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Drzezga A, Bischof GN, Giehl K, van Eimeren T. PET and SPECT Imaging of Neurodegenerative Diseases. Mol Imaging 2021. [DOI: 10.1016/b978-0-12-816386-3.00085-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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Ferrari C, Polito C, Berti V, Lombardi G, Lucidi G, Bessi V, Bagnoli S, Piaceri I, Nacmias B, Sorbi S. High Frequency of Crossed Aphasia in Dextral in an Italian Cohort of Patients with Logopenic Primary Progressive Aphasia. J Alzheimers Dis 2020; 72:1089-1096. [PMID: 31683481 DOI: 10.3233/jad-190677] [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: 11/15/2022]
Abstract
BACKGROUND Primary progressive aphasia (PPA) has been described as a neurodegenerative language disorder mainly affecting the left hemisphere. Few cases of right hemisphere damage in right-handed PPA subjects have been reported. This condition, named crossed aphasia in dextral (CAD), is relatively rare and probably related to an alteration during neurodevelopment of language networks. OBJECTIVE To explore the prevalence of CAD in an Italian cohort of 68 PPA patients, in order to evaluate whether right hemisphere language lateralization could be a risk factor for PPA. METHODS Clinical-demographic and cerebral [18F]-fluorodeoxyglucose positron emission tomography ([18F]FDG-PET) scan were analyzed, resulting in 23 logopenic variant (lvPPA) patients, 26 non-fluent variant (nfvPPA) patients, and 19 semantic variant (svPPA) patients. SPM single subject routine was performed for diagnostic purposes in order to identify the hypometabolic pattern of each patient. Based on brain metabolic profile, PPA patients were divided in right and left lvPPA, nfvPPA, and svPPA. [18F]FDG-PET group analyses were performed with SPM two-sample t-test routine. RESULTS 26% of lvPPA cases were identified as CAD based on right hypometabolic pattern. CAD patients did not differ from left lvPPA regarding demographic features and general cognitive performance; however, they performed better in specific working memory tasks and showed brain hypometabolism limited to the superior, middle, and supramarginal temporal gyri. CONCLUSION Atypical lateralization of language function could determine a vulnerability of the phonological language loop and in that way could be a risk factor for lvPPA.
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Affiliation(s)
- Camilla Ferrari
- Department of Neuroscience, Psychology, Drug Research and Child Health (NEUROFARBA), University of Florence, Florence, Italy
| | - Cristina Polito
- Department of Biomedical, Experimental and Clinical Sciences "Mario Serio", Nuclear Medicine Unit, University of Florence, Florence, Italy
| | - Valentina Berti
- Department of Biomedical, Experimental and Clinical Sciences "Mario Serio", Nuclear Medicine Unit, University of Florence, Florence, Italy
| | - Gemma Lombardi
- Department of Neuroscience, Psychology, Drug Research and Child Health (NEUROFARBA), University of Florence, Florence, Italy
| | - Giulia Lucidi
- Department of Neuroscience, Psychology, Drug Research and Child Health (NEUROFARBA), University of Florence, Florence, Italy.,IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Valentina Bessi
- Department of Neuroscience, Psychology, Drug Research and Child Health (NEUROFARBA), University of Florence, Florence, Italy
| | - Silvia Bagnoli
- Department of Neuroscience, Psychology, Drug Research and Child Health (NEUROFARBA), University of Florence, Florence, Italy
| | - Irene Piaceri
- Department of Neuroscience, Psychology, Drug Research and Child Health (NEUROFARBA), University of Florence, Florence, Italy
| | - Benedetta Nacmias
- Department of Neuroscience, Psychology, Drug Research and Child Health (NEUROFARBA), University of Florence, Florence, Italy
| | - Sandro Sorbi
- Department of Neuroscience, Psychology, Drug Research and Child Health (NEUROFARBA), University of Florence, Florence, Italy.,IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
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Kolanko MA, Win Z, Loreto F, Patel N, Carswell C, Gontsarova A, Perry RJ, Malhotra PA. Amyloid PET imaging in clinical practice. Pract Neurol 2020; 20:451-462. [PMID: 32973035 DOI: 10.1136/practneurol-2019-002468] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/25/2020] [Indexed: 02/07/2023]
Abstract
Amyloid positron emission tomography (PET) imaging enables in vivo detection of brain Aβ deposition, one of the neuropathological hallmarks of Alzheimer's disease. There is increasing evidence to support its clinical utility, with major studies showing that amyloid PET imaging improves diagnostic accuracy, increases diagnostic certainty and results in therapeutic changes. The Amyloid Imaging Taskforce has developed appropriate use criteria to guide clinicians by predefining certain scenarios where amyloid PET would be justified. This review provides a practical guide on how and when to use amyloid PET, based on the available research and our own experience. We discuss its three main appropriate indications and illustrate these with clinical cases. We stress the importance of a multidisciplinary approach when deciding who might benefit from amyloid PET imaging. Finally, we highlight some practical points and common pitfalls in its interpretation.
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Affiliation(s)
- Magdalena A Kolanko
- Department of Brain Sciences, Imperial College London, London, UK.,Department of Clinical Neurosciences, Imperial College Healthcare NHS Trust, London, UK
| | - Zarni Win
- Department of Nuclear Medicine, Imperial College Healthcare NHS Trust, London, UK
| | - Flavia Loreto
- Department of Brain Sciences, Imperial College London, London, UK
| | - Neva Patel
- Department of Nuclear Medicine, Imperial College Healthcare NHS Trust, London, UK
| | - Christopher Carswell
- Department of Clinical Neurosciences, Imperial College Healthcare NHS Trust, London, UK.,Department of Neurology, Chelsea and Westminster Hospital NHS Foundation Trust, London, UK
| | | | - Richard J Perry
- Department of Brain Sciences, Imperial College London, London, UK.,Department of Clinical Neurosciences, Imperial College Healthcare NHS Trust, London, UK
| | - Paresh A Malhotra
- Department of Brain Sciences, Imperial College London, London, UK .,Department of Clinical Neurosciences, Imperial College Healthcare NHS Trust, London, UK.,UK Dementia Research Institute Care Research and Technology Centre, Imperial College London and the University of Surrey, UK
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Rubinski A, Franzmeier N, Neitzel J, Ewers M. FDG-PET hypermetabolism is associated with higher tau-PET in mild cognitive impairment at low amyloid-PET levels. ALZHEIMERS RESEARCH & THERAPY 2020; 12:133. [PMID: 33076977 PMCID: PMC7574434 DOI: 10.1186/s13195-020-00702-6] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Accepted: 10/05/2020] [Indexed: 12/04/2022]
Abstract
Background FDG-PET hypermetabolism can be observed in mild cognitive impairment (MCI), but the link to primary pathologies of Alzheimer’s diseases (AD) including amyloid and tau is unclear. Methods Using voxel-based regression, we assessed local interactions between amyloid- and tau-PET on spatially matched FDG-PET in 72 MCI patients. Control groups included cerebrospinal fluid biomarker characterized cognitively normal (CN, n = 70) and AD dementia subjects (n = 95). Results In MCI, significant amyloid-PET by tau-PET interactions were found in frontal, lateral temporal, and posterior parietal regions, where higher local tau-PET was associated with higher spatially corresponding FDG-PET at low levels of local amyloid-PET. FDG-PET in brain regions with a significant local amyloid- by tau-PET interaction was higher compared to that in CN and AD dementia and associated with lower episodic memory. Conclusion Higher tau-PET in the presence of low amyloid-PET is associated with abnormally increased glucose metabolism that is accompanied by episodic memory impairment.
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Affiliation(s)
- Anna Rubinski
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Feodor-Lynen-Straße 17, 81377, Munich, Germany
| | - Nicolai Franzmeier
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Feodor-Lynen-Straße 17, 81377, Munich, Germany
| | - Julia Neitzel
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Feodor-Lynen-Straße 17, 81377, Munich, Germany
| | - Michael Ewers
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Feodor-Lynen-Straße 17, 81377, Munich, Germany. .,German Center for Neurodegenerative Diseases, Munich, Germany.
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Ramanan S, Roquet D, Goldberg ZL, Hodges JR, Piguet O, Irish M, Lambon Ralph MA. Establishing two principal dimensions of cognitive variation in logopenic progressive aphasia. Brain Commun 2020; 2:fcaa125. [PMID: 33376980 PMCID: PMC7750924 DOI: 10.1093/braincomms/fcaa125] [Citation(s) in RCA: 22] [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: 04/09/2020] [Revised: 06/25/2020] [Accepted: 07/13/2020] [Indexed: 12/28/2022] Open
Abstract
Logopenic progressive aphasia is a neurodegenerative syndrome characterized by sentence repetition and naming difficulties arising from left-lateralized temporoparietal atrophy. Clinical descriptions of logopenic progressive aphasia largely concentrate on profiling language deficits, however, accumulating evidence points to the presence of cognitive deficits even on tasks with minimal language demands. Although non-linguistic cognitive deficits in logopenic progressive aphasia are thought to scale with disease severity, patients at discrete stages of language dysfunction display overlapping cognitive profiles, suggesting individual-level variation in cognitive performance, independent of primary language dysfunction. To address this issue, we used principal component analysis to decompose the individual-level variation in cognitive performance in 43 well-characterized logopenic progressive aphasia patients who underwent multi-domain neuropsychological assessments and structural neuroimaging. The principal component analysis solution revealed the presence of two, statistically independent factors, providing stable and clinically intuitive explanations for the majority of variance in cognitive performance in the syndrome. Factor 1 reflected 'speech production and verbal memory' deficits which typify logopenic progressive aphasia. Systematic variations were also confirmed on a second, orthogonal factor mainly comprising visuospatial and executive processes. Adopting a case-comparison approach, we further demonstrate that pairs of patients with comparable Factor 1 scores, regardless of their severity, diverge considerably on visuo-executive test performance, underscoring the inter-individual variability in cognitive profiles in comparably 'logopenic' patients. Whole-brain voxel-based morphometry analyses revealed that speech production and verbal memory factor scores correlated with left middle frontal gyrus, while visuospatial and executive factor scores were associated with grey matter intensity of right-lateralized temporoparietal, middle frontal regions and their underlying white matter connectivity. Importantly, logopenic progressive aphasia patients with poorer visuospatial and executive factor scores demonstrated greater right-lateralized temporoparietal and frontal atrophy. Our findings demonstrate the inherent variation in cognitive performance at an individual- and group-level in logopenic progressive aphasia, suggesting the presence of a genuine co-occurring cognitive impairment that is statistically independent of language function and disease severity.
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Affiliation(s)
- Siddharth Ramanan
- The University of Sydney, Brain and Mind Centre, Sydney, NSW, Australia
- The University of Sydney, School of Psychology, Sydney, NSW, Australia
- ARC Centre of Excellence in Cognition and its Disorders, Sydney, NSW, Australia
| | - Daniel Roquet
- The University of Sydney, Brain and Mind Centre, Sydney, NSW, Australia
- The University of Sydney, School of Psychology, Sydney, NSW, Australia
- ARC Centre of Excellence in Cognition and its Disorders, Sydney, NSW, Australia
| | - Zoë-Lee Goldberg
- The University of Sydney, Brain and Mind Centre, Sydney, NSW, Australia
| | - John R Hodges
- The University of Sydney, Brain and Mind Centre, Sydney, NSW, Australia
- ARC Centre of Excellence in Cognition and its Disorders, Sydney, NSW, Australia
- The University of Sydney, School of Medical Sciences, Sydney, NSW, Australia
| | - Olivier Piguet
- The University of Sydney, Brain and Mind Centre, Sydney, NSW, Australia
- The University of Sydney, School of Psychology, Sydney, NSW, Australia
- ARC Centre of Excellence in Cognition and its Disorders, Sydney, NSW, Australia
| | - Muireann Irish
- The University of Sydney, Brain and Mind Centre, Sydney, NSW, Australia
- The University of Sydney, School of Psychology, Sydney, NSW, Australia
- ARC Centre of Excellence in Cognition and its Disorders, Sydney, NSW, Australia
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Linguistic profiles, brain metabolic patterns and rates of amyloid-β biomarker positivity in patients with mixed primary progressive aphasia. Neurobiol Aging 2020; 96:155-164. [PMID: 33010672 DOI: 10.1016/j.neurobiolaging.2020.09.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2020] [Revised: 08/27/2020] [Accepted: 09/01/2020] [Indexed: 11/22/2022]
Abstract
We aimed to detail language profiles, brain metabolic patterns and proportion of Alzheimer's disease biomarkers in a cohort of patients with mixed primary progressive aphasia (mPPA). We considered 58 patients with PPA: 10 with non-fluent/agrammatic variant (nfvPPA), 16 with semantic variant (svPPA), 21 with logopenic variant (lvPPA) and 9 with mPPA. Patients with mPPA were further classified as 4 nf/lvPPA (with prevailing features for nfvPPA and lvPPA) and 5 s/lvPPA (with prevailing features for svPPA and lvPPA). Nf/lvPPA patients were characterized by higher proportion of Naming impairment compared to nfvPPA and more frequent Grammatical Errors and Phonologic Errors than lvPPA. S/lvPPA had higher proportion of impairment in Sentences Repetition compared to svPPA and in Single-word Comprehension compared to lvPPA. 100% of nf/lvPPA and 40% of s/lvPPA had Aβ positive biomarkers. Brain hypometabolic pattern in Nf/lvPPA was consistent with lvPPA, while s/lvPPA had a brain metabolism resembling svPPA. We concluded that nf/lvPPA patients might be considered as PPA variant due to Alzheimer's disease and s/lvPPA group mainly included patients with svPPA.
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Briels CT, Eertink JJ, Stam CJ, van der Flier WM, Scheltens P, Gouw AA. Profound regional spectral, connectivity, and network changes reflect visual deficits in posterior cortical atrophy: an EEG study. Neurobiol Aging 2020; 96:1-11. [PMID: 32905950 DOI: 10.1016/j.neurobiolaging.2020.07.029] [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] [Received: 03/20/2020] [Revised: 07/20/2020] [Accepted: 07/29/2020] [Indexed: 10/23/2022]
Abstract
Patients with posterior cortical atrophy (PCA-AD) show more severe visuospatial and perceptual deficits than those with typical AD (tAD). The aim of this study was to investigate whether functional alterations measured by electroencephalography can help understand the mechanisms that explain this clinical heterogeneity. 21-channel electroencephalography recordings of 29 patients with PCA-AD were compared with 29 patients with tAD and 29 controls matched for age, gender, and disease severity. Patients with PCA-AD and tAD both showed a global decrease in fast and increase in slow oscillatory activity compared with controls. This pattern was, however, more profound in patients with PCA-AD which was driven by more extensive slowing of the posterior regions. Alpha band functional connectivity showed a similar decrease in PCA-AD and tAD. Compared with controls, a less integrated network topology was observed in PCA-AD, with a decrease of posterior and an increase of frontal hubness. In PCA-AD, decreased right parietal peak frequency correlated with worse performance on visual tasks. Regional vulnerability of the posterior network might explain the atypical pattern of neurodegeneration in PCA-AD.
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Affiliation(s)
- Casper T Briels
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands; Department of Clinical Neurophysiology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands.
| | - Jakoba J Eertink
- Department of Clinical Neurophysiology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Cornelis J Stam
- Department of Clinical Neurophysiology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands; Department of Epidemiology and Biostatistics, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Alida A Gouw
- Department of Clinical Neurophysiology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
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Nuvoli S, Tanda G, Stazza ML, Madeddu G, Spanu A. Qualitative and Quantitative Analyses of Brain 18Fluoro-Deoxy-Glucose Positron Emission Tomography in Primary Progressive Aphasia. Dement Geriatr Cogn Disord 2020; 48:250-260. [PMID: 32062656 DOI: 10.1159/000504938] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2019] [Accepted: 11/20/2019] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND A primary progressive aphasia (PPA) diagnosis is generally based on clinical criteria, but often symptoms and signs may overlap in the different forms. Recent data have evidenced that brain 18fluoro-deoxy-glucose positron emission tomography (18F-FDG PET) could support the clinical diagnosis, since specific metabolic patterns are described for the different variants. AIMS We further evaluated the usefulness of 18F-FDG PET, by both visual qualitative (QL) and quantitative (QN) methods in the initial diagnosis of PPA, focusing on the classification of different variants. Moreover, we also analyzed the role of 18F-FDG PET in clarifying the association of PPA with the early phase of Alzheimer's disease (AD) or frontotemporal (FTD) dementias. METHODS We consecutively enrolled 35 patients with clinical symptoms of aphasia, suspect of or attributable to PPA. Patients were classified into two groups: 18 cases with clinical symptoms of aphasia but normal neuropsychological tests and an unclear classification of a specific PPA variant (group A) and 17 cases with clinical and neuropsychological signs attributable to PPA with an uncertain differential diagnosis between AD and FTD (group B). All patients underwent brain 18F-FDG PET/CT, and images were evaluated both by QL and QN, the latter applying an automated analysis program that produced brain regional metabolicmaps and normal age-matched control group comparative analysis (zscore). RESULTS 18F-FDG PET showed different patterns of bilateral cortical hypometabolism in the two groups. The combined use of QL and QN permitted to achieved a correct PPA variant diagnosis in 8 of 18 (44.4%) cases of group A and in 14 of 17 (82.3%) of group B, while only QN could support the correct classification of PPA variants in 10 of 18 (55.6%) cases of group A and in 3 of 17 (17.7%) cases of group B in whom the procedure better localized the hypometabolic areas. CONCLUSIONS Brain 18F-FDG PET had an elevated performance in the early diagnosis of PPA variants and in the advanced PPA AD/FTD classification. QL clarified the development of AD or FTD in advanced PPA cases and supported the differential diagnosis of a PPA variant in a few early cases. QN 18F-FDG PET evaluation better contributed to the early diagnosis of an unclear metabolic pattern. To correctly identify all cases, patients with diffuse cortical hypometabolism were also included. Larger series are necessary to confirm these data.
