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Inter- and intra-individual variation in brain structural-cognition relationships in aging

The sources of inter- and intra-individual variability in age-related cognitive decline remain poorly understood. We examined the association between 20-year trajectories of cognitive decline and multimodal brain structure and morphology in older age. We used the Whitehall II Study, an extensively c...

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Autores principales: Patel, Raihaan, Mackay, Clare E., Jansen, Michelle G., Devenyi, Gabriel A., O’Donoghue, M. Clare, Kivimäki, Mika, Singh-Manoux, Archana, Zsoldos, Enikő, Ebmeier, Klaus P., Chakravarty, M. Mallar, Suri, Sana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9393406/
https://www.ncbi.nlm.nih.gov/pubmed/35490915
http://dx.doi.org/10.1016/j.neuroimage.2022.119254
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author Patel, Raihaan
Mackay, Clare E.
Jansen, Michelle G.
Devenyi, Gabriel A.
O’Donoghue, M. Clare
Kivimäki, Mika
Singh-Manoux, Archana
Zsoldos, Enikő
Ebmeier, Klaus P.
Chakravarty, M. Mallar
Suri, Sana
author_facet Patel, Raihaan
Mackay, Clare E.
Jansen, Michelle G.
Devenyi, Gabriel A.
O’Donoghue, M. Clare
Kivimäki, Mika
Singh-Manoux, Archana
Zsoldos, Enikő
Ebmeier, Klaus P.
Chakravarty, M. Mallar
Suri, Sana
author_sort Patel, Raihaan
collection PubMed
description The sources of inter- and intra-individual variability in age-related cognitive decline remain poorly understood. We examined the association between 20-year trajectories of cognitive decline and multimodal brain structure and morphology in older age. We used the Whitehall II Study, an extensively characterised cohort with 3T brain magnetic resonance images acquired at older age (mean age = 69.52 ± 4.9) and 5 repeated cognitive performance assessments between mid-life (mean age = 53.2 ± 4.9 years) and late-life (mean age = 67.7 ± 4.9). Using non-negative matrix factorization, we identified 10 brain components integrating cortical thickness, surface area, fractional anisotropy, and mean and radial diffusivities. We observed two latent variables describing distinct brain-cognition associations. The first describes variations in 5 structural components associated with low mid-life performance across multiple cognitive domains, decline in reasoning, but maintenance of fluency abilities. The second describes variations in 6 structural components associated with low mid-life performance in fluency and memory, but retention of multiple abilities. Expression of latent variables predicts future cognition 3.2 years later (mean age = 70.87 ± 4.9). This data-driven approach highlights brain-cognition relationships wherein individuals degrees of cognitive decline and maintenance across diverse cognitive functions are both positively and negatively associated with markers of cortical structure.
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spelling pubmed-93934062022-08-22 Inter- and intra-individual variation in brain structural-cognition relationships in aging Patel, Raihaan Mackay, Clare E. Jansen, Michelle G. Devenyi, Gabriel A. O’Donoghue, M. Clare Kivimäki, Mika Singh-Manoux, Archana Zsoldos, Enikő Ebmeier, Klaus P. Chakravarty, M. Mallar Suri, Sana Neuroimage Article The sources of inter- and intra-individual variability in age-related cognitive decline remain poorly understood. We examined the association between 20-year trajectories of cognitive decline and multimodal brain structure and morphology in older age. We used the Whitehall II Study, an extensively characterised cohort with 3T brain magnetic resonance images acquired at older age (mean age = 69.52 ± 4.9) and 5 repeated cognitive performance assessments between mid-life (mean age = 53.2 ± 4.9 years) and late-life (mean age = 67.7 ± 4.9). Using non-negative matrix factorization, we identified 10 brain components integrating cortical thickness, surface area, fractional anisotropy, and mean and radial diffusivities. We observed two latent variables describing distinct brain-cognition associations. The first describes variations in 5 structural components associated with low mid-life performance across multiple cognitive domains, decline in reasoning, but maintenance of fluency abilities. The second describes variations in 6 structural components associated with low mid-life performance in fluency and memory, but retention of multiple abilities. Expression of latent variables predicts future cognition 3.2 years later (mean age = 70.87 ± 4.9). This data-driven approach highlights brain-cognition relationships wherein individuals degrees of cognitive decline and maintenance across diverse cognitive functions are both positively and negatively associated with markers of cortical structure. 2022-08-15 2022-04-28 /pmc/articles/PMC9393406/ /pubmed/35490915 http://dx.doi.org/10.1016/j.neuroimage.2022.119254 Text en https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) )
spellingShingle Article
Patel, Raihaan
Mackay, Clare E.
Jansen, Michelle G.
Devenyi, Gabriel A.
O’Donoghue, M. Clare
Kivimäki, Mika
Singh-Manoux, Archana
Zsoldos, Enikő
Ebmeier, Klaus P.
Chakravarty, M. Mallar
Suri, Sana
Inter- and intra-individual variation in brain structural-cognition relationships in aging
title Inter- and intra-individual variation in brain structural-cognition relationships in aging
title_full Inter- and intra-individual variation in brain structural-cognition relationships in aging
title_fullStr Inter- and intra-individual variation in brain structural-cognition relationships in aging
title_full_unstemmed Inter- and intra-individual variation in brain structural-cognition relationships in aging
title_short Inter- and intra-individual variation in brain structural-cognition relationships in aging
title_sort inter- and intra-individual variation in brain structural-cognition relationships in aging
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9393406/
https://www.ncbi.nlm.nih.gov/pubmed/35490915
http://dx.doi.org/10.1016/j.neuroimage.2022.119254
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