A novel adaptive beamformer for MEG source reconstruction effective when large background brain activities exist |
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Authors: | Sekihara Kensuke Hild Kenneth E Nagarajan Srikantan S |
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Affiliation: | Department of Systems Design and Engineering, Tokyo Metropolitan University, Japan. ksekiha@cc.tmit.ac.jp |
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Abstract: | This paper proposes a novel prewhitening eigenspace beamformer suitable for magnetoencephalogram (MEG) source reconstruction when large background brain activities exist. The prerequisite for the method is that control-state measurements, which contain only the contributions from the background interference, be available, and that the covariance matrix of the background interference can be obtained from such control-state measurements. The proposed method then uses this interference covariance matrix to remove the influence of the interference in the reconstruction obtained from the target measurements. A numerical example, as well as applications to two types of MEG data, demonstrates the effectiveness of the proposed method. |
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