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Dynamic rewiring of electrophysiological brain networks during learning

Human learning is an active and complex process. However, the brain mechanisms underlying human skill learning and the effect of learning on the communication between brain regions, at different frequency bands, are still largely unknown. Here, we tracked changes in large-scale electrophysiological...

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Autores principales: Ruggeri, Paolo, Miehlbradt, Jenifer, Kabbara, Aya, Hassan, Mahmoud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MIT Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10312289/
https://www.ncbi.nlm.nih.gov/pubmed/37397886
http://dx.doi.org/10.1162/netn_a_00289
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author Ruggeri, Paolo
Miehlbradt, Jenifer
Kabbara, Aya
Hassan, Mahmoud
author_facet Ruggeri, Paolo
Miehlbradt, Jenifer
Kabbara, Aya
Hassan, Mahmoud
author_sort Ruggeri, Paolo
collection PubMed
description Human learning is an active and complex process. However, the brain mechanisms underlying human skill learning and the effect of learning on the communication between brain regions, at different frequency bands, are still largely unknown. Here, we tracked changes in large-scale electrophysiological networks over a 6-week training period during which participants practiced a series of motor sequences during 30 home training sessions. Our findings showed that brain networks become more flexible with learning in all the frequency bands from theta to gamma ranges. We found consistent increase of flexibility in the prefrontal and limbic areas in the theta and alpha band, and over somatomotor and visual areas in the alpha band. Specific to the beta rhythm, we revealed that higher flexibility of prefrontal regions during the early stage of learning strongly correlated with better performance measured during home training sessions. Our findings provide novel evidence that prolonged motor skill practice results in higher, frequency-specific, temporal variability in brain network structure.
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spelling pubmed-103122892023-07-01 Dynamic rewiring of electrophysiological brain networks during learning Ruggeri, Paolo Miehlbradt, Jenifer Kabbara, Aya Hassan, Mahmoud Netw Neurosci Research Article Human learning is an active and complex process. However, the brain mechanisms underlying human skill learning and the effect of learning on the communication between brain regions, at different frequency bands, are still largely unknown. Here, we tracked changes in large-scale electrophysiological networks over a 6-week training period during which participants practiced a series of motor sequences during 30 home training sessions. Our findings showed that brain networks become more flexible with learning in all the frequency bands from theta to gamma ranges. We found consistent increase of flexibility in the prefrontal and limbic areas in the theta and alpha band, and over somatomotor and visual areas in the alpha band. Specific to the beta rhythm, we revealed that higher flexibility of prefrontal regions during the early stage of learning strongly correlated with better performance measured during home training sessions. Our findings provide novel evidence that prolonged motor skill practice results in higher, frequency-specific, temporal variability in brain network structure. MIT Press 2023-06-30 /pmc/articles/PMC10312289/ /pubmed/37397886 http://dx.doi.org/10.1162/netn_a_00289 Text en © 2022 Massachusetts Institute of Technology https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. For a full description of the license, please visit https://creativecommons.org/licenses/by/4.0/.
spellingShingle Research Article
Ruggeri, Paolo
Miehlbradt, Jenifer
Kabbara, Aya
Hassan, Mahmoud
Dynamic rewiring of electrophysiological brain networks during learning
title Dynamic rewiring of electrophysiological brain networks during learning
title_full Dynamic rewiring of electrophysiological brain networks during learning
title_fullStr Dynamic rewiring of electrophysiological brain networks during learning
title_full_unstemmed Dynamic rewiring of electrophysiological brain networks during learning
title_short Dynamic rewiring of electrophysiological brain networks during learning
title_sort dynamic rewiring of electrophysiological brain networks during learning
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10312289/
https://www.ncbi.nlm.nih.gov/pubmed/37397886
http://dx.doi.org/10.1162/netn_a_00289
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