A data-driven network decomposition of the temporal, spatial, and spectral dynamics underpinning visual-verbal working memory processes

A data-driven network decomposition of the temporal, spatial, and spectral dynamics underpinning visual-verbal working memory processes

Abstract The brain dynamics underlying working memory (WM) unroll via transient frequency-specific large-scale brain networks. This multidimensionality (time, space, and frequency) challenges traditional analyses. Through an unsupervised technique, the time delay embedded-hidden Markov model (TDE-HM...

Full description

Bibliographic Details
Main Authors: Chiara Rossi, Diego Vidaurre, Lars Costers, Fahimeh Akbarian, Mark Woolrich, Guy Nagels, Jeroen Van Schependom
Format: Article
Language:English
Published: Nature Portfolio 2023-10-01
Series:Communications Biology
Online Access:https://doi.org/10.1038/s42003-023-05448-z

Internet

https://doi.org/10.1038/s42003-023-05448-z

Similar Items