A new method of computing the conductivity tensor of brain tissue based on water diffusion tensor

Zhan Xiong Wu, Shan An Zhu, Bin He

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

The conductivity of brain tissue is an important parameter in EEG/MEG research. A new method was proposed for getting these parameters from the view of electrochemistry based on diffusion tensor imaging (DTI) using Stokes-Einstein and Nernst-Einstein equations. The method was tested on DTI data of a human subject, and the result was compared to the experiential conductivity of different brain tissues (white matter, grey matter, CSF). It was showed that the more anisotropic the tissue was, the further the conductivity tensor eigenvalue of it deviated, illuminating the necessary of including anisotropic conductivity in EEG/MEG. This method was based on DTI data incorporating the factor of the concentration of the ions in brain liquid, and provided an effective approach of calculating anisotropic conductivity of brain tissue.

Original languageEnglish (US)
Pages (from-to)521-526
Number of pages6
JournalChinese Journal of Biomedical Engineering
Volume28
Issue number4
StatePublished - Sep 14 2009

Keywords

  • Conductivity tensor
  • Diffusion tensor
  • Magnetic resonance

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