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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MIT Press
2023
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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. |
format | Online Article Text |
id | pubmed-10312289 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MIT Press |
record_format | MEDLINE/PubMed |
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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