• DocumentCode
    3217426
  • Title

    Finite element analysis of transcranial electrical stimulation for intraoperative monitoring

  • Author

    Li, Daliang Leon ; Rath, William Tyler ; Journee, H. Louis ; Sclabassi, Robert J. ; Sun, Mingui

  • Author_Institution
    Dept. of Neurosurg., Pittsburgh Univ., PA, USA
  • fYear
    2005
  • fDate
    2-3 April 2005
  • Firstpage
    96
  • Lastpage
    97
  • Abstract
    Transcranial electrical stimulation (TES) is an important intraoperative monitoring procedure. When neurosurgery is performed at certain difficult locations within the central nervous system (CNS), TES evaluates CNS functions during surgical manipulations to prevent post-operative complications. However, the parameters currently utilized in TES are usually experimentally determined which may not be optimal. We have constructed a finite elements model to analyze TES based on a 2D volume conductor model. A realistically shaped simulation domain is constructed by taking the inhomogeneous electrical conductivity values of different tissues into account. Laplace´s equation is numerically solved with a set of appropriately selected boundary conditions using the finite element method. Our simulation has yielded clear maps of potential and current distributions within the intracranial space, providing valuable information to optimize the TES procedure.
  • Keywords
    Laplace equations; bioelectric potentials; finite element analysis; neurophysiology; surgery; 2D volume conductor model; CNS function; Laplace equation; central nervous system; finite element analysis; inhomogeneous electrical conductivity value; intracranial potential; intracranial space current distribution; intraoperative monitoring; neurosurgery; post-operative complication prevention; realistically shaped simulation domain; selected boundary condition; surgical manipulation; tissue electrical conductivity; transcranial electrical stimulation; Central nervous system; Conductivity; Conductors; Electrical stimulation; Finite element methods; Laplace equations; Monitoring; Neurosurgery; Performance evaluation; Surgery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioengineering Conference, 2005. Proceedings of the IEEE 31st Annual Northeast
  • Print_ISBN
    0-7803-9105-5
  • Electronic_ISBN
    0-7803-9106-3
  • Type

    conf

  • DOI
    10.1109/NEBC.2005.1431942
  • Filename
    1431942