• DocumentCode
    471492
  • Title

    Estimation of Cortical Dipole Sources by Equivalent Dipole Layer Imaging and Independent Component Analysis

  • Author

    Aoki, Naotoshi ; Hori, Junichi ; He, Bin

  • Author_Institution
    Dept. of Biocybernetics, Niigata Univ.
  • fYear
    2006
  • fDate
    Aug. 30 2006-Sept. 3 2006
  • Firstpage
    992
  • Lastpage
    995
  • Abstract
    We explored suitable estimation method for equivalent dipole sources in the brain. In a previous study, we solved an inverse problem that estimated an equivalent dipole-layer distribution from the scalp electroencephalogram by a spatio-temporal inverse filters constructed with parametric projection filter. In the present study, we estimated equivalent dipole sources from dipole layer distributions. Moreover, to identify the number, position, and moment of equivalent dipole sources, we separated each dipole layer distribution using independent component analysis (ICA). The performance of the proposed estimation method was evaluated by computer simulation and human experimental studies in an inhomogeneous three-concentric sphere head model. The present simulation results indicated that the equivalent dipole sources was accurately estimated by ICA and dipole imaging. We also applied the proposed method to human visual evoked potential
  • Keywords
    brain; digital simulation; electroencephalography; independent component analysis; medical computing; neurophysiology; brain; computer simulation; cortical dipole source; dipole layer distribution; equivalent dipole layer imaging; human visual evoked potential; independent component analysis; inhomogeneous three-concentric sphere head model; parametric projection filter; scalp electroencephalogram; spatio-temporal inverse filter; Brain modeling; Cities and towns; Electroencephalography; Filters; Head; High-resolution imaging; Humans; Independent component analysis; Inverse problems; Scalp;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
  • Conference_Location
    New York, NY
  • ISSN
    1557-170X
  • Print_ISBN
    1-4244-0032-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2006.259907
  • Filename
    4461920