SBMU Journals
  • 新提交
  • 注册
  • 登录
  • 简体中文
    • English

学术急诊医学档案

  • 家
  • 关于
    • Policies
    • 编辑团队
    • Reviewer guideline
    • 联系方式
  • 问题
    • 最新一期
    • 归档
  • 公告
  • 索引/抽象
  • 对于作者
    • 新提交
    • Author guidelines
    • Article withdrawal
    • Peer review process
    • FAQ
  • 伦理
    • Ethical requirements
    • Plagiarism Policy
    • Authorship conflicts
    • Malpractice statements
    • Copyright Notice
    • Intellectual properties
    • Preprint Policy
    • 隐私声明
    • Artificial intelligence & Authorship
    • Retraction Cosiderations
##plugins.themes.ojsPlusA.frontend.header.advSearch##
  1. 主页
  2. 归档
  3. 卷 14 编号 1 (2026): Continuous volume
  4. Review Article

卷 14 编号 1 (2026)

十月 2025

Electroencephalography (EEG) and Quantitative EEG for Acute Stroke Triage and Post-Reperfusion Monitoring: A Systematic Review

  • Shirwan Hamasalih Omer
  • Sivan Jabbar Alimohammed
  • Mohammed Ibrahim Mohialdeen Gubari

学术急诊医学档案, 卷 14 编号 1 (2026), 1 十月 2025 , 第 e44 页
https://doi.org/10.22037/aaem.v14i1.3044 已出版: 2026-08-24

  • ##plugins.themes.ojsPlusA.frontend.article.viewArticle##
  • 下载
  • ##plugins.themes.ojsPlusA.frontend.article.cite##
  • 参考
  • ##plugins.themes.ojsPlusA.frontend.article.statastics##
  • ##plugins.themes.ojsPlusA.frontend.article.share##

摘要

Introduction: Electroencephalography (EEG) and quantitative EEG (QEEG) are candidate functional biomarkers that may complement clinical examination and imaging for acute ischemic stroke triage and post-reperfusion monitoring. However, diagnostic targets, recording systems, thresholds, and post-treatment monitoring endpoints are heterogeneous. This review aimed to evaluate acute-care EEG applications in ischemic stroke by separately synthesizing evidence on pre-treatment diagnostic triage and post-EVT/MT monitoring. Methods: A systematic search was performed in PubMed, Embase, Scopus, and Web of Science on 4 February 2026, with supplementary backward and forward citation tracking. Eligible studies evaluated EEG, QEEG, processed EEG, visual EEG grading, or EEG-derived physiological markers for acute stroke/transient ischemic attack (TIA) classification, large-vessel occlusion (LVO)/medium-vessel occlusion (MeVO) detection, lesion-related classification, stroke-control/severity classification, or post-endovascular treatment/mechanical thrombectomy (EVT/MT) monitoring. Diagnostic components were interpreted in line with PRISMA 2020 and PRISMA-DTA principles. Risk of bias was assessed using QUADAS-2 for diagnostic/classification evidence and QUIPS-oriented criteria for post-EVT/MT monitoring studies. Results: From 4,796 database records, 3,179 unique records were screened, 51 full texts were assessed, and 15 study records were retained: seven diagnostic/classification studies and eight post-EVT/MT monitoring studies. Acute triage evidence suggested candidate value for EEG/QEEG in acute stroke/TIA or LVO/MeVO identification, with promising individual-study signals for slow-to-fast ratios, hemispheric asymmetry/pdBSI, relative alpha/theta power, and clinical-plus-EEG models. However, devices, settings, target conditions, thresholds, and validation status varied, and no diagnostic domain was poolable. No diagnostic meta-analysis was performed because target conditions, thresholds, reference standards, EEG systems, and intended-use settings were too heterogeneous. Post-EVT/MT monitoring studies suggested candidate value for QEEG slowing/frontal DAR, relative alpha loss, visual EEG grading, NCSE detection, BIS/NIRS, and EEG-TCD NVC in relation to END, edema, seizure-related complications, infarct growth, or functional outcome. Certainty was very low for diagnostic domains and low for post-EVT/MT monitoring. Conclusions: EEG/QEEG is a promising but still investigational adjunct for acute ischemic stroke triage and post-reperfusion monitoring. Current evidence does not support a universal diagnostic threshold, pooled diagnostic accuracy estimate, or stand-alone clinical implementation. Larger intended-use validation studies with complete diagnostic accuracy reporting and externally validated thresholds are required.

