Precise Estimation of Brain Electrical Sources Using Anatomically Constrained Area Source (ACAS) Localization

Abstract

This paper proposes a new parametric source model to precisely estimate brain electrical source distribution from electroencephalogram (EEG) or magnetoencephalogram recordings. In the proposed approach, only four free parameters need to be evaluated for each anatomically constrained area source to express both spatial locations and extensions of brain electrical activities on cortical surface. The feasibility of the proposed model is verified through the applications to realistic EEG simulations and epilepsy patient's data.