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Affiliation(s)
- Susanna Nuvoli
- Unit of Nuclear Medicine, Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy,
| | - Giovanna Tanda
- Unit of Nuclear Medicine, Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy
| | - Maria Lina Stazza
- Unit of Nuclear Medicine, Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy
| | - Giuseppe Madeddu
- Unit of Nuclear Medicine, Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy
| | - Angela Spanu
- Unit of Nuclear Medicine, Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy
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Bejanin A, Tammewar G, Marx G, Cobigo Y, Iaccarino L, Kornak J, Staffaroni AM, Dickerson BC, Boeve BF, Knopman DS, Gorno-Tempini M, Miller BL, Jagust WJ, Boxer AL, Rosen HJ, Rabinovici GD. Longitudinal structural and metabolic changes in frontotemporal dementia. Neurology 2020; 95:e140-e154. [PMID: 32591470 PMCID: PMC7455324 DOI: 10.1212/wnl.0000000000009760] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2019] [Accepted: 12/13/2019] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To compare the sensitivity of structural MRI and 18F-fludeoxyglucose PET (18FDG-PET) to detect longitudinal changes in frontotemporal dementia (FTD). METHODS Thirty patients with behavioral variant FTD (bvFTD), 7 with nonfluent/agrammatic variant primary progressive aphasia (nfvPPA), 16 with semantic variant primary progressive aphasia (svPPA), and 43 cognitively normal controls underwent 2-4 MRI and 18FDG-PET scans (total scans/visit = 270) as part of the Frontotemporal Lobar Degeneration Neuroimaging Initiative study. Linear mixed-effects models were carried out voxel-wise and in regions of interest to identify areas showing decreased volume or metabolism over time in patients as compared to controls. RESULTS At baseline, patients with bvFTD showed bilateral temporal, dorsolateral, and medial prefrontal atrophy/hypometabolism that extended with time into adjacent structures and parietal lobe. In nfvPPA, baseline atrophy/hypometabolism in supplementary motor cortex extended with time into left greater than right precentral, dorsolateral, and dorsomedial prefrontal cortex. In svPPA, baseline atrophy/hypometabolism encompassed the anterior temporal and medial prefrontal cortex and longitudinal changes were found in temporal, orbitofrontal, and lateral parietal cortex. Across syndromes, there was substantial overlap in the brain regions showing volume and metabolism loss. Even though the pattern of metabolic decline was more extensive, metabolic changes were also more variable and sample size estimates were similar or higher for 18FDG-PET compared to MRI. CONCLUSION Our findings demonstrated the sensitivity of 18FDG-PET and structural MRI for tracking disease progression in FTD. Both modalities showed highly overlapping patterns of longitudinal change and comparable sample size estimates to detect longitudinal changes in future clinical trials.
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Affiliation(s)
- Alexandre Bejanin
- From the Memory and Aging Center, Department of Neurology (A.B., G.T., G.M., Y.C., L.I., J.K., A.M.S., M.G.-T., B.L.M., A.L.B., H.J.R., G.D.R.), and Department of Radiology and Biomedical Imaging (G.D.R.), University of California San Francisco; Frontotemporal Disorders Unit (B.C.D.), Department of Neurology, Massachusetts General Hospital, Boston; and Harvard Medical School, Charleston; Department of Neurology (B.F.B., D.S.K.), Mayo Clinic, Rochester, MN; Molecular Biophysics and Integrated Bioimaging Division (W.J.J., G.D.R.), Lawrence Berkeley National Laboratory, CA; and Helen Wills Neuroscience Institute (G.D.R.), University of California Berkeley.
| | - Gautam Tammewar
- From the Memory and Aging Center, Department of Neurology (A.B., G.T., G.M., Y.C., L.I., J.K., A.M.S., M.G.-T., B.L.M., A.L.B., H.J.R., G.D.R.), and Department of Radiology and Biomedical Imaging (G.D.R.), University of California San Francisco; Frontotemporal Disorders Unit (B.C.D.), Department of Neurology, Massachusetts General Hospital, Boston; and Harvard Medical School, Charleston; Department of Neurology (B.F.B., D.S.K.), Mayo Clinic, Rochester, MN; Molecular Biophysics and Integrated Bioimaging Division (W.J.J., G.D.R.), Lawrence Berkeley National Laboratory, CA; and Helen Wills Neuroscience Institute (G.D.R.), University of California Berkeley
| | - Gabe Marx
- From the Memory and Aging Center, Department of Neurology (A.B., G.T., G.M., Y.C., L.I., J.K., A.M.S., M.G.-T., B.L.M., A.L.B., H.J.R., G.D.R.), and Department of Radiology and Biomedical Imaging (G.D.R.), University of California San Francisco; Frontotemporal Disorders Unit (B.C.D.), Department of Neurology, Massachusetts General Hospital, Boston; and Harvard Medical School, Charleston; Department of Neurology (B.F.B., D.S.K.), Mayo Clinic, Rochester, MN; Molecular Biophysics and Integrated Bioimaging Division (W.J.J., G.D.R.), Lawrence Berkeley National Laboratory, CA; and Helen Wills Neuroscience Institute (G.D.R.), University of California Berkeley
| | - Yann Cobigo
- From the Memory and Aging Center, Department of Neurology (A.B., G.T., G.M., Y.C., L.I., J.K., A.M.S., M.G.-T., B.L.M., A.L.B., H.J.R., G.D.R.), and Department of Radiology and Biomedical Imaging (G.D.R.), University of California San Francisco; Frontotemporal Disorders Unit (B.C.D.), Department of Neurology, Massachusetts General Hospital, Boston; and Harvard Medical School, Charleston; Department of Neurology (B.F.B., D.S.K.), Mayo Clinic, Rochester, MN; Molecular Biophysics and Integrated Bioimaging Division (W.J.J., G.D.R.), Lawrence Berkeley National Laboratory, CA; and Helen Wills Neuroscience Institute (G.D.R.), University of California Berkeley
| | - Leonardo Iaccarino
- From the Memory and Aging Center, Department of Neurology (A.B., G.T., G.M., Y.C., L.I., J.K., A.M.S., M.G.-T., B.L.M., A.L.B., H.J.R., G.D.R.), and Department of Radiology and Biomedical Imaging (G.D.R.), University of California San Francisco; Frontotemporal Disorders Unit (B.C.D.), Department of Neurology, Massachusetts General Hospital, Boston; and Harvard Medical School, Charleston; Department of Neurology (B.F.B., D.S.K.), Mayo Clinic, Rochester, MN; Molecular Biophysics and Integrated Bioimaging Division (W.J.J., G.D.R.), Lawrence Berkeley National Laboratory, CA; and Helen Wills Neuroscience Institute (G.D.R.), University of California Berkeley
| | - John Kornak
- From the Memory and Aging Center, Department of Neurology (A.B., G.T., G.M., Y.C., L.I., J.K., A.M.S., M.G.-T., B.L.M., A.L.B., H.J.R., G.D.R.), and Department of Radiology and Biomedical Imaging (G.D.R.), University of California San Francisco; Frontotemporal Disorders Unit (B.C.D.), Department of Neurology, Massachusetts General Hospital, Boston; and Harvard Medical School, Charleston; Department of Neurology (B.F.B., D.S.K.), Mayo Clinic, Rochester, MN; Molecular Biophysics and Integrated Bioimaging Division (W.J.J., G.D.R.), Lawrence Berkeley National Laboratory, CA; and Helen Wills Neuroscience Institute (G.D.R.), University of California Berkeley
| | - Adam M Staffaroni
- From the Memory and Aging Center, Department of Neurology (A.B., G.T., G.M., Y.C., L.I., J.K., A.M.S., M.G.-T., B.L.M., A.L.B., H.J.R., G.D.R.), and Department of Radiology and Biomedical Imaging (G.D.R.), University of California San Francisco; Frontotemporal Disorders Unit (B.C.D.), Department of Neurology, Massachusetts General Hospital, Boston; and Harvard Medical School, Charleston; Department of Neurology (B.F.B., D.S.K.), Mayo Clinic, Rochester, MN; Molecular Biophysics and Integrated Bioimaging Division (W.J.J., G.D.R.), Lawrence Berkeley National Laboratory, CA; and Helen Wills Neuroscience Institute (G.D.R.), University of California Berkeley
| | - Bradford C Dickerson
- From the Memory and Aging Center, Department of Neurology (A.B., G.T., G.M., Y.C., L.I., J.K., A.M.S., M.G.-T., B.L.M., A.L.B., H.J.R., G.D.R.), and Department of Radiology and Biomedical Imaging (G.D.R.), University of California San Francisco; Frontotemporal Disorders Unit (B.C.D.), Department of Neurology, Massachusetts General Hospital, Boston; and Harvard Medical School, Charleston; Department of Neurology (B.F.B., D.S.K.), Mayo Clinic, Rochester, MN; Molecular Biophysics and Integrated Bioimaging Division (W.J.J., G.D.R.), Lawrence Berkeley National Laboratory, CA; and Helen Wills Neuroscience Institute (G.D.R.), University of California Berkeley
| | - Bradley F Boeve
- From the Memory and Aging Center, Department of Neurology (A.B., G.T., G.M., Y.C., L.I., J.K., A.M.S., M.G.-T., B.L.M., A.L.B., H.J.R., G.D.R.), and Department of Radiology and Biomedical Imaging (G.D.R.), University of California San Francisco; Frontotemporal Disorders Unit (B.C.D.), Department of Neurology, Massachusetts General Hospital, Boston; and Harvard Medical School, Charleston; Department of Neurology (B.F.B., D.S.K.), Mayo Clinic, Rochester, MN; Molecular Biophysics and Integrated Bioimaging Division (W.J.J., G.D.R.), Lawrence Berkeley National Laboratory, CA; and Helen Wills Neuroscience Institute (G.D.R.), University of California Berkeley
| | - David S Knopman
- From the Memory and Aging Center, Department of Neurology (A.B., G.T., G.M., Y.C., L.I., J.K., A.M.S., M.G.-T., B.L.M., A.L.B., H.J.R., G.D.R.), and Department of Radiology and Biomedical Imaging (G.D.R.), University of California San Francisco; Frontotemporal Disorders Unit (B.C.D.), Department of Neurology, Massachusetts General Hospital, Boston; and Harvard Medical School, Charleston; Department of Neurology (B.F.B., D.S.K.), Mayo Clinic, Rochester, MN; Molecular Biophysics and Integrated Bioimaging Division (W.J.J., G.D.R.), Lawrence Berkeley National Laboratory, CA; and Helen Wills Neuroscience Institute (G.D.R.), University of California Berkeley
| | - Marilu Gorno-Tempini
- From the Memory and Aging Center, Department of Neurology (A.B., G.T., G.M., Y.C., L.I., J.K., A.M.S., M.G.-T., B.L.M., A.L.B., H.J.R., G.D.R.), and Department of Radiology and Biomedical Imaging (G.D.R.), University of California San Francisco; Frontotemporal Disorders Unit (B.C.D.), Department of Neurology, Massachusetts General Hospital, Boston; and Harvard Medical School, Charleston; Department of Neurology (B.F.B., D.S.K.), Mayo Clinic, Rochester, MN; Molecular Biophysics and Integrated Bioimaging Division (W.J.J., G.D.R.), Lawrence Berkeley National Laboratory, CA; and Helen Wills Neuroscience Institute (G.D.R.), University of California Berkeley
| | - Bruce L Miller
- From the Memory and Aging Center, Department of Neurology (A.B., G.T., G.M., Y.C., L.I., J.K., A.M.S., M.G.-T., B.L.M., A.L.B., H.J.R., G.D.R.), and Department of Radiology and Biomedical Imaging (G.D.R.), University of California San Francisco; Frontotemporal Disorders Unit (B.C.D.), Department of Neurology, Massachusetts General Hospital, Boston; and Harvard Medical School, Charleston; Department of Neurology (B.F.B., D.S.K.), Mayo Clinic, Rochester, MN; Molecular Biophysics and Integrated Bioimaging Division (W.J.J., G.D.R.), Lawrence Berkeley National Laboratory, CA; and Helen Wills Neuroscience Institute (G.D.R.), University of California Berkeley
| | - William J Jagust
- From the Memory and Aging Center, Department of Neurology (A.B., G.T., G.M., Y.C., L.I., J.K., A.M.S., M.G.-T., B.L.M., A.L.B., H.J.R., G.D.R.), and Department of Radiology and Biomedical Imaging (G.D.R.), University of California San Francisco; Frontotemporal Disorders Unit (B.C.D.), Department of Neurology, Massachusetts General Hospital, Boston; and Harvard Medical School, Charleston; Department of Neurology (B.F.B., D.S.K.), Mayo Clinic, Rochester, MN; Molecular Biophysics and Integrated Bioimaging Division (W.J.J., G.D.R.), Lawrence Berkeley National Laboratory, CA; and Helen Wills Neuroscience Institute (G.D.R.), University of California Berkeley
| | - Adam L Boxer
- From the Memory and Aging Center, Department of Neurology (A.B., G.T., G.M., Y.C., L.I., J.K., A.M.S., M.G.-T., B.L.M., A.L.B., H.J.R., G.D.R.), and Department of Radiology and Biomedical Imaging (G.D.R.), University of California San Francisco; Frontotemporal Disorders Unit (B.C.D.), Department of Neurology, Massachusetts General Hospital, Boston; and Harvard Medical School, Charleston; Department of Neurology (B.F.B., D.S.K.), Mayo Clinic, Rochester, MN; Molecular Biophysics and Integrated Bioimaging Division (W.J.J., G.D.R.), Lawrence Berkeley National Laboratory, CA; and Helen Wills Neuroscience Institute (G.D.R.), University of California Berkeley
| | - Howard J Rosen
- From the Memory and Aging Center, Department of Neurology (A.B., G.T., G.M., Y.C., L.I., J.K., A.M.S., M.G.-T., B.L.M., A.L.B., H.J.R., G.D.R.), and Department of Radiology and Biomedical Imaging (G.D.R.), University of California San Francisco; Frontotemporal Disorders Unit (B.C.D.), Department of Neurology, Massachusetts General Hospital, Boston; and Harvard Medical School, Charleston; Department of Neurology (B.F.B., D.S.K.), Mayo Clinic, Rochester, MN; Molecular Biophysics and Integrated Bioimaging Division (W.J.J., G.D.R.), Lawrence Berkeley National Laboratory, CA; and Helen Wills Neuroscience Institute (G.D.R.), University of California Berkeley
| | - Gil D Rabinovici
- From the Memory and Aging Center, Department of Neurology (A.B., G.T., G.M., Y.C., L.I., J.K., A.M.S., M.G.-T., B.L.M., A.L.B., H.J.R., G.D.R.), and Department of Radiology and Biomedical Imaging (G.D.R.), University of California San Francisco; Frontotemporal Disorders Unit (B.C.D.), Department of Neurology, Massachusetts General Hospital, Boston; and Harvard Medical School, Charleston; Department of Neurology (B.F.B., D.S.K.), Mayo Clinic, Rochester, MN; Molecular Biophysics and Integrated Bioimaging Division (W.J.J., G.D.R.), Lawrence Berkeley National Laboratory, CA; and Helen Wills Neuroscience Institute (G.D.R.), University of California Berkeley
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Trends in the public health significance, definitions of disease, and implications for prevention of Alzheimer’s disease. CURR EPIDEMIOL REP 2020; 7:68-76. [DOI: 10.1007/s40471-020-00231-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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Sasaki S. A Case of Logopenic Variant of Primary Progressive Aphasia with Parkinsonism and Anosmia. J Alzheimers Dis Rep 2020; 4:61-66. [PMID: 32328564 PMCID: PMC7175926 DOI: 10.3233/adr-190158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
A 69-year-old right-handed woman developed difficulty naming objects and word-finding. The clinical features of language disorder and predominant atrophy on MRI and predominant hypoperfusion on 123I-IMP SPECT in the left temporo-parietal junction area were consistent with the diagnostic criteria for the logopenic variant of primary progressive aphasia (lvPPA). Neurological examination showed slight right-side rigidity and resting tremor (UPDRS-III: 4). 123I-FP-CIT SPECT showed presynaptic dopamine transporter reduction in the posterior putamina with left-side predominance. The odor-stick identification test for Japanese exhibited complete loss of the sense of smell (anosmia). These findings suggest that lvPPA may be accompanied by parkinsonism and anosmia.
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Affiliation(s)
- Shoichi Sasaki
- Department of Neurology, Agano City Hospital, Niigata, Japan
- Department of Neurology, Toyosaka Hospital, Niigata, Japan
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Miyagawa T, Brushaber D, Syrjanen J, Kremers W, Fields J, Forsberg LK, Heuer HW, Knopman D, Kornak J, Boxer A, Rosen H, Boeve B. Use of the CDR® plus NACC FTLD in mild FTLD: Data from the ARTFL/LEFFTDS consortium. Alzheimers Dement 2020; 16:79-90. [PMID: 31477517 PMCID: PMC6949373 DOI: 10.1016/j.jalz.2019.05.013] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
INTRODUCTION Behavior/Comportment/Personality (BEHAV) and Language (LANG) domains were added to the Clinical Dementia Rating (CDR®) for improving evaluation of patients with frontotemporal lobar degeneration (FTLD) (CDR® plus NACC FTLD). METHODS We analyzed the CDR® plus NACC FTLD among participants from the baseline visit of the Advancing Research and Treatment for Frontotemporal Lobar Degeneration/Longitudinal Evaluation of Familial Frontotemporal Dementia Subjects Consortium. RESULTS The CDR® plus NACC FTLD was able to detect early symptoms in the mildly impaired participants who were rated as CDR® sum of boxes (CDR®-SB) = 0. The CDR®-SB was not sensitive, particularly in participants with mild nonfluent/agrammatic primary progressive aphasia. Participants with familial and sporadic behavioral variant FTD exhibited similar CDR® plus NACC FTLD profiles except that language impairment was more frequent in participants with mild sporadic behavioral variant FTD. Adding the BEHAV and/or LANG domains to the CDR®-SB significantly enhanced discriminatory power in differentiating among the FTLD spectrum disorders. DISCUSSION The BEHAV and LANG domains enable the CDR® plus NACC FTLD to capture early symptomatology of FTLD.