关键词:
  • Ischemic stroke
  • electroencephalography
  • quantitative EEG
  • Diagnosis
  • large-vessel occlusion
  • pdf (English)

##submission.howToCite##

1.
Omer SH, Alimohammed SJ, Gubari MIM. Electroencephalography (EEG) and Quantitative EEG for Acute Stroke Triage and Post-Reperfusion Monitoring: A Systematic Review. Arch Acad Emerg Med [网际网络]. 2026年8月24日 [见引于 2026年9月7日];14(1):e44. 载于: https://journals.sbmu.ac.ir/aaem/index.php/AAEM/article/view/3044
  • ##plugins.generic.citationStyleLanguage.style.acm-sig-proceedings##
  • ##plugins.generic.citationStyleLanguage.style.acs-nano##
  • ##plugins.generic.citationStyleLanguage.style.apa##
  • ##plugins.generic.citationStyleLanguage.style.associacao-brasileira-de-normas-tecnicas##
  • ##plugins.generic.citationStyleLanguage.style.chicago-author-date##
  • ##plugins.generic.citationStyleLanguage.style.harvard-cite-them-right##
  • ##plugins.generic.citationStyleLanguage.style.ieee##
  • ##plugins.generic.citationStyleLanguage.style.modern-language-association##
  • ##plugins.generic.citationStyleLanguage.style.turabian-fullnote-bibliography##
  • ##plugins.generic.citationStyleLanguage.style.vancouver##
  • ##plugins.generic.citationStyleLanguage.download.ris##
  • ##plugins.generic.citationStyleLanguage.download.bibtex##

参考

1. GBD Stroke Risk Factor Collaborators. Global, regional, and national burden of stroke and its risk factors, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet Neurol. 2024;23(10):973–1003.

2. Goyal M, Menon BK, van Zwam WH, Dippel DWJ, Mitchell PJ, Demchuk AM. Endovascular thrombectomy after large-vessel ischemic stroke: a meta-analysis of individual patient data from five randomized trials. Lancet. 2016;387(10029):1723–31.

3. Saver JL, Goyal M, van der Lugt A, Menon BK, Majoie C, Dippel DWJ. Time to treatment with endovascular throm-bectomy and outcomes from ischemic stroke: a meta-analysis. JAMA. 2016;316(12):1279–88.

4. Foreman B, Claassen J. Quantitative EEG for the detection of brain ischemia. Crit Care. 2012;16:216.

5. Finnigan S, van Putten M. EEG in ischemic stroke: quanti-tative EEG can uniquely inform (sub-)acute prognoses and clinical management. Clin Neurophysiol. 2013;124(1):10–9.

6. Jordan KG. Emergency EEG and continuous EEG monitor-ing in acute ischemic stroke. J Clin Neurophysiol. 2004;21(5):341–52.

7. van Putten M, Hofmeijer J. EEG monitoring in cerebral is-chemia: basic concepts and clinical applications. J Clin Neuro-physiol. 2016;33(3):203–10.

8. Astrup J, Siesjö BK, Symon L. Thresholds in cerebral is-chemia - the ischemic penumbra. Stroke. 1981;12(6):723–5.

9. Hossmann KA. Viability thresholds and the penumbra of focal ischemia. Ann Neurol. 1994;36(4):557–65.

10. Erani F, Zolotova N, Vanderschelden B, Khoshab N, Sari-an H, Nazarzai L. Electroencephalography might improve di-agnosis of acute stroke and large vessel occlusion. Stroke. 2020;51(11):3361–5.

