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Age-related differences in functional brain network segregation are consistent with a cascade of cerebrovascular, structural, and cognitive effects

Age-related declines in cognition are associated with widespread structural and functional brain changes, including changes in resting-state functional connectivity and gray and white matter status. Recently we have shown that the elasticity of cerebral arteries also explains some of the variance in...

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Autores principales: Kong, Tania S., Gratton, Caterina, Low, Kathy A., Tan, Chin Hong, Chiarelli, Antonio M., Fletcher, Mark A., Zimmerman, Benjamin, Maclin, Edward L., Sutton, Bradley P., Gratton, Gabriele, Fabiani, Monica
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MIT Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7006874/
https://www.ncbi.nlm.nih.gov/pubmed/32043045
http://dx.doi.org/10.1162/netn_a_00110
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author Kong, Tania S.
Gratton, Caterina
Low, Kathy A.
Tan, Chin Hong
Chiarelli, Antonio M.
Fletcher, Mark A.
Zimmerman, Benjamin
Maclin, Edward L.
Sutton, Bradley P.
Gratton, Gabriele
Fabiani, Monica
author_facet Kong, Tania S.
Gratton, Caterina
Low, Kathy A.
Tan, Chin Hong
Chiarelli, Antonio M.
Fletcher, Mark A.
Zimmerman, Benjamin
Maclin, Edward L.
Sutton, Bradley P.
Gratton, Gabriele
Fabiani, Monica
author_sort Kong, Tania S.
collection PubMed
description Age-related declines in cognition are associated with widespread structural and functional brain changes, including changes in resting-state functional connectivity and gray and white matter status. Recently we have shown that the elasticity of cerebral arteries also explains some of the variance in cognitive and brain health in aging. Here, we investigated how network segregation, cerebral arterial elasticity (measured with pulse-DOT—the arterial pulse based on diffuse optical tomography) and gray and white matter status jointly account for age-related differences in cognitive performance. We hypothesized that at least some of the variance in brain and cognitive aging is linked to reduced cerebrovascular elasticity, leading to increased cortical atrophy and white matter abnormalities, which, in turn, are linked to reduced network segregation and decreases in cognitive performance. Pairwise comparisons between these variables are consistent with an exploratory hierarchical model linking them, especially when focusing on association network segregation (compared with segregation in sensorimotor networks). These findings suggest that preventing or slowing age-related changes in one or more of these factors may induce a neurophysiological cascade beneficial for preserving cognition in aging.
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spelling pubmed-70068742020-02-10 Age-related differences in functional brain network segregation are consistent with a cascade of cerebrovascular, structural, and cognitive effects Kong, Tania S. Gratton, Caterina Low, Kathy A. Tan, Chin Hong Chiarelli, Antonio M. Fletcher, Mark A. Zimmerman, Benjamin Maclin, Edward L. Sutton, Bradley P. Gratton, Gabriele Fabiani, Monica Netw Neurosci Research Articles Age-related declines in cognition are associated with widespread structural and functional brain changes, including changes in resting-state functional connectivity and gray and white matter status. Recently we have shown that the elasticity of cerebral arteries also explains some of the variance in cognitive and brain health in aging. Here, we investigated how network segregation, cerebral arterial elasticity (measured with pulse-DOT—the arterial pulse based on diffuse optical tomography) and gray and white matter status jointly account for age-related differences in cognitive performance. We hypothesized that at least some of the variance in brain and cognitive aging is linked to reduced cerebrovascular elasticity, leading to increased cortical atrophy and white matter abnormalities, which, in turn, are linked to reduced network segregation and decreases in cognitive performance. Pairwise comparisons between these variables are consistent with an exploratory hierarchical model linking them, especially when focusing on association network segregation (compared with segregation in sensorimotor networks). These findings suggest that preventing or slowing age-related changes in one or more of these factors may induce a neurophysiological cascade beneficial for preserving cognition in aging. MIT Press 2020-02-01 /pmc/articles/PMC7006874/ /pubmed/32043045 http://dx.doi.org/10.1162/netn_a_00110 Text en © 2019 Massachusetts Institute of Technology This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. For a full description of the license, please visit https://creativecommons.org/licenses/by/4.0/legalcode.
spellingShingle Research Articles
Kong, Tania S.
Gratton, Caterina
Low, Kathy A.
Tan, Chin Hong
Chiarelli, Antonio M.
Fletcher, Mark A.
Zimmerman, Benjamin
Maclin, Edward L.
Sutton, Bradley P.
Gratton, Gabriele
Fabiani, Monica
Age-related differences in functional brain network segregation are consistent with a cascade of cerebrovascular, structural, and cognitive effects
title Age-related differences in functional brain network segregation are consistent with a cascade of cerebrovascular, structural, and cognitive effects
title_full Age-related differences in functional brain network segregation are consistent with a cascade of cerebrovascular, structural, and cognitive effects
title_fullStr Age-related differences in functional brain network segregation are consistent with a cascade of cerebrovascular, structural, and cognitive effects
title_full_unstemmed Age-related differences in functional brain network segregation are consistent with a cascade of cerebrovascular, structural, and cognitive effects
title_short Age-related differences in functional brain network segregation are consistent with a cascade of cerebrovascular, structural, and cognitive effects
title_sort age-related differences in functional brain network segregation are consistent with a cascade of cerebrovascular, structural, and cognitive effects
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7006874/
https://www.ncbi.nlm.nih.gov/pubmed/32043045
http://dx.doi.org/10.1162/netn_a_00110
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