A novel bounded EIT protocol to generate inhomogeneous skull conductivity maps non-invasively

Author(s):  
Mariano Fernandez-Corazza ◽  
Sergei Turovets ◽  
Carlos H. Muravchik
Keyword(s):  
2006 ◽  
Vol 89 (22) ◽  
pp. 223903 ◽  
Author(s):  
Yingchun Zhang ◽  
Wim van Drongelen ◽  
Bin He

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Gang Wang ◽  
Doutian Ren

The goal of this study was to investigate the influence of the brain-to-skull conductivity ratio (BSCR) on EEG source localization accuracy. In this study, we evaluated four BSCRs: 15, 20, 25, and 80, which were mainly discussed according to the literature. The scalp EEG signals were generated by BSCR-related forward computation for each cortical dipole source. Then, for each scalp EEG measurement, the source reconstruction was performed to identify the estimated dipole sources by the actual BSCR and the misspecified BSCRs. The estimated dipole sources were compared with the simulated dipole sources to evaluate EEG source localization accuracy. In the case of considering noise-free EEG measurements, the mean localization errors were approximately equal to zero when using actual BSCR. The misspecified BSCRs resulted in substantial localization errors which ranged from 2 to 16 mm. When considering noise-contaminated EEG measurements, the mean localization errors ranged from 8 to 18 mm despite the BSCRs used in the inverse calculation. The present results suggest that the localization accuracy is sensitive to the BSCR in EEG source reconstruction, and the source activity can be accurately localized when the actual BSCR and the EEG scalp signals with high signal-to-noise ratio (SNR) are used.


NeuroImage ◽  
2014 ◽  
Vol 96 ◽  
pp. 73-80 ◽  
Author(s):  
Maryam Odabaee ◽  
Anton Tokariev ◽  
Siamak Layeghy ◽  
Mostefa Mesbah ◽  
Paul B. Colditz ◽  
...  
Keyword(s):  

2021 ◽  
Author(s):  
Frank Neugebauer ◽  
Marios Antonakakis ◽  
Kanjana Unnwongse ◽  
Yaroslav Parpaley ◽  
Jörg Wellmer ◽  
...  

AbstractMEG and EEG source analysis is frequently used for the presurgical evaluation of pharma-coresistant epilepsy patients. The source localization of the epileptogenic zone depends, among other aspects, on the selected inverse and forward approaches and their respective parameter choices. In this validation study, we compare for the inverse problem the standard dipole scanning method with two beamformer approaches and we investigate the influence of the covariance estimation method and the strength of regularization on the localization performance for EEG, MEG and combined EEG and MEG. For forward modeling, we investigate the difference between calibrated six-compartment and standard three-compartment head modeling. In a retrospective study of two patients with focal epilepsy due to focal cortical dysplasia type IIb and seizure-freedom following lesionectomy or radiofrequency-guided thermocoagulation, we used the distance of the localization of interictal epileptic spikes to the resection cavity resp. rediofrequency lesion as reference for good localization. We found that beamformer localization can be sensitive to the choice of the regularization parameter, which has to be individually optimized. Estimation of the covariance matrix with averaged spike data yielded more robust results across the modalities. MEG was the dominant modality and provided a good localization in one case, while it was EEG for the other. When combining the modalities, the good results of the dominant modality were mostly not spoiled by the weaker modality. For appropriate regularization parameter choices, the beamformer localized better than the standard dipole scan. Compared to the importance of an appropriate regularization, the sensitivity of the localization to the head modeling was smaller, due to similar skull conductivity modeling and the fixed source space without orientation constraint.


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