11. van Meenen LCC, van Stigt MN, Marquering HA, Majoie C, Roos Y, Koelman J. Detection of large vessel occlusion stroke with electroencephalography in the emergency room: first results of the ELECTRA-STROKE study. J Neurol. 2022;269(4):2030–8.

12. Groenendijk EA, van Stigt MN, van de Munckhof A, Ko-elman J, Koopman MS, Marquering HA. Subhairline electro-encephalography for the detection of large vessel occlusion stroke. J Am Heart Assoc. 2023;12(22):e031929.

13. van Stigt MN, Groenendijk EA, van Meenen LCC, van de Munckhof A, Theunissen M, Franschman G. Prehospital de-tection of large vessel occlusion stroke with EEG: results of the ELECTRA-STROKE study. Neurology. 2023;101(24):e2522–e32.

14. Peterson W, Ramakrishnan N, Tinklepaugh D, Hamburg-er A, Kowell A, Browder K. Exploring the feasibility of EEG for pre-hospital detection of medium and large vessel occlu-sion strokes: a proof-of-concept study. Front Neurol. 2025;16:1509443.

15. Sheorajpanday RVA, Nagels G, Weeren A, De Deyn PP. Quantitative EEG in ischemic stroke: correlation with infarct volume and functional status in posterior circulation and la-cunar syndromes. Clin Neurophysiol. 2011;122(5):884–90.

16. Yan Y, An X, Ma Y, Jiang Z, Di Y, Li T. Detection of early neurological deterioration using a quantitative electroen-cephalography system in patients with large vessel occlusion stroke after endovascular treatment. J Neurointerv Surg. 2025;17(8):883–9.

17. Wilkinson CM, Burrell JI, Kuziek JWP, Thirunavukkarasu S, Buck BH, Mathewson KE. Predicting stroke severity with a 3-min recording from the Muse portable EEG system for rap-id diagnosis of stroke. Sci Rep. 2020;10(1):18465.

18. Dreier JP. The role of spreading depression, spreading depolarization and spreading ischemia in neurological dis-ease. Nat Med. 2011;17(4):439–47.

19. Iadecola C. The neurovascular unit coming of age: a jour-ney through neurovascular coupling in health and disease. Neuron. 2017;96(1):17–42.

20. Wang Y, Liu D, Liu J, Kong C, Zhang Z, Duan W. Quantita-tive EEG provides early prediction of poor outcome in acute ischemic stroke after endovascular treatment: a preliminary study. Neurol Res. 2021;43(10):831–7.

21. Zhang N, Chen F, Xie X, Xie Z, Hong D, Li J. Application of quantitative EEG in acute ischemic stroke patients who un-derwent thrombectomy: a comparison with CT perfusion. Clin Neurophysiol. 2022;141:24–33.

22. Shen Y, You H, Yang Y, Tang R, Ji Z, Liu H. Predicting brain edema and outcomes after thrombectomy in stroke: frontal delta/alpha ratio as an optimal quantitative EEG in-dex. Clin Neurophysiol. 2024;164:149–60.

23. Prandin G, Furlanis G, Scali I, Palacino F, Mancinelli L, Vincis E. Status epilepticus after mechanical thrombectomy: the role of early EEG assessment in Stroke Unit, clinical and radiological prognostication. Epilepsy Res. 2024;202:107343.

24. Yang Y, Peng L, Li Y, Wang M, Zhou W, Zhou Z. The use of EEG in predicting the prognosis of patients undergoing endovascular treatment for acute anterior circulation infarc-tion. J Clin Neurosci. 2025;137:111252.

25. Zhang Z, Hasan S, Sadan O, Rosenthal ES, Pu Y, Wen Z. Contralateral neurovascular coupling in patients with is-chemic stroke after endovascular thrombectomy. Neurocrit Care. 2025;42:996–1006.

