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A novel adaptive beamformer for MEG source reconstruction effective when large background brain activities exist

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3 Author(s)
K. Sekihara ; Dept. of Syst. Design & Eng., Tokyo Metropolitan Univ., Japan ; K. E. Hild ; S. S. Nagarajan

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

Published in:

IEEE Transactions on Biomedical Engineering  (Volume:53 ,  Issue: 9 )