Temporal stability of intracranial electroencephalographic abnormality maps for localizing epileptogenic tissue

Author:

Wang Yujiang123,Schroeder Gabrielle M.1ORCID,Horsley Jonathan J.1,Panagiotopoulou Mariella1,Chowdhury Fahmida A.3,Diehl Beate3ORCID,Duncan John S.3,McEvoy Andrew W.3,Miserocchi Anna3,de Tisi Jane3,Taylor Peter N.123ORCID

Affiliation:

1. CNNP Lab, Interdisciplinary Computing and Complex BioSystems Group, School of Computing Newcastle University Newcastle Upon Tyne UK

2. Faculty of Medical Sciences Newcastle University Newcastle Upon Tyne UK

3. UCL Queen Square Institute of Neurology Queen Square London UK

Abstract

AbstractObjectiveIdentifying abnormalities on interictal intracranial electroencephalogram (iEEG), by comparing patient data to a normative map, has shown promise for the localization of epileptogenic tissue and prediction of outcome. The approach typically uses short interictal segments of approximately 1 min. However, the temporal stability of findings has not been established.MethodsHere, we generated a normative map of iEEG in nonpathological brain tissue from 249 patients. We computed regional band power abnormalities in a separate cohort of 39 patients for the duration of their monitoring period (.92–8.62 days of iEEG data, mean = 4.58 days per patient, >4800 hours recording). To assess the localizing value of band power abnormality, we computed —a measure of how different the surgically resected and spared tissue was in terms of band power abnormalities—over time.ResultsIn each patient, the value was relatively consistent over time. The median of the entire recording period separated seizure‐free (International League Against Epilepsy [ILAE] = 1) and not‐seizure‐free (ILAE 1) patients well (area under the curve [AUC] = .69). This effect was similar interictally (AUC = .69) and peri‐ictally (AUC = .71).SignificanceOur results suggest that band power abnormality D_RS, as a predictor of outcomes from epilepsy surgery, is a relatively robust metric over time. These findings add further support for abnormality mapping of neurophysiology data during presurgical evaluation.

Funder

Engineering and Physical Sciences Research Council

Epilepsy Research UK

National Institute of Neurological Disorders and Stroke

UK Research and Innovation

Publisher

Wiley

Subject

Neurology (clinical),Neurology

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3