Numerical simulation of electromagnetic field distribution induced in brain by electrical stimulation

Abstract

Deep brain stimulation (DBS) is widely used for the treatment of various neurological diseases such as Parkinson's disease and tremors. Owing to the inherent limitations of the imaging modalities, physicians have a difficulty in the diagnosis of the exact response to the brain tissues during stimulation. Recent magnetic resonance (MR)-based electrical impedance tomography (MREIT) enables estimation of the current density distribution from the measured magnetic flux density data. Applying MREIT to DBS, one can predict the current pathway and electric field distribution which could be useful information for proving the therapeutic effects of electrical stimulation. © 2014 The Institution of Engineering and Technology.