• DocumentCode
    1272567
  • Title

    Dipole models for the EEG and MEG

  • Author

    Schimpf, Paul H. ; Ramon, Ceon ; Haueisen, Jens

  • Author_Institution
    Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Spokane, WA, USA
  • Volume
    49
  • Issue
    5
  • fYear
    2002
  • fDate
    5/1/2002 12:00:00 AM
  • Firstpage
    409
  • Lastpage
    418
  • Abstract
    The current dipole is a widely used source model in forward and inverse electroencephalography and magnetoencephalography applications. Analytic solutions to the governing field equations have been developed for several approximations of the human head using ideal dipoles as the source model. Numeric approaches such as the finite-element and finite-difference methods have become popular because they allow the use of anatomically realistic head models and the increased computational power that they require has become readily available. Although numeric methods can represent more realistic domains, the sources in such models are an approximation of the ideal dipole. In this paper, we examine several methods for representing dipole sources in finite-element models and compare the resulting surface potentials and external magnetic field with those obtained from analytic solutions using ideal dipoles.
  • Keywords
    Galerkin method; Poisson equation; bioelectric potentials; brain models; electroencephalography; finite element analysis; inverse problems; magnetoencephalography; EEG; Galerkin method; MEG; Poisson equation; anatomically realistic head models; boundary condition; current dipole; dipole models; external magnetic field; finite-difference method; finite-element method; forward problem; hexahedral parallelipipeds; ideal dipoles; source model; surface potentials; transverse dipoles; volume discretizing numeric methods; Brain modeling; Electroencephalography; Equations; Finite difference methods; Finite element methods; Humans; Magnetic analysis; Magnetic fields; Magnetic heads; Magnetoencephalography; Brain Mapping; Computer Simulation; Electric Conductivity; Electroencephalography; Electromagnetic Fields; Electrophysiology; Finite Element Analysis; Magnetoencephalography; Membrane Potentials; Models, Neurological; Numerical Analysis, Computer-Assisted;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/10.995679
  • Filename
    995679