Patient-Specific Sensor Registration for Electrical Source Imaging Using a Deformable Head Model

2021 ◽  
Vol 68 (1) ◽  
pp. 267-275
Author(s):  
Lyubomir Zagorchev ◽  
Matthias Brueck ◽  
Nick Flaschner ◽  
Fabian Wenzel ◽  
Damon Hyde ◽  
...  
Keyword(s):  
Patient Specific ◽  
Head Model ◽  
Source Imaging ◽  
Sensor Registration ◽  
Electrical Source

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 ◽  
...  
Keyword(s):  
Head Model ◽  
Source Imaging ◽  
Epileptic Patients ◽  
Electrical Source

EEG Source Imaging (ESI) utility in clinical practice

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 ◽  
...  
Keyword(s):  
Focal Epilepsy ◽  
Cost Effective ◽  
Head Model ◽  
Computational Technique ◽  
Epileptogenic Zone ◽  
Clinical Tool ◽  
Source Imaging ◽  
Localization Accuracy ◽  
Eeg Source Imaging ◽  
Surgical Evaluation

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.

LOW DENSITY ELECTRICAL SOURCE IMAGING OF THE ICTAL ONSET ZONE IN THE SURGICAL EVALUATION OF CHILDREN WITH EPILEPSY

2021 ◽  
pp. 106810
Author(s):  
Arun Thurairajah ◽  
Alexander Freibauer ◽  
Rajesh RamachandranNair ◽  
Robyn Whitney ◽  
Puneet Jain ◽  
...  
Keyword(s):  
Low Density ◽  
Source Imaging ◽  
Surgical Evaluation ◽  
Electrical Source

scholarly journals Influence of Patient-Specific Head Modeling on EEG Source Imaging

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Yohan Céspedes-Villar ◽  
Juan David Martinez-Vargas ◽  
G. Castellanos-Dominguez
Keyword(s):  
Neurological Diseases ◽  
Structural Data ◽  
Problem Formulation ◽  
Patient Specific ◽  
Source Imaging ◽  
Eeg Source Imaging ◽  
Deep Sources ◽  
The Individual ◽  
Tissue Compartments ◽  
The Brain

Electromagnetic source imaging (ESI) techniques have become one of the most common alternatives for understanding cognitive processes in the human brain and for guiding possible therapies for neurological diseases. However, ESI accuracy strongly depends on the forward model capabilities to accurately describe the subject’s head anatomy from the available structural data. Attempting to improve the ESI performance, we enhance the brain structure model within the individual-defined forward problem formulation, combining the head geometry complexity of the modeled tissue compartments and the prior knowledge of the brain tissue morphology. We validate the proposed methodology using 25 subjects, from which a set of magnetic-resonance imaging scans is acquired, extracting the anatomical priors and an electroencephalography signal set needed for validating the ESI scenarios. Obtained results confirm that incorporating patient-specific head models enhances the performed accuracy and improves the localization of focal and deep sources.

Advances in EEG: home video telemetry, high frequency oscillations and electrical source imaging

2016 ◽  
Vol 263 (10) ◽  
pp. 2139-2144 ◽  
Author(s):  
Anjla C. Patel ◽  
Rachel C. Thornton ◽  
Tejal N. Mitchell ◽  
Andrew W. Michell
Keyword(s):  
High Frequency ◽  
Source Imaging ◽  
Home Video ◽  
High Frequency Oscillations ◽  
Electrical Source

Cortical Dipole Imaging of Movement-related Potentials by Means of Parametric Inverse Filters Incorporating with Signal and Noise Covariance

2007 ◽  
Vol 46 (02) ◽  
pp. 242-246 ◽  
Author(s):  
T. Miwa ◽  
T. Ohshima ◽  
B. He ◽  
J. Hori
Keyword(s):  
Tikhonov Regularization ◽  
Premotor Cortex ◽  
Dipole Source ◽  
Head Model ◽  
Spatial Filters ◽  
Source Imaging ◽  
Dipole Layer ◽  
Imaging Results ◽  
Related Potentials ◽  
Noise Covariance

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.

Electrical Source Imaging in Rats: Cortical EEG Performance and Limitations

2018 ◽  
Author(s):  
Vlastimil Koudelka ◽  
Stanislav Jiricek ◽  
Vaclava Piorecka ◽  
Cestmir Vejmola ◽  
Tomas Palenicek ◽  
...  
Keyword(s):  
Source Imaging ◽  
Electrical Source

A Comparison of Independent Component Analysis (ICA) of fMRI and Electrical Source Imaging (ESI) in Focal Epilepsy Reveals Misclassification Using a Classifier

2015 ◽  
Vol 28 (6) ◽  
pp. 813-831 ◽  
Author(s):  
Danilo Maziero ◽  
Marcio Sturzbecher ◽  
Tonicarlo Rodrigues Velasco ◽  
Carlo Rondinoni ◽  
Agustin Lage Castellanos ◽  
...  
Keyword(s):  
Independent Component Analysis ◽  
Focal Epilepsy ◽  
Component Analysis ◽  
Independent Component ◽  
Source Imaging ◽  
Electrical Source
Sign in / Sign up

Export Citation Format

Share Document