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Activity and Connectivity Differences Underlying Inhibitory Control Across the Adult Life Span
Inhibitory control requires precise regulation of activity and connectivity within multiple brain networks. Previous studies have typically evaluated age-related changes in regional activity or changes in interregional interactions. Instead, we test the hypothesis that activity and connectivity make...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society for Neuroscience
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6125816/ https://www.ncbi.nlm.nih.gov/pubmed/30049889 http://dx.doi.org/10.1523/JNEUROSCI.2919-17.2018 |
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author | Tsvetanov, Kamen A. Ye, Zheng Hughes, Laura Samu, David Treder, Matthias S. Wolpe, Noham Tyler, Lorraine K. Rowe, James B. |
author_facet | Tsvetanov, Kamen A. Ye, Zheng Hughes, Laura Samu, David Treder, Matthias S. Wolpe, Noham Tyler, Lorraine K. Rowe, James B. |
author_sort | Tsvetanov, Kamen A. |
collection | PubMed |
description | Inhibitory control requires precise regulation of activity and connectivity within multiple brain networks. Previous studies have typically evaluated age-related changes in regional activity or changes in interregional interactions. Instead, we test the hypothesis that activity and connectivity make distinct, complementary contributions to performance across the life span and the maintenance of successful inhibitory control systems. A representative sample of healthy human adults in a large, population-based life span cohort performed an integrated Stop-Signal (SS)/No-Go task during functional magnetic resonance imaging (n = 119; age range, 18–88 years). Individual differences in inhibitory control were measured in terms of the SS reaction time (SSRT), using the blocked integration method. Linear models and independent components analysis revealed that individual differences in SSRT correlated with both activity and connectivity in a distributed inhibition network, comprising prefrontal, premotor, and motor regions. Importantly, this pattern was moderated by age, such that the association between inhibitory control and connectivity, but not activity, differed with age. Multivariate statistics and out-of-sample validation tests of multifactorial functional organization identified differential roles of activity and connectivity in determining an individual's SSRT across the life span. We propose that age-related differences in adaptive cognitive control are best characterized by the joint consideration of multifocal activity and connectivity within distributed brain networks. These insights may facilitate the development of new strategies to support cognitive ability in old age. SIGNIFICANCE STATEMENT The preservation of cognitive and motor control is crucial for maintaining well being across the life span. We show that such control is determined by both activity and connectivity within distributed brain networks. In a large, population-based cohort, we used a novel whole-brain multivariate approach to estimate the functional components of inhibitory control, in terms of their activity and connectivity. Both activity and connectivity in the inhibition network changed with age. But only the association between performance and connectivity, not activity, differed with age. The results suggest that adaptive control is best characterized by the joint consideration of multifocal activity and connectivity. These insights may facilitate the development of new strategies to maintain cognitive ability across the life span in health and disease. |
format | Online Article Text |
id | pubmed-6125816 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Society for Neuroscience |
record_format | MEDLINE/PubMed |
spelling | pubmed-61258162018-09-11 Activity and Connectivity Differences Underlying Inhibitory Control Across the Adult Life Span Tsvetanov, Kamen A. Ye, Zheng Hughes, Laura Samu, David Treder, Matthias S. Wolpe, Noham Tyler, Lorraine K. Rowe, James B. J Neurosci Research Articles Inhibitory control requires precise regulation of activity and connectivity within multiple brain networks. Previous studies have typically evaluated age-related changes in regional activity or changes in interregional interactions. Instead, we test the hypothesis that activity and connectivity make distinct, complementary contributions to performance across the life span and the maintenance of successful inhibitory control systems. A representative sample of healthy human adults in a large, population-based life span cohort performed an integrated Stop-Signal (SS)/No-Go task during functional magnetic resonance imaging (n = 119; age range, 18–88 years). Individual differences in inhibitory control were measured in terms of the SS reaction time (SSRT), using the blocked integration method. Linear models and independent components analysis revealed that individual differences in SSRT correlated with both activity and connectivity in a distributed inhibition network, comprising prefrontal, premotor, and motor regions. Importantly, this pattern was moderated by age, such that the association between inhibitory control and connectivity, but not activity, differed with age. Multivariate statistics and out-of-sample validation tests of multifactorial functional organization identified differential roles of activity and connectivity in determining an individual's SSRT across the life span. We propose that age-related differences in adaptive cognitive control are best characterized by the joint consideration of multifocal activity and connectivity within distributed brain networks. These insights may facilitate the development of new strategies to support cognitive ability in old age. SIGNIFICANCE STATEMENT The preservation of cognitive and motor control is crucial for maintaining well being across the life span. We show that such control is determined by both activity and connectivity within distributed brain networks. In a large, population-based cohort, we used a novel whole-brain multivariate approach to estimate the functional components of inhibitory control, in terms of their activity and connectivity. Both activity and connectivity in the inhibition network changed with age. But only the association between performance and connectivity, not activity, differed with age. The results suggest that adaptive control is best characterized by the joint consideration of multifocal activity and connectivity. These insights may facilitate the development of new strategies to maintain cognitive ability across the life span in health and disease. Society for Neuroscience 2018-09-05 /pmc/articles/PMC6125816/ /pubmed/30049889 http://dx.doi.org/10.1523/JNEUROSCI.2919-17.2018 Text en Copyright © 2018 Tsvetanov et al. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed. |
spellingShingle | Research Articles Tsvetanov, Kamen A. Ye, Zheng Hughes, Laura Samu, David Treder, Matthias S. Wolpe, Noham Tyler, Lorraine K. Rowe, James B. Activity and Connectivity Differences Underlying Inhibitory Control Across the Adult Life Span |
title | Activity and Connectivity Differences Underlying Inhibitory Control Across the Adult Life Span |
title_full | Activity and Connectivity Differences Underlying Inhibitory Control Across the Adult Life Span |
title_fullStr | Activity and Connectivity Differences Underlying Inhibitory Control Across the Adult Life Span |
title_full_unstemmed | Activity and Connectivity Differences Underlying Inhibitory Control Across the Adult Life Span |
title_short | Activity and Connectivity Differences Underlying Inhibitory Control Across the Adult Life Span |
title_sort | activity and connectivity differences underlying inhibitory control across the adult life span |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6125816/ https://www.ncbi.nlm.nih.gov/pubmed/30049889 http://dx.doi.org/10.1523/JNEUROSCI.2919-17.2018 |
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