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Presumed small vessel disease, imaging and cognition markers in the Alzheimer’s Disease Neuroimaging Initiative
MRI-derived features of presumed cerebral small vessel disease are frequently found in Alzheimer’s disease. Influences of such markers on disease-progression measures are poorly understood. We measured markers of presumed small vessel disease (white matter hyperintensity volumes; cerebral microbleed...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8514859/ https://www.ncbi.nlm.nih.gov/pubmed/34661106 http://dx.doi.org/10.1093/braincomms/fcab226 |
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author | Fiford, Cassidy M Sudre, Carole H Young, Alexandra L Macdougall, Amy Nicholas, Jennifer Manning, Emily N Malone, Ian B Walsh, Phoebe Goodkin, Olivia Pemberton, Hugh G Barkhof, Frederik Alexander, Daniel C Cardoso, M Jorge Biessels, Geert Jan Barnes, Josephine |
author_facet | Fiford, Cassidy M Sudre, Carole H Young, Alexandra L Macdougall, Amy Nicholas, Jennifer Manning, Emily N Malone, Ian B Walsh, Phoebe Goodkin, Olivia Pemberton, Hugh G Barkhof, Frederik Alexander, Daniel C Cardoso, M Jorge Biessels, Geert Jan Barnes, Josephine |
author_sort | Fiford, Cassidy M |
collection | PubMed |
description | MRI-derived features of presumed cerebral small vessel disease are frequently found in Alzheimer’s disease. Influences of such markers on disease-progression measures are poorly understood. We measured markers of presumed small vessel disease (white matter hyperintensity volumes; cerebral microbleeds) on baseline images of newly enrolled individuals in the Alzheimer’s Disease Neuroimaging Initiative cohort (GO and 2) and used linear mixed models to relate these to subsequent atrophy and neuropsychological score change. We also assessed heterogeneity in white matter hyperintensity positioning within biomarker abnormality sequences, driven by the data, using the Subtype and Stage Inference algorithm. This study recruited both sexes and included: controls: [n = 159, mean(SD) age = 74(6) years]; early and late mild cognitive impairment [ns = 265 and 139, respectively, mean(SD) ages =71(7) and 72(8) years, respectively]; Alzheimer’s disease [n = 103, mean(SD) age = 75(8)] and significant memory concern [n = 72, mean(SD) age = 72(6) years]. Baseline demographic and vascular risk-factor data, and longitudinal cognitive scores (Mini-Mental State Examination; logical memory; and Trails A and B) were collected. Whole-brain and hippocampal volume change metrics were calculated. White matter hyperintensity volumes were associated with greater whole-brain and hippocampal volume changes independently of cerebral microbleeds (a doubling of baseline white matter hyperintensity was associated with an increase in atrophy rate of 0.3 ml/year for brain and 0.013 ml/year for hippocampus). Cerebral microbleeds were found in 15% of individuals and the presence of a microbleed, as opposed to none, was associated with increases in atrophy rate of 1.4 ml/year for whole brain and 0.021 ml/year for hippocampus. White matter hyperintensities were predictive of greater decline in all neuropsychological scores, while cerebral microbleeds were predictive of decline in logical memory (immediate recall) and Mini-Mental State Examination scores. We identified distinct groups with specific sequences of biomarker abnormality using continuous baseline measures and brain volume change. Four clusters were found; Group 1 showed early Alzheimer’s pathology; Group 2 showed early neurodegeneration; Group 3 had early mixed Alzheimer’s and cerebrovascular pathology; Group 4 had early neuropsychological score abnormalities. White matter hyperintensity volumes becoming abnormal was a late event for Groups 1 and 4 and an early event for 2 and 3. In summary, white matter hyperintensities and microbleeds were independently associated with progressive neurodegeneration (brain atrophy rates) and cognitive decline (change in neuropsychological scores). Mechanisms involving white matter hyperintensities and progression and microbleeds and progression may be partially separate. Distinct sequences of biomarker progression were found. White matter hyperintensity development was an early event in two sequences. |
format | Online Article Text |
