Building an EEG-fMRI Multi-Modal Brain Graph: A Concurrent EEG-fMRI Study.

ABSTRACT: The topological architecture of brain connectivity has been well-characterized by graph theory based analysis. However, previous studies have primarily built brain graphs based on a single modality of brain imaging data. Here we develop a framework to construct multi-modal brain graphs using concurrent EEG-fMRI data which are simultaneously collected during eyes open (EO) and eyes closed (EC) resting states. FMRI data are decomposed into independent components with associated time courses by group independent component analysis (ICA). EEG time series are segmented, and then spectral power time courses are computed and averaged within 5 frequency bands (delta; theta; alpha; beta; low gamma). EEG-fMRI brain graphs, with EEG electrodes and fMRI brain components serving as nodes, are built by

SUBMITTER: Yu Q 

PROVIDER: S-EPMC5039193 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature