Albuquerque, NM

Differences in cognition and perception are thought to emerge from differences in the dynamic activity of functional brain networks. These brain networks exist over a broad range of spatial and temporal scales and the subset of networks identified in a given study depends on the constraints of the imaging modalities used. The correspondence between intrinsic fMRI and EEG networks is examined in the first part of this talk using group independent component analysis (group ICA) and deconvolution of the source time courses. The linked EEG-fMRI networks provide an improved spatiotemporal characterization of human brain dynamics. The second part of the talk will examine the advantages of the frequency tagging approach in EEG. The approach entails presenting an oscillating visual input and isolating the “output” cortical response, indicated by EEG responses that entrain to the input frequency. Our findings demonstrate an input frequency that targets brain networks that appear to be involved in enhancing visual features and another input frequency that targets brain networks involved in suppressing or ignoring visual features. The findings demonstrate that different input frequencies can target distinct brain networks with functionally distinct properties.