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

H. J. Kim; Z. J. Meng; S. Z. K. Sajib; M. Chauhan; W. C. Jeong; H. Wi; O. I. Kwon; E. J. Woo; T. I. Oh

doi:10.1049/el.2014.1330

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

H. J. Kim, Z. J. Meng, S. Z. K. Sajib, M. Chauhan, W. C. Jeong, H. Wi, O. I. Kwon, E. J. Woo, T. I. Oh

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

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.

Original language	English (US)
Pages (from-to)	1045-1047
Number of pages	3
Journal	Electronics Letters
Volume	50
Issue number	15
DOIs	https://doi.org/10.1049/el.2014.1330
State	Published - Jul 17 2014
Externally published	Yes

ASJC Scopus subject areas

Electrical and Electronic Engineering

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title = "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.",

author = "Kim, {H. J.} and Meng, {Z. J.} and {K. Sajib}, {S. Z.} and M. Chauhan and Jeong, {W. C.} and H. Wi and Kwon, {O. I.} and Woo, {E. J.} and Oh, {T. I.}",

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doi = "10.1049/el.2014.1330",

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AU - Kim, H. J.

AU - Meng, Z. J.

AU - K. Sajib, S. Z.

AU - Chauhan, M.

AU - Jeong, W. C.

AU - Wi, H.

AU - Kwon, O. I.

AU - Woo, E. J.

AU - Oh, T. I.

PY - 2014/7/17

Y1 - 2014/7/17

N2 - 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.

AB - 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.

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

Abstract

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