• DocumentCode
    3014487
  • Title

    A Study of white matter and skull inhomogeneous anisotropic tissue conductivities on EEG forward head modeling

  • Author

    Bashar, Md Rezaul ; Li, Yan ; Wen, Peng

  • fYear
    2008
  • fDate
    24-27 Dec. 2008
  • Firstpage
    7
  • Lastpage
    13
  • Abstract
    The aim of this study is to investigate the effects of white matter (WM) and skull inhomogeneous anisotropic tissue conductivities on human head modeling. The inhomogeneity of WM and skull is included using fractional anisotropy (FA) method and the anisotropy is included according to volume constraint in the head model construction. A five-layered spherical head model implemented using finite element method (FEM) is used as a volume conductor with a known current source to measure the electroencephalogram (EEG) on the head surface. Statistical measurement techniques are applied to analyze the EEGs obtained from inhomogeneous anisotropic head models and a homogeneous isotropic model. This study finds that the effects of WM and skull inhomogeneous anisotropy on EEG are significant.
  • Keywords
    electroencephalography; finite element analysis; statistical analysis; electroencephalogram; electroencephalogram forward head modeling; finite element method; fractional anisotropy method; head model construction; homogeneous isotropic model; skull inhomogeneous anisotropic tissue conductivities; spherical head model; statistical measurement techniques; volume conductor; white matter; Anisotropic magnetoresistance; Brain modeling; Conductivity; Conductors; Current measurement; Electroencephalography; Finite element methods; Humans; Skull; Volume measurement; EEG; Fractional anisotropy; finite element method; forward problem; inhomogeneous anisotropic conductivity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Technology, 2008. ICCIT 2008. 11th International Conference on
  • Conference_Location
    Khulna
  • Print_ISBN
    978-1-4244-2135-0
  • Electronic_ISBN
    978-1-4244-2136-7
  • Type

    conf

  • DOI
    10.1109/ICCITECHN.2008.4803103
  • Filename
    4803103