title: Spatially Sparse, Temporally Smooth MEG Via Vector ℓ0 .
abstract: In this paper, we describe a new method for solving the magnetoencephalography inverse problem: temporal vector ℓ0-penalized least squares (TV-L0LS). The method calculates maximally sparse current dipole magnitudes and directions via spatial ℓ0 regularization 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.
authors.forename: Ben
authors.initials: B
authors.lastname: Cassidy
authors.forename: Victor
authors.initials: V
authors.lastname: Solo
mesh_terms: D000161:Acoustic Stimulation; D000465:Algorithms; D001921:Brain / Q000502:physiology; D003198:Computer Simulation; D006257:Head / Q000502:physiology; D006801:Humans; D015225:Magnetoencephalography / Q000379:methods*; D008954:Models, Biological; D012815:Signal Processing, Computer-Assisted