
- Department of Neurology, University Hospital, LMU Munich, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Peter Bartenstein
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Paul Cumming
- Department of Nuclear Medicine, University of Bern, Inselspital Bern, Bern, Switzerland
- School of Psychology and Counselling and IHBI, Queensland University of Technology, Brisbane, Australia
| | - Axel Rominger
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
- Department of Nuclear Medicine, University of Bern, Inselspital Bern, Bern, Switzerland
| | - Matthias Brendel
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany.
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.
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Imarisio A, Pilotto A, Premi E, Caminiti SP, Presotto L, Sala A, Zatti C, Lupini A, Turrone R, Paghera B, Borroni B, Perani D, Padovani A. Atypical brain FDG-PET patterns increase the risk of long-term cognitive and motor progression in Parkinson's disease. Parkinsonism Relat Disord 2023; 115:105848. [PMID: 37716228 DOI: 10.1016/j.parkreldis.2023.105848] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Revised: 08/29/2023] [Accepted: 09/04/2023] [Indexed: 09/18/2023]
Abstract
INTRODUCTION Brain hypometabolism patterns have been previously associated with cognitive decline in Parkinson's disease (PD). Our aim is to evaluate the impact of single-subject fluorodeoxyglucose (FDG)-PET brain hypometabolism on long-term cognitive and motor outcomes in PD. METHODS Forty-nine non-demented PD patients with baseline brain FDG-PET data underwent an extensive clinical follow-up for 8 years. The ability of FDG-PET to predict long-term cognitive and motor progression was evaluated using Cox regression and mixed ANCOVA models. RESULTS Participants were classified according to FDG-PET pattern in PD with typical (n = 26) and atypical cortical metabolism (n = 23). Patients with atypical brain hypometabolic patterns showed higher incidence of dementia (60% vs 3%; HR = 18.3), hallucinations (56% vs 7%, HR = 7.3) and faster motor decline compared to typical pattern group. CONCLUSION This study argues for specific patterns of FDG-PET cortical hypometabolism in PD as a prognostic marker for long term cognitive and motor outcomes at single-subject level.
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Affiliation(s)
- Alberto Imarisio
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Andrea Pilotto
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy; Neurology Unit, Department of Continuity of Care and Frailty, ASST Spedali Civili Brescia University Hospital, Italy; Laboratory of Digital Neurology and Biosensors, University of Brescia, Italy.
| | - Enrico Premi
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy; Stroke Unit, Department of Neurological and Vision Sciences, ASST Spedali Civili, Brescia, Italy
| | - Silvia Paola Caminiti
- In Vivo Human Molecular and Structural Neuroimaging Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Luca Presotto
- Department of Physics "G. Occhialini", University of Milano - Bicocca, Milan, Italy; Milan Centre for Neuroscience, University of Milano - Bicocca, Milan, Italy
| | - Arianna Sala
- In Vivo Human Molecular and Structural Neuroimaging Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Cinzia Zatti
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy; Neurology Unit, Department of Continuity of Care and Frailty, ASST Spedali Civili Brescia University Hospital, Italy; Laboratory of Digital Neurology and Biosensors, University of Brescia, Italy
| | - Alessandro Lupini
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy; Neurology Unit, Department of Continuity of Care and Frailty, ASST Spedali Civili Brescia University Hospital, Italy; Laboratory of Digital Neurology and Biosensors, University of Brescia, Italy
| | - Rosanna Turrone
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy; Neurology Unit, Department of Continuity of Care and Frailty, ASST Spedali Civili Brescia University Hospital, Italy
| | - Barbara Paghera
- Nuclear Medicine Unit, University of Brescia, Brescia, Italy
| | - Barbara Borroni
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Daniela Perani
- In Vivo Human Molecular and Structural Neuroimaging Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Nuclear Medicine Unit, San Raffaele Hospital, Milan, Italy
| | - Alessandro Padovani
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy; Neurology Unit, Department of Continuity of Care and Frailty, ASST Spedali Civili Brescia University Hospital, Italy; Laboratory of Digital Neurology and Biosensors, University of Brescia, Italy
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Jellinger KA. Mild cognitive impairment in multiple system atrophy: a brain network disorder. J Neural Transm (Vienna) 2023; 130:1231-1240. [PMID: 37581647 DOI: 10.1007/s00702-023-02682-x] [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: 06/23/2023] [Accepted: 08/02/2023] [Indexed: 08/16/2023]
Abstract
Cognitive impairment (CI), previously considered as a non-supporting feature of multiple system atrophy (MSA), according to the second consensus criteria, is not uncommon in this neurodegenerative disorder that is clinically characterized by a variable combination of autonomic failure, levodopa-unresponsive parkinsonism, motor and cerebellar signs. Mild cognitive impairment (MCI), a risk factor for dementia, has been reported in up to 44% of MSA patients, with predominant impairment of executive functions/attention, visuospatial and verbal deficits, and a variety of non-cognitive and neuropsychiatric symptoms. Despite changing concept of CI in this synucleinopathy, the underlying pathophysiological mechanisms remain controversial. Recent neuroimaging studies revealed volume reduction in the left temporal gyrus, and in the dopaminergic nucleus accumbens, while other morphometric studies did not find any gray matter atrophy, in particular in the frontal cortex. Functional analyses detected decreased functional connectivity in the left parietal lobe, bilateral cuneus, left precuneus, limbic structures, and cerebello-cerebral circuit, suggesting that structural and functional changes in the subcortical limbic structures and disrupted cerebello-cerebral networks may be associated with early cognitive decline in MSA. Whereas moderate to severe CI in MSA in addition to prefrontal-striatal degeneration is frequently associated with cortical Alzheimer and Lewy co-pathologies, neuropathological studies of the MCI stage of MSA are unfortunately not available. In view of the limited structural and functional findings in MSA cases with MCI, further neuroimaging and neuropathological studies are warranted in order to better elucidate its pathophysiological mechanisms and to develop validated biomarkers as basis for early diagnosis and future adequate treatment modalities in order to prevent progression of this debilitating disorder.
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Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, 1150, Vienna, Austria.