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Brain metabolic signatures across the Alzheimer's disease spectrum. Eur J Nucl Med Mol Imaging 2019; 47:256-269. [PMID: 31811345 DOI: 10.1007/s00259-019-04559-2] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2019] [Accepted: 09/26/2019] [Indexed: 12/15/2022]
Abstract
PURPOSE Given the challenges posed by the clinical diagnosis of atypical Alzheimer's disease (AD) variants and the limited imaging evidence available in the prodromal phases of atypical AD, we assessed brain hypometabolism patterns at the single-subject level in the AD variants spectrum. Specifically, we tested the accuracy of [18F]FDG-PET brain hypometabolism, as a biomarker of neurodegeneration, in supporting the differential diagnosis of atypical AD variants in individuals with dementia and mild cognitive impairment (MCI). METHODS We retrospectively collected N = 67 patients with a diagnosis of typical AD and AD variants according to the IWG-2 criteria (22 typical-AD, 15 frontal variant-AD, 14 logopenic variant-AD and 16 posterior variant-AD). Further, we included N = 11 MCI subjects, who subsequently received a clinical diagnosis of atypical AD dementia at follow-up (21 ± 11 months). We assessed brain hypometabolism patterns at group- and single-subject level, using W-score maps, measuring their accuracy in supporting differential diagnosis. In addition, the regional prevalence of cerebral hypometabolism was computed to identify the most vulnerable core regions. RESULTS W-score maps pointed at distinct, specific patterns of hypometabolism in typical and atypical AD variants, confirmed by the assessment of core hypometabolism regions, showing that each variant was characterized by specific regional vulnerabilities, namely in occipital, left-sided, or frontal brain regions. ROC curves allowed discrimination among AD variants and also non-AD dementia (i.e., dementia with Lewy bodies and behavioral variant of frontotemporal dementia), with high sensitivity and specificity. Notably, we provide preliminary evidence that, even in AD prodromal phases, these specific [18F]FDG-PET patterns are already detectable and predictive of clinical progression to atypical AD variants at follow-up. CONCLUSIONS The AD variant-specific patterns of brain hypometabolism, highly consistent at single-subject level and already evident in the prodromal stages, represent relevant markers of disease neurodegeneration, with highly supportive diagnostic and prognostic role.
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San Lee J, Yoo S, Park S, Kim HJ, Park KC, Seong JK, Suh MK, Lee J, Jang H, Kim KW, Kim Y, Cho SH, Kim SJ, Kim JP, Jung YH, Kim EJ, Suh YL, Lockhart SN, Seeley WW, Na DL, Seo SW. Differences in neuroimaging features of early- versus late-onset nonfluent/agrammatic primary progressive aphasia. Neurobiol Aging 2019; 86:92-101. [PMID: 31784276 DOI: 10.1016/j.neurobiolaging.2019.10.011] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2018] [Revised: 10/18/2019] [Accepted: 10/21/2019] [Indexed: 01/18/2023]
Abstract
This study investigated distinct neuroimaging features measured by cortical thickness and subcortical structural shape abnormality in early-onset (EO, onset age <65 years) and late-onset (LO, onset age ≥65 years) nonfluent/agrammatic variant of primary progressive aphasia (nfvPPA) patients. Cortical thickness and subcortical structural shape analyses were performed using a surface-based method from 38 patients with nfvPPA and 76 cognitively normal individuals. To minimize the effects of physiological aging, we used W-scores in comparisons between the groups. The EO-nfvPPA group exhibited more extensive cortical thickness reductions predominantly in the left perisylvian, lateral and medial prefrontal, temporal, posterior cingulate, and precuneus regions than the LO-nfvPPA group. The EO-nfvPPA group also exhibited significantly greater subcortical structural shape abnormality than the LO-nfvPPA group, mainly in the left striatum, hippocampus, and amygdala. Our findings suggested that there were differences in neuroimaging features between these groups by the age of symptom onset, which might be explained by underlying heterogeneous neuropathological differences or the age-related brain reserve hypothesis.
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Affiliation(s)
- Jin San Lee
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea; Neuroscience Center, Samsung Medical Center, Seoul, Korea; Department of Neurology, Kyung Hee University Hospital, Seoul, Korea
| | - Sole Yoo
- Department of Cognitive Science, Yonsei University, Seoul, Korea
| | - Seongbeom Park
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea; Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Hee Jin Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea; Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Key-Chung Park
- Department of Neurology, Kyung Hee University Hospital, Seoul, Korea
| | - Joon-Kyung Seong
- Department of Bio-convergence Engineering, School of Biomedical Engineering, Korea University, Seoul, Korea
| | - Mee Kyung Suh
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea; Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Juyoun Lee
- Department of Neurology, Chungnam National University Hospital, Daejeon, Korea
| | - Hyemin Jang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea; Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Ko Woon Kim
- Department of Neurology, Chonbuk National University Medical School & Hospital, Jeonju, Korea
| | - Yeshin Kim
- Department of Neurology, Kangwon National University Hospital, Kangwon National University College of Medicine, Chuncheon, Korea
| | - Soo Hyun Cho
- Department of Neurology, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Korea
| | - Seung Joo Kim
- Department of Neurology, Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon, Korea
| | - Jun Pyo Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea; Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Young Hee Jung
- Department of Neurology, Myungji Hospital, Goyang, Korea
| | - Eun-Joo Kim
- Department of Neurology, Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, Korea
| | - Yeon-Lim Suh
- Department of Pathology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Samuel N Lockhart
- Department of Internal Medicine, Section of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - William W Seeley
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, USA
| | - Duk L Na
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea; Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Sang Won Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea; Neuroscience Center, Samsung Medical Center, Seoul, Korea; Samsung Alzheimer Research Center, Center for Clinical Epidemiology, Samsung Medical Center, Seoul, Korea; Department of Health Sciences and Technology, Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, Seoul, Korea.
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Owens TE, Machulda MM, Duffy JR, Strand EA, Clark HM, Boland S, Martin PR, Lowe VJ, Jack CR, Whitwell JL, Josephs KA. Patterns of Neuropsychological Dysfunction and Cortical Volume Changes in Logopenic Aphasia. J Alzheimers Dis 2019; 66:1015-1025. [PMID: 30372673 DOI: 10.3233/jad-171175] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
BACKGROUND Neuropsychological assessment can add essential information to the characterization of individuals presenting with the logopenic variant of primary progressive aphasia (lvPPA). OBJECTIVE This study examined the neuropsychological characteristics of lvPPA patients. We also examined differences in regional and whole brain atrophy based on neuropsychological profiles. METHODS We conducted a hierarchical cluster analysis on memory, executive functioning, and visuospatial neuropsychological test data for 56 individuals with lvPPA. We then compared resultant clusters to left middle temporal, inferior parietal, and superior parietal regions-of-interest using multivariate analysis of covariance. We also performed voxel-level analyses. RESULTS We identified three clusters characterized as lvPPA with no neurocognitive impairment (n = 5), lvPPA with mild neurocognitive deficits (n = 23), and lvPPA with marked cognitive deficits (n = 28). WAB-AQ was associated with left middle temporal volume. Superior parietal volumes were smaller for the lvPPA group with marked cognitive symptoms compared to the less severe groups. Voxel-level analyses showed greater atrophy in temporal, parietal, lateral occipital, and frontal regions, left worse than right. Age, disease duration, gender, WAB-AQ, and PiB-PET did not account for differences between groups. CONCLUSIONS LvPPA patients without cognitive deficits in other domains were relatively uncommon while 50% of our sample exhibited pronounced neurocognitive deficits outside the language domain. Pronounced cognitive deficits in lvPPA are associated with widespread atrophy, left worse than right. Our study underscores the importance of examining neuropsychological function in addition to language in patients with lvPPA.
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The puzzle of preserved cognition in the oldest old. Neurol Sci 2019; 41:441-447. [PMID: 31713754 DOI: 10.1007/s10072-019-04111-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2019] [Accepted: 10/15/2019] [Indexed: 02/07/2023]
Abstract
Although epidemiological studies predict an exponential increase in the prevalence of dementia with age, recent studies have demonstrated that the oldest old are actually less frequently affected by dementia than the younger elderly. To explain this, I suggest a parallel between brain ageing and Alzheimer's disease (AD) and assume that theories concerning the brain's vulnerability to AD and its individual variability may also explain why some of the oldest old remain cognitively efficient. Some theories argue that AD is due to the continuing presence of the immature neurones vulnerable to amyloid beta protein (Aß) that are normally involved in brain development and then removed as a result of cell selection by the proteins associated with both brain development and AD. If a dysfunction in cell selection allows these immature neurones to survive, they degenerate early as a result of the neurotoxic action of Aß accumulation, which their mature counterparts can withstand. Consequently, age at the time of onset of AD and its clinical presentations depend on the number and location of such immature cells. I speculate that the same mechanism is responsible for the variability of normal brain ageing: the oldest old with well-preserved cognitive function are people genetically programmed for extreme ageing who have benefited from better cell selection during prenatal and neonatal life and therefore have fewer surviving neurones vulnerable to amyloid-promoted degeneration, whereas the process of early life cell selection was less successful in the oldest old who develop dementia.
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Clarke EC, Bonakdarpour B. Challenges in diagnosis of primary progressive aphasia. BMJ Case Rep 2019; 12:12/11/e230630. [PMID: 31712229 DOI: 10.1136/bcr-2019-230630] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
Two 68-year-old men presented to the behavioral neurology clinic with memory complaints. The clinical picture was complicated by bilingualism and psychiatric comorbidities. Based on a combination of cognitive and language testing, 5-fluorodeoxyglucose positron emission tomography (FDG-PET), and/or magnetic resonance imaging (MRI) of the brain, both cases were initially diagnosed as having mild cognitive impairment (MCI). At follow-up, however, both cases' language profiles and neuroimaging had evolved to clearly indicate primary progressive aphasia (PPA) as the underlying condition rather than MCI. These cases underscore the importance of careful observation of clinical and neuroimaging data over time to reach an accurate diagnosis.
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Affiliation(s)
- Ellen C Clarke
- Neurology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Borna Bonakdarpour
- Neurology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
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Weldon Furr J, Morales-Scheihing D, Manwani B, Lee J, McCullough LD. Cerebral Amyloid Angiopathy, Alzheimer's Disease and MicroRNA: miRNA as Diagnostic Biomarkers and Potential Therapeutic Targets. Neuromolecular Med 2019; 21:369-390. [PMID: 31586276 DOI: 10.1007/s12017-019-08568-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2019] [Accepted: 09/04/2019] [Indexed: 12/14/2022]
Abstract
The protein molecules must fold into unique conformations to acquire functional activity. Misfolding, aggregation, and deposition of proteins in diverse organs, the so-called "protein misfolding disorders (PMDs)", represent the conformational diseases with highly ordered assemblies, including oligomers and fibrils that are linked to neurodegeneration in brain illnesses such as cerebral amyloid angiopathy (CAA) and Alzheimer's disease (AD). Recent studies have revealed several aspects of brain pathology in CAA and AD, but both the classification and underlying mechanisms need to be further refined. MicroRNAs (miRNAs) are critical regulators of gene expression at the post-transcriptional level. Increasing evidence with the advent of RNA sequencing technology suggests possible links between miRNAs and these neurodegenerative disorders. To provide insights on the small RNA-mediated regulatory circuitry and the translational significance of miRNAs in PMDs, this review will discuss the characteristics and mechanisms of the diseases and summarize circulating or tissue-resident miRNAs associated with AD and CAA.
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Affiliation(s)
- J Weldon Furr
- BRAINS Research Laboratory, University of Texas McGovern Medical School, Houston, TX, 77030, USA
| | - Diego Morales-Scheihing
- BRAINS Research Laboratory, University of Texas McGovern Medical School, Houston, TX, 77030, USA
| | - Bharti Manwani
- BRAINS Research Laboratory, University of Texas McGovern Medical School, Houston, TX, 77030, USA
| | - Juneyoung Lee
- BRAINS Research Laboratory, University of Texas McGovern Medical School, Houston, TX, 77030, USA
| | - Louise D McCullough
- BRAINS Research Laboratory, University of Texas McGovern Medical School, Houston, TX, 77030, USA.
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Jack CR, Wiste HJ, Botha H, Weigand SD, Therneau TM, Knopman DS, Graff-Radford J, Jones DT, Ferman TJ, Boeve BF, Kantarci K, Lowe VJ, Vemuri P, Mielke MM, Fields JA, Machulda MM, Schwarz CG, Senjem ML, Gunter JL, Petersen RC. The bivariate distribution of amyloid-β and tau: relationship with established neurocognitive clinical syndromes. Brain 2019; 142:3230-3242. [PMID: 31501889 PMCID: PMC6763736 DOI: 10.1093/brain/awz268] [Citation(s) in RCA: 123] [Impact Index Per Article: 24.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2019] [Revised: 06/26/2019] [Accepted: 07/07/2019] [Indexed: 12/14/2022] Open
Abstract
Large phenotypically diverse research cohorts with both amyloid and tau PET have only recently come into existence. Our objective was to determine relationships between the bivariate distribution of amyloid-β and tau on PET and established clinical syndromes that are relevant to cognitive ageing and dementia. All individuals in this study were enrolled in the Mayo Clinic Study of Aging, a longitudinal population-based study of cognitive ageing, or the Mayo Alzheimer Disease Research Center, a longitudinal study of individuals recruited from clinical practice. We studied 1343 participants who had amyloid PET and tau PET from 2 April 2015 to 3 May 2019, and met criteria for membership in one of five clinical diagnostic groups: cognitively unimpaired, mild cognitive impairment, frontotemporal dementia, probable dementia with Lewy bodies, and Alzheimer clinical syndrome. We examined these clinical groups in relation to the bivariate distribution of amyloid and tau PET values. Individuals were grouped into amyloid (A)/tau (T) quadrants based on previously established abnormality cut points of standardized uptake value ratio 1.48 (A) and 1.33 (T). Individual participants largely fell into one of three amyloid/tau quadrants: low amyloid and low tau (A-T-), high amyloid and low tau (A+T-), or high amyloid and high tau (A+T+). Seventy per cent of cognitively unimpaired and 74% of FTD participants fell into the A-T- quadrant. Participants with mild cognitive impairment spanned the A-T- (42%), A+T- (28%), and A+T+ (27%) quadrants. Probable dementia with Lewy body participants spanned the A-T- (38%) and A+T- (44%) quadrants. Most (89%) participants with Alzheimer clinical syndrome fell into the A+T+ quadrant. These data support several conclusions. First, among 1343 participants, abnormal tau PET rarely occurred in the absence of abnormal amyloid PET, but the reverse was common. Thus, with rare exceptions, amyloidosis appears to be required for high levels of 3R/4R tau deposition. Second, abnormal amyloid PET is compatible with normal cognition but highly abnormal tau PET is not. These two conclusions support a dynamic biomarker model in which Alzheimer's disease is characterized first by the appearance of amyloidosis and later by tauopathy, with tauopathy being the proteinopathy associated with clinical symptoms. Third, bivariate amyloid and tau PET relationships differed across clinical groups and thus have a role for clarifying the aetiologies underlying neurocognitive clinical syndromes.
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Affiliation(s)
| | - Heather J Wiste
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Hugo Botha
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Stephen D Weigand
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Terry M Therneau
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | | | | | - David T Jones
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Tanis J Ferman
- Department of Psychology, Mayo Clinic, Jacksonville, FL, USA
| | | | - Kejal Kantarci
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Val J Lowe
- Department of Nuclear Medicine, Mayo Clinic, Rochester, MN, USA
| | | | | | - Julie A Fields
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - Mary M Machulda
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
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Bera G, Migliaccio R, Michelin T, Lamari F, Ferrieux S, Nogues M, Bertin H, Habert MO, Dubois B, Teichmann M, Kas A. Parietal Involvement in the Semantic Variant of Primary Progressive Aphasia with Alzheimer's Disease Cerebrospinal Fluid Profile. J Alzheimers Dis 2019; 66:271-280. [PMID: 30282352 DOI: 10.3233/jad-180087] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Semantic variant of primary progressive aphasia (svPPA) is typically associated with non-Alzheimer's disease (AD) pathology. However, some anatomopathological studies have found AD lesions in those patients. We compared brain perfusion SPECT of 18 svPPA patients with cerebrospinal fluid (CSF) biomarkers indicative of non-AD pathology (svPPA-nonAD) and three svPPA patients with CSF biomarkers indicative of underlying AD (svPPA-AD). All svPPA patients had severe left temporopolar hypoperfusion. SvPPA-nonAD had additional anterior cingulate and mediofrontal hypoperfusion, whereas svPPA-AD had greater left parietal and posterior cingulate involvement. Parietal damage in svPPA constitutes a biomarker for underlying Alzheimer pathology thus refining the classification of this PPA variant.
