Literature DB >> 1612618

Computation of the potential distribution in a four-layer anisotropic concentric spherical volume conductor.

H Zhou1, A van Oosterom.   

Abstract

A method for solving the potential distribution in a multilayer anisotropic concentric spherical volume conductor, which has recently been described in the literature, has been tested and found to be numerically unstable. In this paper it is demonstrated how these numerical difficulties can be avoided. Moreover, the method is extended by lifting the previously imposed restriction on the innermost region to be isotropic. A convergence criterion for determining the required number of terms in the final series expansion is proposed. The influences of radial and tangential conductivity values of the skull and brain tissue on the dipole-induced potential are investigated.

Entities:  

Mesh:

Year:  1992        PMID: 1612618     DOI: 10.1109/10.121646

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  5 in total

1.  Conductivity tensor mapping of the human brain using diffusion tensor MRI.

Authors:  D S Tuch; V J Wedeen; A M Dale; J S George; J W Belliveau
Journal:  Proc Natl Acad Sci U S A       Date:  2001-09-25       Impact factor: 11.205

2.  Influence of skull anisotropy for the forward and inverse problem in EEG: simulation studies using FEM on realistic head models.

Authors:  G Marin; C Guerin; S Baillet; L Garnero; G Meunier
Journal:  Hum Brain Mapp       Date:  1998       Impact factor: 5.038

3.  Individually shaped volume conductor models of the head in EEG source localisation.

Authors:  F Zanow; M J Peters
Journal:  Med Biol Eng Comput       Date:  1995-07       Impact factor: 2.602

4.  Combining fMRI with EEG and MEG in order to relate patterns of brain activity to cognition.

Authors:  Walter J Freeman; Seppo P Ahlfors; Vinod Menon
Journal:  Int J Psychophysiol       Date:  2009-02-20       Impact factor: 2.997

5.  Feasibility of Equivalent Dipole Models for Electroencephalogram-Based Brain Computer Interfaces.

Authors:  Paul H Schimpf
Journal:  Brain Sci       Date:  2017-09-15
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.