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Donaghy PC, Carrarini C, Ferreira D, Habich A, Aarsland D, Babiloni C, Bayram E, Kane JP, Lewis SJ, Pilotto A, Thomas AJ, Bonanni L. Research diagnostic criteria for mild cognitive impairment with Lewy bodies: A systematic review and meta-analysis. Alzheimers Dement 2023; 19:3186-3202. [PMID: 37096339 PMCID: PMC10695683 DOI: 10.1002/alz.13105] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 03/22/2023] [Accepted: 03/23/2023] [Indexed: 04/26/2023]
Abstract
INTRODUCTION Operationalized research criteria for mild cognitive impairment with Lewy bodies (MCI-LB) were published in 2020. The aim of this systematic review and meta-analysis was to review the evidence for the diagnostic clinical features and biomarkers in MCI-LB set out in the criteria. METHODS MEDLINE, PubMed, and Embase were searched on 9/28/22 for relevant articles. Articles were included if they presented original data reporting the rates of diagnostic features in MCI-LB. RESULTS Fifty-seven articles were included. The meta-analysis supported the inclusion of the current clinical features in the diagnostic criteria. Evidence for striatal dopaminergic imaging and meta-iodobenzylguanidine cardiac scintigraphy, though limited, supports their inclusion. Quantitative electroencephalogram (EEG) and fluorodeoxyglucose positron emission tomography (PET) show promise as diagnostic biomarkers. DISCUSSION The available evidence largely supports the current diagnostic criteria for MCI-LB. Further evidence will help refine the diagnostic criteria and understand how best to apply them in clinical practice and research. HIGHLIGHTS A meta-analysis of the diagnostic features of MCI-LB was carried out. The four core clinical features were more common in MCI-LB than MCI-AD/stable MCI. Neuropsychiatric and autonomic features were also more common in MCI-LB. More evidence is needed for the proposed biomarkers. FDG-PET and quantitative EEG show promise as diagnostic biomarkers in MCI-LB.
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Affiliation(s)
- Paul C Donaghy
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Claudia Carrarini
- Department of Neuroscience, Catholic University of Sacred Heart, Rome, Italy
- IRCCS San Raffaele Pisana, Rome, Italy
| | - Daniel Ferreira
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Annegret Habich
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Dag Aarsland
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Centre for Age-Related Diseases, Stavanger University Hospital, Stavanger, Norway
| | - Claudio Babiloni
- Department of Physiology and Pharmacology "Vittorio Erspamer", Sapienza University of Rome, Rome, Italy
- Hospital San Raffaele of Cassino, Cassino, Italy
| | - Ece Bayram
- Parkinson and Other Movement Disorders Center, Department of Neurosciences, University of California San Diego, California, USA
| | - Joseph Pm Kane
- Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - Simon Jg Lewis
- Brain and Mind Centre, School of Medical Sciences, University of Sydney, Sydney, Australia
| | - Andrea Pilotto
- Department of Clinical and Experimental Sciences, Neurology Unit, University of Brescia, Brescia, Italy
| | - Alan J Thomas
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Laura Bonanni
- Department of Medicine and Aging Sciences, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy
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8
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Different z-score cut-offs for striatal binding ratio (SBR) of DaT SPECT are needed to support the diagnosis of Parkinson's Disease (PD) and dementia with Lewy bodies (DLB). Eur J Nucl Med Mol Imaging 2023; 50:1090-1102. [PMID: 36471041 DOI: 10.1007/s00259-022-06069-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 11/29/2022] [Indexed: 12/12/2022]
Abstract
PURPOSE A cut-off of -2 z-score for striatal or putaminal SBR has been to date arbitrarily used to define an abnormal DaT SPECT in patients with suspected neurodegenerative parkinsonism. We aimed to experimentally identify the most accurate z-score cut-offs for SBR of striatal and substriatal regions to independently discriminate PD and DLB, with respect to essential tremor (ET) and Alzheimer's disease (AD) respectively. METHODS Two-hundred twenty-five patients undergoing DaT SPECT were enrolled (seventy-five de novo PD, eighty ET, fifty DLB, and twenty AD). Semiquantification was computed by means of Datquant® software which returns measures of striatal SBR and z-scores with respect to 118 healthy volunteers belonging to the Parkinson's Progression Markers Initiative (PPMI). ROC analysis was used to identify most accurate cut-offs for z-score for striatum and substriatal regions (clinical diagnosis at follow-up as gold standard). RESULTS Posterior putamen of the most affected hemisphere (MAH) with a z-score cut-off of - 1.27 demonstrated the highest accuracy to differentiate between PD and ET (sensitivity 0.97, specificity 0.94). The whole putamen (z-score cut-off - 0.96) was the most accurate parameter to support the diagnosis of DLB (sensitivity 0.74, specificity 0.95). Putamen to caudate ratio was accurate to detect PD (especially in early stages) while not DLB patients. CONCLUSION We experimentally demonstrated that different substriatal regions and cut-offs for z-score of SBR should be considered to support the diagnosis of either PD or DLB. The identified less conservative cut-offs showed higher sensitivity without a measurable reduction in specificity with respect to the arbitrary - 2 z-score.
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Caminiti SP, Pilotto A, Premi E, Galli A, Ferrari E, Gipponi S, Cottini E, Paghera B, Perani D, Padovani A. Dopaminergic connectivity reconfiguration in the dementia with Lewy bodies continuum. Parkinsonism Relat Disord 2023; 108:105288. [PMID: 36724569 DOI: 10.1016/j.parkreldis.2023.105288] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 01/10/2023] [Accepted: 01/14/2023] [Indexed: 01/18/2023]
Abstract
INTRODUCTION The impairment of nigrostriatal dopaminergic network is a core feature of dementia with Lewy bodies (DLB). The involvement and reconfiguration of extranigrostriatal dopaminergic circuitries in the DLB continuum is still theme of debate. We aim to investigate in vivo the dynamic changes of local and long-distance dopaminergic networks across DLB continuum. METHODS Forty-nine patients (including 29 with dementia and 20 prodromal cases) and fifty-two controls entered the study. Each subject underwent a standardized clinical and neurological examination and performed Brain SPECT to measuring brain dopamine transporter (DAT) density. Spatially normalized images underwent the occipital-adjusted specific binding to obtain parametric data. The ANCOVA was applied to assess 123I-FP-CIT differences between pDLB, overt-DLB and CG, considering age, gender, and motor impairment as variables of no interest. Between-nodes correlation analysis measured molecular connectivity within the ventral and dorsal dopaminergic networks. RESULTS Prodromal DLB and DLB patients showed comparable nigrostriatal deficits in basal ganglia regions compared with CG. Molecular connectivity analyses revealed extensive connectivity losses, more in ventral than in dorsal dopaminergic network in DLB dementia. Conversely, the prodromal group showed increased connectivity compared to CG, mostly putamen-thalamus-cortical and striatal-cortical connectivity. CONCLUSIONS This study indicates a comparable basal ganglia deficit in nigrostriatal projections in DLB continuum and supports a different reorganization of extra-striatal dopaminergic connectivity in the prodromal phases of DLB. The shift from an increased to a decreased bilateral putamen-thalamus-cortex connectivity might be a hallmark of transition from prodromal to dementia DLB stages.
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Affiliation(s)
- Silvia Paola Caminiti
- Vita-Salute San Raffaele University, Milan, Italy; IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Andrea Pilotto
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.
| | - Enrico Premi
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy; Stroke Unit, Azienda Socio Sanitaria Territoriale Spedali Civili, Spedali Civili Hospital, Brescia, Italy
| | - Alice Galli
- Vita-Salute San Raffaele University, Milan, Italy; Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Elisabetta Ferrari
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Stefano Gipponi
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Elisabetta Cottini
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Barbara Paghera
- Nuclear Medicine Unit, University of Brescia, Brescia, Italy
| | - Daniela Perani
- Vita-Salute San Raffaele University, Milan, Italy; IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Alessandro Padovani
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy; Stroke Unit, Azienda Socio Sanitaria Territoriale Spedali Civili, Spedali Civili Hospital, Brescia, Italy
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10
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Gan J, Chen Z, Shi Z, Li X, Liu S, Liu Y, Zhu H, Shen L, Zhang G, You Y, Guo Q, Zhang N, Lv Y, Gang B, Yuan J, Ji Y. Temporal Variation in Disease Onset and Clinical Features of Lewy Body Disease in China. J Alzheimers Dis 2022; 90:1263-1275. [DOI: 10.3233/jad-220657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: Lewy body dementia is the second most common neurodegenerative dementia, but data concerning the onset age and clinical features in the prodromal stage remain limited in China. Objective: To investigate the associations between onset age and clinical manifestations of cognitive impairment with Lewy bodies in a large-sample cohort. Methods: We included 74 patients with mild cognitive impairment with Lewy bodies (MCI-LB), 533 patients with dementia with Lewy bodies (DLB), 118 patients with Parkinson’s disease with MCI (PD-MCI), and 313 patients with Parkinson’s disease dementia (PDD) in this multicenter cohort from 22 memory clinics of China from 1 January 2018 to 31 March 2022. The onset age, clinical manifestations, and neuropsychological assessments were recorded and analyzed after reviewing the medical records. Results: The average onset age of memory loss was 68.28 (±7.00) years, and parkinsonism happened 2.00 (±1.24) years later for patients with MCI-LB. The average onset age of parkinsonism was 60.56 (±8.96) years, and the memory loss happened 3.49 (±3.02) years later for patients with PD-MCI. Rapid eye movement sleep behavior disorder and visual hallucinations were frequently reported in MCI-LB, DLB, and PDD, while visual hallucinations were least frequently reported in PD-MCI. Lower scores of MMSE and depression, and higher scores of activities of daily living and delusions, were independently associated with older onset age in DLB. Conclusion: The onset of PD-MCI precedes MCI-LB, and memory loss occurs 3 years after parkinsonism. The onset age is associated with cognition and neuropsychiatric symptoms in process.
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Affiliation(s)
- Jinghuan Gan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China National Clinical Research Centerfor Neurological Diseases, Beijing, China
| | - Zhichao Chen
- Department of Neurology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Zhihong Shi
- Tianjin Key Laboratory of Cerebrovascular and of Neurodegenerative Diseases, Tianjin Dementia Institute, Departmentof Neurology, Tianjin Huanhu Hospital, Tianjin, China
| | - Xudong Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China National Clinical Research Centerfor Neurological Diseases, Beijing, China
| | - Shuai Liu
- Tianjin Key Laboratory of Cerebrovascular and of Neurodegenerative Diseases, Tianjin Dementia Institute, Departmentof Neurology, Tianjin Huanhu Hospital, Tianjin, China
| | - Yiming Liu
- Department of Neurology, Qilu Hospital, ShandongUniversity, Shandong, China
| | - Hongcan Zhu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Lu Shen
- Department of Neurology, Xiangya Hospital, Central South University, Hunan, China
| | - Guili Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China National Clinical Research Centerfor Neurological Diseases, Beijing, China
| | - Yong You
- Department of Neurology, Second Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Qihao Guo
- Department of Gerontology, Shanghai Jiao TongUniversity Affiliated Sixth People’s Hospital, Shanghai, China
| | - Nan Zhang
- Department of Neurology,Tianjin Medical University General Hospital, Tianjin, China
| | - Yang Lv
- Department of Geriatrics, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Baozhi Gang
- Department of Neurology, The First AffiliatedHospital of Harbin Medical University, Harbin, China
| | - Junliang Yuan
- Department of Neurology, Peking University Sixth Hospital, Beijing, China
| | - Yong Ji
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China National Clinical Research Centerfor Neurological Diseases, Beijing, China
- Tianjin Key Laboratory of Cerebrovascular and of Neurodegenerative Diseases, Tianjin Dementia Institute, Departmentof Neurology, Tianjin Huanhu Hospital, Tianjin, China
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11
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Mattioli P, Pardini M, Girtler N, Brugnolo A, Orso B, Andrea D, Calizzano F, Mancini R, Massa F, Michele T, Bauckneht M, Morbelli S, Sambuceti G, Flavio N, Arnaldi D. Cognitive and Brain Metabolism Profiles of Mild Cognitive Impairment in Prodromal Alpha-Synucleinopathy. J Alzheimers Dis 2022; 90:433-444. [DOI: 10.3233/jad-220653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: Mild cognitive impairment (MCI) is a heterogeneous condition. Idiopathic REM sleep behavior disorder (iRBD) can be associated with MCI (MCI-RBD). Objective: To investigate neuropsychological and brain metabolism features of patients with MCI-RBD by comparison with matched MCI-AD patients. To explore their predictive value toward conversion to a full-blown neurodegenerative disease. Methods: Seventeen MCI-RBD patients (73.6±6.5 years) were enrolled. Thirty-four patients with MCI-AD were matched for age (74.8±4.4 years), Mini-Mental State Exam score and education with a case-control criterion. All patients underwent a neuropsychological assessment and brain 18F-FDG-PET. Images were compared between groups to identify hypometabolic volumes of interest (MCI-RBD-VOI and MCI-AD-VOI). The dependency of whole-brain scaled metabolism levels in MCI-RBD-VOI and MCI-AD-VOI on neuropsychological test scores was explored with linear regression analyses in both groups, adjusting for age and education. Survival analysis was performed to investigate VOIs phenoconversion prediction power. Results: MCI-RBD group scored lower in executive functions and higher in verbal memory compared to MCI-AD group. Also, compared with MCI-AD, MCI-RBD group showed relative hypometabolism in a posterior brain area including cuneus, precuneus, and occipital regions while the inverse comparison revealed relative hypometabolism in the hippocampus/parahippocampal areas in MCI-AD group. MCI-RBD-VOI metabolism directly correlated with executive functions in MCI-RBD (p = 0.04). MCI-AD-VOI metabolism directly correlated with verbal memory in MCI-AD (p = 0.001). MCI-RBD-VOI metabolism predicted (p = 0.03) phenoconversion to an alpha-synucleinopathy. MCI-AD-VOI metabolism showed a trend (p = 0.07) in predicting phenoconversion to dementia. Conclusion: MCI-RBD and MCI-AD showed distinct neuropsychological and brain metabolism profiles, that may be helpful for both diagnosis and prognosis purposes.