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Affiliation(s)
- Géraldine Bera
- Service de Médecine Nucléaire, Groupe Hospitalier Pitié Salpêtrière-Charles Foix, AP-HP, Paris CEDEX 13, France.,INSERM U 1127, CNRS UMR 7225, Sorbonne Universités, and Université Pierre et Marie Curie-Paris 6, UMR S 1127, Institut du Cerveau et de la Moelle épinière (ICM), FrontLab, Paris CEDEX 13, France
| | - Raffaella Migliaccio
- INSERM U 1127, CNRS UMR 7225, Sorbonne Universités, and Université Pierre et Marie Curie-Paris 6, UMR S 1127, Institut du Cerveau et de la Moelle épinière (ICM), FrontLab, Paris CEDEX 13, France.,Département de Neurologie, Institut de la mémoire et de la maladie d'Alzheimer, Groupe Hospitalier Pitié Salpêtrière-Charles Foix, AP-HP, Paris CEDEX 13, France
| | - Thibaut Michelin
- Service de Médecine Nucléaire, Groupe Hospitalier Pitié Salpêtrière-Charles Foix, AP-HP, Paris CEDEX 13, France
| | - Foudil Lamari
- Laboratoire de Biochimie, AP-HP, Groupe Hospitalier Pitié Salpêtrière-Charles Foix, Paris CEDEX 13, France
| | - Sophie Ferrieux
- Département de Neurologie, Institut de la mémoire et de la maladie d'Alzheimer, Groupe Hospitalier Pitié Salpêtrière-Charles Foix, AP-HP, Paris CEDEX 13, France
| | - Marie Nogues
- Département de Neurologie, Institut de la mémoire et de la maladie d'Alzheimer, Groupe Hospitalier Pitié Salpêtrière-Charles Foix, AP-HP, Paris CEDEX 13, France
| | | | - Marie Odile Habert
- Service de Médecine Nucléaire, Groupe Hospitalier Pitié Salpêtrière-Charles Foix, AP-HP, Paris CEDEX 13, France.,CATI, http://www.cati-neuroimaging.com.,Laboratoire d'Imagerie Biomédicale, INSERM U1146, Sorbonne Universités et Université Pierre et Marie Curie-Paris 6, Paris, France
| | - Bruno Dubois
- INSERM U 1127, CNRS UMR 7225, Sorbonne Universités, and Université Pierre et Marie Curie-Paris 6, UMR S 1127, Institut du Cerveau et de la Moelle épinière (ICM), FrontLab, Paris CEDEX 13, France.,Département de Neurologie, Institut de la mémoire et de la maladie d'Alzheimer, Groupe Hospitalier Pitié Salpêtrière-Charles Foix, AP-HP, Paris CEDEX 13, France
| | - Marc Teichmann
- INSERM U 1127, CNRS UMR 7225, Sorbonne Universités, and Université Pierre et Marie Curie-Paris 6, UMR S 1127, Institut du Cerveau et de la Moelle épinière (ICM), FrontLab, Paris CEDEX 13, France.,Département de Neurologie, Institut de la mémoire et de la maladie d'Alzheimer, Groupe Hospitalier Pitié Salpêtrière-Charles Foix, AP-HP, Paris CEDEX 13, France
| | - Aurélie Kas
- Service de Médecine Nucléaire, Groupe Hospitalier Pitié Salpêtrière-Charles Foix, AP-HP, Paris CEDEX 13, France.,CATI, http://www.cati-neuroimaging.com.,Laboratoire d'Imagerie Biomédicale, INSERM U1146, Sorbonne Universités et Université Pierre et Marie Curie-Paris 6, Paris, France
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Santos-Santos MA, Rabinovici GD, Iaccarino L, Ayakta N, Tammewar G, Lobach I, Henry ML, Hubbard I, Mandelli ML, Spinelli E, Miller ZA, Pressman PS, O'Neil JP, Ghosh P, Lazaris A, Meyer M, Watson C, Yoon SJ, Rosen HJ, Grinberg L, Seeley WW, Miller BL, Jagust WJ, Gorno-Tempini ML. Rates of Amyloid Imaging Positivity in Patients With Primary Progressive Aphasia. JAMA Neurol 2019; 75:342-352. [PMID: 29309493 DOI: 10.1001/jamaneurol.2017.4309] [Citation(s) in RCA: 67] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Importance The ability to predict the pathology underlying different neurodegenerative syndromes is of critical importance owing to the advent of molecule-specific therapies. Objective To determine the rates of positron emission tomography (PET) amyloid positivity in the main clinical variants of primary progressive aphasia (PPA). Design, Setting, and Participants This prospective clinical-pathologic case series was conducted at a tertiary research clinic specialized in cognitive disorders. Patients were evaluated as part of a prospective, longitudinal research study between January 2002 and December 2015. Inclusion criteria included clinical diagnosis of PPA; availability of complete speech, language, and cognitive testing; magnetic resonance imaging performed within 6 months of the cognitive evaluation; and PET carbon 11-labeled Pittsburgh Compound-B or florbetapir F 18 brain scan results. Of 109 patients referred for evaluation of language symptoms who underwent amyloid brain imaging, 3 were excluded because of incomplete language evaluations, 5 for absence of significant aphasia, and 12 for presenting with significant initial symptoms outside of the language domain, leaving a cohort of 89 patients with PPA. Main Outcomes and Measures Clinical, cognitive, neuroimaging, and pathology results. Results Twenty-eight cases were classified as imaging-supported semantic variant PPA (11 women [39.3%]; mean [SD] age, 64 [7] years), 31 nonfluent/agrammatic variant PPA (22 women [71.0%]; mean [SD] age, 68 [7] years), 26 logopenic variant PPA (17 women [65.4%]; mean [SD] age, 63 [8] years), and 4 mixed PPA cases. Twenty-four of 28 patients with semantic variant PPA (86%) and 28 of 31 patients with nonfluent/agrammatic variant PPA (90%) had negative amyloid PET scan results, while 25 of 26 patients with logopenic variant PPA (96%) and 3 of 4 mixed PPA cases (75%) had positive scan results. The amyloid positive semantic variant PPA and nonfluent/agrammatic variant PPA cases with available autopsy data (2 of 4 and 2 of 3, respectively) all had a primary frontotemporal lobar degeneration and secondary Alzheimer disease pathologic diagnoses, whereas autopsy of 2 patients with amyloid PET-positive logopenic variant PPA confirmed Alzheimer disease. One mixed PPA patient with a negative amyloid PET scan had Pick disease at autopsy. Conclusions and Relevance Primary progressive aphasia variant diagnosis according to the current classification scheme is associated with Alzheimer disease biomarker status, with the logopenic variant being associated with carbon 11-labeled Pittsburgh Compound-B positivity in more than 95% of cases. Furthermore, in the presence of a clinical syndrome highly predictive of frontotemporal lobar degeneration pathology, biomarker positivity for Alzheimer disease may be associated more with mixed pathology rather than primary Alzheimer disease.
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Affiliation(s)
- Miguel A Santos-Santos
- Department of Neurology, Memory and Aging Center, University of California San Francisco.,Autonomous University of Barcelona, Cerdanyola del Valles, Spain.,Cognition and Brain Plasticity Group, Bellvitge Biomedical Research Institute, L'Hospitalet de Llobregat, Barcelona, Spain.,Fundació Alzheimer Memory Clinic and Research Center, Institut Catalá de Neurociències Aplicades, Barcelona, Spain
| | - Gil D Rabinovici
- Department of Neurology, Memory and Aging Center, University of California San Francisco.,Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley
| | - Leonardo Iaccarino
- Department of Neurology, Memory and Aging Center, University of California San Francisco.,Vita-Salute San Raffaele University, Milan, Italy
| | - Nagehan Ayakta
- Department of Neurology, Memory and Aging Center, University of California San Francisco.,Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley
| | - Gautam Tammewar
- Department of Neurology, Memory and Aging Center, University of California San Francisco.,Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley
| | - Iryna Lobach
- Department of Epidemiology and Biostatistics, University of California San Francisco
| | - Maya L Henry
- Department of Communication Sciences and Disorders, University of Texas, Austin
| | - Isabel Hubbard
- Department of Neurology, Memory and Aging Center, University of California San Francisco
| | - Maria Luisa Mandelli
- Department of Neurology, Memory and Aging Center, University of California San Francisco
| | - Edoardo Spinelli
- Department of Neurology, Memory and Aging Center, University of California San Francisco.,Vita-Salute San Raffaele University, Milan, Italy
| | - Zachary A Miller
- Department of Neurology, Memory and Aging Center, University of California San Francisco
| | - Peter S Pressman
- Department of Neurology, Memory and Aging Center, University of California San Francisco.,University of Colorado Denver, Denver
| | - James P O'Neil
- Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California
| | - Pia Ghosh
- Department of Neurology, Memory and Aging Center, University of California San Francisco
| | - Andreas Lazaris
- Department of Neurology, Memory and Aging Center, University of California San Francisco
| | - Marita Meyer
- Department of Neurology, Memory and Aging Center, University of California San Francisco
| | - Christa Watson
- Department of Neurology, Memory and Aging Center, University of California San Francisco
| | - Soo Jin Yoon
- Department of Neurology, Memory and Aging Center, University of California San Francisco.,Department of Neurology, Eulji University Hospital, Daejeon, South Korea
| | - Howard J Rosen
- Department of Neurology, Memory and Aging Center, University of California San Francisco
| | - Lea Grinberg
- Department of Neurology, Memory and Aging Center, University of California San Francisco.,Department of Pathology, University of California San Francisco, California
| | - William W Seeley
- Department of Neurology, Memory and Aging Center, University of California San Francisco.,Department of Pathology, University of California San Francisco, California
| | - Bruce L Miller
- Department of Neurology, Memory and Aging Center, University of California San Francisco
| | - William J Jagust
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley.,Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California
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Bonakdarpour B, Hurley RS, Wang AR, Fereira HR, Basu A, Chatrathi A, Guillaume K, Rogalski EJ, Mesulam MM. Perturbations of language network connectivity in primary progressive aphasia. Cortex 2019; 121:468-480. [PMID: 31530376 DOI: 10.1016/j.cortex.2019.08.010] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2019] [Revised: 05/21/2019] [Accepted: 08/08/2019] [Indexed: 12/17/2022]
Abstract
Aphasias are caused by disruption in structural integrity and interconnectivity within a large-scale distributed language network. We investigated the distribution and behavioral consequences of altered functional connectivity in three variants of primary progressive aphasia (PPA). The goal was to clarify relationships among atrophy, resting connectivity, and the resulting behavioral changes in 73 PPA and 33 control participants. Three core regions of the left perisylvian language network: the inferior frontal gyrus (IFG), middle temporal gyrus (MTG), and anterior temporal lobe (ATL) were evaluated in agrammatic (PPA-G), logopenic (PPA-L), and semantic (PPA-S) PPA variants. All PPA groups showed decreased connectivity between IFG and MTG. The PPA-S group also showed additional loss of connectivity strength between ATL and the other language regions. Decreased connectivity between the IFG and MTG nodes in PPA-G remained significant even when controlled for the effect of atrophy. In the PPA group as a whole, IFG-MTG connectivity strength correlated with repetition and grammar scores, whereas MTG-ATL connectivity correlated with picture naming and single-word comprehension. There was no significant change in the connectivity of homologous regions in the right hemisphere. These results show that language impairments in PPA are associated with perturbations of functional connectivity within behaviorally concordant components of the language network. Altered connectivity in PPA may reflect not only the irreversible loss of cortical components indexed by atrophy, but also the dysfunction of remaining neurons.
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Affiliation(s)
- Borna Bonakdarpour
- Mesulam Center for Cognitive Neurology & Alzheimer Disease, USA; Department of Neurology, USA; Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
| | - Robert S Hurley
- Mesulam Center for Cognitive Neurology & Alzheimer Disease, USA; Department of Neurology, USA; Northwestern University Feinberg School of Medicine, Chicago, IL, USA; Department of Psychology, Cleveland State University, Cleveland, OH, USA
| | - Allan R Wang
- Mesulam Center for Cognitive Neurology & Alzheimer Disease, USA; Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Hernando R Fereira
- Mesulam Center for Cognitive Neurology & Alzheimer Disease, USA; Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Anisha Basu
- Mesulam Center for Cognitive Neurology & Alzheimer Disease, USA; Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Arjuna Chatrathi
- Mesulam Center for Cognitive Neurology & Alzheimer Disease, USA; Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Kyla Guillaume
- Mesulam Center for Cognitive Neurology & Alzheimer Disease, USA; Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Emily J Rogalski
- Mesulam Center for Cognitive Neurology & Alzheimer Disease, USA; Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - M Marsel Mesulam
- Mesulam Center for Cognitive Neurology & Alzheimer Disease, USA; Department of Neurology, USA; Northwestern University Feinberg School of Medicine, Chicago, IL, USA
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Abstract
Technologies for imaging the pathophysiology of Alzheimer disease (AD) now permit studies of the relationships between the two major proteins deposited in this disease - amyloid-β (Aβ) and tau - and their effects on measures of neurodegeneration and cognition in humans. Deposition of Aβ in the medial parietal cortex appears to be the first stage in the development of AD, although tau aggregates in the medial temporal lobe (MTL) precede Aβ deposition in cognitively healthy older people. Whether aggregation of tau in the MTL is the first stage in AD or a fairly benign phenomenon that may be transformed and spread in the presence of Aβ is a major unresolved question. Despite a strong link between Aβ and tau, the relationship between Aβ and neurodegeneration is weak; rather, it is tau that is associated with brain atrophy and hypometabolism, which, in turn, are related to cognition. Although there is support for an interaction between Aβ and tau resulting in neurodegeneration that leads to dementia, the unknown nature of this interaction, the strikingly different patterns of brain Aβ and tau deposition and the appearance of neurodegeneration in the absence of Aβ and tau are challenges to this model that ultimately must be explained.
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74
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The atrophy pattern in Alzheimer-related PPA is more widespread than that of the frontotemporal lobar degeneration associated variants. NEUROIMAGE-CLINICAL 2019; 24:101994. [PMID: 31505368 PMCID: PMC6734177 DOI: 10.1016/j.nicl.2019.101994] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Revised: 08/16/2019] [Accepted: 08/24/2019] [Indexed: 11/30/2022]
Abstract
Objective The three recognized variants of primary progressive aphasia (PPA) are associated with different loci of degeneration—left posterior perisylvian in logopenic variant (lvPPA), left frontal operculum in non-fluent variant (nfvPPA), and left rostroventral-temporal in semantic variant (svPPA). Meanwhile, it has become apparent that patients with lvPPA, in which Alzheimer pathology is the norm, frequently have more extensive language deficits—namely semantic and grammatical problems—than is captured in the strict diagnostic recommendations for this variant. We hypothesized that this may be because the degeneration in AD-related PPA typically extends beyond the left posterior perisylvian region. Methods Magnetic resonance images from 25 PPA patients (9AD-related PPA, 10 svPPA, 6 nfvPPA) and a healthy control cohort were used to calculate cortical thickness in three regions of interest (ROIs). The three ROIs being the left-hemispheric loci of maximal reported degeneration for each of the three variants of PPA. Results Consistent with past studies, the most severe cortical thinning was in the posterior perisylvian ROI in AD-related PPA; the ventral temporal ROI in svPPA; and the frontal opercular ROI in nfvPPA. Significant cortical thinning in AD-related PPA, however, was evident in all three ROIs. In contrast, thinning in svPPA and nfvPPA was largely restricted to their known peak loci of degeneration. Conclusions Although cortical degeneration in AD-related PPA is maximal in the left posterior perisylvian region, it extends more diffusely throughout the left hemisphere language network offering a plausible explanation for why the linguistic profile of lvPPA so often includes additional semantic and grammatic deficits. lvPPA is associated with AD pathology. AD-PPA present with more extensive deficits than lvPPA. Atrophy in AD-PPA encompasses the peak atrophy sites of the other PPA subtypes. The extended atrophy in AD-PPA explains the heterogeneity of linguistic deficits.
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75
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Henry ML, Hubbard HI, Grasso SM, Dial HR, Beeson PM, Miller BL, Gorno-Tempini ML. Treatment for Word Retrieval in Semantic and Logopenic Variants of Primary Progressive Aphasia: Immediate and Long-Term Outcomes. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2019; 62:2723-2749. [PMID: 31390290 PMCID: PMC6802912 DOI: 10.1044/2018_jslhr-l-18-0144] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2018] [Revised: 10/23/2018] [Accepted: 12/16/2018] [Indexed: 05/25/2023]
Abstract
Purpose Recent studies confirm the utility of speech-language intervention in primary progressive aphasia (PPA); however, long-term outcomes, ideal dosage parameters, and relative benefits of intervention across clinical variants warrant additional investigation. The purpose of this study was to determine whether naming treatment affords significant, lasting, and generalized improvement for individuals with semantic and logopenic PPA and whether dosage manipulations significantly affect treatment outcomes. Method Eighteen individuals with PPA (9 semantic and 9 logopenic variant) underwent lexical retrieval treatment designed to leverage spared cognitive-linguistic domains and develop self-cueing strategies to promote naming. One group (n = 10) underwent once-weekly treatment sessions, and the other group (n = 8) received the same treatment with 2 sessions per week and an additional "booster" treatment phase at 3 months post-treatment. Performance on trained and untrained targets/tasks was measured immediately after treatment and at 3, 6, and 12 months post-treatment. Results Outcomes from the full cohort of individuals with PPA showed significantly improved naming of trained items immediately post-treatment and at all follow-up assessments through 1 year. Generalized improvement on untrained items was significant up to 6 months post-treatment. The positive response to treatment was comparable regardless of session frequency or inclusion of a booster phase. Outcomes were comparable across PPA subtypes, as was maintenance of gains over the post-treatment period. Conclusion This study documents positive naming treatment outcomes for a group of individuals with PPA, demonstrating strong direct treatment effects, maintenance of gains up to 1 year post-treatment, and generalization to untrained items. Lexical retrieval treatment, in conjunction with daily home practice, had a strong positive effect that did not require more than 1 clinician-directed treatment session per week. Findings confirm that strategic training designed to capitalize on spared cognitive-linguistic abilities results in significant and lasting improvement, despite ongoing disease progression, in PPA.
