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

Author

Kim, H.J. ; Meng, Z.J. ; Sajib, S.Z.K. ; Chauhan, Munish ; Jeong, Woo Chul ; Wi, Hun ; Kwon, Oh In ; Woo, Eung Je ; Oh, Tong

Author_Institution

Dept. of Biomed. Eng., Kyung Hee Univ., Yongin, South Korea

Volume

50

Issue

15

fYear

2014

fDate

July 17 2014

Firstpage

1045

Lastpage

1047

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.

Keywords

bioelectric phenomena; biological tissues; biomedical MRI; brain; current density; diseases; electric impedance imaging; magnetic flux; neurophysiology; numerical analysis; patient treatment; DBS; MREIT; Parkinson disease; brain tissues; current density distribution; deep brain stimulation; electrical stimulation; electromagnetic field distribution; magnetic flux density data; magnetic resonance-based electrical impedance tomography; neurological diseases treatment; numerical simulation; patient diagnosis; therapeutic effects; tremors;

fLanguage

English

Journal_Title

Electronics Letters

Publisher

iet

ISSN

0013-5194

Type

jour

DOI

10.1049/el.2014.1330

Filename

6856334