File
Authors
Oguri, Masayoshi Department of Medical Technology, Kagawa Prefectural University of Health Sciences Researchers DB
Okanishi, Tohru Division of Child Neurology, Faculty of Medicine, Institute of Neurological Sciences, Tottori University / Department of Child Neurology, Seirei-Hamamatsu General Hospital Researchers DB KAKEN
kanai, Sotaro Division of Child Neurology, Faculty of Medicine, Institute of Neurological Sciences, Tottori University / Department of Child Neurology, Seirei-Hamamatsu General Hospital
Baba, Shimpei Department of Child Neurology, Seirei-Hamamatsu General Hospital
Nishimura, Mitsuyo Department of Clinical Laboratory, University of Tsukuba Hospital
Ogo, Kaoru Department of Medical Technology, Kagawa Prefectural University of Health Sciences
Himoto, Takashi Department of Medical Technology, Kagawa Prefectural University of Health Sciences
Okanari, Kazuo Department of Pediatrics, Faculty of Medicine, Oita University
Maegaki, Yoshihiro Division of Child Neurology, Faculty of Medicine, Institute of Neurological Sciences, Tottori University Researchers DB KAKEN
Enoki, Hideo Department of Child Neurology, Seirei-Hamamatsu General Hospital
Fujimoto, Ayataka Comprehensive Epilepsy Center, Seirei-Hamamatsu General Hospital
Keywords
corpus callosotomy
cross-frequency analysis
electroencephaloagraphy (EEG)
epileptic spasms (ES)
phase lag analysis
computer analysis
pre-surgical evaluation of epilepsy
Abstract
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.
Publisher
Frontiers Media
Content Type
Journal Article
Link
ISSN
16642295
Journal Title
FRONTIERS IN NEUROLOGY
Current Journal Title
FRONTIERS IN NEUROLOGY
Volume
11
Published Date
2020-12-15
Publisher-DOI
Text Version
Publisher
Rights
(C)2020 Oguri, Okanishi, Kanai, Baba, Nishimura, Ogo, Himoto, Okanari, Maegaki, Enoki and Fujimoto. 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.
Citation
Oguri Masayoshi, Okanishi Tohru, Kanai Sotaro, et al. Phase Lag Analyses on Ictal Scalp Electroencephalography May Predict Outcomes of Corpus Callosotomy for Epileptic Spasms. FRONTIERS IN NEUROLOGY. 2020. 11. doi:10.3389/fneur.2020.576087
Department
Faculty of Medicine/Graduate School of Medical Sciences/University Hospital
Language
English
Web of Science Key ut
WOS:000603003800001