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Chunk #244 — 3 Inverse solutions — 3.2 Parametric methods — 3.2.2 Beamforming approaches

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Review on solving the inverse problem in EEG source analysis.
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where E S is the matrix whose columns consist of the signal-level eigenvectors of C m . This beamformer, when tested on Magnetoencephalography (MEG) experiments, not only improved the SNR considerably but also the spatial resolution. In [50], it is further extended to a prewhitened eigenspace projection beamformer to reduce interference arising from background brain activities.