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Affiliation(s)
- Pietro Mattioli
- Department of Neuroscience (DINOGMI), University of Genoa, Genoa, Italy
| | - Matteo Pardini
- Department of Neuroscience (DINOGMI), University of Genoa, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Nicola Girtler
- Department of Neuroscience (DINOGMI), University of Genoa, Genoa, Italy
- Clinical Psychology Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Andrea Brugnolo
- Department of Neuroscience (DINOGMI), University of Genoa, Genoa, Italy
- Clinical Psychology Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Beatrice Orso
- Department of Neuroscience (DINOGMI), University of Genoa, Genoa, Italy
| | - Donniaquio Andrea
- Department of Neuroscience (DINOGMI), University of Genoa, Genoa, Italy
| | | | - Raffaele Mancini
- Department of Neuroscience (DINOGMI), University of Genoa, Genoa, Italy
| | - Federico Massa
- Department of Neuroscience (DINOGMI), University of Genoa, Genoa, Italy
| | - Terzaghi Michele
- Unit of Sleep Medicine and Epilepsy, IRCCS Mondino Foundation, Pavia, Italy
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Matteo Bauckneht
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- Nuclear Medicine Unit, Dept. of Health Sciences (DISSAL), University of Genoa, Genoa, Italy
| | - Silvia Morbelli
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- Nuclear Medicine Unit, Dept. of Health Sciences (DISSAL), University of Genoa, Genoa, Italy
| | - Gianmario Sambuceti
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- Nuclear Medicine Unit, Dept. of Health Sciences (DISSAL), University of Genoa, Genoa, Italy
| | - Nobili Flavio
- Department of Neuroscience (DINOGMI), University of Genoa, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Dario Arnaldi
- Department of Neuroscience (DINOGMI), University of Genoa, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
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12
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Yoon EJ, Lee JY, Kim H, Yoo D, Shin JH, Nam H, Jeon B, Kim YK. Brain Metabolism Related to Mild Cognitive Impairment and Phenoconversion in Patients With Isolated REM Sleep Behavior Disorder. Neurology 2022; 98:e2413-e2424. [PMID: 35437260 PMCID: PMC9231839 DOI: 10.1212/wnl.0000000000200326] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 02/17/2022] [Indexed: 11/15/2022] Open
Abstract
Background and Objectives Mild cognitive impairment (MCI) in isolated REM sleep behavior disorder (iRBD) is a risk factor for subsequent neurodegeneration. We aimed to identify brain metabolism and functional connectivity changes related to MCI in patients with iRBD and the neuroimaging markers' predictive value for phenoconversion. Methods This is a prospective cohort study of patients with iRBD with a mean follow-up of 4.2 ± 2.6 years. At baseline, patients with iRBD and age- and sex-matched healthy controls (HCs) underwent 18F-fluorodeoxyglucose (FDG)–PET and resting-state fMRI scans and a comprehensive neuropsychological test battery. Voxel-wise group comparisons for FDG-PET data were performed using a general linear model. Seed-based connectivity maps were computed using brain regions showing significant hypometabolism associated with MCI in patients with iRBD and compared between groups. A Cox regression analysis was applied to investigate the association between brain metabolism and risk of phenoconversion. Results Forty patients with iRBD, including 21 with MCI (iRBD-MCI) and 19 with normal cognition (iRBD-NC), and 24 HCs were included in the study. The iRBD-MCI group revealed relative hypometabolism in the inferior parietal lobule, lateral and medial occipital, and middle and inferior temporal cortex bilaterally compared with HC and the iRBD-NC group. In seed-based connectivity analyses, the iRBD-MCI group exhibited decreased functional connectivity of the left angular gyrus with the occipital cortex. Of 40 patients with iRBD, 12 patients converted to Parkinson disease (PD) or dementia with Lewy bodies (DLB). Hypometabolism of the occipital pole (hazard ratio [95% CI] 6.652 [1.387–31.987]), medial occipital (4.450 [1.143–17.327]), and precuneus (3.635 [1.009–13.093]) was associated with higher phenoconversion rate to PD/DLB. Discussion MCI in iRBD is related to functional and metabolic changes in broad brain areas, particularly the occipital and parietal areas. Moreover, hypometabolism in these brain regions was a predictor of phenoconversion to PD or DLB. Evaluation of cognitive function and neuroimaging characteristics could be useful for risk stratification in patients with iRBD.
