Weighted minimum-norm source estimation of MEG/EEG with MUSIC pre-scanning

Proposes a method to reconstruct current distributions in the human brain from MEG/EEG measurements. This method is based on the weighted minimum-norm estimation (WMNE) technique with the weighting factors calculated from the results of simplified MUSIC source scanning (MUSIC-WMNE). In this method, in addition to the depth normalisation technique, weighting factors of the WMNE are determined by the cost values previously calculated based on the MUSIC scan which contains the temporal information of MEG/EEG data. The authors performed a computer simulation of this method and compared it to the conventional WMNE method. The results show that this method is effective for the reconstruction of the current distributions from noisy measured data