NDLI: Investigation of the electric field components of tDCS via anisotropically conductive gyri-specific finite element head models

Content Provider	IEEE Xplore Digital Library
Author	Metwally, M.K. Young Sun Cho Hae-Jeong Park Tae-Seong Kim
Copyright Year	2012
Description	Author affiliation: Dept. of Med. Sci., Yonsei Univ., Seoul, South Korea (Hae-Jeong Park) \|\| Dept. of Biomed. Eng., Kyung Hee Univ., Yongin, South Korea (Metwally, M.K.; Young Sun Cho; Tae-Seong Kim)
Abstract	Transcranial Direct Current Stimulation (tDCS) is considered as one of the promising techniques for noninvasive brain stimulation and brain disease therapy. In this study, we have investigated the effect of skull and white matter (WM) anisotropy on the induced electric field (EF) by tDCS in two different montages; one using a pair of clinically used rectangular pad electrodes and the other 4(cathodes)+1(anode) ring electrodes. Using a gyri-specific finite element (FE) head model, we simulated tDCS and investigated the radial and tangential components of the induced EF in terms of their distribution over the cortical surface besides the distribution of the transverse and longitudinal components within WM. The results show that the tangential component of the EF on the cortical surface seems to be the main cause of the cortical stimulation of tDCS. Also WM anisotropy seems to increase the dispersion of the transverse component of the EF that affects the dispersion of the EF magnitude within the WM region.
Sponsorship	IEEE Eng. Medicine Biol. Soc.
Starting Page	5514
Ending Page	5517
File Size	868651
Page Count	4
File Format	PDF
ISBN	9781424441198
ISSN	1557170X
e-ISBN	9781457717871
DOI	10.1109/EMBC.2012.6347243
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Anisotropic magnetoresistance Electrodes Brain models Solid modeling Conductivity Finite element methods
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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