Integration of high resolution EEG and fMR for the analysis of the cortical rhythms related to voluntary movements

In this study, cortical sources of human movement-related potentials were modeled using functional magnetic resonance magnetic (fMR) data as a constraint for linear inverse source estimation from highly sampled (128 channels) EEG data. Determination of the priors in the resolution of the linear inverse problem was performed with the use of information from the hemodynamic coupling between the cortical areas as revealed by the event-related fMR. Applications of hemodynamic constraints were shown in the evaluation of the cortical sources responsible for the synchronization or desynchronization of EEG rhythms during voluntary finger movements.