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Affiliation(s)
- Maya L. Henry
- Department of Communication Sciences and Disorders, The University of Texas at Austin
| | - H. Isabel Hubbard
- Memory and Aging Center, Department of Neurology, University of California, San Francisco
- Department of Communication Science and Disorders, University of Kentucky, Lexington
| | - Stephanie M. Grasso
- Department of Communication Sciences and Disorders, The University of Texas at Austin
| | - Heather R. Dial
- Department of Communication Sciences and Disorders, The University of Texas at Austin
| | - Pélagie M. Beeson
- Department of Speech, Language, and Hearing Sciences, The University of Arizona, Tucson
| | - Bruce L. Miller
- Memory and Aging Center, Department of Neurology, University of California, San Francisco
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Abstract
PURPOSE OF REVIEW This article summarizes the clinical and anatomic features of the three named variants of primary progressive aphasia (PPA): semantic variant PPA, nonfluent/agrammatic variant PPA, and logopenic variant PPA. Three stroke aphasia syndromes that resemble the PPA variants (Broca aphasia, Wernicke aphasia, and conduction aphasia) are also presented. RECENT FINDINGS Semantic variant PPA and Wernicke aphasia are characterized by fluent speech with naming and comprehension difficulty; these syndromes are associated with disease in different portions of the left temporal lobe. Patients with nonfluent/agrammatic variant PPA or Broca aphasia have nonfluent speech with grammatical difficulty; these syndromes are associated with disease centered in the left inferior frontal lobe. Patients with logopenic variant PPA or conduction aphasia have difficulty with repetition and word finding in conversational speech; these syndromes are associated with disease in the left inferior parietal lobe. While PPA and stroke aphasias resemble one another, this article also presents their distinguishing features. SUMMARY Primary progressive and stroke aphasia syndromes interrupt the left perisylvian language network, resulting in identifiable aphasic syndromes.
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Nishida H, Hayashi Y, Ban Y, Kudo T, Harada N, Sakurai T. A Case of Crossed Logopenic Primary Progressive Aphasia in a Dextral Patient with Underlying Frontotemporal Dementia. Intern Med 2019. [PMID: 31391394 DOI: 10.2169/internalmedicine.2301-18] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
A 61-year-old dextral woman was admitted to the hospital with difficulty finding words. Neurological examinations confirmed that her speech was affected by frequent pauses and occasional phonological paraphasia without cognitive deficits. We detected atrophy, hypoperfusion, and hypometabolism in the right perisylvian and parietal regions, expanding to the right anterior temporal lobes and right inferior frontal gyrus (opercular region) by magnetic resonance imaging, single-photon emission computed tomography, and fluorodexyglucose-positron emission tomography (PET), respectively. Amyloid-PET did not identify the accumulation of amyloid beta (Aβ) in the bilateral cerebral cortices. We herein report a case of crossed aphasia with Aβ-negative logopenic primary progressive aphasia that was likely the result of frontotemporal lobar degeneration.
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Affiliation(s)
- Hiroshi Nishida
- Department of Neurology, Gifu Prefectural General Medical Center, Japan
| | - Yuichi Hayashi
- Departments of Neurology and Geriatrics, Gifu University Graduate School of Medicine, Japan
| | - Yuichi Ban
- Department of Rehabilitation, Gifu Prefectural General Medical Center, Japan
| | - Takuya Kudo
- Department of Neurology, Gifu Prefectural General Medical Center, Japan
| | - Naoko Harada
- Department of Neurology, Gifu Prefectural General Medical Center, Japan
| | - Takeo Sakurai
- Department of Neurology, Gifu Prefectural General Medical Center, Japan
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Ryu JC, Zimmer ER, Rosa-Neto P, Yoon SO. Consequences of Metabolic Disruption in Alzheimer's Disease Pathology. Neurotherapeutics 2019; 16:600-610. [PMID: 31270743 PMCID: PMC6694332 DOI: 10.1007/s13311-019-00755-y] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Alzheimer's disease (AD) is an irreversible, progressive disease that slowly destroys cognitive function, such as thinking, remembering, and reasoning, to a level that one cannot carry out a daily living. As people live longer, the risk of developing AD has increased to 1 in 10 among people who are older than 65 and to almost 1 in 2 among those who are older than 85 according to a 2019 Alzheimer's Association report. As a most common cause of dementia, AD accounts for 60-80% of all dementia cases. AD is characterized by amyloid plaques and neurofibrillary tangles, composed of extracellular aggregates of amyloid-β peptides and intracellular aggregates of hyperphosphorylated tau, respectively. Besides plaques and tangles, AD pathology includes synaptic dysfunction including loss of synapses, inflammation, brain atrophy, and brain hypometabolism, all of which contribute to progressive cognitive decline. Recent genetic studies of sporadic cases of AD have identified a score of risk factors, as reported by Hollingworth et al. (Nat Genet 43:429-435, 2001) and Lambert et al. (Nat Genet 45:1452-1458, 2013). Of all these genes, apolipoprotein E4 (APOE4) still presents the biggest risk factor for sporadic cases of AD, as stated in Saunders et al. (Neurology 43:1467-1472, 1993): depending on whether you have 1 or 2 copies of APOE4 allele, the risk increases from 3- to 12-fold, respectively, in line with Genin et al. (Mol Psychiatry 16:903-907, 2011). Besides these genetic risk factors, having type 2 diabetes (T2D), a chronic metabolic disease, is known to increase the AD risk by at least 2-fold when these individuals age, conforming to Sims-Robinson et al. (Nat Rev Neurol 6:551-559, 2010). Diabetes is reaching a pandemic scale with over 422 million people diagnosed worldwide in 2014 according to World Health Organization. Although what proportion of these diabetic patients develop AD is not known, even if 10% of diabetic patients develop AD later in their life, it would double the number of AD patients in the world. Better understanding between T2D and AD is of paramount of importance for the future. The goal of this review is to examine our current understanding on metabolic dysfunction in AD, so that a potential target can be identified in the near future.
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Affiliation(s)
- J C Ryu
- Department of Biological Chemistry & Pharmacology, Ohio State University, Columbus, OH, USA
| | - E R Zimmer
- Department of Pharmacology, UFRGS, Porto Alegre, Brazil
- Graduate Program in Biological Sciences: Biochemistry, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
- Graduate Program in Biological Sciences: Pharmacology and Therapeutics, UFRGS, Porto Alegre, Brazil
- Brain Institute of Rio Grande do Sul (BraIns), Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil
| | - P Rosa-Neto
- Montreal Neurological Institute, Montreal, Canada
| | - S O Yoon
- Department of Biological Chemistry & Pharmacology, Ohio State University, Columbus, OH, USA.
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Whitwell JL. FTD spectrum: Neuroimaging across the FTD spectrum. PROGRESS IN MOLECULAR BIOLOGY AND TRANSLATIONAL SCIENCE 2019; 165:187-223. [PMID: 31481163 DOI: 10.1016/bs.pmbts.2019.05.009] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Frontotemporal dementia is a complex and heterogeneous neurodegenerative disease that encompasses many clinical syndromes, pathological diseases, and genetic mutations. Neuroimaging has played a critical role in our understanding of the underlying pathophysiology of frontotemporal dementia and provided biomarkers to aid diagnosis. Early studies defined patterns of neurodegeneration and hypometabolism associated with the clinical, pathological and genetic aspects of frontotemporal dementia, with more recent studies highlighting how the breakdown of structural and functional brain networks define frontotemporal dementia. Molecular positron emission tomography ligands allowing the in vivo imaging of tau proteins have also provided important insights, although more work is needed to understand the biology of the currently available ligands.
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NIA-AA Research Framework: Toward a biological definition of Alzheimer's disease. Alzheimers Dement 2019; 14:535-562. [PMID: 29653606 PMCID: PMC5958625 DOI: 10.1016/j.jalz.2018.02.018] [Citation(s) in RCA: 5728] [Impact Index Per Article: 1145.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2018] [Revised: 02/21/2018] [Accepted: 02/27/2018] [Indexed: 02/06/2023]
Abstract
In 2011, the National Institute on Aging and Alzheimer’s Association created separate diagnostic recommendations for the preclinical, mild cognitive impairment, and dementia stages of Alzheimer’s disease. Scientific progress in the interim led to an initiative by the National Institute on Aging and Alzheimer’s Association to update and unify the 2011 guidelines. This unifying update is labeled a “research framework” because its intended use is for observational and interventional research, not routine clinical care. In the National Institute on Aging and Alzheimer’s Association Research Framework, Alzheimer’s disease (AD) is defined by its underlying pathologic processes that can be documented by postmortem examination or in vivo by biomarkers. The diagnosis is not based on the clinical consequences of the disease (i.e., symptoms/signs) in this research framework, which shifts the definition of AD in living people from a syndromal to a biological construct. The research framework focuses on the diagnosis of AD with biomarkers in living persons. Biomarkers are grouped into those of β amyloid deposition, pathologic tau, and neurodegeneration [AT(N)]. This ATN classification system groups different biomarkers (imaging and biofluids) by the pathologic process each measures. The AT(N) system is flexible in that new biomarkers can be added to the three existing AT(N) groups, and new biomarker groups beyond AT(N) can be added when they become available. We focus on AD as a continuum, and cognitive staging may be accomplished using continuous measures. However, we also outline two different categorical cognitive schemes for staging the severity of cognitive impairment: a scheme using three traditional syndromal categories and a six-stage numeric scheme. It is important to stress that this framework seeks to create a common language with which investigators can generate and test hypotheses about the interactions among different pathologic processes (denoted by biomarkers) and cognitive symptoms. We appreciate the concern that this biomarker-based research framework has the potential to be misused. Therefore, we emphasize, first, it is premature and inappropriate to use this research framework in general medical practice. Second, this research framework should not be used to restrict alternative approaches to hypothesis testing that do not use biomarkers. There will be situations where biomarkers are not available or requiring them would be counterproductive to the specific research goals (discussed in more detail later in the document). Thus, biomarker-based research should not be considered a template for all research into age-related cognitive impairment and dementia; rather, it should be applied when it is fit for the purpose of the specific research goals of a study. Importantly, this framework should be examined in diverse populations. Although it is possible that β-amyloid plaques and neurofibrillary tau deposits are not causal in AD pathogenesis, it is these abnormal protein deposits that define AD as a unique neurodegenerative disease among different disorders that can lead to dementia. We envision that defining AD as a biological construct will enable a more accurate characterization and understanding of the sequence of events that lead to cognitive impairment that is associated with AD, as well as the multifactorial etiology of dementia. This approach also will enable a more precise approach to interventional trials where specific pathways can be targeted in the disease process and in the appropriate people.
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Tetzloff KA, Graff-Radford J, Martin PR, Tosakulwong N, Machulda MM, Duffy JR, Clark HM, Senjem ML, Schwarz CG, Spychalla AJ, Drubach DA, Jack CR, Lowe VJ, Josephs KA, Whitwell JL. Regional Distribution, Asymmetry, and Clinical Correlates of Tau Uptake on [18F]AV-1451 PET in Atypical Alzheimer's Disease. J Alzheimers Dis 2019; 62:1713-1724. [PMID: 29614676 DOI: 10.3233/jad-170740] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
BACKGROUND Despite common pathology, Alzheimer's disease (AD) can have multiple clinical presentations which pathological studies suggest result from differences in the regional distribution of tau pathology. Positron emission tomography (PET) ligands are now available that can detect tau proteins in vivo and hence can be used to investigate the biological mechanisms underlying atypical AD. OBJECTIVE To assess regional patterns of tau uptake on PET imaging in two atypical AD variants, posterior cortical atrophy (PCA) and logopenic progressive aphasia (lvPPA). METHODS Eighteen PCA and 19 lvPPA subjects that showed amyloid-β deposition on PET underwent tau-PET imaging with [18F]AV-1451. Group comparisons of tau uptake in PCA and lvPPA were performed using voxel-level and regional-level analyses. We also assessed the degree of lobar tau asymmetry and correlated regional tau uptake to age and performance on clinical evaluations. RESULTS Both syndromes showed diffuse tau uptake throughout all cortical regions, although PCA showed greater uptake in occipital regions compared to lvPPA, and lvPPA showed greater uptake in left frontal and temporal regions compared to PCA. While lvPPA showed predominant left-asymmetric tau deposition, PCA was more bilateral. Younger subjects showed greater tau uptake bilaterally in frontal and parietal lobes than older subjects, and sentence repetition, Boston naming test, simultanagnosia, and visuoperceptual function showed specific regional tau correlates. CONCLUSION Tau deposition is closely related to clinical presentation in atypical AD with age playing a role in determining the degree of cortical tau deposition.
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Affiliation(s)
| | | | - Peter R Martin
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | | | - Mary M Machulda
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - Joseph R Duffy
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | | | - Matthew L Senjem
- Department of Radiology, Mayo Clinic, Rochester, MN, USA.,Department of Information Technology, Mayo Clinic, Rochester, MN, USA
| | | | | | | | | | - Val J Lowe
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
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82
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Lagarde J, Hahn V, Sarazin M. Afasia primaria progressiva. Neurologia 2019. [DOI: 10.1016/s1634-7072(19)42020-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
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83
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Ramos EM, Dokuru DR, Van Berlo V, Wojta K, Wang Q, Huang AY, Miller ZA, Karydas AM, Bigio EH, Rogalski E, Weintraub S, Rader B, Miller BL, Gorno-Tempini ML, Mesulam MM, Coppola G. Genetic screen in a large series of patients with primary progressive aphasia. Alzheimers Dement 2019; 15:553-560. [PMID: 30599136 PMCID: PMC6480353 DOI: 10.1016/j.jalz.2018.10.009] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2018] [Revised: 10/05/2018] [Accepted: 10/30/2018] [Indexed: 12/12/2022]
Abstract
INTRODUCTION Primary progressive aphasia (PPA) is a neurological syndrome, associated with both frontotemporal dementia and Alzheimer's disease, in which progressive language impairment emerges as the most salient clinical feature during the initial stages of disease. METHODS We screened the main genes associated with Alzheimer's disease and frontotemporal dementia for pathogenic and risk variants in a cohort of 403 PPA cases. RESULTS In this case series study, 14 (3.5%) cases carried (likely) pathogenic variants: four C9orf72 expansions, nine GRN, and one TARDBP mutation. Rare risk variants, TREM2 R47H and MAPT A152T, were associated with a three- to seven-fold increase in risk for PPA. DISCUSSION Our results show that while pathogenic variants within the most common dementia genes were rarely associated with PPA, these were found almost exclusively in GRN and C9orf72, suggesting that PPA is more TDP43- than tau-related in our series. This is consistent with the finding that PPA frequency in dominantly inherited dementias is the highest in kindreds with GRN variants.
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Affiliation(s)
- Eliana Marisa Ramos
- Department of Psychiatry, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Deepika Reddy Dokuru
- Department of Psychiatry, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Victoria Van Berlo
- Department of Psychiatry, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Kevin Wojta
- Department of Psychiatry, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Qing Wang
- Department of Psychiatry, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Alden Y Huang
- Department of Psychiatry, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA; Bioinformatics Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA, USA
| | - Zachary A Miller
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Anna M Karydas
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Eileen H Bigio
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University, Chicago, IL, USA
| | - Emily Rogalski
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University, Chicago, IL, USA
| | - Sandra Weintraub
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University, Chicago, IL, USA
| | - Benjamin Rader
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University, Chicago, IL, USA
| | - Bruce L Miller
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Maria Luisa Gorno-Tempini
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Marek-Marsel Mesulam
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University, Chicago, IL, USA
| | - Giovanni Coppola
- Department of Psychiatry, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
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84
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Abstract
PURPOSE OF REVIEW Knowledge on primary progressive aphasia (PPA) has expanded rapidly in the past few decades. Clinical characteristics, neuroimaging correlates, and neuropathological features of PPA are better delineated. This facilitates scientific studies on the disease pathophysiology and allows speech and language therapy to be more precisely targeted. This review article begins with a summary of the current understanding of PPA and discusses how PPA can serve as a model to promote scientific discovery in neurodegenerative diseases. RECENT FINDINGS Studies on the different variants of PPA have demonstrated the high compatibility between clinical presentations and neuroimaging features, and in turn, enhances the understanding of speech and language neuroanatomy. In addition to the traditional approach of lesion-based or voxel-based mapping, scientists have also adopted functional connectivity and network topology approaches that permits a more multidimensional understanding of neuroanatomy. As a result, pharmacological and cognitive therapeutic strategies can now be better targeted towards specific pathological/molecular and cognitive subtypes. SUMMARY Recent scientific advancement in PPA potentiates it to be an optimal model for studying brain network vulnerability, neurodevelopment influences and the effects of nonpharmacological intervention in neurodegenerative diseases.
