Effects of white matter on EEG of multi-layered spherical head models

Bashar, Md. Rezaul and Li, Yan and Wen, Peng (2008) Effects of white matter on EEG of multi-layered spherical head models. In: ICECE 2008: 5th International Conference on Electrical and Computer Engineering , 20-22 Dec 2008, Dhaka, Bangladesh.

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Abstract

Biological tissues are multi-compartmental inhomogeneous media composed of different cellular and subcellular domains. Human head, a multi-compartmental inhomogeneous medium, is composed of scalp, skull, cerebrospinal fluid (CSF), gray matter (GM), white matter (WM), and other subcellular domains. Among these domains, skull and WM show the complicated anisotropy tissue property because of their physiological structure. However, many researchers model human head excluding WM. This research investigates the necessity of WM using four- and five- layered spherical head models. Fourlayered head model excludes WM while five-layered model includes it. The piecewise homogeneous forward model using finite element method is implemented to measure electroencephalogram (EEG) on head surface for both head models. Analyzing these EEGs, this research finds the necessity of using WM to make an accurate human head model.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Author's 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: 06 Feb 2009 05:21
Last Modified: 02 Jul 2013 23:12
Uncontrolled Keywords: white matter; EEG; head models
Fields of Research (FOR2008): 01 Mathematical Sciences > 0102 Applied Mathematics > 010202 Biological Mathematics
09 Engineering > 0903 Biomedical Engineering > 090399 Biomedical Engineering not elsewhere classified
11 Medical and Health Sciences > 1103 Clinical Sciences > 110320 Radiology and Organ Imaging
Socio-Economic Objective (SEO2008): E Expanding Knowledge > 97 Expanding Knowledge > 970110 Expanding Knowledge in Technology
Identification Number or DOI: doi: 10.1109/ICECE.2008.4769173
URI: http://eprints.usq.edu.au/id/eprint/4843

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