Network excitability of stimulation-induced spectral responses helps localize the seizure onset zone

IF 3.7 3区 医学 Q1 CLINICAL NEUROLOGY Clinical Neurophysiology Pub Date : 2024-07-24 DOI:10.1016/j.clinph.2024.07.010
{"title":"Network excitability of stimulation-induced spectral responses helps localize the seizure onset zone","authors":"","doi":"10.1016/j.clinph.2024.07.010","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><p>While evoked potentials elicited by single pulse electrical stimulation (SPES) may assist seizure onset zone (SOZ) localization during intracranial EEG (iEEG) monitoring, induced high frequency activity has also shown promising utility. We aimed to predict SOZ sites using induced cortico-cortical spectral responses (CCSRs) as an index of excitability within epileptogenic networks.</p></div><div><h3>Methods</h3><p>SPES was conducted in 27 epilepsy patients undergoing iEEG monitoring and CCSRs were quantified by significant early (10–200 ms) increases in power from 10 to 250 Hz. Using response power as CCSR network connection strengths, graph centrality measures (metrics quantifying each site’s influence within the network) were used to predict whether sites were within the SOZ.</p></div><div><h3>Results</h3><p>Across patients with successful surgical outcomes, greater CCSR centrality predicted SOZ sites and SOZ sites targeted for surgical treatment with median AUCs of 0.85 and 0.91, respectively. We found that the alignment between predicted and targeted SOZ sites predicted surgical outcome with an AUC of 0.79.</p></div><div><h3>Conclusions</h3><p>These findings indicate that network analysis of CCSRs can be used to identify increased excitability of SOZ sites and discriminate important surgical targets within the SOZ.</p></div><div><h3>Significance</h3><p>CCSRs may supplement traditional passive iEEG monitoring in seizure localization, potentially reducing the need for recording numerous seizures.</p></div>","PeriodicalId":10671,"journal":{"name":"Clinical Neurophysiology","volume":null,"pages":null},"PeriodicalIF":3.7000,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Neurophysiology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1388245724002104","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Objective

While evoked potentials elicited by single pulse electrical stimulation (SPES) may assist seizure onset zone (SOZ) localization during intracranial EEG (iEEG) monitoring, induced high frequency activity has also shown promising utility. We aimed to predict SOZ sites using induced cortico-cortical spectral responses (CCSRs) as an index of excitability within epileptogenic networks.

Methods

SPES was conducted in 27 epilepsy patients undergoing iEEG monitoring and CCSRs were quantified by significant early (10–200 ms) increases in power from 10 to 250 Hz. Using response power as CCSR network connection strengths, graph centrality measures (metrics quantifying each site’s influence within the network) were used to predict whether sites were within the SOZ.

Results

Across patients with successful surgical outcomes, greater CCSR centrality predicted SOZ sites and SOZ sites targeted for surgical treatment with median AUCs of 0.85 and 0.91, respectively. We found that the alignment between predicted and targeted SOZ sites predicted surgical outcome with an AUC of 0.79.

Conclusions

These findings indicate that network analysis of CCSRs can be used to identify increased excitability of SOZ sites and discriminate important surgical targets within the SOZ.

Significance

CCSRs may supplement traditional passive iEEG monitoring in seizure localization, potentially reducing the need for recording numerous seizures.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
刺激诱发频谱反应的网络兴奋性有助于定位癫痫发作起始区
在颅内脑电图(iEEG)监测过程中,单脉冲电刺激(SPES)诱发的电位可能有助于癫痫发作起始区(SOZ)的定位,而诱导的高频活动也显示出了良好的效用。我们的目标是利用诱导皮质-皮质频谱反应(CCSR)作为致痫网络内的兴奋性指标来预测 SOZ 的位置。我们对 27 名接受 iEEG 监测的癫痫患者进行了 SPES,并通过 10-250 Hz 早期(10-200 毫秒)功率的显著增加对 CCSR 进行了量化。利用反应功率作为 CCSR 网络连接强度,图中心度量(量化网络中每个站点影响力的指标)被用来预测站点是否在 SOZ 内。在手术成功的患者中,CCSR 中心性越高,预测的 SOZ 位点和手术治疗目标 SOZ 位点的中位 AUC 分别为 0.85 和 0.91。我们发现,预测的 SOZ 位点和目标 SOZ 位点之间的配准可预测手术结果,AUC 为 0.79。这些研究结果表明,CCSRs 网络分析可用于识别兴奋性增高的 SOZ 位点,并区分 SOZ 内的重要手术目标。在癫痫发作定位中,CCSR 可作为传统被动 iEEG 监测的补充,从而减少记录大量癫痫发作的需要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Clinical Neurophysiology
Clinical Neurophysiology 医学-临床神经学
CiteScore
8.70
自引率
6.40%
发文量
932
审稿时长
59 days
期刊介绍: As of January 1999, The journal Electroencephalography and Clinical Neurophysiology, and its two sections Electromyography and Motor Control and Evoked Potentials have amalgamated to become this journal - Clinical Neurophysiology. Clinical Neurophysiology is the official journal of the International Federation of Clinical Neurophysiology, the Brazilian Society of Clinical Neurophysiology, the Czech Society of Clinical Neurophysiology, the Italian Clinical Neurophysiology Society and the International Society of Intraoperative Neurophysiology.The journal is dedicated to fostering research and disseminating information on all aspects of both normal and abnormal functioning of the nervous system. The key aim of the publication is to disseminate scholarly reports on the pathophysiology underlying diseases of the central and peripheral nervous system of human patients. Clinical trials that use neurophysiological measures to document change are encouraged, as are manuscripts reporting data on integrated neuroimaging of central nervous function including, but not limited to, functional MRI, MEG, EEG, PET and other neuroimaging modalities.
期刊最新文献
Editorial Board Infant sleep spindle measures from EEG improve prediction of cerebral palsy Insights into EEG dynamics and network changes preceding dream enactment behaviors in REM sleep behavior disorder The effect of common parameters of bipolar stimulation on brain evoked potentials Determining predictive value of intraoperative electroencephalography changes for delirium development after cardiovascular surgeries
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1