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Patterns of progressive atrophy vary with age in Alzheimer's disease patients

Age is not only the greatest risk factor for Alzheimer's disease (AD) but also a key modifier of disease presentation and progression. Here, we investigate how longitudinal atrophy patterns vary with age in mild cognitive impairment (MCI) and AD. Data comprised serial longitudinal 1.5-T magneti...

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Autores principales: Fiford, Cassidy M., Ridgway, Gerard R., Cash, David M., Modat, Marc, Nicholas, Jennifer, Manning, Emily N., Malone, Ian B., Biessels, Geert Jan, Ourselin, Sebastien, Carmichael, Owen T., Cardoso, M. Jorge, Barnes, Josephine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5805840/
https://www.ncbi.nlm.nih.gov/pubmed/29220823
http://dx.doi.org/10.1016/j.neurobiolaging.2017.11.002
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author Fiford, Cassidy M.
Ridgway, Gerard R.
Cash, David M.
Modat, Marc
Nicholas, Jennifer
Manning, Emily N.
Malone, Ian B.
Biessels, Geert Jan
Ourselin, Sebastien
Carmichael, Owen T.
Cardoso, M. Jorge
Barnes, Josephine
author_facet Fiford, Cassidy M.
Ridgway, Gerard R.
Cash, David M.
Modat, Marc
Nicholas, Jennifer
Manning, Emily N.
Malone, Ian B.
Biessels, Geert Jan
Ourselin, Sebastien
Carmichael, Owen T.
Cardoso, M. Jorge
Barnes, Josephine
author_sort Fiford, Cassidy M.
collection PubMed
description Age is not only the greatest risk factor for Alzheimer's disease (AD) but also a key modifier of disease presentation and progression. Here, we investigate how longitudinal atrophy patterns vary with age in mild cognitive impairment (MCI) and AD. Data comprised serial longitudinal 1.5-T magnetic resonance imaging scans from 153 AD, 339 MCI, and 191 control subjects. Voxel-wise maps of longitudinal volume change were obtained and aligned across subjects. Local volume change was then modeled in terms of diagnostic group and an interaction between group and age, adjusted for total intracranial volume, white-matter hyperintensity volume, and apolipoprotein E genotype. Results were significant at p < 0.05 with family-wise error correction for multiple comparisons. An age-by-group interaction revealed that younger AD patients had significantly faster atrophy rates in the bilateral precuneus, parietal, and superior temporal lobes. These results suggest younger AD patients have predominantly posterior progressive atrophy, unexplained by white-matter hyperintensity, apolipoprotein E, or total intracranial volume. Clinical trials may benefit from adapting outcome measures for patient groups with lower average ages, to capture progressive atrophy in posterior cortices.
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spelling pubmed-58058402018-03-01 Patterns of progressive atrophy vary with age in Alzheimer's disease patients Fiford, Cassidy M. Ridgway, Gerard R. Cash, David M. Modat, Marc Nicholas, Jennifer Manning, Emily N. Malone, Ian B. Biessels, Geert Jan Ourselin, Sebastien Carmichael, Owen T. Cardoso, M. Jorge Barnes, Josephine Neurobiol Aging Article Age is not only the greatest risk factor for Alzheimer's disease (AD) but also a key modifier of disease presentation and progression. Here, we investigate how longitudinal atrophy patterns vary with age in mild cognitive impairment (MCI) and AD. Data comprised serial longitudinal 1.5-T magnetic resonance imaging scans from 153 AD, 339 MCI, and 191 control subjects. Voxel-wise maps of longitudinal volume change were obtained and aligned across subjects. Local volume change was then modeled in terms of diagnostic group and an interaction between group and age, adjusted for total intracranial volume, white-matter hyperintensity volume, and apolipoprotein E genotype. Results were significant at p < 0.05 with family-wise error correction for multiple comparisons. An age-by-group interaction revealed that younger AD patients had significantly faster atrophy rates in the bilateral precuneus, parietal, and superior temporal lobes. These results suggest younger AD patients have predominantly posterior progressive atrophy, unexplained by white-matter hyperintensity, apolipoprotein E, or total intracranial volume. Clinical trials may benefit from adapting outcome measures for patient groups with lower average ages, to capture progressive atrophy in posterior cortices. Elsevier 2018-03 /pmc/articles/PMC5805840/ /pubmed/29220823 http://dx.doi.org/10.1016/j.neurobiolaging.2017.11.002 Text en © 2017 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Fiford, Cassidy M.
Ridgway, Gerard R.
Cash, David M.
Modat, Marc
Nicholas, Jennifer
Manning, Emily N.
Malone, Ian B.
Biessels, Geert Jan
Ourselin, Sebastien
Carmichael, Owen T.
Cardoso, M. Jorge
Barnes, Josephine
Patterns of progressive atrophy vary with age in Alzheimer's disease patients
title Patterns of progressive atrophy vary with age in Alzheimer's disease patients
title_full Patterns of progressive atrophy vary with age in Alzheimer's disease patients
title_fullStr Patterns of progressive atrophy vary with age in Alzheimer's disease patients
title_full_unstemmed Patterns of progressive atrophy vary with age in Alzheimer's disease patients
title_short Patterns of progressive atrophy vary with age in Alzheimer's disease patients
title_sort patterns of progressive atrophy vary with age in alzheimer's disease patients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5805840/
https://www.ncbi.nlm.nih.gov/pubmed/29220823
http://dx.doi.org/10.1016/j.neurobiolaging.2017.11.002
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