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Affiliation(s)
- Eun Jin Yoon
- Memory Network Medical Research Center, Seoul National University, Seoul, Korea, Republic of.,Department of Nuclear Medicine, Seoul National University-Seoul Metropolitan Government Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea, Republic of
| | - Jee-Young Lee
- Department of Neurology, Seoul National University-Seoul Metropolitan Government Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea, Republic of
| | - Heejung Kim
- Department of Nuclear Medicine, Seoul National University-Seoul Metropolitan Government Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea, Republic of.,Institute of Radiation Medicine, Medical Research Center, Seoul National University, Seoul, Korea, Republic of
| | - Dallah Yoo
- Department of Neurology, Seoul National University-Seoul Metropolitan Government Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea, Republic of.,Department of Neurology, Kyung Hee University Hospital, Seoul, Korea, Republic of
| | - Jung Hwan Shin
- Department of Neurology, Seoul National University-Seoul Metropolitan Government Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea, Republic of
| | - Hyunwoo Nam
- Department of Neurology, Seoul National University-Seoul Metropolitan Government Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea, Republic of
| | - Beomseok Jeon
- Department of Neurology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea, Republic of
| | - Yu Kyeong Kim
- Department of Nuclear Medicine, Seoul National University-Seoul Metropolitan Government Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea, Republic of
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13
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Bauckneht M, Chiola S, Donegani MI, Raffa S, Miceli A, Ferrarazzo G, Morbelli S. Central Nervous System Imaging in Movement Disorders. Nucl Med Mol Imaging 2022. [DOI: 10.1016/b978-0-12-822960-6.00095-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
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14
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Kantarci K, Boeve BF, Przybelski SA, Lesnick TG, Chen Q, Fields J, Schwarz CG, Senjem ML, Gunte JL, Jack CR, Min P, Jain M, Miyagawa T, Savica R, Graff-Radford J, Botha H, Jones DT, Knopman DS, Graff-Radford N, Ferman TJ, Petersen RC, Lowe VJ. FDG PET metabolic signatures distinguishing prodromal DLB and prodromal AD. Neuroimage Clin 2021; 31:102754. [PMID: 34252877 PMCID: PMC8278422 DOI: 10.1016/j.nicl.2021.102754] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Revised: 06/29/2021] [Accepted: 06/30/2021] [Indexed: 11/25/2022]
Abstract
BACKGROUND AND PURPOSE Patients with dementia with Lewy bodies (DLB) are characterized by hypometabolism in the parieto-occipital cortex and the cingulate island sign (CIS) on 18F-fluorodeoxyglucose (FDG) PET. Whether this pattern of hypometabolism is present as early as the prodromal stage of DLB is unknown. We investigated the pattern of hypometabolism in patients with mild cognitive impairment (MCI) who progressed to probable DLB compared to MCI patients who progressed to Alzheimer's disease (AD) dementia and clinically unimpaired (CU) controls. METHODS Patients with MCI from the Mayo Clinic Alzheimer's Disease Research Center who underwent FDG PET at baseline and progressed to either probable DLB (MCI-DLB; n = 17) or AD dementia (MCI-AD; n = 41) during follow-up, and a comparison cohort of CU controls (n = 100) were included. RESULTS Patients with MCI-DLB had hypometabolism in the parieto-occipital cortex extending into temporal lobes, substantia nigra and thalamus. When compared to MCI-AD, medial temporal and posterior cingulate metabolism were preserved in patients with MCI-DLB, accompanied by greater hypometabolism in the substantia nigra in MCI-DLB compared to MCI-AD. In distinguishing MCI-DLB from MCI-AD at the maximum value of Youden's index, CIS ratio was highly specific (90%) but not sensitive (59%), but a higher medial temporal to substantia nigra ratio was both sensitive (94%) and specific (83%). CONCLUSION FDG PET is a potential biomarker for the prodromal stage of DLB. A higher medial temporal metabolism and CIS ratio, and lower substantia nigra metabolism have additive value in distinguishing prodromal DLB and AD.
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Affiliation(s)
- Kejal Kantarci
- Department of Radiology, Mayo Clinic, Rochester, MN, USA.
| | | | | | - Timothy G Lesnick
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Qin Chen
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Julie Fields
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | | | - Matthew L Senjem
- Department of Information Technology, Mayo Clinic, Rochester, MN, USA
| | - Jeffrey L Gunte
- Department of Information Technology, Mayo Clinic, Rochester, MN, USA
| | | | - Paul Min
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Manoj Jain
- Department of Radiology, Mayo Clinic, Jacksonville, FL, USA
| | - Toji Miyagawa
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Rodolfo Savica
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | | | - Hugo Botha
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - David T Jones
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | | | | | - Tanis J Ferman
- Department of Psychiatry and Psychology, Mayo Clinic, Jacksonville, FL, USA
| | | | - Val J Lowe
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
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15
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Roberts G, Donaghy PC, Lloyd J, Durcan R, Petrides G, Colloby SJ, Lawley S, Ciafone J, Hamilton CA, Firbank M, Allan L, Barnett N, Barker S, Olsen K, Howe K, Ali T, Taylor JP, O'Brien J, Thomas AJ. Accuracy of dopaminergic imaging as a biomarker for mild cognitive impairment with Lewy bodies. Br J Psychiatry 2021; 218:276-282. [PMID: 33355065 DOI: 10.1192/bjp.2020.234] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
BACKGROUND Dopaminergic imaging is an established biomarker for dementia with Lewy bodies, but its diagnostic accuracy at the mild cognitive impairment (MCI) stage remains uncertain. AIMS To provide robust prospective evidence of the diagnostic accuracy of dopaminergic imaging at the MCI stage to either support or refute its inclusion as a biomarker for the diagnosis of MCI with Lewy bodies. METHOD We conducted a prospective diagnostic accuracy study of baseline dopaminergic imaging with [123I]N-ω-fluoropropyl-2β-carbomethoxy-3β-(4-iodophenyl)nortropane single-photon emission computerised tomography (123I-FP-CIT SPECT) in 144 patients with MCI. Images were rated as normal or abnormal by a panel of experts with access to striatal binding ratio results. Follow-up consensus diagnosis based on the presence of core features of Lewy body disease was used as the reference standard. RESULTS At latest assessment (mean 2 years) 61 patients had probable MCI with Lewy bodies, 26 possible MCI with Lewy bodies and 57 MCI due to Alzheimer's disease. The sensitivity of baseline FP-CIT visual rating for probable MCI with Lewy bodies was 66% (95% CI 52-77%), specificity 88% (76-95%) and accuracy 76% (68-84%), with positive likelihood ratio 5.3. CONCLUSIONS It is over five times as likely for an abnormal scan to be found in probable MCI with Lewy bodies than MCI due to Alzheimer's disease. Dopaminergic imaging appears to be useful at the MCI stage in cases where Lewy body disease is suspected clinically.
