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The modulatory effect of adaptive task-switching training on resting-state neural network dynamics in younger and older adults

With increasing life expectancy and active aging, it becomes crucial to investigate methods which could compensate for generally detected cognitive aging processes. A promising candidate is adaptive cognitive training, during which task difficulty is adjusted to the participants’ performance level t...

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Autores principales: Nagy, Boglárka, Protzner, Andrea B., van der Wijk, Gwen, Wang, Hongye, Cortese, Filomeno, Czigler, István, Gaál, Zsófia Anna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9184743/
https://www.ncbi.nlm.nih.gov/pubmed/35680953
http://dx.doi.org/10.1038/s41598-022-13708-x
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author Nagy, Boglárka
Protzner, Andrea B.
van der Wijk, Gwen
Wang, Hongye
Cortese, Filomeno
Czigler, István
Gaál, Zsófia Anna
author_facet Nagy, Boglárka
Protzner, Andrea B.
van der Wijk, Gwen
Wang, Hongye
Cortese, Filomeno
Czigler, István
Gaál, Zsófia Anna
author_sort Nagy, Boglárka
collection PubMed
description With increasing life expectancy and active aging, it becomes crucial to investigate methods which could compensate for generally detected cognitive aging processes. A promising candidate is adaptive cognitive training, during which task difficulty is adjusted to the participants’ performance level to enhance the training and potential transfer effects. Measuring intrinsic brain activity is suitable for detecting possible distributed training-effects since resting-state dynamics are linked to the brain’s functional flexibility and the effectiveness of different cognitive processes. Therefore, we investigated if adaptive task-switching training could modulate resting-state neural dynamics in younger (18–25 years) and older (60–75 years) adults (79 people altogether). We examined spectral power density on resting-state EEG data for measuring oscillatory activity, and multiscale entropy for detecting intrinsic neural complexity. Decreased coarse timescale entropy and lower frequency band power as well as increased fine timescale entropy and higher frequency band power revealed a shift from more global to local information processing with aging before training. However, cognitive training modulated these age-group differences, as coarse timescale entropy and lower frequency band power increased from pre- to post-training in the old-training group. Overall, our results suggest that cognitive training can modulate neural dynamics even when measured outside of the trained task.
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spelling pubmed-91847432022-06-11 The modulatory effect of adaptive task-switching training on resting-state neural network dynamics in younger and older adults Nagy, Boglárka Protzner, Andrea B. van der Wijk, Gwen Wang, Hongye Cortese, Filomeno Czigler, István Gaál, Zsófia Anna Sci Rep Article With increasing life expectancy and active aging, it becomes crucial to investigate methods which could compensate for generally detected cognitive aging processes. A promising candidate is adaptive cognitive training, during which task difficulty is adjusted to the participants’ performance level to enhance the training and potential transfer effects. Measuring intrinsic brain activity is suitable for detecting possible distributed training-effects since resting-state dynamics are linked to the brain’s functional flexibility and the effectiveness of different cognitive processes. Therefore, we investigated if adaptive task-switching training could modulate resting-state neural dynamics in younger (18–25 years) and older (60–75 years) adults (79 people altogether). We examined spectral power density on resting-state EEG data for measuring oscillatory activity, and multiscale entropy for detecting intrinsic neural complexity. Decreased coarse timescale entropy and lower frequency band power as well as increased fine timescale entropy and higher frequency band power revealed a shift from more global to local information processing with aging before training. However, cognitive training modulated these age-group differences, as coarse timescale entropy and lower frequency band power increased from pre- to post-training in the old-training group. Overall, our results suggest that cognitive training can modulate neural dynamics even when measured outside of the trained task. Nature Publishing Group UK 2022-06-09 /pmc/articles/PMC9184743/ /pubmed/35680953 http://dx.doi.org/10.1038/s41598-022-13708-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Nagy, Boglárka
Protzner, Andrea B.
van der Wijk, Gwen
Wang, Hongye
Cortese, Filomeno
Czigler, István
Gaál, Zsófia Anna
The modulatory effect of adaptive task-switching training on resting-state neural network dynamics in younger and older adults
title The modulatory effect of adaptive task-switching training on resting-state neural network dynamics in younger and older adults
title_full The modulatory effect of adaptive task-switching training on resting-state neural network dynamics in younger and older adults
title_fullStr The modulatory effect of adaptive task-switching training on resting-state neural network dynamics in younger and older adults
title_full_unstemmed The modulatory effect of adaptive task-switching training on resting-state neural network dynamics in younger and older adults
title_short The modulatory effect of adaptive task-switching training on resting-state neural network dynamics in younger and older adults
title_sort modulatory effect of adaptive task-switching training on resting-state neural network dynamics in younger and older adults
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9184743/
https://www.ncbi.nlm.nih.gov/pubmed/35680953
http://dx.doi.org/10.1038/s41598-022-13708-x
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