Spatiotemporal mapping of cortical activity accompanying voluntary movements using an event-related beamforming approach.

We describe a novel spatial filtering approach to the localization of cortical activity accompanying voluntary movements. The synthetic aperture magnetometry (SAM) minimum-variance beamformer algorithm was used to compute spatial filters three-dimensionally over the entire brain from single trial neuromagnetic recordings of subjects performing self-paced index finger movements. Images of instantaneous source power ("event-related SAM") computed at selected latencies revealed activation of multiple cortical motor areas prior to and following left and right index finger movements in individual subjects, even in the presence of low-frequency noise (e.

Analysis of frequency components of cortical potentials evoked by progressive misalignment of Kanizsa squares.

Cortical gamma oscillations (20-100 Hz) are thought to play an important role in encoding visual perception. If so they should emerge at about threshold. In the present investigation we examined the latter proposal.