Resting state fast brain dynamics predict interindividual variability in motor performance

Motor learning features rapid enhancement during practice then offline post-practice gains with the reorganization of related brain networks. We hypothesised that fast transient, sub-second variations in magnetoencephalographic (MEG) network activity during the resting-state (RS) reflect early learn...

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Detalles Bibliográficos
Autores principales: Roshchupkina, Liliia, Wens, Vincent, Coquelet, Nicolas, de Tiege, Xavier, Peigneux, Philippe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8964712/
https://www.ncbi.nlm.nih.gov/pubmed/35351907
http://dx.doi.org/10.1038/s41598-022-08767-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8964712/
https://www.ncbi.nlm.nih.gov/pubmed/35351907
http://dx.doi.org/10.1038/s41598-022-08767-z

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