Dual-Core Beamformer for obtaining highly correlated neuronal networks in MEG

►The dual-core beamformer reconstructs highly correlated networks from MEG data. ►Direct computation eliminates non-linear searches for orientation and weighting. ►A paired Powell search allows quick identification of multiple networks. ►The DCBF performs well for both computer simulations and real human MEG recordings. ►The DCBF does not require a priori information to be effective.