Literature DB >> 16996795

Automatic lateralization of temporal lobe epilepsy based on scalp EEG.

M Caparos1, V Louis-Dorr, F Wendling, L Maillard, D Wolf.   

Abstract

OBJECTIVE: The objective of this work is the determination of the lateralization of the epileptic seizure onset zone using the scalp EEG signal processing.
METHODS: A comprehensive method based on the evaluation of the evolution of the correlation coefficients computed between bipolar channels (longitudinal montage) was applied to 43 patients (87 seizures). The correlation coefficients are estimated by a nonlinear regression analysis. The methodology that leads to the lateralization is based on several processing steps: segmentation, seizure onset determination and then lateralization.
RESULTS: Results show that the mean level of the nonlinear correlation values computed between EEG channels at the seizure onset time is significantly higher on the side of the beginning of a seizure.
CONCLUSIONS: The side of the seizure onset was determined for about 80-90% of the seizures studied with a satisfactory high reproducibility level. SIGNIFICANCE: Comparison of nonlinear correlation coefficients between both sides of the brain leads to the determination of the side of seizure onset.

Entities:  

Mesh:

Year:  2006        PMID: 16996795     DOI: 10.1016/j.clinph.2006.07.305

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  4 in total

1.  EEGNET: An Open Source Tool for Analyzing and Visualizing M/EEG Connectome.

Authors:  Mahmoud Hassan; Mohamad Shamas; Mohamad Khalil; Wassim El Falou; Fabrice Wendling
Journal:  PLoS One       Date:  2015-09-17       Impact factor: 3.240

2.  Computational modelling in source space from scalp EEG to inform presurgical evaluation of epilepsy.

Authors:  Marinho A Lopes; Leandro Junges; Luke Tait; John R Terry; Eugenio Abela; Mark P Richardson; Marc Goodfellow
Journal:  Clin Neurophysiol       Date:  2019-11-22       Impact factor: 3.708

3.  Assessment of Effective Network Connectivity among MEG None Contaminated Epileptic Transitory Events.

Authors:  Abir Hadriche; Ichrak Behy; Amal Necibi; Abdennaceur Kachouri; Chokri Ben Amar; Nawel Jmail
Journal:  Comput Math Methods Med       Date:  2021-12-28       Impact factor: 2.238

Review 4.  Spatial analysis of intracerebral electroencephalographic signals in the time and frequency domain: identification of epileptogenic networks in partial epilepsy.

Authors:  Fabrice Wendling; Fabrice Bartolomei; Lotfi Senhadji
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2009-01-28       Impact factor: 4.226

  4 in total

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