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Affiliation(s)
- Gemma Roberts
- Translational and Clinical Research Institute, Newcastle University, UK; and Nuclear Medicine Department, Royal Victoria Infirmary, UK
| | - Paul C Donaghy
- Translational and Clinical Research Institute, Newcastle University, UK
| | - Jim Lloyd
- Translational and Clinical Research Institute, Newcastle University, UK; and Nuclear Medicine Department, Royal Victoria Infirmary, UK
| | - Rory Durcan
- Translational and Clinical Research Institute, Newcastle University, UK
| | | | - Sean J Colloby
- Translational and Clinical Research Institute, Newcastle University, UK
| | - Sarah Lawley
- Translational and Clinical Research Institute, Newcastle University, UK
| | - Joanna Ciafone
- Translational and Clinical Research Institute, Newcastle University, UK
| | - Calum A Hamilton
- Translational and Clinical Research Institute, Newcastle University, UK
| | - Michael Firbank
- Translational and Clinical Research Institute, Newcastle University, UK
| | - Louise Allan
- University of Exeter Medical School, University of Exeter, UK
| | - Nicola Barnett
- Translational and Clinical Research Institute, Newcastle University, UK
| | - Sally Barker
- Translational and Clinical Research Institute, Newcastle University, UK
| | - Kirsty Olsen
- Translational and Clinical Research Institute, Newcastle University, UK
| | - Kim Howe
- Nuclear Medicine Department, Royal Victoria Infirmary, UK
| | - Tamir Ali
- Nuclear Medicine Department, Royal Victoria Infirmary, UK
| | - John-Paul Taylor
- Translational and Clinical Research Institute, Newcastle University, UK
| | - John O'Brien
- Department of Psychiatry, University of Cambridge School of Clinical Medicine, UK
| | - Alan J Thomas
- Translational and Clinical Research Institute, Newcastle University, UK
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16
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Boccalini C, Carli G, Pilotto A, Padovani A, Perani D. Gender-Related Vulnerability of Dopaminergic Neural Networks in Parkinson's Disease. Brain Connect 2020; 11:3-11. [PMID: 33198485 DOI: 10.1089/brain.2020.0781] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
Background: In Parkinson's disease (PD), neurodegeneration of dopaminergic systems leads to motor and non-motor abnormalities. Sex might influence the clinical PD phenotypes and progression. Previous molecular imaging data focused only on the nigro-striato-cortical dopamine system that appeared more preserved in women. There is still a lack of evidence on gender/sex differences in the mesolimbic dopaminergic system. We aimed at assessing PD gender differences in both the dopaminergic pathways, by using a brain metabolic connectivity approach. This is based on the evidence of a significant coupling between the neurotransmission and metabolic impairments. Methods: We included 34 idiopathic PD patients (Female/Male: 16/18) and 34 healthy controls for comparison. The molecular architecture of both the dopaminergic networks was estimated throughout partial correlation analyses using brain metabolism data obtained by fluorine-18-fluorodeoxyglucose positron emission tomography (threshold set at p < 0.01, corrected for Bonferroni multiple comparisons). Results: Male patients were characterized by a widespread altered connectivity in the nigro-striato-cortical network and a sparing of the mesolimbic pathway. On the contrary, PD females showed a severe altered connectivity in the mesolimbic network and only a partial reconfiguration of the nigro-striato-cortical network. Discussion: Our findings add remarkable knowledge on the neurobiology of gender differences in PD, with the identification of specific neural vulnerabilities. The gender differences here revealed might be due to the combination of both biological and sociodemographic life factors. Gender differences in PD should be considered also for treatments and the targeting of modifiable risk factors.
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Affiliation(s)
- Cecilia Boccalini
- Vita-Salute San Raffaele University, Milan, Italy.,In Vivo Human Molecular and Structural Neuroimaging Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Giulia Carli
- Vita-Salute San Raffaele University, Milan, Italy.,In Vivo Human Molecular and Structural Neuroimaging Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Andrea Pilotto
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.,Parkinson's Disease Rehabilitation Centre, FERB ONLUS S. Isidoro Hospital, Trescore, Italy
| | - Alessandro Padovani
- Parkinson's Disease Rehabilitation Centre, FERB ONLUS S. Isidoro Hospital, Trescore, Italy
| | - Daniela Perani
- Vita-Salute San Raffaele University, Milan, Italy.,In Vivo Human Molecular and Structural Neuroimaging Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Nuclear Medicine Unit, San Raffaele Hospital, Milan, Italy
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Hemminghyth MS, Chwiszczuk LJ, Rongve A, Breitve MH. The Cognitive Profile of Mild Cognitive Impairment Due to Dementia With Lewy Bodies-An Updated Review. Front Aging Neurosci 2020; 12:597579. [PMID: 33424578 PMCID: PMC7785712 DOI: 10.3389/fnagi.2020.597579] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Accepted: 11/19/2020] [Indexed: 01/06/2023] Open
Abstract
Objective: Dementia with Lewy Bodies (DLB) is the second most common type of neurodegenerative dementia. Yet, the domain-specific cognitive impairment of the mild cognitive impairment (MCI) phase of this disease (DLB-MCI) is still not been established. This article gives an updated review on the neuropsychological profile of DLB-MCI, building on the findings from a previous review. Methods: We performed systematic review and searched five different electronic databases (Scopus, Cochrane, EMBASE, MEDLINE, and PsycINFO) in May 2020 based on a PICO scheme. Our search was then restricted to articles published in 2019 and 2020. Ending up with a total of 90 articles to be reviewed by abstract and/or full text. Results: In total four papers were included, whereof only one met our full inclusion criteria. Despite a substantial heterogeneity, our findings indicate that DLB-MCI patients have a pattern of executive, visuospatial, and attentional deficits. Conclusion: The findings indicate that the neuropsychological profile of DLB-MCI is characterized by executive, visuospatial, and attentional deficits. Furthermore, the shortage of studies clearly underlines the paucity of published research into DLB-MCI and emphasizes the need for well-controlled studies.
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Affiliation(s)
| | | | - Arvid Rongve
- Research Group for Age-Related Medicine, Haugesund Hospital, Haugesund, Norway
- Department of Clinical Medicine (K1), University of Bergen, Bergen, Norway
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18
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Carli G, Caminiti SP, Sala A, Galbiati A, Pilotto A, Ferini-Strambi L, Padovani A, Perani D. Impaired metabolic brain networks associated with neurotransmission systems in the α-synuclein spectrum. Parkinsonism Relat Disord 2020; 81:113-122. [DOI: 10.1016/j.parkreldis.2020.10.036] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Revised: 10/13/2020] [Accepted: 10/20/2020] [Indexed: 01/31/2023]
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19
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Firbank MJ, O'Brien JT, Durcan R, Allan LM, Barker S, Ciafone J, Donaghy PC, Hamilton CA, Lawley S, Lloyd J, Roberts G, Taylor JP, Thomas AJ. Mild cognitive impairment with Lewy bodies: blood perfusion with arterial spin labelling. J Neurol 2020; 268:1284-1294. [PMID: 33084940 PMCID: PMC7990749 DOI: 10.1007/s00415-020-10271-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Revised: 10/08/2020] [Accepted: 10/10/2020] [Indexed: 12/24/2022]
Abstract
Objective To use arterial spin labelling to investigate differences in perfusion in mild cognitive impairment with Lewy bodies (MCI-LB) compared to Alzheimer type MCI (MCI-AD) and healthy controls. Methods We obtained perfusion images on 32 MCI-LB, 30 MCI-AD and 28 healthy subjects of similar age. Perfusion relative to cerebellum was calculated, and we aimed to examine differences in relative perfusion between MCI-LB and the other groups. This included whole brain voxelwise comparisons, as well as using predefined region-of-interest ratios of medial occipital to medial temporal, and posterior cingulate to precuneus. Differences in occipital perfusion in eyes open vs eyes closed conditions were also examined. Results Compared to controls, the MCI-LB showed reduced perfusion in the precuneus, parietal, occipital and fusiform gyrus regions. In our predefined regions, the ratio of perfusion in occipital/medial temporal was significantly lower, and the posterior cingulate/precuneus ratio was significantly higher in MCI-LB compared to controls. Overall, the occipital perfusion was greater in the eyes open vs closed condition, but this did not differ between groups. Conclusion We found patterns of altered perfusion in MCI-LB which are similar to those seen in dementia with Lewy bodies, with reduction in posterior parietal and occipital regions, but relatively preserved posterior cingulate.
