z-logo
Premium
Numerical model of electrical potential within the human head
Author(s) -
Nixon J. B.,
Rasser P. E.,
Teubner M. D.,
Clark C. R.,
Bottema M. J.
Publication year - 2003
Publication title -
international journal for numerical methods in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.421
H-Index - 168
eISSN - 1097-0207
pISSN - 0029-5981
DOI - 10.1002/nme.649
Subject(s) - head (geology) , human head , relaxation (psychology) , convergence (economics) , dipole , iterative method , concentric , mathematical analysis , finite difference method , computer science , finite element method , materials science , mechanics , physics , algorithm , mathematics , geometry , geology , thermodynamics , psychology , social psychology , quantum mechanics , geomorphology , economic growth , economics
A realistic subject‐specific human head model was constructed based on structural magnetic resonance imaging (sMRI) data. Electrical conductivities were assigned inhomogeneously according to tissue type and variability within each head segment. A three‐dimensional (3D) finite‐difference method (FDM) was used to compute the evolution of the electrical potential from a single electrical dipole within the brain. The Douglas–Rachford FDM and three versions of iterative FDM were tested on a three‐layer concentric sphere model. The successive over‐relaxation (SOR) iterative method showed the best convergence properties and hence was used to compute the electrical potential within a realistic head model. The effect of using inhomogeneous rather than homogeneous conductivities within head segments of this model was shown to be important. Copyright © 2003 John Wiley & Sons, Ltd.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom