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Phase Lag Analyses on Ictal Scalp Electroencephalography May Predict Outcomes of Corpus Callosotomy for Epileptic Spasms

Objective: We aimed to clarify the patterns of ictal power and phase lag among bilateral hemispheres on scalp electroencephalography (EEG) recorded pre-operatively during epileptic spasms (ESs) and the correlation with the outcomes following corpus callosotomy. Methods: We enrolled 17 patients who u...

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Autores principales: Oguri, Masayoshi, Okanishi, Tohru, Kanai, Sotaro, Baba, Shimpei, Nishimura, Mitsuyo, Ogo, Kaoru, Himoto, Takashi, Okanari, Kazuo, Maegaki, Yoshihiro, Enoki, Hideo, Fujimoto, Ayataka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7793812/
https://www.ncbi.nlm.nih.gov/pubmed/33424739
http://dx.doi.org/10.3389/fneur.2020.576087
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author Oguri, Masayoshi
Okanishi, Tohru
Kanai, Sotaro
Baba, Shimpei
Nishimura, Mitsuyo
Ogo, Kaoru
Himoto, Takashi
Okanari, Kazuo
Maegaki, Yoshihiro
Enoki, Hideo
Fujimoto, Ayataka
author_facet Oguri, Masayoshi
Okanishi, Tohru
Kanai, Sotaro
Baba, Shimpei
Nishimura, Mitsuyo
Ogo, Kaoru
Himoto, Takashi
Okanari, Kazuo
Maegaki, Yoshihiro
Enoki, Hideo
Fujimoto, Ayataka
author_sort Oguri, Masayoshi
collection PubMed
description Objective: We aimed to clarify the patterns of ictal power and phase lag among bilateral hemispheres on scalp electroencephalography (EEG) recorded pre-operatively during epileptic spasms (ESs) and the correlation with the outcomes following corpus callosotomy. Methods: We enrolled 17 patients who underwent corpus callosotomy for ESs before 20 years of age. After corpus callosotomy, seven patients did not experience further ESs (favorable outcome group), and the remaining 10 patients had ongoing ESs (unfavorable outcome group). We used pre-operative scalp EEG data from monopolar montages using the average reference. The relative power spectrum (PS), ictal power laterality (IPL) among the hemispheres, and phase lag, calculated by the cross-power spectrum (CPS) among symmetrical electrodes (i.e., F3 and F4), were analyzed in the EEG data of ESs from 143 pre-operative scalp video-EEG records. Analyses were conducted separately in each frequency band from the delta, theta, alpha, beta, and gamma range. We compared the means of those data in each patient between favorable and unfavorable outcome groups. Results: Among all frequency bands, no significant differences were seen in the individual mean relative PSs in the favorable and unfavorable outcome group. Although the mean IPLs in each patient tended to be high in the unfavorable outcome group, no significant differences were found. The mean CPSs in the delta, theta, and gamma frequency bands were significantly higher in the unfavorable than in the favorable outcome group. Using the Youden index, the optimal cutoff points of those mean CPS values for unfavorable outcomes were 64.00 in the delta band (sensitivity: 100%, specificity: 80%), 74.20 in the theta band (100, 80%), and 82.05 in the gamma band (100, 80%). Subanalyses indicated that those CPS differences originated from pairs of symmetrical electrodes in the bilateral frontal and temporal areas. Significance: Ictal power and laterality of the ictal power in each frequency band were not associated with the outcomes of CC; however, the phase lags seen in the delta, theta, and gamma frequency bands were larger in the unfavorable than in the favorable outcome group. The phase lags may predict outcomes of CC for ESs on pre-surgical scalp-ictal EEGs.
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spelling pubmed-77938122021-01-09 Phase Lag Analyses on Ictal Scalp Electroencephalography May Predict Outcomes of Corpus Callosotomy for Epileptic Spasms Oguri, Masayoshi Okanishi, Tohru Kanai, Sotaro Baba, Shimpei Nishimura, Mitsuyo Ogo, Kaoru Himoto, Takashi Okanari, Kazuo Maegaki, Yoshihiro Enoki, Hideo Fujimoto, Ayataka Front Neurol Neurology Objective: We aimed to clarify the patterns of ictal power and phase lag among bilateral hemispheres on scalp electroencephalography (EEG) recorded pre-operatively during epileptic spasms (ESs) and the correlation with the outcomes following corpus callosotomy. Methods: We enrolled 17 patients who underwent corpus callosotomy for ESs before 20 years of age. After corpus callosotomy, seven patients did not experience further ESs (favorable outcome group), and the remaining 10 patients had ongoing ESs (unfavorable outcome group). We used pre-operative scalp EEG data from monopolar montages using the average reference. The relative power spectrum (PS), ictal power laterality (IPL) among the hemispheres, and phase lag, calculated by the cross-power spectrum (CPS) among symmetrical electrodes (i.e., F3 and F4), were analyzed in the EEG data of ESs from 143 pre-operative scalp video-EEG records. Analyses were conducted separately in each frequency band from the delta, theta, alpha, beta, and gamma range. We compared the means of those data in each patient between favorable and unfavorable outcome groups. Results: Among all frequency bands, no significant differences were seen in the individual mean relative PSs in the favorable and unfavorable outcome group. Although the mean IPLs in each patient tended to be high in the unfavorable outcome group, no significant differences were found. The mean CPSs in the delta, theta, and gamma frequency bands were significantly higher in the unfavorable than in the favorable outcome group. Using the Youden index, the optimal cutoff points of those mean CPS values for unfavorable outcomes were 64.00 in the delta band (sensitivity: 100%, specificity: 80%), 74.20 in the theta band (100, 80%), and 82.05 in the gamma band (100, 80%). Subanalyses indicated that those CPS differences originated from pairs of symmetrical electrodes in the bilateral frontal and temporal areas. Significance: Ictal power and laterality of the ictal power in each frequency band were not associated with the outcomes of CC; however, the phase lags seen in the delta, theta, and gamma frequency bands were larger in the unfavorable than in the favorable outcome group. The phase lags may predict outcomes of CC for ESs on pre-surgical scalp-ictal EEGs. Frontiers Media S.A. 2020-12-15 /pmc/articles/PMC7793812/ /pubmed/33424739 http://dx.doi.org/10.3389/fneur.2020.576087 Text en Copyright © 2020 Oguri, Okanishi, Kanai, Baba, Nishimura, Ogo, Himoto, Okanari, Maegaki, Enoki and Fujimoto. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neurology
Oguri, Masayoshi
Okanishi, Tohru
Kanai, Sotaro
Baba, Shimpei
Nishimura, Mitsuyo
Ogo, Kaoru
Himoto, Takashi
Okanari, Kazuo
Maegaki, Yoshihiro
Enoki, Hideo
Fujimoto, Ayataka
Phase Lag Analyses on Ictal Scalp Electroencephalography May Predict Outcomes of Corpus Callosotomy for Epileptic Spasms
title Phase Lag Analyses on Ictal Scalp Electroencephalography May Predict Outcomes of Corpus Callosotomy for Epileptic Spasms
title_full Phase Lag Analyses on Ictal Scalp Electroencephalography May Predict Outcomes of Corpus Callosotomy for Epileptic Spasms
title_fullStr Phase Lag Analyses on Ictal Scalp Electroencephalography May Predict Outcomes of Corpus Callosotomy for Epileptic Spasms
title_full_unstemmed Phase Lag Analyses on Ictal Scalp Electroencephalography May Predict Outcomes of Corpus Callosotomy for Epileptic Spasms
title_short Phase Lag Analyses on Ictal Scalp Electroencephalography May Predict Outcomes of Corpus Callosotomy for Epileptic Spasms
title_sort phase lag analyses on ictal scalp electroencephalography may predict outcomes of corpus callosotomy for epileptic spasms
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7793812/
https://www.ncbi.nlm.nih.gov/pubmed/33424739
http://dx.doi.org/10.3389/fneur.2020.576087
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