Spatially Sparse, Temporally Smooth MEG Via Vector
In this paper we describe a new method for solving the Magnetoencephalography inverse problem: Temporal Vector `0-penalised Least Squares (TV-L0LS). The method calculates maximally sparse current dipole magnitudes and directions via spatial `0 regularisation on a cortically-distributed source grid, while constraining the solution to be smooth with respect to time. We demonstrate the utility of this method on real and simulated data by comparison to existing methods.
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