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Two major non-invasive brain mapping techniques, electroencephalography (EEG) and functional magnetic resonance imaging (fMRI), have complementary advantages with regard to their spatial and temporal resolution. We propose an approach based on the integration of EEG and fMRI, enabling the EEG temporal dynamics of information processing to be characterized within spatially well-defined fMRI large-scale networks. First, the fMRI data are decomposed into networks by means of spatial independentdoi:10.1007/s10548-009-0132-3 pmid:20052528 pmcid:PMC5682027 fatcat:fvrydzcojjdnjfikv7k27mokaq