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Effects of Cognitive Training on Resting-State Functional Connectivity of Default Mode, Salience, and Central Executive Networks

Neuroimaging studies have documented that aging can disrupt certain higher cognitive systems such as the default mode network (DMN), the salience network and the central executive network (CEN). The effect of cognitive training on higher cognitive systems remains unclear. This study used a 1-year lo...

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Autores principales: Cao, Weifang, Cao, Xinyi, Hou, Changyue, Li, Ting, Cheng, Yan, Jiang, Lijuan, Luo, Cheng, Li, Chunbo, Yao, Dezhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4828428/
https://www.ncbi.nlm.nih.gov/pubmed/27148042
http://dx.doi.org/10.3389/fnagi.2016.00070
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author Cao, Weifang
Cao, Xinyi
Hou, Changyue
Li, Ting
Cheng, Yan
Jiang, Lijuan
Luo, Cheng
Li, Chunbo
Yao, Dezhong
author_facet Cao, Weifang
Cao, Xinyi
Hou, Changyue
Li, Ting
Cheng, Yan
Jiang, Lijuan
Luo, Cheng
Li, Chunbo
Yao, Dezhong
author_sort Cao, Weifang
collection PubMed
description Neuroimaging studies have documented that aging can disrupt certain higher cognitive systems such as the default mode network (DMN), the salience network and the central executive network (CEN). The effect of cognitive training on higher cognitive systems remains unclear. This study used a 1-year longitudinal design to explore the cognitive training effect on three higher cognitive networks in healthy older adults. The community-living healthy older adults were divided into two groups: the multi-domain cognitive training group (24 sessions of cognitive training over a 3-months period) and the wait-list control group. All subjects underwent cognitive measurements and resting-state functional magnetic resonance imaging scanning at baseline and at 1 year after the training ended. We examined training-related changes in functional connectivity (FC) within and between three networks. Compared with the baseline, we observed maintained or increased FC within all three networks after training. The scans after training also showed maintained anti-correlation of FC between the DMN and CEN compared to the baseline. These findings demonstrated that cognitive training maintained or improved the functional integration within networks and the coupling between the DMN and CEN in older adults. Our findings suggested that multi-domain cognitive training can mitigate the aging-related dysfunction of higher cognitive networks.
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spelling pubmed-48284282016-05-04 Effects of Cognitive Training on Resting-State Functional Connectivity of Default Mode, Salience, and Central Executive Networks Cao, Weifang Cao, Xinyi Hou, Changyue Li, Ting Cheng, Yan Jiang, Lijuan Luo, Cheng Li, Chunbo Yao, Dezhong Front Aging Neurosci Neuroscience Neuroimaging studies have documented that aging can disrupt certain higher cognitive systems such as the default mode network (DMN), the salience network and the central executive network (CEN). The effect of cognitive training on higher cognitive systems remains unclear. This study used a 1-year longitudinal design to explore the cognitive training effect on three higher cognitive networks in healthy older adults. The community-living healthy older adults were divided into two groups: the multi-domain cognitive training group (24 sessions of cognitive training over a 3-months period) and the wait-list control group. All subjects underwent cognitive measurements and resting-state functional magnetic resonance imaging scanning at baseline and at 1 year after the training ended. We examined training-related changes in functional connectivity (FC) within and between three networks. Compared with the baseline, we observed maintained or increased FC within all three networks after training. The scans after training also showed maintained anti-correlation of FC between the DMN and CEN compared to the baseline. These findings demonstrated that cognitive training maintained or improved the functional integration within networks and the coupling between the DMN and CEN in older adults. Our findings suggested that multi-domain cognitive training can mitigate the aging-related dysfunction of higher cognitive networks. Frontiers Media S.A. 2016-04-12 /pmc/articles/PMC4828428/ /pubmed/27148042 http://dx.doi.org/10.3389/fnagi.2016.00070 Text en Copyright © 2016 Cao, Cao, Hou, Li, Cheng, Jiang, Luo, Li and Yao. 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
Cao, Weifang
Cao, Xinyi
Hou, Changyue
Li, Ting
Cheng, Yan
Jiang, Lijuan
Luo, Cheng
Li, Chunbo
Yao, Dezhong
Effects of Cognitive Training on Resting-State Functional Connectivity of Default Mode, Salience, and Central Executive Networks
title Effects of Cognitive Training on Resting-State Functional Connectivity of Default Mode, Salience, and Central Executive Networks
title_full Effects of Cognitive Training on Resting-State Functional Connectivity of Default Mode, Salience, and Central Executive Networks
title_fullStr Effects of Cognitive Training on Resting-State Functional Connectivity of Default Mode, Salience, and Central Executive Networks
title_full_unstemmed Effects of Cognitive Training on Resting-State Functional Connectivity of Default Mode, Salience, and Central Executive Networks
title_short Effects of Cognitive Training on Resting-State Functional Connectivity of Default Mode, Salience, and Central Executive Networks
title_sort effects of cognitive training on resting-state functional connectivity of default mode, salience, and central executive networks
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4828428/
https://www.ncbi.nlm.nih.gov/pubmed/27148042
http://dx.doi.org/10.3389/fnagi.2016.00070
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