26. Batra D, Chen M, Meis J, Möhlenbruch MA, Klose C, Ringleb P. Feasibility of noninvasive neuromonitoring using BIS and NIRS during endovascular treatment of acute is-chemic stroke. Neurol Res Pract. 2025;7:60.

27. Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372: n71.

28. McInnes MDF, Moher D, Thombs BD, McGrath TA, Bos-suyt PM, Group P-D. Preferred Reporting Items for a System-atic Review and Meta-analysis of Diagnostic Test Accuracy Studies: the PRISMA-DTA Statement. JAMA. 2018;319(4):388–96.

29. Whiting PF, Rutjes AWS, Westwood ME, Mallett S, Deeks JJ, Reitsma JB. QUADAS-2: a revised tool for the quality as-sessment of diagnostic accuracy studies. Ann Intern Med. 2011;155(8):529–36.

30. Hayden JA, van der Windt DA, Cartwright JL, Cote P, Bombardier C. Assessing bias in studies of prognostic factors. Ann Intern Med. 2013;158(4):280–6.

31. Wolff RF, Moons KGM, Riley RD, Whiting PF, Westwood M, Collins GS. PROBAST: a tool to assess the risk of bias and applicability of prediction model studies. Ann Intern Med. 2019;170(1):51–8.

32. Moons KGM, de Groot JAH, Bouwmeester W, Vergouwe Y, Mallett S, Altman DG. Critical appraisal and data extraction for systematic reviews of prediction modelling studies: the CHARMS checklist. PLoS Med. 2014;11(10):e1001744.

33. Collins GS, Reitsma JB, Altman DG, Moons KGM. Trans-parent Reporting of a multivariable prediction model for In-dividual Prognosis Or Diagnosis (TRIPOD): the TRIPOD statement. Ann Intern Med. 2015;162(1):55–63.

34. Bossuyt PM, Reitsma JB, Bruns DE, Gatsonis CA, Glasziou PP, Irwig L. STARD 2015: an updated list of essential items for reporting diagnostic accuracy studies. BMJ. 2015;351: h5527.

35. Collins GS, Moons KGM, Dhiman P, Riley RD, Beam AL, Van Calster B. TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods. BMJ. 2024;385:e078378.

36. Schunemann HJ, Oxman AD, Brozek J, Glasziou P, Jaesch-ke R, Vist GE. GRADE: grading quality of evidence and strength of recommendations for diagnostic tests and strate-gies. BMJ. 2008;336(7653):1106–10.

  • 摘要 ##plugins.themes.ojsPlusA.frontend.article.viewed##: 14 ##plugins.themes.ojsPlusA.frontend.article.times##
  • pdf (English) ##plugins.themes.ojsPlusA.frontend.article.downloaded##: 31 ##plugins.themes.ojsPlusA.frontend.article.times##

##plugins.themes.ojsPlusA.frontend.article.downloadstatastics##

  • ##plugins.themes.ojsPlusA.frontend.article.linkedin##
  • ##plugins.themes.ojsPlusA.frontend.article.twitter##
  • ##plugins.themes.ojsPlusA.frontend.article.facebook##
  • ##plugins.themes.ojsPlusA.frontend.article.googleplus##
  • ##plugins.themes.ojsPlusA.frontend.article.telegram##

##plugins.block.makeSubmission.linkLabel##

##plugins.block.makeSubmission.linkLabel##

SJR

SCImago Journal & Country Rank

COPE

最新一期

  • Atom logo
  • RSS2 logo
  • RSS1 logo

消息

  • 给读者
  • 作者
  • 图书管理员
  • ##plugins.themes.ojsPlusA.frontend.footer.home##
  • 过刊
  • 投稿
  • 关于期刊
  • 编辑团队
  • 联系方式

本期刊根据以下条款发行 CC BY-NC 3.0 设计和出版 SBMU journals。所有学分和荣誉 PKP 他们的 OJS。

网站地图 | ISSN-在线:2645-4904

##plugins.themes.ojsPlusA.frontend.copyright##