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Influence of white matter inhomogeneous anisotropy on EEG forward computing

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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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Authors and Affiliations

  1. Department of Mathematics and Computing, Centre for Systems Biology, University of Southern Queensland, 4350, Toowoomba, QLD, Australia

    R. Bashar & Y. Li

  2. Faculty of Engineering and Surveying, Centre for Systems Biology, University of Southern Queensland, Toowoomba, Australia

    P. Wen

Authors
  1. R. Bashar
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  2. Y. Li
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  3. P. Wen
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Correspondence to R. Bashar.

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Bashar, R., Li, Y. & Wen, P. Influence of white matter inhomogeneous anisotropy on EEG forward computing. Australas. Phys. Eng. Sci. Med. 31, 122–130 (2008). https://doi.org/10.1007/BF03178586

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  • DOI: https://doi.org/10.1007/BF03178586

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