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Longitudinal change-change associations of cognition with cortical thickness and surface area

Age-related changes in cortical volumes are well established but relatively few studies probed its constituents, surface area (SA) and thickness (TH). Here we analyzed 10-year, 3-waves longitudinal data from a large sample of healthy individuals (baseline age = 55–80). The findings showed marked age...

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Autores principales: Nyberg, Lars, Andersson, Micael, Lundquist, Anders
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10318300/
https://www.ncbi.nlm.nih.gov/pubmed/37408792
http://dx.doi.org/10.1016/j.nbas.2023.100070
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author Nyberg, Lars
Andersson, Micael
Lundquist, Anders
author_facet Nyberg, Lars
Andersson, Micael
Lundquist, Anders
author_sort Nyberg, Lars
collection PubMed
description Age-related changes in cortical volumes are well established but relatively few studies probed its constituents, surface area (SA) and thickness (TH). Here we analyzed 10-year, 3-waves longitudinal data from a large sample of healthy individuals (baseline age = 55–80). The findings showed marked age-related changes of SA in frontal, temporal, and parietal association cortices, and Bivariate Latent Change Score models revealed significant SA-associations with changes in speed of processing in both the 5- and 10-year models. The corresponding results for TH revealed a late onset of thinning and significant associations with reduced cognition in the 10-year model only. Taken together, our findings suggest that cortical surface area shrinks and impacts information-processing capacity gradually in aging, whereas cortical thinning only manifests and impacts fluid cognition in advanced aging.
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spelling pubmed-103183002023-07-05 Longitudinal change-change associations of cognition with cortical thickness and surface area Nyberg, Lars Andersson, Micael Lundquist, Anders Aging Brain Article Age-related changes in cortical volumes are well established but relatively few studies probed its constituents, surface area (SA) and thickness (TH). Here we analyzed 10-year, 3-waves longitudinal data from a large sample of healthy individuals (baseline age = 55–80). The findings showed marked age-related changes of SA in frontal, temporal, and parietal association cortices, and Bivariate Latent Change Score models revealed significant SA-associations with changes in speed of processing in both the 5- and 10-year models. The corresponding results for TH revealed a late onset of thinning and significant associations with reduced cognition in the 10-year model only. Taken together, our findings suggest that cortical surface area shrinks and impacts information-processing capacity gradually in aging, whereas cortical thinning only manifests and impacts fluid cognition in advanced aging. Elsevier 2023-02-28 /pmc/articles/PMC10318300/ /pubmed/37408792 http://dx.doi.org/10.1016/j.nbas.2023.100070 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Nyberg, Lars
Andersson, Micael
Lundquist, Anders
Longitudinal change-change associations of cognition with cortical thickness and surface area
title Longitudinal change-change associations of cognition with cortical thickness and surface area
title_full Longitudinal change-change associations of cognition with cortical thickness and surface area
title_fullStr Longitudinal change-change associations of cognition with cortical thickness and surface area
title_full_unstemmed Longitudinal change-change associations of cognition with cortical thickness and surface area
title_short Longitudinal change-change associations of cognition with cortical thickness and surface area
title_sort longitudinal change-change associations of cognition with cortical thickness and surface area
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10318300/
https://www.ncbi.nlm.nih.gov/pubmed/37408792
http://dx.doi.org/10.1016/j.nbas.2023.100070
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