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
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