• DocumentCode
    2494367
  • Title

    Effect of white matter anisotropy in modeling electroconvulsive therapy

  • Author

    Bai, Siwei ; Loo, Colleen ; Geng, Guangqiang ; Dokos, Socrates

  • Author_Institution
    Grad. Sch. of Biomed. Eng., Univ. of New South Wales (UNSW), Sydney, NSW, Australia
  • fYear
    2011
  • fDate
    Aug. 30 2011-Sept. 3 2011
  • Firstpage
    5492
  • Lastpage
    5495
  • Abstract
    White matter in the brain exhibits strong anisotropic conductivity. Modeling studies on electroen-cephalography have found that such anisotropic conductivity greatly influences the estimated dipole source. In this study, we made a detailed comparison of the effects of conductivity anisotropy using a computational model of electroconvulsive therapy (ECT). The human head model was a high resolution finite element model generated from MRI scans, implemented with tissue heterogeneity and an excitable neural model incorporated in the brain. Results showed that anisotropy in conductivity had minimal effects on the location of the brain region that was maximally activated, but it had relatively large effects on deep brain structures.
  • Keywords
    bioelectric phenomena; biological tissues; biomedical MRI; brain models; electroencephalography; finite element analysis; image segmentation; medical image processing; neurophysiology; patient treatment; physiological models; MRI; anisotropic conductivity; conductivity anisotropy; deep brain structures; electroconvulsive therapy; electroencephalography; excitable neural model; finite element model; human head model; tissue heterogeneity; white matter anisotropy; Anisotropic magnetoresistance; Biological system modeling; Brain modeling; Computational modeling; Conductivity; Head; Tensile stress; Action Potentials; Anisotropy; Brain; Computer Simulation; Electroconvulsive Therapy; Humans; Models, Neurological; Nerve Fibers, Myelinated; Therapy, Computer-Assisted;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
  • Conference_Location
    Boston, MA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4121-1
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2011.6091401
  • Filename
    6091401