Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Age of onset modulates resting‐state brain network dynamics in Friedreich Ataxia
por: Naeije, Gilles, et al.
Publicado: (2021) -
Microstates and power envelope hidden Markov modeling probe bursting brain activity at different timescales
por: Coquelet, N., et al.
Publicado: (2022) -
Alterations in resting-state network dynamics along the Alzheimer’s disease continuum
por: Puttaert, D., et al.
Publicado: (2020) -
Atypical resting-state functional brain connectivity in children with developmental coordination disorder
por: Van Dyck, Dorine, et al.
Publicado: (2021) -
The electrophysiological connectome is maintained in healthy elders: a power envelope correlation MEG study
por: Coquelet, N., et al.
Publicado: (2017)