In noiseless simulations, EEG source reconstructions are most accurate when the forward source model matches the inverse method's source prior, e.g., the point-like Local subtraction model paired with the sparse SHAL1R solver.
Duneuro: A software toolbox for forward modeling in bioelectromagnetism
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Forward--Inverse Interplay in FEM-Based EEG Source Imaging: Distributional Signatures of Advanced Source Models and Inverse Solvers
In noiseless simulations, EEG source reconstructions are most accurate when the forward source model matches the inverse method's source prior, e.g., the point-like Local subtraction model paired with the sparse SHAL1R solver.