Influence of tissue conductivity anisotropy on EEG/MEG field and return current computation in a realistic head model: A simulation and visualization study using high-resolution finite element modeling

@article{Wolters2006InfluenceOT,
  title={Influence of tissue conductivity anisotropy on EEG/MEG field and return current computation in a realistic head model: A simulation and visualization study using high-resolution finite element modeling},
  author={Carsten H. Wolters and Alfred Anwander and Xavier M. Tricoche and David M. Weinstein and Martin A. Koch and Rob Macleod},
  journal={NeuroImage},
  year={2006},
  volume={30},
  pages={813-826}
}
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425 Citations
Highly Influential Citations
36
Background Citations
177
Methods Citations
112
Results Citations
11

425 Citations

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Simulation studies showed that for EEG data with realistic SNR, the LRCE method was able to simultaneously reconstruct both the brain and the skull conductivity together with the underlying dipole source and provided an improved source analysis result.
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lectroencephalography (EEG) and magnetoencephal- ography (MEG) are noninvasive human brain imaging devices to estimate neural electrical activities in human cerebral cortex using electromagnetic…
Influence of anisotropic conductivity on EEG source reconstruction: investigations in a rabbit model
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The 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.
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The Finite Element Method in EEG/MEG Source Analysis
Electro- and magnetoencephalography (EEG/MEG)-based source reconstruction of cerebral activity (the EEG/MEG inverse problem) is an important tool both in clinical practice and research and in…
Combining EEG and MEG for the Reconstruction of Epileptic Activity Using a Calibrated Realistic Volume Conductor Model
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A new experimental and methodological source analysis pipeline is introduced that combines the complementary information in EEG and MEG, and applied to data from a patient, suffering from refractory focal epilepsy, to increase the reliability for the non-invasive determination of the irritative zone in presurgical epilepsy diagnosis.
A Finite-Difference Solution for the EEG Forward Problem in Inhomogeneous Anisotropic Media
TLDR
This work develops a computationally efficient FDM solution that can flexibly integrate voxel-wise conductivity and anisotropy information, and applies the developed FDM tool to high-resolution MR images from a real experimental subject, to demonstrate the potential added value.
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References

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The inverse problem in Electroand Magneto-EncephaloGraphy (EEG/MEG) aims at reconstructing the underlying current distribution in the human brain using potential differences and/or magnetic fluxes…
Improved tissue modeling and fast solver methods for high resolution FE-modeling in EEG/MEG-source localization
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This paper outlines how individualized high resolution finite element (FE) models, exploiting multimodal MR-imaging protocols, are automatically constructed and presents an improved segmentation of the skull through a combination of T1and PD-MRI.
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The lead field approach will speed up the state-of-the-art forward approach by a factor of more than 100 for a realistic choice of the number of sensors and sources and leads to a highly efficient solution of FE-based source reconstruction problems.
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It is expected that inclusion of tissue anisotropy information will improve source estimation procedures and find a major influence on the amplitude of EEG and MEG due to the change in conductivity and the inclusion of anisotropic volume conduction.
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TLDR
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The effective medium model indicates a strong linear relationship between the conductivity and diffusion tensor eigenvalues (respectively, σ and d) in agreement with theoretical bounds and experimental measurements presented here.
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