Chaofeng Zhu, Juan Li, Dazhu Wei, Luyan Wu, Yuying Zhang, Huapin Huang, Wanhui Lin
{"title":"Intrinsic brain activity differences in perampanel-responsive and non-responsive drug-resistant epilepsy patients: an EEG microstate analysis.","authors":"Chaofeng Zhu, Juan Li, Dazhu Wei, Luyan Wu, Yuying Zhang, Huapin Huang, Wanhui Lin","doi":"10.1177/17562864241227293","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Drug-resistant epilepsy (DRE) patients exhibit aberrant large-scale brain networks. Perampanel may be a therapeutic option for controlling seizures in these patients.</p><p><strong>Objective: </strong>We aim to explore the differences of resting-state electroencephalogram (EEG) microstate in perampanel-responsive and non-responsive DRE patients.</p><p><strong>Design: </strong>Retrospective study.</p><p><strong>Methods: </strong>Clinical data were collected from DRE patients who received perampanel treatment at the Fujian Medical University Union Hospital from June 2020 to September 2021, with a minimum follow-up of 6 months. Patients were classified into three groups based on the extent of reduction in seizure frequency: non-responsive (seizure reduction <50%), responsive (seizure reduction >50% but not seizure-free), and seizure-free. Resting-state EEG data sets of all participants were subjected to EEG microstate analysis. The study comprehensively compared the mean duration, frequency per second, and temporal coverage of each microstate among the three groups.</p><p><strong>Results: </strong>A total of 76 perampanel-treated DRE patients were categorized into three groups based on their response to treatment: non-responsive (<i>n</i> = 20), responsive (<i>n</i> = 36), and seizure-free (<i>n</i> = 20), according to the degree of seizure frequency reduction. The results of EEG microstate analysis revealed no statistically significant distinctions in frequency, duration, and coverage of microstate D in these DRE patients. However, the seizure-free group showed significantly increased duration and coverage of microstate A, frequency and coverage of microstate B, and significantly decreased duration, frequency, and coverage of microstate C when compared with the other groups.</p><p><strong>Conclusion: </strong>Microstate A, B, and D is associated with the sensorimotor network, visual network, salience network, and attention network, respectively. This study demonstrates statistically significant differences in the sensorimotor, visual, and salience networks, but not in the attention network, between perampanel-responsive and non-responsive DRE patients.</p>","PeriodicalId":4,"journal":{"name":"ACS Applied Energy Materials","volume":null,"pages":null},"PeriodicalIF":5.4000,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10829497/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Energy Materials","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/17562864241227293","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Drug-resistant epilepsy (DRE) patients exhibit aberrant large-scale brain networks. Perampanel may be a therapeutic option for controlling seizures in these patients.
Objective: We aim to explore the differences of resting-state electroencephalogram (EEG) microstate in perampanel-responsive and non-responsive DRE patients.
Design: Retrospective study.
Methods: Clinical data were collected from DRE patients who received perampanel treatment at the Fujian Medical University Union Hospital from June 2020 to September 2021, with a minimum follow-up of 6 months. Patients were classified into three groups based on the extent of reduction in seizure frequency: non-responsive (seizure reduction <50%), responsive (seizure reduction >50% but not seizure-free), and seizure-free. Resting-state EEG data sets of all participants were subjected to EEG microstate analysis. The study comprehensively compared the mean duration, frequency per second, and temporal coverage of each microstate among the three groups.
Results: A total of 76 perampanel-treated DRE patients were categorized into three groups based on their response to treatment: non-responsive (n = 20), responsive (n = 36), and seizure-free (n = 20), according to the degree of seizure frequency reduction. The results of EEG microstate analysis revealed no statistically significant distinctions in frequency, duration, and coverage of microstate D in these DRE patients. However, the seizure-free group showed significantly increased duration and coverage of microstate A, frequency and coverage of microstate B, and significantly decreased duration, frequency, and coverage of microstate C when compared with the other groups.
Conclusion: Microstate A, B, and D is associated with the sensorimotor network, visual network, salience network, and attention network, respectively. This study demonstrates statistically significant differences in the sensorimotor, visual, and salience networks, but not in the attention network, between perampanel-responsive and non-responsive DRE patients.
背景:耐药性癫痫(DRE)患者表现出异常的大规模大脑网络。佩兰帕奈可能是控制这些患者癫痫发作的一种治疗选择:目的:我们旨在探索对培南帕尼有反应和无反应的 DRE 患者静息态脑电图(EEG)微状态的差异:设计:回顾性研究:收集2020年6月至2021年9月在福建医科大学附属协和医院接受培南治疗的DRE患者的临床资料,随访至少6个月。根据癫痫发作频率的减少程度将患者分为三组:无应答组(癫痫发作减少 50%,但未达到无发作)和无发作组。对所有参与者的静息态脑电图数据集进行了脑电图微状态分析。研究全面比较了三个组别中每个微状态的平均持续时间、每秒频率和时间覆盖范围:根据患者对治疗的反应,共将76名接受过perampanel治疗的DRE患者分为三组:无反应组(20人)、有反应组(36人)和无发作组(20人)。脑电图微状态分析结果显示,这些 DRE 患者在微状态 D 的频率、持续时间和覆盖范围方面没有明显的统计学差异。然而,与其他组相比,无癫痫发作组的微状态 A 的持续时间和覆盖范围、微状态 B 的频率和覆盖范围明显增加,而微状态 C 的持续时间、频率和覆盖范围则明显减少:结论:微状态 A、B 和 D 分别与感觉运动网络、视觉网络、显著性网络和注意力网络有关。本研究表明,对培南有反应和对培南无反应的眩晕症患者在感觉运动网络、视觉网络和显著性网络方面存在统计学意义上的显著差异,但在注意力网络方面没有差异。
期刊介绍:
ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.