Literature DB >> 16941840

Influence of anisotropic conductivity on EEG source reconstruction: investigations in a rabbit model.

Daniel Güllmar1, Jens Haueisen, Michael Eiselt, Frank Giessler, Lars Flemming, Alfred Anwander, Thomas R Knösche, Carsten H Wolters, Matthias Dümpelmann, David S Tuch, Jürgen R Reichenbach.   

Abstract

The aim of our work was to quantify the influence of white matter anisotropic conductivity information on electroencephalography (EEG) source reconstruction. We performed this quantification in a rabbit head using both simulations and source localization based on invasive measurements. In vivo anisotropic (tensorial) conductivity information was obtained from magnetic resonance diffusion tensor imaging and included into a high-resolution finite-element model. When neglecting anisotropy in the simulations, we found a shift in source location of up to 1.3 mm with a mean value of 0.3 mm. The averaged orientational deviation was 10 degree and the mean magnitude error of the dipole was 29%. Source localization of the first cortical components after median and tibial nerve stimulation resulted in anatomically verified dipole positions with no significant anisotropy effect. Our results indicate that the expected average source localization error due to anisotropic white matter conductivity is within the principal accuracy limits of current inverse procedures. However, larger localization errors might occur in certain cases. In contrast, dipole orientation and dipole strength are influenced significantly by the anisotropy. We conclude that the inclusion of tissue anisotropy information improves source estimation procedures.

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Year:  2006        PMID: 16941840     DOI: 10.1109/TBME.2006.876641

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


  10 in total

1.  Modeling of the human skull in EEG source analysis.

Authors:  Moritz Dannhauer; Benjamin Lanfer; Carsten H Wolters; Thomas R Knösche
Journal:  Hum Brain Mapp       Date:  2010-08-05       Impact factor: 5.038

2.  Finite difference iterative solvers for electroencephalography: serial and parallel performance analysis.

Authors:  Derek N Barnes; John S George; Kwong T Ng
Journal:  Med Biol Eng Comput       Date:  2008-05-14       Impact factor: 2.602

3.  Regional electric field induced by electroconvulsive therapy in a realistic finite element head model: influence of white matter anisotropic conductivity.

Authors:  Won Hee Lee; Zhi-De Deng; Tae-Seong Kim; Andrew F Laine; Sarah H Lisanby; Angel V Peterchev
Journal:  Neuroimage       Date:  2011-10-18       Impact factor: 6.556

4.  Influence of white matter anisotropic conductivity on EEG source localization: comparison to fMRI in human primary visual cortex.

Authors:  Won Hee Lee; Zhongming Liu; Bryon A Mueller; Kelvin Lim; Bin He
Journal:  Clin Neurophysiol       Date:  2009-10-14       Impact factor: 3.708

5.  EEG source analysis of epileptiform activity using a 1 mm anisotropic hexahedra finite element head model.

Authors:  M Rullmann; A Anwander; M Dannhauer; S K Warfield; F H Duffy; C H Wolters
Journal:  Neuroimage       Date:  2008-09-24       Impact factor: 6.556

6.  Incorporating and Compensating Cerebrospinal Fluid in Surface-Based Forward Models of Magneto- and Electroencephalography.

Authors:  Matti Stenroos; Aapo Nummenmaa
Journal:  PLoS One       Date:  2016-07-29       Impact factor: 3.240

7.  The effect of stimulation type, head modeling, and combined EEG and MEG on the source reconstruction of the somatosensory P20/N20 component.

Authors:  Marios Antonakakis; Sophie Schrader; Andreas Wollbrink; Robert Oostenveld; Stefan Rampp; Jens Haueisen; Carsten H Wolters
Journal:  Hum Brain Mapp       Date:  2019-08-09       Impact factor: 5.038

8.  Numerical study of magnetoacoustic signal generation with magnetic induction based on inhomogeneous conductivity anisotropy.

Authors:  Xun Li; Sanqing Hu; Lihua Li; Shanan Zhu
Journal:  Comput Math Methods Med       Date:  2013-03-26       Impact factor: 2.238

9.  Reconstructing coherent networks from electroencephalography and magnetoencephalography with reduced contamination from volume conduction or magnetic field spread.

Authors:  Mark Drakesmith; Wael El-Deredy; Stephen Welbourne
Journal:  PLoS One       Date:  2013-12-02       Impact factor: 3.240

10.  Skull Defects in Finite Element Head Models for Source Reconstruction from Magnetoencephalography Signals.

Authors:  Stephan Lau; Daniel Güllmar; Lars Flemming; David B Grayden; Mark J Cook; Carsten H Wolters; Jens Haueisen
Journal:  Front Neurosci       Date:  2016-04-07       Impact factor: 4.677

  10 in total

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