Influence of white matter inhomogeneous anisotropy on EEG forward computing

Bashar, R. and Li, Y. and Wen, P. (2008) Influence of white matter inhomogeneous anisotropy on EEG forward computing. Australasian Physical and Engineering Sciences in Medicine, 31 (2). pp. 122-130. ISSN 0158-9938

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Abstract

In this paper, we model the human head using the Volume and Wang’s constraint methods, and study the inhomogeneous anisotropic conductivity for white matter (WM) using finite element method (FEM). To represent the WM accurately, the conductivity ratio approximation (CRA) and statistical conductivity approximation (SCA) techniques are applied to assign inhomogeneous anisotropic conductivity. This model is evaluated and compared with a homogeneous isotropic model and a homogeneous anisotropic model. The results show that the effects of inhomogeneous anisotropic conductivity of WM on the scalp EEG are significant.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Published version deposited in accordance with the copyright policy of the publisher.
Depositing User: Dr Yan Li
Faculty / Department / School: Historic - Faculty of Sciences - Department of Maths and Computing
Date Deposited: 03 Jul 2008 00:13
Last Modified: 02 Jul 2013 23:04
Uncontrolled Keywords: inhomogeneous anisotropic conductivity; finite element method; conductivity ratio approximation; statistical conductivity approximation
Fields of Research (FOR2008): 09 Engineering > 0903 Biomedical Engineering > 090399 Biomedical Engineering not elsewhere classified
11 Medical and Health Sciences > 1103 Clinical Sciences > 110320 Radiology and Organ Imaging
01 Mathematical Sciences > 0102 Applied Mathematics > 010201 Approximation Theory and Asymptotic Methods
Socio-Economic Objective (SEO2008): E Expanding Knowledge > 97 Expanding Knowledge > 970110 Expanding Knowledge in Technology
URI: http://eprints.usq.edu.au/id/eprint/4245

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