id | pubmed-8514859 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-85148592021-10-15 Presumed small vessel disease, imaging and cognition markers in the Alzheimer’s Disease Neuroimaging Initiative Fiford, Cassidy M Sudre, Carole H Young, Alexandra L Macdougall, Amy Nicholas, Jennifer Manning, Emily N Malone, Ian B Walsh, Phoebe Goodkin, Olivia Pemberton, Hugh G Barkhof, Frederik Alexander, Daniel C Cardoso, M Jorge Biessels, Geert Jan Barnes, Josephine Brain Commun Original Article MRI-derived features of presumed cerebral small vessel disease are frequently found in Alzheimer’s disease. Influences of such markers on disease-progression measures are poorly understood. We measured markers of presumed small vessel disease (white matter hyperintensity volumes; cerebral microbleeds) on baseline images of newly enrolled individuals in the Alzheimer’s Disease Neuroimaging Initiative cohort (GO and 2) and used linear mixed models to relate these to subsequent atrophy and neuropsychological score change. We also assessed heterogeneity in white matter hyperintensity positioning within biomarker abnormality sequences, driven by the data, using the Subtype and Stage Inference algorithm. This study recruited both sexes and included: controls: [n = 159, mean(SD) age = 74(6) years]; early and late mild cognitive impairment [ns = 265 and 139, respectively, mean(SD) ages =71(7) and 72(8) years, respectively]; Alzheimer’s disease [n = 103, mean(SD) age = 75(8)] and significant memory concern [n = 72, mean(SD) age = 72(6) years]. Baseline demographic and vascular risk-factor data, and longitudinal cognitive scores (Mini-Mental State Examination; logical memory; and Trails A and B) were collected. Whole-brain and hippocampal volume change metrics were calculated. White matter hyperintensity volumes were associated with greater whole-brain and hippocampal volume changes independently of cerebral microbleeds (a doubling of baseline white matter hyperintensity was associated with an increase in atrophy rate of 0.3 ml/year for brain and 0.013 ml/year for hippocampus). Cerebral microbleeds were found in 15% of individuals and the presence of a microbleed, as opposed to none, was associated with increases in atrophy rate of 1.4 ml/year for whole brain and 0.021 ml/year for hippocampus. White matter hyperintensities were predictive of greater decline in all neuropsychological scores, while cerebral microbleeds were predictive of decline in logical memory (immediate recall) and Mini-Mental State Examination scores. We identified distinct groups with specific sequences of biomarker abnormality using continuous baseline measures and brain volume change. Four clusters were found; Group 1 showed early Alzheimer’s pathology; Group 2 showed early neurodegeneration; Group 3 had early mixed Alzheimer’s and cerebrovascular pathology; Group 4 had early neuropsychological score abnormalities. White matter hyperintensity volumes becoming abnormal was a late event for Groups 1 and 4 and an early event for 2 and 3. In summary, white matter hyperintensities and microbleeds were independently associated with progressive neurodegeneration (brain atrophy rates) and cognitive decline (change in neuropsychological scores). Mechanisms involving white matter hyperintensities and progression and microbleeds and progression may be partially separate. Distinct sequences of biomarker progression were found. White matter hyperintensity development was an early event in two sequences. Oxford University Press 2021-10-07 /pmc/articles/PMC8514859/ /pubmed/34661106 http://dx.doi.org/10.1093/braincomms/fcab226 Text en © The Author(s) (2021). Published by Oxford University Press on behalf of the Guarantors of Brain. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Original Article Fiford, Cassidy M Sudre, Carole H Young, Alexandra L Macdougall, Amy Nicholas, Jennifer Manning, Emily N Malone, Ian B Walsh, Phoebe Goodkin, Olivia Pemberton, Hugh G Barkhof, Frederik Alexander, Daniel C Cardoso, M Jorge Biessels, Geert Jan Barnes, Josephine Presumed small vessel disease, imaging and cognition markers in the Alzheimer’s Disease Neuroimaging Initiative |
title | Presumed small vessel disease, imaging and cognition markers in the Alzheimer’s Disease Neuroimaging Initiative |
title_full | Presumed small vessel disease, imaging and cognition markers in the Alzheimer’s Disease Neuroimaging Initiative |
title_fullStr | Presumed small vessel disease, imaging and cognition markers in the Alzheimer’s Disease Neuroimaging Initiative |
title_full_unstemmed | Presumed small vessel disease, imaging and cognition markers in the Alzheimer’s Disease Neuroimaging Initiative |
title_short | Presumed small vessel disease, imaging and cognition markers in the Alzheimer’s Disease Neuroimaging Initiative |
title_sort | presumed small vessel disease, imaging and cognition markers in the alzheimer’s disease neuroimaging initiative |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8514859/ https://www.ncbi.nlm.nih.gov/pubmed/34661106 http://dx.doi.org/10.1093/braincomms/fcab226 |
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