Detecting large-scale networks in the human brain using high-density electroencephalography.

ABSTRACT: High-density electroencephalography (hdEEG) is an emerging brain imaging technique that can be used to investigate fast dynamics of electrical activity in the healthy and the diseased human brain. Its applications are however currently limited by a number of methodological issues, among which the difficulty in obtaining accurate source localizations. In particular, these issues have so far prevented EEG studies from reporting brain networks similar to those previously detected by functional magnetic resonance imaging (fMRI). Here, we report for the first time a robust detection of brain networks from resting state (256-channel) hdEEG recordings. Specifically, we obtained 14 networks previously described in fMRI studies by means of realistic 12-layer head models and exact low-resolution bra

SUBMITTER: Liu Q 

PROVIDER: S-EPMC6867042 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature