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White Matter Integrity Supports BOLD Signal Variability and Cognitive Performance in the Aging Human Brain

Decline in cognitive performance in old age is linked to both suboptimal neural processing in grey matter (GM) and reduced integrity of white matter (WM), but the whole-brain structure-function-cognition associations remain poorly understood. Here we apply a novel measure of GM processing–moment-to-...

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Autores principales: Burzynska, Agnieszka Z., Wong, Chelsea N., Voss, Michelle W., Cooke, Gillian E., McAuley, Edward, Kramer, Arthur F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4390282/
https://www.ncbi.nlm.nih.gov/pubmed/25853882
http://dx.doi.org/10.1371/journal.pone.0120315
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author Burzynska, Agnieszka Z.
Wong, Chelsea N.
Voss, Michelle W.
Cooke, Gillian E.
McAuley, Edward
Kramer, Arthur F.
author_facet Burzynska, Agnieszka Z.
Wong, Chelsea N.
Voss, Michelle W.
Cooke, Gillian E.
McAuley, Edward
Kramer, Arthur F.
author_sort Burzynska, Agnieszka Z.
collection PubMed
description Decline in cognitive performance in old age is linked to both suboptimal neural processing in grey matter (GM) and reduced integrity of white matter (WM), but the whole-brain structure-function-cognition associations remain poorly understood. Here we apply a novel measure of GM processing–moment-to-moment variability in the blood oxygenation level-dependent signal (SD(BOLD))—to study the associations between GM function during resting state, performance on four main cognitive domains (i.e., fluid intelligence, perceptual speed, episodic memory, vocabulary), and WM microstructural integrity in 91 healthy older adults (aged 60-80 years). We modeled the relations between whole-GM SD(BOLD) with cognitive performance using multivariate partial least squares analysis. We found that greater SD(BOLD) was associated with better fluid abilities and memory. Most of regions showing behaviorally relevant SD(BOLD) (e.g., precuneus and insula) were localized to inter- or intra-network “hubs” that connect and integrate segregated functional domains in the brain. Our results suggest that optimal dynamic range of neural processing in hub regions may support cognitive operations that specifically rely on the most flexible neural processing and complex cross-talk between different brain networks. Finally, we demonstrated that older adults with greater WM integrity in all major WM tracts had also greater SD(BOLD) and better performance on tests of memory and fluid abilities. We conclude that SD(BOLD) is a promising functional neural correlate of individual differences in cognition in healthy older adults and is supported by overall WM integrity.
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spelling pubmed-43902822015-04-21 White Matter Integrity Supports BOLD Signal Variability and Cognitive Performance in the Aging Human Brain Burzynska, Agnieszka Z. Wong, Chelsea N. Voss, Michelle W. Cooke, Gillian E. McAuley, Edward Kramer, Arthur F. PLoS One Research Article Decline in cognitive performance in old age is linked to both suboptimal neural processing in grey matter (GM) and reduced integrity of white matter (WM), but the whole-brain structure-function-cognition associations remain poorly understood. Here we apply a novel measure of GM processing–moment-to-moment variability in the blood oxygenation level-dependent signal (SD(BOLD))—to study the associations between GM function during resting state, performance on four main cognitive domains (i.e., fluid intelligence, perceptual speed, episodic memory, vocabulary), and WM microstructural integrity in 91 healthy older adults (aged 60-80 years). We modeled the relations between whole-GM SD(BOLD) with cognitive performance using multivariate partial least squares analysis. We found that greater SD(BOLD) was associated with better fluid abilities and memory. Most of regions showing behaviorally relevant SD(BOLD) (e.g., precuneus and insula) were localized to inter- or intra-network “hubs” that connect and integrate segregated functional domains in the brain. Our results suggest that optimal dynamic range of neural processing in hub regions may support cognitive operations that specifically rely on the most flexible neural processing and complex cross-talk between different brain networks. Finally, we demonstrated that older adults with greater WM integrity in all major WM tracts had also greater SD(BOLD) and better performance on tests of memory and fluid abilities. We conclude that SD(BOLD) is a promising functional neural correlate of individual differences in cognition in healthy older adults and is supported by overall WM integrity. Public Library of Science 2015-04-08 /pmc/articles/PMC4390282/ /pubmed/25853882 http://dx.doi.org/10.1371/journal.pone.0120315 Text en © 2015 Burzynska et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Burzynska, Agnieszka Z.
Wong, Chelsea N.
Voss, Michelle W.
Cooke, Gillian E.
McAuley, Edward
Kramer, Arthur F.
White Matter Integrity Supports BOLD Signal Variability and Cognitive Performance in the Aging Human Brain
title White Matter Integrity Supports BOLD Signal Variability and Cognitive Performance in the Aging Human Brain
title_full White Matter Integrity Supports BOLD Signal Variability and Cognitive Performance in the Aging Human Brain
title_fullStr White Matter Integrity Supports BOLD Signal Variability and Cognitive Performance in the Aging Human Brain
title_full_unstemmed White Matter Integrity Supports BOLD Signal Variability and Cognitive Performance in the Aging Human Brain
title_short White Matter Integrity Supports BOLD Signal Variability and Cognitive Performance in the Aging Human Brain
title_sort white matter integrity supports bold signal variability and cognitive performance in the aging human brain
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4390282/
https://www.ncbi.nlm.nih.gov/pubmed/25853882
http://dx.doi.org/10.1371/journal.pone.0120315
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