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Affiliation(s)
- Michael J Firbank
- Translational and Clinical Research Institute, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, NE4 5PL, UK.
| | - John T O'Brien
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Rory Durcan
- Translational and Clinical Research Institute, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, NE4 5PL, UK
| | - Louise M Allan
- College of Medicine and Health, Exeter University, Exeter, UK
| | - Sally Barker
- Translational and Clinical Research Institute, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, NE4 5PL, UK
| | - Joanna Ciafone
- Translational and Clinical Research Institute, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, NE4 5PL, UK
| | - Paul C Donaghy
- Translational and Clinical Research Institute, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, NE4 5PL, UK
| | - Calum A Hamilton
- Translational and Clinical Research Institute, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, NE4 5PL, UK
| | - Sarah Lawley
- Translational and Clinical Research Institute, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, NE4 5PL, UK
| | - Jim Lloyd
- Nuclear Medicine Department, Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Gemma Roberts
- Translational and Clinical Research Institute, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, NE4 5PL, UK.,Nuclear Medicine Department, Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - John-Paul Taylor
- Translational and Clinical Research Institute, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, NE4 5PL, UK
| | - Alan J Thomas
- Translational and Clinical Research Institute, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, NE4 5PL, UK
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20
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Malattia a corpi di Lewy. Neurologia 2020. [DOI: 10.1016/s1634-7072(20)44006-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
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21
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Massa F, Meli R, Grazzini M, Famà F, De Carli F, Filippi L, Arnaldi D, Pardini M, Morbelli S, Nobili F. Utility of quantitative EEG in early Lewy body disease. Parkinsonism Relat Disord 2020; 75:70-75. [DOI: 10.1016/j.parkreldis.2020.05.007] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2020] [Revised: 04/09/2020] [Accepted: 05/05/2020] [Indexed: 10/24/2022]
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22
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Abstract
OBJECTIVES Dementia with Lewy bodies (DLB) and Parkinson's disease dementia (PDD) have substantial clinical and biological overlap, with cognitive deficits typically observed in the executive and visuospatial domains. However, the neuropsychological profiles of mild cognitive impairment (MCI) associated with these disorders are not well understood. METHODS This systematic review examined existing literature on cognition in MCI due to LB disease (MCI-LB) and PD (PD-MCI) using an electronic search of seven databases (Medline, Embase, Psychinfo, PubMed, ProQuest, Scopus, and ScienceDirect). MCI-LB results were reviewed narratively given the small number of resulting papers (n = 7). Outcome variables from PD-MCI studies (n = 13) were extracted for meta-analysis of standardised mean differences (SMD). RESULTS In MCI-LB, executive dysfunction and slowed processing speed were the most prominent impairments, while visuospatial and working memory (WM) functions were also poor. MCI-LB scored significantly lower on verbal memory tests relative to controls, but significantly higher than patients with MCI due to Alzheimer's disease. Quantitative analysis of studies in PD-MCI showed a similar profile of impairment, with the largest deficits in visuospatial function (Benton Judgement of Line Orientation, SMD g = -2.09), executive function (Trail Making Test B, SMD g = -1.65), verbal ability (Naming Tests, SMD g = -0.140), and WM (Trail Making Test A, SMD g = -1.20). In both MCI-LB and PD-MCI, verbal and visuospatial memory retrieval was impaired, while encoding and storage appeared relatively intact. CONCLUSIONS The findings of this systematic review indicate similar neuropsychological profiles in the MCI stages of DLB and PDD. Executive impairment may at least partially explain poor performance in other domains.
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23
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Huber M, Beyer L, Prix C, Schönecker S, Palleis C, Rauchmann B, Morbelli S, Chincarini A, Bruffaerts R, Vandenberghe R, Van Laere K, Kramberger MG, Trost M, Grmek M, Garibotto V, Nicastro N, Frisoni GB, Lemstra AW, Zande J, Pilotto A, Padovani A, Garcia‐Ptacek S, Savitcheva I, Ochoa‐Figueroa MA, Davidsson A, Camacho V, Peira E, Arnaldi D, Bauckneht M, Pardini M, Sambuceti G, Vöglein J, Schnabel J, Unterrainer M, Perneczky R, Pogarell O, Buerger K, Catak C, Bartenstein P, Cumming P, Ewers M, Danek A, Levin J, Aarsland D, Nobili F, Rominger A, Brendel M. Metabolic Correlates of Dopaminergic Loss in Dementia with Lewy Bodies. Mov Disord 2019; 35:595-605. [DOI: 10.1002/mds.27945] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Revised: 10/21/2019] [Accepted: 10/23/2019] [Indexed: 12/14/2022] Open
Affiliation(s)
- Maria Huber
- Department of Nuclear Medicine University Hospital of Munich, LMU Munich Munich Germany
| | - Leonie Beyer
- Department of Nuclear Medicine University Hospital of Munich, LMU Munich Munich Germany
| | - Catharina Prix
- Department of Neurology University Hospital of Munich, LMU Munich Munich Germany
| | - Sonja Schönecker
- Department of Neurology University Hospital of Munich, LMU Munich Munich Germany
| | - Carla Palleis
- Department of Neurology University Hospital of Munich, LMU Munich Munich Germany
| | - Boris‐Stephan Rauchmann
- Department of Psychiatry and Psychotherapy University Hospital, LMU Munich Munich Germany
- Department of Radiology University Hospital of Munich, LMU Munich Munich Germany
| | - Silvia Morbelli
- IRCCS Ospedale Policlinico San Martino Genoa Italy
- Nuclear Medicine Unit, Department of Health Sciences University of Genoa Genoa Italy
