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Age differences in functional network reconfiguration with working memory training

Demanding cognitive functions like working memory (WM) depend on functional brain networks being able to communicate efficiently while also maintaining some degree of modularity. Evidence suggests that aging can disrupt this balance between integration and modularity. In this study, we examined how...

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Autores principales: Iordan, Alexandru D., Moored, Kyle D., Katz, Benjamin, Cooke, Katherine A., Buschkuehl, Martin, Jaeggi, Susanne M., Polk, Thad A., Peltier, Scott J., Jonides, John, Reuter‐Lorenz, Patricia A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7978135/
https://www.ncbi.nlm.nih.gov/pubmed/33534925
http://dx.doi.org/10.1002/hbm.25337
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author Iordan, Alexandru D.
Moored, Kyle D.
Katz, Benjamin
Cooke, Katherine A.
Buschkuehl, Martin
Jaeggi, Susanne M.
Polk, Thad A.
Peltier, Scott J.
Jonides, John
Reuter‐Lorenz, Patricia A.
author_facet Iordan, Alexandru D.
Moored, Kyle D.
Katz, Benjamin
Cooke, Katherine A.
Buschkuehl, Martin
Jaeggi, Susanne M.
Polk, Thad A.
Peltier, Scott J.
Jonides, John
Reuter‐Lorenz, Patricia A.
author_sort Iordan, Alexandru D.
collection PubMed
description Demanding cognitive functions like working memory (WM) depend on functional brain networks being able to communicate efficiently while also maintaining some degree of modularity. Evidence suggests that aging can disrupt this balance between integration and modularity. In this study, we examined how cognitive training affects the integration and modularity of functional networks in older and younger adults. Twenty three younger and 23 older adults participated in 10 days of verbal WM training, leading to performance gains in both age groups. Older adults exhibited lower modularity overall and a greater decrement when switching from rest to task, compared to younger adults. Interestingly, younger but not older adults showed increased task‐related modularity with training. Furthermore, whereas training increased efficiency within, and decreased participation of, the default‐mode network for younger adults, it enhanced efficiency within a task‐specific salience/sensorimotor network for older adults. Finally, training increased segregation of the default‐mode from frontoparietal/salience and visual networks in younger adults, while it diffusely increased between‐network connectivity in older adults. Thus, while younger adults increase network segregation with training, suggesting more automated processing, older adults persist in, and potentially amplify, a more integrated and costly global workspace, suggesting different age‐related trajectories in functional network reorganization with WM training.
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spelling pubmed-79781352021-03-23 Age differences in functional network reconfiguration with working memory training Iordan, Alexandru D. Moored, Kyle D. Katz, Benjamin Cooke, Katherine A. Buschkuehl, Martin Jaeggi, Susanne M. Polk, Thad A. Peltier, Scott J. Jonides, John Reuter‐Lorenz, Patricia A. Hum Brain Mapp Research Articles Demanding cognitive functions like working memory (WM) depend on functional brain networks being able to communicate efficiently while also maintaining some degree of modularity. Evidence suggests that aging can disrupt this balance between integration and modularity. In this study, we examined how cognitive training affects the integration and modularity of functional networks in older and younger adults. Twenty three younger and 23 older adults participated in 10 days of verbal WM training, leading to performance gains in both age groups. Older adults exhibited lower modularity overall and a greater decrement when switching from rest to task, compared to younger adults. Interestingly, younger but not older adults showed increased task‐related modularity with training. Furthermore, whereas training increased efficiency within, and decreased participation of, the default‐mode network for younger adults, it enhanced efficiency within a task‐specific salience/sensorimotor network for older adults. Finally, training increased segregation of the default‐mode from frontoparietal/salience and visual networks in younger adults, while it diffusely increased between‐network connectivity in older adults. Thus, while younger adults increase network segregation with training, suggesting more automated processing, older adults persist in, and potentially amplify, a more integrated and costly global workspace, suggesting different age‐related trajectories in functional network reorganization with WM training. John Wiley & Sons, Inc. 2021-02-03 /pmc/articles/PMC7978135/ /pubmed/33534925 http://dx.doi.org/10.1002/hbm.25337 Text en © 2020 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Iordan, Alexandru D.
Moored, Kyle D.
Katz, Benjamin
Cooke, Katherine A.
Buschkuehl, Martin
Jaeggi, Susanne M.
Polk, Thad A.
Peltier, Scott J.
Jonides, John
Reuter‐Lorenz, Patricia A.
Age differences in functional network reconfiguration with working memory training
title Age differences in functional network reconfiguration with working memory training
title_full Age differences in functional network reconfiguration with working memory training
title_fullStr Age differences in functional network reconfiguration with working memory training
title_full_unstemmed Age differences in functional network reconfiguration with working memory training
title_short Age differences in functional network reconfiguration with working memory training
title_sort age differences in functional network reconfiguration with working memory training
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7978135/
https://www.ncbi.nlm.nih.gov/pubmed/33534925
http://dx.doi.org/10.1002/hbm.25337
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