scholarly journals Head model and electrical source imaging: A study of 38 epileptic patients

2014 ◽  
Vol 5 ◽  
pp. 77-83 ◽  
Author(s):  
Gwénael Birot ◽  
Laurent Spinelli ◽  
Serge Vulliémoz ◽  
Pierre Mégevand ◽  
Denis Brunet ◽  
...  
2021 ◽  
Vol 68 (1) ◽  
pp. 267-275
Author(s):  
Lyubomir Zagorchev ◽  
Matthias Brueck ◽  
Nick Flaschner ◽  
Fabian Wenzel ◽  
Damon Hyde ◽  
...  

2013 ◽  
Vol 124 (12) ◽  
pp. 2336-2344 ◽  
Author(s):  
Alessandra Del Felice ◽  
Chiara Arcaro ◽  
Silvia Francesca Storti ◽  
Antonio Fiaschi ◽  
Paolo Manganotti

2020 ◽  
Vol 65 (6) ◽  
pp. 673-682
Author(s):  
Pegah Khosropanah ◽  
Eric Tatt-Wei Ho ◽  
Kheng-Seang Lim ◽  
Si-Lei Fong ◽  
Minh-An Thuy Le ◽  
...  

AbstractEpilepsy surgery is an important treatment modality for medically refractory focal epilepsy. The outcome of surgery usually depends on the localization accuracy of the epileptogenic zone (EZ) during pre-surgical evaluation. Good localization can be achieved with various electrophysiological and neuroimaging approaches. However, each approach has its own merits and limitations. Electroencephalography (EEG) Source Imaging (ESI) is an emerging model-based computational technique to localize cortical sources of electrical activity within the brain volume, three-dimensionally. ESI based pre-surgical evaluation gives an overall clinical yield of 73–91%, depending on choice of head model, inverse solution and EEG electrode density. It is a cost effective, non-invasive method which provides valuable additional information in presurgical evaluation due to its high localizing value specifically in MRI-negative cases, extra or basal temporal lobe epilepsy, multifocal lesions such as tuberous sclerosis or cases with multiple hypotheses. Unfortunately, less than 1% of surgical centers in developing countries use this method as a part of pre-surgical evaluation. This review promotes ESI as a useful clinical tool especially for patients with lesion-negative MRI to determine EZ cost-effectively with high accuracy under the optimized conditions.


2021 ◽  
pp. 106810
Author(s):  
Arun Thurairajah ◽  
Alexander Freibauer ◽  
Rajesh RamachandranNair ◽  
Robyn Whitney ◽  
Puneet Jain ◽  
...  

2016 ◽  
Vol 263 (10) ◽  
pp. 2139-2144 ◽  
Author(s):  
Anjla C. Patel ◽  
Rachel C. Thornton ◽  
Tejal N. Mitchell ◽  
Andrew W. Michell

2007 ◽  
Vol 46 (02) ◽  
pp. 242-246 ◽  
Author(s):  
T. Miwa ◽  
T. Ohshima ◽  
B. He ◽  
J. Hori

Summary Objective : The objective of this study is to explore suitable spatial filters for inverse estimation of cortical equivalent dipole layer imaging from the scalp electroencephalogram. We utilize cortical dipole source imaging to locate the possible generators of scalpmeasured movement-related potentials (MRPs) in human. Methods : The effects of incorporating signal and noise covariance into inverse procedures were examined by computer simulations and experimental study. The parametric projection filter (PPF) and parametric Weiner filter (PWF) were applied to an inhomogeneous threesphere head model under various noise conditions. Results : The present simulation results suggest that the PWF incorporating signal information provides better cortical dipole layer imaging results than the PPF and Tikhonov regularization under the condition of moderate and high correlation between signal and noise distributions. On the other hand, the PPF has better performance than other inverse filters under the condition of low correlation between signal and noise distributions. The proposed methods were applied to self-paced MRPs in order to identify the anatomic substrate locations of neural generators. The dipole layer distributions estimated by means of PPF are well-localized as compared with blurred scalp potential maps and dipole layer distribution estimated by Tikhonov regularization. The proposed methods demonstrated that the contralateral premotor cortex was preponderantly activated in relation to movement performance. Conclusions : In cortical dipole source imaging, the PWF has better performance especiallywhen the correlation between the signal and noise is high. The proposed inverse method was applicable to human experiments of MRPs if the signal and noise covariances were obtained.


Author(s):  
Vlastimil Koudelka ◽  
Stanislav Jiricek ◽  
Vaclava Piorecka ◽  
Cestmir Vejmola ◽  
Tomas Palenicek ◽  
...  

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