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Affiliation(s)
- Boon Lead Tee
- Global Brain Health Institute, Buddhist Tzu Chi General Hospital, Hualien, Taiwan
- Department of Neurology, Buddhist Tzu Chi General Hospital, Hualien, Taiwan
| | - Maria Luisa Gorno-Tempini
- Department of Neurology, Memory and Aging Center, University of California at San Francisco, San Francisco, California, USA
- Dyslexia Center, University of California at San Francisco, San Francisco, California, USA
- Global Brain Health Institute, Buddhist Tzu Chi General Hospital, Hualien, Taiwan
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85
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Dial HR, Hinshelwood HA, Grasso SM, Hubbard HI, Gorno-Tempini ML, Henry ML. Investigating the utility of teletherapy in individuals with primary progressive aphasia. Clin Interv Aging 2019; 14:453-471. [PMID: 30880927 PMCID: PMC6394239 DOI: 10.2147/cia.s178878] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023] Open
Abstract
INTRODUCTION Primary progressive aphasia (PPA) is a neurodegenerative disorder characterized by progressive deterioration of speech and language. A growing body of research supports the utility of speech and language intervention in individuals with PPA, although access to these services remains limited. One potential means of increasing treatment accessibility is the delivery of treatment via telemedicine. Evidence supports the use of teletherapy in stroke-induced aphasia, but research examining the application of teletherapy in PPA is limited. In the current study, a non-randomized group comparison design was used to evaluate the feasibility and utility of treatment delivered via teletherapy relative to treatment administered in person for individuals with PPA. METHODS Two treatment protocols were administered as part of a larger study investigating treatment for speech and language deficits in PPA. Participants with semantic (n=10) and logopenic (n=11) PPA received lexical retrieval treatment and individuals with nonfluent/agrammatic PPA (n=10) received video-implemented script training for aphasia designed to promote speech production and fluency. Treatment was administered via teletherapy for approximately half of the participants receiving each intervention. Treatment outcomes and performance on standardized tests were assessed at pre-treatment and post-treatment, as well as 3, 6, and 12 months post-treatment. RESULTS Overall, both treatment approaches resulted in significant gains for primary outcome measures. Critically, comparison of in-person and teletherapy groups revealed comparable outcomes. Generalization to untrained targets and tasks and maintenance of treatment-induced gains were also comparable for traditional vs teletherapy participants. CONCLUSION Overall, treatment outcomes were largely equivalent for individuals receiving treatment via teletherapy vs traditional, in-person delivery. Results support the application of teletherapy for administering restitutive interventions to individuals with mild-to-moderate PPA. Potential implications for using teletherapy in the treatment of cognitive-linguistic and motoric impairments in other disorders and suggestions for administering treatment via telemedicine are discussed.
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Affiliation(s)
- Heather R Dial
- Communication Sciences and Disorders, University of Texas at Austin, Austin, TX, USA,
| | | | - Stephanie M Grasso
- Communication Sciences and Disorders, University of Texas at Austin, Austin, TX, USA,
| | - H Isabel Hubbard
- Communication Sciences and Disorders, University of Alberta, Edmonton, AB, Canada
| | | | - Maya L Henry
- Communication Sciences and Disorders, University of Texas at Austin, Austin, TX, USA,
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86
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Butler PM, Chiong W. Neurodegenerative disorders of the human frontal lobes. HANDBOOK OF CLINICAL NEUROLOGY 2019; 163:391-410. [PMID: 31590743 DOI: 10.1016/b978-0-12-804281-6.00021-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The frontal lobes play an integral role in human socioemotional and cognitive function. Sense of self, moral decisions, empathy, and behavioral monitoring of goal-states all depend on key nodes within frontal cortex. While several neurodegenerative diseases can affect frontal function, frontotemporal dementia (FTD) has particularly serious and specific effects, which thus provide insights into the role of frontal circuits in homeostasis and adaptive behavior. FTD represents a collection of disorders with specific clinical-pathologic correlates, imaging, and genetics. Patients with FTD and initial prefrontal degeneration often present with neuropsychiatric symptoms such as loss of social decorum, new obsessions, or lack of empathy. In those patients with early anterior temporal degeneration, language (particularly in patients with left-predominant disease) and socioemotional changes (particularly in patients with right-predominant disease) precede eventual frontal dysregulation. Herein, we review a brief history of FTD, initial clinical descriptions, and the evolution of nomenclature. Next, we consider clinical features, neuropathology, imaging, and genetics in FTD-spectrum disorders in relation to the integrity of frontal circuits. In particular, we focus our discussion on behavioral variant FTD given its profound impact on cortical and subcortical frontal structures. This review highlights the clinical heterogeneity of behavioral phenotypes as well as the clinical-anatomic convergence of varying proteinopathies at the neuronal, regional, and network level. Recent neuroimaging and modeling approaches in FTD reveal varying network dysfunction centered on frontal-insular cortices, which underscores the role of the human frontal lobes in complex behaviors. We conclude the chapter reviewing the cognitive and behavioral neuroscience findings furnished from studies in FTD related to executive and socioemotional function, reward-processing, decision-making, and sense of self.
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Affiliation(s)
- P Monroe Butler
- Department of Neurology, UCSF Memory and Aging Center, UCSF School of Medicine, San Francisco, CA, United States
| | - Winston Chiong
- Department of Neurology, UCSF Memory and Aging Center, UCSF School of Medicine, San Francisco, CA, United States.
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87
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Pick E, Kleinbub JR, Mannarini S, Palmieri A. Empathy In Neurodegenerative Diseases: A Systematic Review. Neuropsychiatr Dis Treat 2019; 15:3287-3304. [PMID: 31819455 PMCID: PMC6878921 DOI: 10.2147/ndt.s225920] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2019] [Accepted: 10/31/2019] [Indexed: 01/18/2023] Open
Abstract
INTRODUCTION Empathy, in its affective and cognitive components, is a crucial interpersonal ability. It is broadly studied in the field of psychopathology, whereas its study in the neurodegenerative diseases is relatively recent. Existing literature, though, focused on a reduced subset of considered diseases, which often found a compromise in empathy abilities. Organized knowledge about a more comprehensive set of diseases is lacking. METHOD The present PRISMA systematic review was aimed at collecting the current available literature concerning empathic alterations in adult patients affected by neurodegenerative diseases. It considered the different empathy components, evaluated existing patterns, the impact on patients' lives, and treatment considerations. RESULTS Overall, the 32 retrieved studies describe a spread deterioration of empathic abilities in patients, with each disease displaying its own pattern of empathy functioning. Literature in this field is fragmented and of heterogeneous quality, and further studies are warranted to increase evidence of many preliminary results. DISCUSSION In conclusion, we highlight the crucial importance of acknowledging empathy deficits in these diseases, showing their repercussion on both patients' and caregivers' quality of life, the establishment of a functional doctor-patient relationship, and the development of efficacious psychological intervention. These clinical approaches can be enriched by the knowledge of the spared abilities of patients affected by neurodegenerative diseases.
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Affiliation(s)
- Emanuele Pick
- Department of Philosophy, Sociology, Education, and Applied Psychology, University of Padova, Padova, Italy
| | - Johann R Kleinbub
- Department of Philosophy, Sociology, Education, and Applied Psychology, University of Padova, Padova, Italy
| | - Stefania Mannarini
- Department of Philosophy, Sociology, Education, and Applied Psychology, University of Padova, Padova, Italy.,Interdepartmental Center for Family Research, University of Padova, Padova, Italy
| | - Arianna Palmieri
- Department of Philosophy, Sociology, Education, and Applied Psychology, University of Padova, Padova, Italy.,Padova Neuroscience Center, University of Padova, Padova, Italy
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88
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Risacher SL, Saykin AJ. Neuroimaging in aging and neurologic diseases. HANDBOOK OF CLINICAL NEUROLOGY 2019; 167:191-227. [PMID: 31753134 DOI: 10.1016/b978-0-12-804766-8.00012-1] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Neuroimaging biomarkers for neurologic diseases are important tools, both for understanding pathology associated with cognitive and clinical symptoms and for differential diagnosis. This chapter explores neuroimaging measures, including structural and functional measures from magnetic resonance imaging (MRI) and molecular measures primarily from positron emission tomography (PET), in healthy aging adults and in a number of neurologic diseases. The spectrum covers neuroimaging measures from normal aging to a variety of dementias: late-onset Alzheimer's disease [AD; including mild cognitive impairment (MCI)], familial and nonfamilial early-onset AD, atypical AD syndromes, posterior cortical atrophy (PCA), logopenic aphasia (lvPPA), cerebral amyloid angiopathy (CAA), vascular dementia (VaD), sporadic and familial behavioral-variant frontotemporal dementia (bvFTD), semantic dementia (SD), progressive nonfluent aphasia (PNFA), frontotemporal dementia with motor neuron disease (FTD-MND), frontotemporal dementia with amyotrophic lateral sclerosis (FTD-ALS), corticobasal degeneration (CBD), progressive supranuclear palsy (PSP), dementia with Lewy bodies (DLB), Parkinson's disease (PD) with and without dementia, and multiple systems atrophy (MSA). We also include a discussion of the appropriate use criteria (AUC) for amyloid imaging and conclude with a discussion of differential diagnosis of neurologic dementia disorders in the context of neuroimaging.
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Affiliation(s)
- Shannon L Risacher
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Andrew J Saykin
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, United States.
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89
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Sintini I, Schwarz CG, Martin PR, Graff-Radford J, Machulda MM, Senjem ML, Reid RI, Spychalla AJ, Drubach DA, Lowe VJ, Jack CR, Josephs KA, Whitwell JL. Regional multimodal relationships between tau, hypometabolism, atrophy, and fractional anisotropy in atypical Alzheimer's disease. Hum Brain Mapp 2018; 40:1618-1631. [PMID: 30549156 DOI: 10.1002/hbm.24473] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2018] [Revised: 10/20/2018] [Accepted: 10/25/2018] [Indexed: 11/10/2022] Open
Abstract
Alzheimer's disease (AD) can present with atypical clinical forms where the prominent domain of deficit is not memory, that is, atypical AD. Atypical AD patients show cortical atrophy on MRI, hypometabolism on [18 F]fluorodeoxyglucose (FDG) PET, tau uptake on [18 F]AV-1451 PET, and white matter tract degeneration on diffusion tensor imaging (DTI). How these disease processes relate to each other locally and distantly remains unclear. We aimed to examine multimodal neuroimaging relationships in individuals with atypical AD, using univariate and multivariate techniques at region- and voxel-level. Forty atypical AD patients underwent MRI, FDG-PET, tau-PET, beta-amyloid PET, and DTI. Patients were all beta-amyloid positive. Partial Pearson's correlations were performed between tau and FDG standardized uptake value ratios, gray matter MRI-volumes and white matter tract fractional anisotropy. Sparse canonical correlation analysis was applied to identify multivariate relationships between the same quantities. Voxel-level associations across modalities were also assessed. Tau showed strong local negative correlations with FDG metabolism in the occipital and frontal lobes. Tau in frontal and parietal regions was negatively associated with temporoparietal gray matter MRI-volume. Fractional anisotropy in a set of posterior white matter tracts, including the splenium of the corpus callosum, cingulum, and posterior thalamic radiation, was negatively correlated with parietal and occipital tau, atrophy and, predominantly, with hypometabolism. These results support the view that tau is the driving force behind neurodegeneration in atypical AD, and that a breakdown in structural connectivity is related to cortical neurodegeneration, particularly hypometabolism.
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Affiliation(s)
- Irene Sintini
- Department of Radiology, Mayo Clinic, Rochester, Minnesota
| | | | - Peter R Martin
- Department of Health Science Research (Biostatistics), Mayo Clinic, Rochester, Minnesota
| | | | - Mary M Machulda
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota
| | - Matthew L Senjem
- Department of Radiology, Mayo Clinic, Rochester, Minnesota.,Department of Information Technology, Mayo Clinic, Rochester, Minnesota
| | - Robert I Reid
- Department of Information Technology, Mayo Clinic, Rochester, Minnesota
| | | | | | - Val J Lowe
- Department of Radiology, Mayo Clinic, Rochester, Minnesota
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90
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Marcoux A, Burgos N, Bertrand A, Teichmann M, Routier A, Wen J, Samper-González J, Bottani S, Durrleman S, Habert MO, Colliot O. An Automated Pipeline for the Analysis of PET Data on the Cortical Surface. Front Neuroinform 2018; 12:94. [PMID: 30618699 PMCID: PMC6296445 DOI: 10.3389/fninf.2018.00094] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2018] [Accepted: 11/23/2018] [Indexed: 12/14/2022] Open
Abstract
We present a fully automatic pipeline for the analysis of PET data on the cortical surface. Our pipeline combines tools from FreeSurfer and PETPVC, and consists of (i) co-registration of PET and T1-w MRI (T1) images, (ii) intensity normalization, (iii) partial volume correction, (iv) robust projection of the PET signal onto the subject's cortical surface, (v) spatial normalization to a template, and (vi) atlas statistics. We evaluated the performance of the proposed workflow by performing group comparisons and showed that the approach was able to identify the areas of hypometabolism characteristic of different dementia syndromes: Alzheimer's disease (AD) and both the semantic and logopenic variants of primary progressive aphasia. We also showed that these results were comparable to those obtained with a standard volume-based approach. We then performed individual classifications and showed that vertices can be used as features to differentiate cognitively normal and AD subjects. This pipeline is integrated into Clinica, an open-source software platform for neuroscience studies available at www.clinica.run.
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Affiliation(s)
- Arnaud Marcoux
- Institut du Cerveau et de la Moelle épinière, ICM, Paris, France.,Inserm, U 1127, Paris, France.,CNRS, UMR 7225, Paris, France.,Sorbonne Université, Paris, France.,Inria, Aramis Project-Team, Paris, France
| | - Ninon Burgos
- Institut du Cerveau et de la Moelle épinière, ICM, Paris, France.,Inserm, U 1127, Paris, France.,CNRS, UMR 7225, Paris, France.,Sorbonne Université, Paris, France.,Inria, Aramis Project-Team, Paris, France
| | - Anne Bertrand
- Institut du Cerveau et de la Moelle épinière, ICM, Paris, France.,Inserm, U 1127, Paris, France.,CNRS, UMR 7225, Paris, France.,Sorbonne Université, Paris, France.,Inria, Aramis Project-Team, Paris, France.,AP-HP, Departments of Neuroradiology and Neurology, Pitié-Salpétriére Hospital, Paris, France
| | - Marc Teichmann
- Inserm, U 1127, Paris, France.,CNRS, UMR 7225, Paris, France.,Sorbonne Université, Paris, France.,Institut du Cerveau et de la Moelle épinière, ICM, FrontLab, Paris, France.,Department of Neurology, National Reference Center for "PPA and rare dementias", Institute for Memory and Alzheimer's Disease, Pitié Salpêtrière Hospital, AP-HP, Paris, France
| | - Alexandre Routier
- Inserm, U 1127, Paris, France.,CNRS, UMR 7225, Paris, France.,Sorbonne Université, Paris, France.,Inria, Aramis Project-Team, Paris, France.,Institut du Cerveau et de la Moelle épinière, ICM, FrontLab, Paris, France
| | - Junhao Wen
- Institut du Cerveau et de la Moelle épinière, ICM, Paris, France.,Inserm, U 1127, Paris, France.,CNRS, UMR 7225, Paris, France.,Sorbonne Université, Paris, France.,Inria, Aramis Project-Team, Paris, France
| | - Jorge Samper-González
- Institut du Cerveau et de la Moelle épinière, ICM, Paris, France.,Inserm, U 1127, Paris, France.,CNRS, UMR 7225, Paris, France.,Sorbonne Université, Paris, France.,Inria, Aramis Project-Team, Paris, France
| | - Simona Bottani
- Institut du Cerveau et de la Moelle épinière, ICM, Paris, France.,Inserm, U 1127, Paris, France.,CNRS, UMR 7225, Paris, France.,Sorbonne Université, Paris, France.,Inria, Aramis Project-Team, Paris, France
| | - Stanley Durrleman
- Institut du Cerveau et de la Moelle épinière, ICM, Paris, France.,Inserm, U 1127, Paris, France.,CNRS, UMR 7225, Paris, France.,Sorbonne Université, Paris, France.,Inria, Aramis Project-Team, Paris, France
| | - Marie-Odile Habert
- AP-HP, Hôpital Pitié-Salpêtrière, Department of Nuclear Medicine, Paris, France.,Laboratoire d'Imagerie Biomédicale, Sorbonne Universités, UPMC Univ Paris 06, Inserm U 1146, CNRS UMR 7371, Paris, France.,Centre Acquisition et Traitement des Images, Paris, France
| | - Olivier Colliot
- Institut du Cerveau et de la Moelle épinière, ICM, Paris, France.,Inserm, U 1127, Paris, France.,CNRS, UMR 7225, Paris, France.,Sorbonne Université, Paris, France.,Inria, Aramis Project-Team, Paris, France.,AP-HP, Departments of Neuroradiology and Neurology, Pitié-Salpétriére Hospital, Paris, France
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91
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Cho H, Kim HJ, Choi JY, Ryu YH, Lee MS, Na DL, Seo SW, Lyoo CH. 18F-flortaucipir uptake patterns in clinical subtypes of primary progressive aphasia. Neurobiol Aging 2018; 75:187-197. [PMID: 30594046 DOI: 10.1016/j.neurobiolaging.2018.11.017] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2018] [Revised: 11/14/2018] [Accepted: 11/15/2018] [Indexed: 11/19/2022]
Abstract
We analyzed 18F-flortaucipir uptake patterns and structural changes in patients with subtypes of primary progressive aphasia (PPA) using 18F-flortaucipir positron emission tomography and volumetric magnetic resonance imaging. We enrolled 34 consecutive patients with PPA (10 nonfluent/agrammatic PPA [nfvPPA], 18 semantic variant PPA [svPPA], and 6 logopenic variant PPA [lvPPA], as well as 20 healthy controls, and 20 patients with Alzheimer's disease. 18F-flortaucipir uptake was increased in the frontal cortex and underlying white matter, and subcortical nuclei in the 10 nfvPPA and 8 nfvPPA-amyloid-β (Aβ)- subgroup patients. In the svPPA patients (both the 13 svPPA-Aβ- and 5 svPPA-Aβ+), uptake generally increased in the widespread neocortex with left anterior temporal predominance. 18F-flortaucipir uptake patterns in the 6 lvPPA and the 5 lvPPA-Aβ+ subgroup patients were similar to those seen in the patients with Alzheimer's disease with mild predominance in the left lateral temporal cortex. Cortical thinning in each PPA subtype corresponded with increased 18F-flortaucipir uptake. 18F-flortaucipir uptake patterns and cortical atrophy were distinct and corresponded to areas related to the specific language functions that are impaired in each subtype of PPA.
