Integration of High Resolution EEG and functional magnetic resonance in the study of human movement-related potentials

Cortical sources of human movement-related potentials (i.e. unilateral fing er extension) were modeled using functional magnetic resonance imaging (fMR ) data as a constraint of a linear inverse source estimation from highly sa mpled (128 channels) EEG data. Remarkably, this estimation was performed wi thin realistic subject's MR-constructed head models by boundary element tec hniques, An appropriate figure of merit served to set the optimal amount of fMR constraints. With respect to standard linear inverse source estimates, fMR-constrained ones presented increased spatial detail and provided a mor e reliable timing of activation in bilateral sensorimotor cortical regions of interest.