Resting state fast brain dynamics predict interindividual variability in motor performance

Abstract 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 ea...

Full description

Bibliographic Details
Main Authors: Liliia Roshchupkina, Vincent Wens, Nicolas Coquelet, Xavier de Tiege, Philippe Peigneux
Format: Article
Language:English
Published: Nature Portfolio 2022-03-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-08767-z