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Affiliation(s)
- Hanna Cho
- Department of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hee Jin Kim
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jae Yong Choi
- Department of Nuclear Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea; Division of RI-Convergence Research, Korea Institute Radiological and Medical Sciences, Seoul, South Korea
| | - Young Hoon Ryu
- Department of Nuclear Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Myung Sik Lee
- Department of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Duk L Na
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Sang Won Seo
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
| | - Chul Hyoung Lyoo
- Department of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
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92
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Femminella GD, Thayanandan T, Calsolaro V, Komici K, Rengo G, Corbi G, Ferrara N. Imaging and Molecular Mechanisms of Alzheimer's Disease: A Review. Int J Mol Sci 2018; 19:E3702. [PMID: 30469491 PMCID: PMC6321449 DOI: 10.3390/ijms19123702] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2018] [Revised: 11/13/2018] [Accepted: 11/14/2018] [Indexed: 02/07/2023] Open
Abstract
Alzheimer's disease is the most common form of dementia and is a significant burden for affected patients, carers, and health systems. Great advances have been made in understanding its pathophysiology, to a point that we are moving from a purely clinical diagnosis to a biological one based on the use of biomarkers. Among those, imaging biomarkers are invaluable in Alzheimer's, as they provide an in vivo window to the pathological processes occurring in Alzheimer's brain. While some imaging techniques are still under evaluation in the research setting, some have reached widespread clinical use. In this review, we provide an overview of the most commonly used imaging biomarkers in Alzheimer's disease, from molecular PET imaging to structural MRI, emphasising the concept that multimodal imaging would likely prove to be the optimal tool in the future of Alzheimer's research and clinical practice.
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Affiliation(s)
| | - Tony Thayanandan
- Imperial Memory Unit, Charing Cross Hospital, Imperial College London, London W6 8RF, UK.
| | - Valeria Calsolaro
- Neurology Imaging Unit, Imperial College London, London W12 0NN, UK.
| | - Klara Komici
- Department of Medicine and Health Sciences, University of Molise, 86100 Campobasso, Italy.
| | - Giuseppe Rengo
- Department of Translational Medical Sciences, Federico II University of Naples, 80131 Naples, Italy.
- Istituti Clinici Scientifici Maugeri SPA-Società Benefit, IRCCS, 82037 Telese Terme, Italy.
| | - Graziamaria Corbi
- Department of Medicine and Health Sciences, University of Molise, 86100 Campobasso, Italy.
| | - Nicola Ferrara
- Department of Translational Medical Sciences, Federico II University of Naples, 80131 Naples, Italy.
- Istituti Clinici Scientifici Maugeri SPA-Società Benefit, IRCCS, 82037 Telese Terme, Italy.
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93
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Wei H, Kong M, Zhang C, Guan L, Ba M. The structural MRI markers and cognitive decline in prodromal Alzheimer's disease: a 2-year longitudinal study. Quant Imaging Med Surg 2018; 8:1004-1019. [PMID: 30598878 DOI: 10.21037/qims.2018.10.08] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Background Being clinically diagnosed with a mild cognitive impairment (MCI) due to Alzheimer's disease (AD) is widely studied. Yet, the clinical and structural neuroimaging characteristics for prodromal AD, which are defined as A+T+MCI based on the AT (N) system are still highly desirable. This study evaluates the differences of the cognitive assessments and structural magnetic resonance imaging (MRI) between the early MCI (EMCI) and late MCI (LMCI) participants based on the AT (N) system. The potential clinical value of the structural MRI as a predictor of cognitive decline during follow-up in prodromal AD is further investigated. Methods A total of 406 MCI participants from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database were chosen and dichotomized into EMCI and LMCI groups according to the Second Edition (Logical Memory II) Wechsler Memory Scale. Multiple markers' data was collected, including age, sex, years of education, ApoE4 status, cerebrospinal fluid (CSF) biomarkers, standardized uptake values ratios (SUVR) means of florbetapir-PET-AV45, cognitive measures, and structural MRI. We chose 197 A+T+MCI participants (prodromal AD) with positive biomarkers of Aβ plaques (labeled "A") and fibrillar tau (labeled "T"). We diagnosed Aβ plaques positive by the SUVR means of florbetapir-PET-AV45 (cut-off >1.1) and fibrillar tau positive by CSF phosphorylated-tau at threonine 181 (p-tau) (cut-off >23 pg/mL). The differences of cognitive assessments and regions of interest (ROIs) defined on the MRI template between EMCI and LMCI were compared. Furthermore, the potential clinical utility of the MRI as the predictor of cognitive decline in prodromal AD was evaluated by investigating the relationship between baseline MRI markers and cognition decline at the follow-up period, through a linear regression model. Results The LMCI participants had a significantly more amyloid burden and CSF levels of total t-tau than the EMCI participants. The LMCI participants scored a lower result than the EMCI group in the global cognition scales and subscales which included tests for memory, delayed recall memory, executive function, language, attention and visuospatial skills. The cognition levels declined faster in the LMCI participants during the 12- and 24-month follow-up. There were significant differences in ROIs on the structural MRI between the two groups, including a bilateral entorhinal, a bilateral hippocampus, a bilateral amygdala, a bilateral lateral ventricle and cingulate, a corpus callosum, and a left temporal. The thickness average of the left entorhinal, the left middle temporal, the left superior temporal, and the right isthmus cingulate was a main contributor to the decreased global cognition levels. The thickness average of the left superior temporal and bilateral entorhinal played a key role in the memory domain decline. The thickness average of the left middle temporal, and the right isthmus cingulate was significantly associated with an executive function decline. Conclusions Based on the AT (N) system, surely, both the EMCI and LMCI diagnoses presented significant differences in multiple cognition domains. Signature ROIs from the structural MRI tests had correlated a cognitive decline, and could act as one potential predictive marker.
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Affiliation(s)
- Hongchun Wei
- Department of Neurology, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai 264000, China
| | - Min Kong
- Department of Neurology, Yantaishan Hospital, Yantai 264000, China
| | - Chunhua Zhang
- Department of Neurology, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai 264000, China
| | - Lina Guan
- Department of Neurology, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai 264000, China
| | - Maowen Ba
- Department of Neurology, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai 264000, China
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Tetzloff KA, Whitwell JL, Utianski RL, Duffy JR, Clark HM, Machulda MM, Strand EA, Josephs KA. Quantitative assessment of grammar in amyloid-negative logopenic aphasia. BRAIN AND LANGUAGE 2018; 186:26-31. [PMID: 30205287 PMCID: PMC6299833 DOI: 10.1016/j.bandl.2018.09.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2018] [Revised: 08/25/2018] [Accepted: 09/03/2018] [Indexed: 05/31/2023]
Abstract
Logopenic primary progressive aphasia (lvPPA) typically results from underlying Alzheimer's disease, but subjects have been reported that do not show beta-amyloid (Aβ) deposition. These subjects do not differ on neurological and speech-language testing from Aβ-positive lvPPA, but they impressionistically show increased grammatical deficits. We performed a quantitative linguistic analysis of grammatical characteristics in Aβ-negative lvPPA compared to Aβ-positive lvPPA and agrammatic PPA, which is characterized by increased grammatical difficulties. Aβ-negative lvPPA used fewer function words and correct verbs but more syntactic and semantic errors compared to Aβ-positive lvPPA. These measures did not differ between Aβ-negative lvPPA and agPPA. Both lvPPA cohorts showed a higher mean length of utterance, more complex sentences, and fewer nouns than agPPA. Aβ-negative lvPPA subjects appear unique and share linguistic features with both agPPA and Aβ-positive lvPPA. Quantitative language analysis in lvPPA may be able to distinguish those with and without Aβ deposition.
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Affiliation(s)
| | | | - Rene L Utianski
- Department of Neurology (Division of Speech and Language Pathology), Mayo Clinic, Rochester, MN, United States
| | - Joseph R Duffy
- Department of Neurology (Division of Speech and Language Pathology), Mayo Clinic, Rochester, MN, United States
| | - Heather M Clark
- Department of Neurology (Division of Speech and Language Pathology), Mayo Clinic, Rochester, MN, United States
| | - Mary M Machulda
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, United States
| | - Edythe A Strand
- Department of Neurology (Division of Speech and Language Pathology), Mayo Clinic, Rochester, MN, United States
| | - Keith A Josephs
- Department of Neurology (Division of Behavioral Neurology and Movement Disorders), Mayo Clinic, Rochester, MN, United States
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95
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Bergeron D, Gorno-Tempini ML, Rabinovici GD, Santos-Santos MA, Seeley W, Miller BL, Pijnenburg Y, Keulen MA, Groot C, van Berckel BNM, van der Flier WM, Scheltens P, Rohrer JD, Warren JD, Schott JM, Fox NC, Sanchez-Valle R, Grau-Rivera O, Gelpi E, Seelaar H, Papma JM, van Swieten JC, Hodges JR, Leyton CE, Piguet O, Rogalski EJ, Mesulam MM, Koric L, Kristensen N, Pariente J, Dickerson B, Mackenzie IR, Hsiung GYR, Belliard S, Irwin DJ, Wolk DA, Grossman M, Jones M, Harris J, Mann D, Snowden JS, Chrem-Mendez P, Calandri IL, Amengual AA, Miguet-Alfonsi C, Magnin E, Magnani G, Santangelo R, Deramecourt V, Pasquier F, Mattsson N, Nilsson C, Hansson O, Keith J, Masellis M, Black SE, Matías-Guiu JA, Cabrera-Martin MN, Paquet C, Dumurgier J, Teichmann M, Sarazin M, Bottlaender M, Dubois B, Rowe CC, Villemagne VL, Vandenberghe R, Granadillo E, Teng E, Mendez M, Meyer PT, Frings L, Lleó A, Blesa R, Fortea J, Seo SW, Diehl-Schmid J, Grimmer T, Frederiksen KS, Sánchez-Juan P, Chételat G, Jansen W, Bouchard RW, Laforce RJ, Visser PJ, Ossenkoppele R. Prevalence of amyloid-β pathology in distinct variants of primary progressive aphasia. Ann Neurol 2018; 84:729-740. [PMID: 30255971 PMCID: PMC6354051 DOI: 10.1002/ana.25333] [Citation(s) in RCA: 116] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2017] [Revised: 09/01/2018] [Accepted: 09/03/2018] [Indexed: 12/14/2022]
Abstract
OBJECTIVE To estimate the prevalence of amyloid positivity, defined by positron emission tomography (PET)/cerebrospinal fluid (CSF) biomarkers and/or neuropathological examination, in primary progressive aphasia (PPA) variants. METHODS We conducted a meta-analysis with individual participant data from 1,251 patients diagnosed with PPA (including logopenic [lvPPA, n = 443], nonfluent [nfvPPA, n = 333], semantic [svPPA, n = 401], and mixed/unclassifiable [n = 74] variants of PPA) from 36 centers, with a measure of amyloid-β pathology (CSF [n = 600], PET [n = 366], and/or autopsy [n = 378]) available. The estimated prevalence of amyloid positivity according to PPA variant, age, and apolipoprotein E (ApoE) ε4 status was determined using generalized estimating equation models. RESULTS Amyloid-β positivity was more prevalent in lvPPA (86%) than in nfvPPA (20%) or svPPA (16%; p < 0.001). Prevalence of amyloid-β positivity increased with age in nfvPPA (from 10% at age 50 years to 27% at age 80 years, p < 0.01) and svPPA (from 6% at age 50 years to 32% at age 80 years, p < 0.001), but not in lvPPA (p = 0.94). Across PPA variants, ApoE ε4 carriers were more often amyloid-β positive (58.0%) than noncarriers (35.0%, p < 0.001). Autopsy data revealed Alzheimer disease pathology as the most common pathologic diagnosis in lvPPA (76%), frontotemporal lobar degeneration-TDP-43 in svPPA (80%), and frontotemporal lobar degeneration-TDP-43/tau in nfvPPA (64%). INTERPRETATION This study shows that the current PPA classification system helps to predict underlying pathology across different cohorts and clinical settings, and suggests that age and ApoE genotype should be considered when interpreting amyloid-β biomarkers in PPA patients. Ann Neurol 2018;84:737-748.
