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Brain Network Modularity Predicts Exercise-Related Executive Function Gains in Older Adults

Recent work suggests that the brain can be conceptualized as a network comprised of groups of sub-networks or modules. The extent of segregation between modules can be quantified with a modularity metric, where networks with high modularity have dense connections within modules and sparser connectio...

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Autores principales: Baniqued, Pauline L., Gallen, Courtney L., Voss, Michelle W., Burzynska, Agnieszka Z., Wong, Chelsea N., Cooke, Gillian E., Duffy, Kristin, Fanning, Jason, Ehlers, Diane K., Salerno, Elizabeth A., Aguiñaga, Susan, McAuley, Edward, Kramer, Arthur F., D'Esposito, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5758542/
https://www.ncbi.nlm.nih.gov/pubmed/29354050
http://dx.doi.org/10.3389/fnagi.2017.00426
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author Baniqued, Pauline L.
Gallen, Courtney L.
Voss, Michelle W.
Burzynska, Agnieszka Z.
Wong, Chelsea N.
Cooke, Gillian E.
Duffy, Kristin
Fanning, Jason
Ehlers, Diane K.
Salerno, Elizabeth A.
Aguiñaga, Susan
McAuley, Edward
Kramer, Arthur F.
D'Esposito, Mark
author_facet Baniqued, Pauline L.
Gallen, Courtney L.
Voss, Michelle W.
Burzynska, Agnieszka Z.
Wong, Chelsea N.
Cooke, Gillian E.
Duffy, Kristin
Fanning, Jason
Ehlers, Diane K.
Salerno, Elizabeth A.
Aguiñaga, Susan
McAuley, Edward
Kramer, Arthur F.
D'Esposito, Mark
author_sort Baniqued, Pauline L.
collection PubMed
description Recent work suggests that the brain can be conceptualized as a network comprised of groups of sub-networks or modules. The extent of segregation between modules can be quantified with a modularity metric, where networks with high modularity have dense connections within modules and sparser connections between modules. Previous work has shown that higher modularity predicts greater improvements after cognitive training in patients with traumatic brain injury and in healthy older and young adults. It is not known, however, whether modularity can also predict cognitive gains after a physical exercise intervention. Here, we quantified modularity in older adults (N = 128, mean age = 64.74) who underwent one of the following interventions for 6 months (NCT01472744 on ClinicalTrials.gov): (1) aerobic exercise in the form of brisk walking (Walk), (2) aerobic exercise in the form of brisk walking plus nutritional supplement (Walk+), (3) stretching, strengthening and stability (SSS), or (4) dance instruction. After the intervention, the Walk, Walk+ and SSS groups showed gains in cardiorespiratory fitness (CRF), with larger effects in both walking groups compared to the SSS and Dance groups. The Walk, Walk+ and SSS groups also improved in executive function (EF) as measured by reasoning, working memory, and task-switching tests. In the Walk, Walk+, and SSS groups that improved in EF, higher baseline modularity was positively related to EF gains, even after controlling for age, in-scanner motion and baseline EF. No relationship between modularity and EF gains was observed in the Dance group, which did not show training-related gains in CRF or EF control. These results are consistent with previous studies demonstrating that individuals with a more modular brain network organization are more responsive to cognitive training. These findings suggest that the predictive power of modularity may be generalizable across interventions aimed to enhance aspects of cognition and that, especially in low-performing individuals, global network properties can capture individual differences in neuroplasticity.
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spelling pubmed-57585422018-01-19 Brain Network Modularity Predicts Exercise-Related Executive Function Gains in Older Adults Baniqued, Pauline L. Gallen, Courtney L. Voss, Michelle W. Burzynska, Agnieszka Z. Wong, Chelsea N. Cooke, Gillian E. Duffy, Kristin Fanning, Jason Ehlers, Diane K. Salerno, Elizabeth A. Aguiñaga, Susan McAuley, Edward Kramer, Arthur F. D'Esposito, Mark Front Aging Neurosci Neuroscience Recent work suggests that the brain can be conceptualized as a network comprised of groups of sub-networks or modules. The extent of segregation between modules can be quantified with a modularity metric, where networks with high modularity have dense connections within modules and sparser connections between modules. Previous work has shown that higher modularity predicts greater improvements after cognitive training in patients with traumatic brain injury and in healthy older and young adults. It is not known, however, whether modularity can also predict cognitive gains after a physical exercise intervention. Here, we quantified modularity in older adults (N = 128, mean age = 64.74) who underwent one of the following interventions for 6 months (NCT01472744 on ClinicalTrials.gov): (1) aerobic exercise in the form of brisk walking (Walk), (2) aerobic exercise in the form of brisk walking plus nutritional supplement (Walk+), (3) stretching, strengthening and stability (SSS), or (4) dance instruction. After the intervention, the Walk, Walk+ and SSS groups showed gains in cardiorespiratory fitness (CRF), with larger effects in both walking groups compared to the SSS and Dance groups. The Walk, Walk+ and SSS groups also improved in executive function (EF) as measured by reasoning, working memory, and task-switching tests. In the Walk, Walk+, and SSS groups that improved in EF, higher baseline modularity was positively related to EF gains, even after controlling for age, in-scanner motion and baseline EF. No relationship between modularity and EF gains was observed in the Dance group, which did not show training-related gains in CRF or EF control. These results are consistent with previous studies demonstrating that individuals with a more modular brain network organization are more responsive to cognitive training. These findings suggest that the predictive power of modularity may be generalizable across interventions aimed to enhance aspects of cognition and that, especially in low-performing individuals, global network properties can capture individual differences in neuroplasticity. Frontiers Media S.A. 2018-01-04 /pmc/articles/PMC5758542/ /pubmed/29354050 http://dx.doi.org/10.3389/fnagi.2017.00426 Text en Copyright © 2018 Baniqued, Gallen, Voss, Burzynska, Wong, Cooke, Duffy, Fanning, Ehlers, Salerno, Aguiñaga, McAuley, Kramer and D'Esposito. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Baniqued, Pauline L.
Gallen, Courtney L.
Voss, Michelle W.
Burzynska, Agnieszka Z.
Wong, Chelsea N.
Cooke, Gillian E.
Duffy, Kristin
Fanning, Jason
Ehlers, Diane K.
Salerno, Elizabeth A.
Aguiñaga, Susan
McAuley, Edward
Kramer, Arthur F.
D'Esposito, Mark
Brain Network Modularity Predicts Exercise-Related Executive Function Gains in Older Adults
title Brain Network Modularity Predicts Exercise-Related Executive Function Gains in Older Adults
title_full Brain Network Modularity Predicts Exercise-Related Executive Function Gains in Older Adults
title_fullStr Brain Network Modularity Predicts Exercise-Related Executive Function Gains in Older Adults
title_full_unstemmed Brain Network Modularity Predicts Exercise-Related Executive Function Gains in Older Adults
title_short Brain Network Modularity Predicts Exercise-Related Executive Function Gains in Older Adults
title_sort brain network modularity predicts exercise-related executive function gains in older adults
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5758542/
https://www.ncbi.nlm.nih.gov/pubmed/29354050
http://dx.doi.org/10.3389/fnagi.2017.00426
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