DocumentCode
2539744
Title
Effects of white matter on EEG of multi-layered spherical head models
Author
Bashar, Md Rezaul ; Li, Yan ; Wen, Peng
Author_Institution
Dept. of Math. & Comput., Univ. of Southern Queensland, Toowoomba, QLD
fYear
2008
fDate
20-22 Dec. 2008
Firstpage
59
Lastpage
64
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.
Keywords
biological tissues; cellular biophysics; electroencephalography; EEG; biological tissues; cerebrospinal fluid; complicated anisotropy tissue; electroencephalogram; five-layered spherical head models; four-layered spherical head models; gray matter; multicompartmental inhomogeneous media; multilayered spherical head models; piecewise homogeneous forward model; subcellular domains; white matter; Anisotropic magnetoresistance; Biological system modeling; Biological tissues; Brain modeling; Electroencephalography; Finite element methods; Humans; Nonhomogeneous media; Scalp; Skull;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Computer Engineering, 2008. ICECE 2008. International Conference on
Conference_Location
Dhaka
Print_ISBN
978-1-4244-2014-8
Electronic_ISBN
978-1-4244-2015-5
Type
conf
DOI
10.1109/ICECE.2008.4769173
Filename
4769173
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