ArticleFrontiers in neuroscience2019
Influence of Head Tissue Conductivity Uncertainties on EEG Dipole Reconstruction.
Article in Frontiers in neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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38 citing papers in PubMed.
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- Sources of the N15 TMS-evoked potential following motor cortex stimulation localize rostrals to TMS-induced electric fields and depend on dose.Imaging neuroscience (Cambridge, Mass.) · 2026Article
- High-definition MEG source estimation using the reciprocal boundary element fast multipole method.NeuroImage · 2025Article
- Precision non-invasive brain stimulation: anJournal of neural engineering · 2025Article
- Editorial: Forward and inverse solvers in multi-modal electric and magnetic brain imaging: theory, implementation, and application.Frontiers in human neuroscience · 2025Article
- Improving EEG Forward Modeling Using High-Resolution Five-Layer BEM-FMM Head Models: Effect on Source Reconstruction Accuracy.Bioengineering (Basel, Switzerland) · 2024Article
- Exploring Electrocortical Signatures of Gait Adaptation: Differential Neural Dynamics in Slow and Fast Gait Adapters.eNeuro · 2024Article
- Accuracy of dipole source reconstruction in the 3-layer BEM model against the 5-layer BEM-FMM model.bioRxiv : the preprint server for biology · 2024Article
- Comparing the performance of beamformer algorithms in estimating orientations of neural sources.iScience · 2024Article
- Neurobiologically realistic neural network enables cross-scale modeling of neural dynamics.Scientific reports · 2024Article
- Dual-layer electroencephalography data during real-world table tennis.Data in brief · 2024Article
- Global sensitivity of EEG source analysis to tissue conductivity uncertainties.Frontiers in human neuroscience · 2024Article
- A hybrid boundary element-finite element approach for solving the EEG forward problem in brain modeling.Frontiers in systems neuroscience · 2024Article
- Article
- Investigating the effect of template head models on Event-Related Potential source localization: a simulation and real-data study.Frontiers in neuroscience · 2024Article
- A table tennis serve versus rally hit elicits differential hemispheric electrocortical power fluctuations.Journal of neurophysiology · 2023Article
- Electrocortical activity correlated with locomotor adaptation during split-belt treadmill walking.The Journal of physiology · 2023Article
- Article
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4 authors.
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Abstract
Reliable EEG source analysis depends on sufficiently detailed and accurate head models. In this study, we investigate how uncertainties inherent to the experimentally determined conductivity values of the different conductive compartments influence the results of EEG source analysis. In a single source scenario, the superficial and focal somatosensory P20/N20 component, we analyze the influence of varying conductivities on dipole reconstructions using a generalized polynomial chaos (gPC) approach. We find that in particular the conductivity uncertainties for skin and skull have a significant influence on the EEG inverse solution, leading to variations in source localization by several centimeters. The conductivity uncertainties for gray and white matter were found to have little influence on the source localization, but a strong influence on the strength and orientation of the reconstructed source, respectively. As the CSF conductivity is most accurately determined of all conductivities in a realistic head model, CSF conductivity uncertainties had a negligible influence on the source reconstruction. This small uncertainty is a further benefit of distinguishing the CSF in realistic volume conductor models.
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