Estimation of Brain Electrical Sources using Multi-level Source Space Model

This paper proposes multi-level source space model (MLSSM) for the efficient and precise estimation of brain electrical activities. Unlike conventional source models, the proposed one generates both high and low resolution brain models which represent gray matter of a human cerebral cortex and then estimates brain electrical sources in a multi-resolutive manner. The usefulness of the proposed model is verified using realistic simulations with real brain noise and anatomy