MEG source localization using a frequency beamformer

This paper introduces a source localization technique that exploits the high temporal resolution of neuronal magnetoencephalography (MEG) data to locate the originating sources within the head. A traditional frequency beamforming algorithm was adapted from its conventional application of providing frequency information to yield information on the spatial location of simulated neuronal signals. This novel technique incorporates actual MEG sensor locations of the closest sensors at each location in space. The approach is relatively simple to implement, yields good spatial resolution, and accurately spatially locates a simulated source in low signal-to-noise environments.