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Identification of the epileptogenic zone of temporal lobe epilepsy from stereo-electroencephalography signals: A phase transfer entropy and graph theory approach

The aim of this research is to apply an approach based on phase transfer entropy (PTE) and graph theory to study the interactions between the stereo-electroencephalography (SEEG) activities recorded in multilobar origin, in order to evaluate their ability to detect the epileptogenic zone (EZ) of tem...

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Autores principales: Wang, Meng-yang, Wang, Jing, Zhou, Jian, Guan, Yu-guang, Zhai, Feng, Liu, Chang-qing, Xu, Fei-fei, Han, Yi-xian, Yan, Zhao-fen, Luan, Guo-ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5542420/
https://www.ncbi.nlm.nih.gov/pubmed/28794979
http://dx.doi.org/10.1016/j.nicl.2017.07.022
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author Wang, Meng-yang
Wang, Jing
Zhou, Jian
Guan, Yu-guang
Zhai, Feng
Liu, Chang-qing
Xu, Fei-fei
Han, Yi-xian
Yan, Zhao-fen
Luan, Guo-ming
author_facet Wang, Meng-yang
Wang, Jing
Zhou, Jian
Guan, Yu-guang
Zhai, Feng
Liu, Chang-qing
Xu, Fei-fei
Han, Yi-xian
Yan, Zhao-fen
Luan, Guo-ming
author_sort Wang, Meng-yang
collection PubMed
description The aim of this research is to apply an approach based on phase transfer entropy (PTE) and graph theory to study the interactions between the stereo-electroencephalography (SEEG) activities recorded in multilobar origin, in order to evaluate their ability to detect the epileptogenic zone (EZ) of temporal lobe epilepsies (TLE). Forty-three patients were included in this retrospective study. Five to sixteen (median = 12) multilead electrodes were implanted per patient, and, for each patient, a sub-set of between 10 and 32 (median = 22) bipolar derivations was selected for analysis. The leads were classified into the onset leads (OLs), the early propagation leads (EPLs), and the rest of the leads (RLs). The results showed that a significantly different dynamic trend of the out/in ratio (more obvious in the gamma band) distinguishes the OLs from RLs in the 23 patients who were seizure-free not only during the ictal event (significant elevation), but also during the inter-,pre-, late-ictal periods, and especially in the post-ictal (sharp decline) state. However, in the 20 patients who were not-seizure-free, the differences between the OLs and RLs during the post-ictal period were not found in any frequency band. The dynamic trend was used to predict surgical outcome, and the results showed that the sensitivity was 91% and the specificity was 70%. In brief, this study indicates that our approach may add new and valuable information, providing efficient quantitative measures useful for localizing the EZ.
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spelling pubmed-55424202017-08-09 Identification of the epileptogenic zone of temporal lobe epilepsy from stereo-electroencephalography signals: A phase transfer entropy and graph theory approach Wang, Meng-yang Wang, Jing Zhou, Jian Guan, Yu-guang Zhai, Feng Liu, Chang-qing Xu, Fei-fei Han, Yi-xian Yan, Zhao-fen Luan, Guo-ming Neuroimage Clin Regular Article The aim of this research is to apply an approach based on phase transfer entropy (PTE) and graph theory to study the interactions between the stereo-electroencephalography (SEEG) activities recorded in multilobar origin, in order to evaluate their ability to detect the epileptogenic zone (EZ) of temporal lobe epilepsies (TLE). Forty-three patients were included in this retrospective study. Five to sixteen (median = 12) multilead electrodes were implanted per patient, and, for each patient, a sub-set of between 10 and 32 (median = 22) bipolar derivations was selected for analysis. The leads were classified into the onset leads (OLs), the early propagation leads (EPLs), and the rest of the leads (RLs). The results showed that a significantly different dynamic trend of the out/in ratio (more obvious in the gamma band) distinguishes the OLs from RLs in the 23 patients who were seizure-free not only during the ictal event (significant elevation), but also during the inter-,pre-, late-ictal periods, and especially in the post-ictal (sharp decline) state. However, in the 20 patients who were not-seizure-free, the differences between the OLs and RLs during the post-ictal period were not found in any frequency band. The dynamic trend was used to predict surgical outcome, and the results showed that the sensitivity was 91% and the specificity was 70%. In brief, this study indicates that our approach may add new and valuable information, providing efficient quantitative measures useful for localizing the EZ. Elsevier 2017-07-24 /pmc/articles/PMC5542420/ /pubmed/28794979 http://dx.doi.org/10.1016/j.nicl.2017.07.022 Text en © 2017 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Regular Article
Wang, Meng-yang
Wang, Jing
Zhou, Jian
Guan, Yu-guang
Zhai, Feng
Liu, Chang-qing
Xu, Fei-fei
Han, Yi-xian
Yan, Zhao-fen
Luan, Guo-ming
Identification of the epileptogenic zone of temporal lobe epilepsy from stereo-electroencephalography signals: A phase transfer entropy and graph theory approach
title Identification of the epileptogenic zone of temporal lobe epilepsy from stereo-electroencephalography signals: A phase transfer entropy and graph theory approach
title_full Identification of the epileptogenic zone of temporal lobe epilepsy from stereo-electroencephalography signals: A phase transfer entropy and graph theory approach
title_fullStr Identification of the epileptogenic zone of temporal lobe epilepsy from stereo-electroencephalography signals: A phase transfer entropy and graph theory approach
title_full_unstemmed Identification of the epileptogenic zone of temporal lobe epilepsy from stereo-electroencephalography signals: A phase transfer entropy and graph theory approach
title_short Identification of the epileptogenic zone of temporal lobe epilepsy from stereo-electroencephalography signals: A phase transfer entropy and graph theory approach
title_sort identification of the epileptogenic zone of temporal lobe epilepsy from stereo-electroencephalography signals: a phase transfer entropy and graph theory approach
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5542420/
https://www.ncbi.nlm.nih.gov/pubmed/28794979
http://dx.doi.org/10.1016/j.nicl.2017.07.022
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