| | - Andrea Chincarini
- National Institute of Nuclear Physics (INFN), Genoa section Genoa Genoa Italy
| | - Rose Bruffaerts
- Department of Neurosciences Faculty of Medicine, KU Leuven Leuven Belgium
- Department of Neurology University Hospitals Leuven Leuven Belgium
| | - Rik Vandenberghe
- Department of Neurosciences Faculty of Medicine, KU Leuven Leuven Belgium
- Department of Neurology University Hospitals Leuven Leuven Belgium
| | - Koen Van Laere
- Department of Nuclear Medicine University Hospitals Leuven Leuven Belgium
| | | | - Maja Trost
- Department of Neurology University Medical Centre Ljubljana Slovenia
- Department for Nuclear Medicine University Medical Centre Ljubljana Slovenia
| | - Marko Grmek
- Department for Nuclear Medicine University Medical Centre Ljubljana Slovenia
| | - Valentina Garibotto
- Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospitals and NIMTLab Geneva University Geneva Switzerland
| | - Nicolas Nicastro
- Department of Clinical Neurosciences Geneva University Hospitals Geneva Switzerland
- Department of Psychiatry University of Cambridge Cambridge United Kingdom
| | - Giovanni B. Frisoni
- LANVIE (Laboratoire de Neuroimagerie du Vieillissement), Department of Psychiatry Geneva University Hospitals Geneva Switzerland
| | | | - Jessica Zande
- VU Medical Center Alzheimer Center Amsterdam The Netherlands
| | - Andrea Pilotto
- Neurology Unit University of Brescia Brescia Italy
- Parkinson's Disease Rehabilitation Centre FERB ONLUS–S. Isidoro Hospital Trescore Balneario (BG) Italy
| | | | - Sara Garcia‐Ptacek
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society Karolinska Institutet Stockholm Sweden
- Internal Medicine, section for Neurology Sädersjukhuset Stockholm Sweden
| | - Irina Savitcheva
- Medical Radiation Physics and Nuclear Medicine Karolinska University Hospital Stockholm Sweden
| | - Miguel A. Ochoa‐Figueroa
- Department of Clinical Physiology, Institution of Medicine and Health Sciences Linköping University Hospital Linköping Sweden
- Department of Diagnostic Radiology Linköping University Hospital Linköping Sweden
- Center for Medical Image Science and Visualization (CMIV) Linköping University Linköping Sweden
| | - Anette Davidsson
- Department of Clinical Physiology, Institution of Medicine and Health Sciences Linköping University Hospital Linköping Sweden
| | - Valle Camacho
- Servicio de Medicina Nuclear, Hospital de la Santa Creu i Sant Pau Universitat Autònoma de Barcelona Barcelona España
| | - Enrico Peira
- National Institute of Nuclear Physics (INFN), Genoa section Genoa Genoa Italy
- Clinical Neurology, Department of Neuroscience (DINOGMI) University of Genoa Genoa Italy
| | - Dario Arnaldi
- IRCCS Ospedale Policlinico San Martino Genoa Italy
- Clinical Neurology, Department of Neuroscience (DINOGMI) University of Genoa Genoa Italy
| | - Matteo Bauckneht
- IRCCS Ospedale Policlinico San Martino Genoa Italy
- Nuclear Medicine Unit, Department of Health Sciences University of Genoa Genoa Italy
| | - Matteo Pardini
- IRCCS Ospedale Policlinico San Martino Genoa Italy
- Clinical Neurology, Department of Neuroscience (DINOGMI) University of Genoa Genoa Italy
| | - Gianmario Sambuceti
- IRCCS Ospedale Policlinico San Martino Genoa Italy
- Nuclear Medicine Unit, Department of Health Sciences University of Genoa Genoa Italy
| | - Jonathan Vöglein
- Department of Neurology University Hospital of Munich, LMU Munich Munich Germany
- DZNE–German Center for Neurodegenerative Diseases Munich Germany
| | - Jonas Schnabel
- Department of Nuclear Medicine University Hospital of Munich, LMU Munich Munich Germany
| | - Marcus Unterrainer
- Department of Nuclear Medicine University Hospital of Munich, LMU Munich Munich Germany
| | - Robert Perneczky
- Department of Psychiatry and Psychotherapy University Hospital, LMU Munich Munich Germany
- DZNE–German Center for Neurodegenerative Diseases Munich Germany
- Ageing Epidemiology Research Unit (AGE) School of Public Health, Imperial College London United Kingdom
- Institut for Stroke and Dementia Research University of Munich Munich Germany
| | - Oliver Pogarell
- Department of Psychiatry and Psychotherapy University Hospital, LMU Munich Munich Germany
| | - Katharina Buerger
- DZNE–German Center for Neurodegenerative Diseases Munich Germany
- Institut for Stroke and Dementia Research University of Munich Munich Germany
| | - Cihan Catak
- Institut for Stroke and Dementia Research University of Munich Munich Germany
| | - Peter Bartenstein
- Department of Nuclear Medicine University Hospital of Munich, LMU Munich Munich Germany
- Munich Cluster for Systems Neurology (SyNergy) Munich Germany
| | - Paul Cumming
- Department of Nuclear Medicine University of Bern Inselspital Bern Switzerland
- School of Psychology and Counselling and IHBI Queensland University of Technology Brisbane Australia
| | - Michael Ewers
- DZNE–German Center for Neurodegenerative Diseases Munich Germany
| | - Adrian Danek
- Department of Neurology University Hospital of Munich, LMU Munich Munich Germany
| | - Johannes Levin
- Department of Neurology University Hospital of Munich, LMU Munich Munich Germany
- DZNE–German Center for Neurodegenerative Diseases Munich Germany
- Munich Cluster for Systems Neurology (SyNergy) Munich Germany
| | - Dag Aarsland
- Centre for Age‐Related Medicine (SESAM) Stavanger University Hospital Stavanger Norway
- Wolfson Centre for Age‐Related Diseases King's College London London United Kingdom
| | - Flavio Nobili
- IRCCS Ospedale Policlinico San Martino Genoa Italy
- Clinical Neurology, Department of Neuroscience (DINOGMI) University of Genoa Genoa Italy
| | - Axel Rominger
- Department of Nuclear Medicine University Hospital of Munich, LMU Munich Munich Germany
- Munich Cluster for Systems Neurology (SyNergy) Munich Germany
- Department of Nuclear Medicine University of Bern Inselspital Bern Switzerland
| | - Matthias Brendel
- Department of Nuclear Medicine University Hospital of Munich, LMU Munich Munich Germany
- Munich Cluster for Systems Neurology (SyNergy) Munich Germany
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