Abstract
Publisher Summary This chapter discusses a source reconstruction approach, beamforming, which was only recently introduced to electroencephalography (EEG) and magnetoencephalography (MEG). As with any other source reconstruction method, a set of a priori assumptions are made so that a solution to the inverse problemcan be obtained. The main assumption behind the beamformer approach is that no two distant cortical areas generate coherent local field potentials over long time scales; it has been shown empirically that this is a reasonable assumption set. The reason the beamformer assumption set although simplistic, may indeed be quite plausible is argued on the basis of anatomical and electrophysiological data. The time when the assumptions might fail is described and suggestions for improvements in the beamformer implementations are presented. Beamforming is an exciting new approach to MEGsource reconstruction that could provide another stepping stone on the route towards an appropriate assumption set with which to non-invasively image the brain.
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