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Affiliation(s)
- David Bergeron
- Interdisciplinary Clinic of Memory of the Child Jesus, Laval University, Quebec City, Quebec, Canada
- Alzheimer center Amsterdam, Amsterdam UMC, Amsterdam Neuroscience, VU University, Amsterdam, the Netherlands
| | - Maria L Gorno-Tempini
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Gil D Rabinovici
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Miguel A Santos-Santos
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA
- Cognition and Brain Plasticity Group, Bellvitge Biomedical Research Institute, Llobregat Hospital, Barcelona, Spain
- Llobregat Hospital, ACE Foundation, Catalan Institute of Applied Neurosciences, UIC Barcelona, Barcelona, Spain
| | - William Seeley
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Bruce L Miller
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Yolande Pijnenburg
- Alzheimer center Amsterdam, Amsterdam UMC, Amsterdam Neuroscience, VU University, Amsterdam, the Netherlands
| | - M Antoinette Keulen
- Alzheimer center Amsterdam, Amsterdam UMC, Amsterdam Neuroscience, VU University, Amsterdam, the Netherlands
| | - Colin Groot
- Alzheimer center Amsterdam, Amsterdam UMC, Amsterdam Neuroscience, VU University, Amsterdam, the Netherlands
| | - Bart N M van Berckel
- Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, the Netherlands
| | - Wiesje M van der Flier
- Alzheimer center Amsterdam, Amsterdam UMC, Amsterdam Neuroscience, VU University, Amsterdam, the Netherlands
| | - Philip Scheltens
- Alzheimer center Amsterdam, Amsterdam UMC, Amsterdam Neuroscience, VU University, Amsterdam, the Netherlands
| | - Jonathan D Rohrer
- Dementia Research Centre, UCL Institute of Neurology, University College London, London, United Kingdom
| | - Jason D Warren
- Dementia Research Centre, UCL Institute of Neurology, University College London, London, United Kingdom
| | - Jonathan M Schott
- Dementia Research Centre, UCL Institute of Neurology, University College London, London, United Kingdom
| | - Nick C Fox
- Dementia Research Centre, UCL Institute of Neurology, University College London, London, United Kingdom
| | - Raquel Sanchez-Valle
- Alzheimer's Disease and Other Cognitive Disorders Unit, August Pi i Sunyer Biomedical Research Institute, Barcelona, Spain
| | - Oriol Grau-Rivera
- Alzheimer's Disease and Other Cognitive Disorders Unit, August Pi i Sunyer Biomedical Research Institute, Barcelona, Spain
| | - Ellen Gelpi
- Alzheimer's Disease and Other Cognitive Disorders Unit, August Pi i Sunyer Biomedical Research Institute, Barcelona, Spain
- Institute of Neurology, Medical University of Vienna, Vienna, Austria
| | - Harro Seelaar
- Alzheimer Center, Department of Neurology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Janne M Papma
- Alzheimer Center, Department of Neurology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - John C van Swieten
- Alzheimer Center, Department of Neurology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - John R Hodges
- Brain and Mind Centre, School of Medical Sciences, University of Sydney, Sydney, New South Wales, Australia
- Neuroscience Research Australia and School of Medical Sciences, University of New South Wales, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence in Cognition and its Disorders, Sydney, New South Wales, Australia
| | - Cristian E Leyton
- Frontotemporal Dementia Unit, Department of Neurology, Massachusetts Alzheimer's Disease Research Center, Harvard Medical School, Boston, MA
| | - Olivier Piguet
- Brain and Mind Centre, School of Medical Sciences, University of Sydney, Sydney, New South Wales, Australia
- Neuroscience Research Australia and School of Medical Sciences, University of New South Wales, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence in Cognition and its Disorders, Sydney, New South Wales, Australia
| | - Emily J Rogalski
- Neurological Sciences, Rush University, Chicago, IL
- Cognitive Neurology and Alzheimer Disease Center, Northwestern University Medical School, Chicago, IL
| | - Marsel M Mesulam
- Cognitive Neurology and Alzheimer Disease Center, Northwestern University Medical School, Chicago, IL
| | - Lejla Koric
- Department of Neurology and Neuropsychology, La Timone Hospital, Marseille, France
| | - Nora Kristensen
- Department of Neurology and Neuropsychology, La Timone Hospital, Marseille, France
| | - Jeéreémie Pariente
- University of Toulouse, INSERM, Toulouse Neuroimaging Center, Toulouse, France
| | - Bradford Dickerson
- Frontotemporal Dementia Unit, Department of Neurology, Massachusetts Alzheimer's Disease Research Center, Harvard Medical School, Boston, MA
| | - Ian R Mackenzie
- Division of Neurology, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Ging-Yuek R Hsiung
- Division of Neurology, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Serge Belliard
- Division of Neurology, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - David J Irwin
- Department of Pathology and Laboratory Medicine, Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, PA
| | - David A Wolk
- Department of Neurology, University of Pennsylvania, Philadelphia, PA
| | - Murray Grossman
- Department of Neurology, University of Pennsylvania, Philadelphia, PA
- Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA
| | - Matthew Jones
- Cerebral Function Unit, Greater Manchester Neurosciences Centre, Manchester, United Kingdom
- School of Community-Based Medicine, University of Manchester, Manchester, United Kingdom
| | - Jennifer Harris
- School of Community-Based Medicine, University of Manchester, Manchester, United Kingdom
| | - David Mann
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, University of Manchester, Manchester, United Kingdom
| | - Julie S Snowden
- School of Community-Based Medicine, University of Manchester, Manchester, United Kingdom
| | - Patricio Chrem-Mendez
- Center of Aging and Memory, Neurological Research Institute, Buenos Aires, Argentina
| | - Ismael L Calandri
- Center of Aging and Memory, Neurological Research Institute, Buenos Aires, Argentina
| | - Alejandra A Amengual
- Center of Aging and Memory, Neurological Research Institute, Buenos Aires, Argentina
| | - Carole Miguet-Alfonsi
- Department of Neurology, CHRU Besançon and Integrative and Clinical Neurosciences Laboratory, Regional Memory Center, University of Bourgogne Franche-Comté, Besançon, France
| | - Eloi Magnin
- Department of Neurology, CHRU Besançon and Integrative and Clinical Neurosciences Laboratory, Regional Memory Center, University of Bourgogne Franche-Comté, Besançon, France
| | - Giuseppe Magnani
- Department of Neurology, Vita Salute University and IRCCS San Raffaele Hospital, INSPE, Milan, Italy
| | - Roberto Santangelo
- Department of Neurology, Vita Salute University and IRCCS San Raffaele Hospital, INSPE, Milan, Italy
| | | | - Florence Pasquier
- University of Lille Nord de France, INSERM U1171, DISTALZ, Lille, France
| | - Niklas Mattsson
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Christer Nilsson
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Lund, Sweden
- Neuropsychiatric Clinic, Skåne University Hospital, Malmö, Sweden
| | - Julia Keith
- Anatomical Pathology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Mario Masellis
- Department of Medicine (Neurology), Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
- Hurvitz Brain Sciences Research Program, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Sandra E Black
- Department of Medicine (Neurology), Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
- Hurvitz Brain Sciences Research Program, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Jordi A Matías-Guiu
- Department of Neurology and Nuclear Medicine, San Carlos Clinical Hospital, San Carlos Health Research Institute, Complutense University of Madrid, Madrid, Spain
| | - María-Nieves Cabrera-Martin
- Department of Neurology and Nuclear Medicine, San Carlos Clinical Hospital, San Carlos Health Research Institute, Complutense University of Madrid, Madrid, Spain
| | - Claire Paquet
- Memory Center, Department of Neurology, Lariboisière-Fernand-Widal Hospital, Paris, France
- Department of Pathology, Lariboisière-Fernand-Widal Hospital, Paris, France
| | - Julien Dumurgier
- Memory Center, Department of Neurology, Lariboisière-Fernand-Widal Hospital, Paris, France
| | - Marc Teichmann
- Department of Neurology, National Reference Center for PPA and rare dementias, Pitié Salpêtriére Hospital, AP-HP, Paris, France
| | - Marie Sarazin
- Frederic Joliot Hospital Service, ERL 9218 CNRS, CEA, Orsay, Île-de-France, France
- University of Paris-Sud, IMIV, UMR 1023 INSERM, CEA, Orsay, Île-de-France, France
| | - Michel Bottlaender
- Frederic Joliot Hospital Service, ERL 9218 CNRS, CEA, Orsay, Île-de-France, France
- University of Paris-Sud, IMIV, UMR 1023 INSERM, CEA, Orsay, Île-de-France, France
| | - Bruno Dubois
- Center for Cognitive and Behavioral Diseases, Pitié Salpêtrière University Hospital, Paris, France
| | - Christopher C Rowe
- Department of Molecular Imaging and Therapy, Austin Health, Melbourne, Victoria, Australia
- Department of Medicine, University of Melbourne, Melbourne, Victoria, Australia
| | - Victor L Villemagne
- Department of Molecular Imaging and Therapy, Austin Health, Melbourne, Victoria, Australia
- Department of Medicine, University of Melbourne, Melbourne, Victoria, Australia
| | - Rik Vandenberghe
- Department of Neurology, University Hospital Leuven, Leuven, Belgium
| | - Elias Granadillo
- Department of Neurology, University of California, Los Angeles, Los Angeles, CA
- VA Greater Los Angeles Healthcare System, Los Angeles, CA
| | - Edmond Teng
- Neurobehavior Service, Department of Neurology, University of California, Los Angeles, Los Angeles, CA
| | - Mario Mendez
- Neurobehavior Unit, West Los Angeles VA Medical Center, Los Angeles, CA
| | - Philipp T Meyer
- Department of Nuclear Medicine, Faculty of Medicine, University Hospital of Freiburg, Freiburg, Germany
| | - Lars Frings
- Department of Nuclear Medicine, Faculty of Medicine, University Hospital of Freiburg, Freiburg, Germany
| | - Alberto Lleó
- Memory Unit, Department of Neurology, Santa Cruz and Saint Paul Hospital, Barcelona, Spain
- Saint Paul Biomedical Research Institute, Autonomous University of Barcelona, Barcelona, Spain
- Center for Biomedical Network Research on Neurodegenerative Diseases, Madrid, Spain
| | - Rafael Blesa
- Memory Unit, Department of Neurology, Santa Cruz and Saint Paul Hospital, Barcelona, Spain
- Saint Paul Biomedical Research Institute, Autonomous University of Barcelona, Barcelona, Spain
| | - Juan Fortea
- Memory Unit, Department of Neurology, Santa Cruz and Saint Paul Hospital, Barcelona, Spain
- Saint Paul Biomedical Research Institute, Autonomous University of Barcelona, Barcelona, Spain
| | - Sang Won Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Janine Diehl-Schmid
- Department of Psychiatry and Psychotherapy, Technical University of Munich, Munich, Germany
| | - Timo Grimmer
- Department of Psychiatry and Psychotherapy, Technical University of Munich, Munich, Germany
| | | | | | - Gaël Chételat
- INSERM UMR-S U1237, University of Caen Normandy, Caen, France
| | - Willemijn Jansen
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
- Banner Alzheimer's Institute, Phoenix, AZ
| | - Rémi W Bouchard
- Interdisciplinary Clinic of Memory of the Child Jesus, Laval University, Quebec City, Quebec, Canada
| | - Robert Jr Laforce
- Interdisciplinary Clinic of Memory of the Child Jesus, Laval University, Quebec City, Quebec, Canada
- Clinique Interdisciplinaire de Mémoire de l'Enfant-Jésus, CHU de Québec, Université Laval, Québec, Canada
| | - Pieter Jelle Visser
- Llobregat Hospital, ACE Foundation, Catalan Institute of Applied Neurosciences, UIC Barcelona, Barcelona, Spain
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Rik Ossenkoppele
- Alzheimer center Amsterdam, Amsterdam UMC, Amsterdam Neuroscience, VU University, Amsterdam, the Netherlands
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Lund, Sweden
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Herholz K, Haense C, Gerhard A, Jones M, Anton-Rodriguez J, Segobin S, Snowden JS, Thompson JC, Kobylecki C. Metabolic regional and network changes in Alzheimer's disease subtypes. J Cereb Blood Flow Metab 2018; 38:1796-1806. [PMID: 28675110 PMCID: PMC6168902 DOI: 10.1177/0271678x17718436] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2017] [Revised: 05/10/2017] [Accepted: 05/19/2017] [Indexed: 11/16/2022]
Abstract
Clinical variants of Alzheimer's disease (AD) include the common amnestic subtype as well as subtypes characterised by leading visual processing impairments or by multimodal neurocognitive deficits. We investigated regional metabolic patterns and networks between AD subtypes. The study comprised 9 age-matched controls and 25 patients with mild to moderate AD. Methods included clinical and neuropsychological assessment, high-resolution FDG PET and T1-weighted 3D MR imaging with PET-MR coregistration, grey matter segmentation, atlas-based regions-of-interest, linear mixed effects and regional correlation analysis. Regional metabolic patterns differed significantly between groups, but significant hypometabolism in the posterior cingulate cortex (PCC) was common to all subtypes. The most distinctive regional abnormality was occipital hypometabolism in the visual subtype. In controls, two large clusters of positive regional metabolic correlations were observed. The most pronounced breakdown of the normal correlation pattern was found in amnestic patients who, in contrast, showed the least regional focal metabolic deficits. The normal positive correlation between PCC and hippocampus was lost in all subtypes. In conclusion, PCC hypometabolism and metabolic correlation breakdown between PCC and hippocampus are the common functional core of all AD subtypes. Network alterations exceed focal regional impairment and are most prominent in the amnestic subtype.
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Affiliation(s)
- Karl Herholz
- Division of Informatics, Imaging and
Data Sciences, University of Manchester, Wolfson Molecular Imaging Centre,
Manchester, UK
- Division of Neuroscience and
Experimental Psychology, University of Manchester, Manchester, UK
| | - Cathleen Haense
- Division of Informatics, Imaging and
Data Sciences, University of Manchester, Wolfson Molecular Imaging Centre,
Manchester, UK
| | - Alex Gerhard
- Division of Informatics, Imaging and
Data Sciences, University of Manchester, Wolfson Molecular Imaging Centre,
Manchester, UK
- Division of Neuroscience and
Experimental Psychology, University of Manchester, Manchester, UK
- Salford Royal NHS Foundation Trust,
Salford, UK
- Department of Nuclear Medicine and
Lehrstuhl für Geriatrie, Universitätsklinikum Essen, Essen, Germany
| | - Matthew Jones
- Division of Neuroscience and
Experimental Psychology, University of Manchester, Manchester, UK
- Salford Royal NHS Foundation Trust,
Salford, UK
| | - José Anton-Rodriguez
- Division of Informatics, Imaging and
Data Sciences, University of Manchester, Wolfson Molecular Imaging Centre,
Manchester, UK
| | - Shailendra Segobin
- Division of Informatics, Imaging and
Data Sciences, University of Manchester, Wolfson Molecular Imaging Centre,
Manchester, UK
| | - Julie S Snowden
- Division of Neuroscience and
Experimental Psychology, University of Manchester, Manchester, UK
- Salford Royal NHS Foundation Trust,
Salford, UK
| | - Jennifer C Thompson
- Division of Neuroscience and
Experimental Psychology, University of Manchester, Manchester, UK
- Salford Royal NHS Foundation Trust,
Salford, UK
| | - Christopher Kobylecki
- Division of Neuroscience and
Experimental Psychology, University of Manchester, Manchester, UK
- Salford Royal NHS Foundation Trust,
Salford, UK
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97
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Montembeault M, Brambati SM, Gorno-Tempini ML, Migliaccio R. Clinical, Anatomical, and Pathological Features in the Three Variants of Primary Progressive Aphasia: A Review. Front Neurol 2018; 9:692. [PMID: 30186225 PMCID: PMC6110931 DOI: 10.3389/fneur.2018.00692] [Citation(s) in RCA: 91] [Impact Index Per Article: 15.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2018] [Accepted: 07/31/2018] [Indexed: 11/22/2022] Open
Abstract
Primary progressive aphasias (PPA) are neurodegenerative diseases clinically characterized by an early and relatively isolated language impairment. Three main clinical variants, namely the nonfluent/agrammatic variant (nfvPPA), the semantic variant (svPPA), and the logopenic variant (lvPPA) have been described, each with specific linguistic/cognitive deficits, corresponding anatomical and most probable pathological features. Since the discovery and the development of diagnostic criteria for the PPA variants by the experts in the field, significant progress has been made in the understanding of these diseases. This review aims to provide an overview of the literature on each of the PPA variant in terms of their clinical, anatomical and pathological features, with a specific focus on recent findings. In terms of clinical advancements, recent studies have allowed a better characterization and differentiation of PPA patients based on both their linguistic and non-linguistic profiles. In terms of neuroimaging, techniques such as diffusion imaging and resting-state fMRI have allowed a deeper understanding of the impact of PPA on structural and functional connectivity alterations beyond the well-defined pattern of regional gray matter atrophy. Finally, in terms of pathology, despite significant advances, clinico-pathological correspondence in PPA remains far from absolute. Nonetheless, the improved characterization of PPA has the potential to have a positive impact on the management of patients. Improved reliability of diagnoses and the development of reliable in vivo biomarkers for underlying neuropathology will also be increasingly important in the future as trials for etiology-specific treatments become available.
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Affiliation(s)
- Maxime Montembeault
- INSERM U 1127, CNRS UMR 7225, Sorbonne Universités, and Université Pierre et Marie Curie-Paris 6, UMR S 1127, Institut du Cerveau et de la Moelle Épinière (ICM), FrontLab, Paris, France.,Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, Montréal, QC, Canada.,Département de Psychologie, Université de Montréal, Montréal, QC, Canada
| | - Simona M Brambati
- Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, Montréal, QC, Canada.,Département de Psychologie, Université de Montréal, Montréal, QC, Canada
| | - Maria Luisa Gorno-Tempini
- Memory and Aging Center, University of California at San Francisco, San Francisco, CA, United States
| | - Raffaella Migliaccio
- INSERM U 1127, CNRS UMR 7225, Sorbonne Universités, and Université Pierre et Marie Curie-Paris 6, UMR S 1127, Institut du Cerveau et de la Moelle Épinière (ICM), FrontLab, Paris, France.,Department of Neurology, Institut de la Mémoire et de la Maladie d'Alzheimer (IM2A), Paris, France
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98
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Jeong YJ, Park KW, Kang DY. Role of Positron Emission Tomography as a Biologic Marker in the Diagnosis of Primary Progressive Aphasia: Two Case Reports. Nucl Med Mol Imaging 2018; 52:384-388. [PMID: 30344788 DOI: 10.1007/s13139-018-0538-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2018] [Revised: 07/05/2018] [Accepted: 07/27/2018] [Indexed: 11/27/2022] Open
Abstract
Primary progressive aphasia (PPA) is a heterogenous neurodegenerative disorder characterized by declining language and speech ability. Various underlying neuropathologies can induce PPA, and the disorder is divided into three subtypes-progressive non-fluent aphasia, semantic variant aphasia, and logopenic aphasia-according to clinical features. Accurate disease classification and prediction of underlying diseases are necessary for appropriate treatment, but proper use of imaging tests is important because clinical information alone often makes it difficult to make accurate decisions. Because there is a characteristic metabolic pattern according to the subtypes, F-18 fluorodeoxyglucose positron emission tomography (PET) can indicate subtype classification. In addition, PET studies for imaging amyloid or dopamine transporters play an important role in demonstrating underlying disease. The present case showed that PET imaging studies are useful in diagnosis and could be used as a biomarker in PPA.
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Affiliation(s)
- Young Jin Jeong
- 1Department of Nuclear Medicine, Dong-A University College of Medicine and Medical Center, Dong-A University Hospital, 1, 3ga, Dongdaesin-dong, Seo-gu, Busan, 602-715 Republic of Korea
- 2Institute of Convergence Bio-Health, Dong-A University, Busan, Republic of Korea
| | - Kyung Won Park
- 3Department of Neurology, Dong-A University College of Medicine, Dong-A University Hospital, Busan, Republic of Korea
| | - Do-Young Kang
- 1Department of Nuclear Medicine, Dong-A University College of Medicine and Medical Center, Dong-A University Hospital, 1, 3ga, Dongdaesin-dong, Seo-gu, Busan, 602-715 Republic of Korea
- 2Institute of Convergence Bio-Health, Dong-A University, Busan, Republic of Korea
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Abstract
OBJECTIVES The present study investigated the independent and synergistic effects of amyloid beta (Aβ1-42) and phosphorylated tau (Ptau) pathologies on neuropsychological profiles and trajectories in cognitively normal older adults. METHODS Alzheimer's Disease Neuroimaging Initiative participants identified as cognitively normal at baseline underwent longitudinal assessment (N=518; 0, 12, 24, 36 months), baseline lumbar puncture and follow-up cognitive exams. Cerebral spinal fluid (CSF) biomarker profiles (Aβ-Ptau-, Aβ+Ptau-, Aβ-Ptau+, Aβ+Ptau+) were compared on baseline profiles and trajectories for memory (Rey Auditory Verbal Learning Test), attention/executive function (Trail Making Test, A and B), language (Animal Fluency, Vegetable Fluency, Boston Naming Test) and processing speed (Digit Symbol) using multilevel models. RESULTS The Aβ+Ptau+ group exhibited significantly worse baseline performance on tests of memory and executive function relative to the Aβ-Ptau+ and Aβ-Ptau- groups. The Aβ+Ptau- group fell between the Aβ+Ptau+ participants and the Aβ-Ptau- and Aβ-Ptau+ groups on all three cognitive domains and exhibited worse baseline executive function. The Aβ-Ptau+ group performed worse than Aβ-Ptau- participants on processing speed. Over 36-month follow-up, the Aβ+Ptau+ group exhibited the greatest declines in memory and semantic fluency compared to all other groups. CONCLUSIONS Cognitively normal older adults with both Aβ and Ptau pathology exhibited the weakest profile, marked by the worst memory decline compared to the other groups. Other subtle changes in this group included declines in executive function and semantic fluency. Those with Ptau pathology alone showed slowed processing speed, and those with Aβ pathology alone showed worse attention and executive function compared to biomarker negative participants. (JINS, 2018, 24, 693-702).
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Affiliation(s)
- Jean K. Ho
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
| | - Daniel A. Nation
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
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100
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Molecular imaging in dementia: Past, present, and future. Alzheimers Dement 2018; 14:1522-1552. [DOI: 10.1016/j.jalz.2018.06.2855] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2017] [Revised: 06/02/2018] [Accepted: 06/03/2018] [Indexed: 12/14/2022]
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