{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T05:45:48Z","timestamp":1790142348642,"version":"4.0.1"},"reference-count":30,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"22","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["JAHA"],"published-print":{"date-parts":[[2023,11,21]]},"abstract":"<jats:sec sec-type=\"background\" xml:lang=\"en\">\n            <jats:title>Background<\/jats:title>\n            <jats:p xml:lang=\"en\">Endovascular thrombectomy is standard treatment for patients with anterior circulation large vessel occlusion stroke (LVO\u2010a). Prehospital identification of these patients would enable direct routing to an endovascular thrombectomy\u2010capable hospital and consequently reduce time\u2010to\u2010endovascular thrombectomy. Electroencephalography (EEG)\u00a0has previously proven to be\u00a0promising for LVO\u2010a stroke detection. Fast and reliable electrode application, however, can remain a challenge. A potential alternative is subhairline EEG. We evaluated the diagnostic accuracy of subhairline EEG for LVO\u2010a stroke detection.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec xml:lang=\"en\">\n            <jats:title>Methods and Results<\/jats:title>\n            <jats:p xml:lang=\"en\">We included adult patients with a suspected stroke or known LVO\u2010a stroke and symptom onset time &lt;24\u2009hours. A single 3\u2010minute EEG recording was performed at the emergency department, before endovascular thrombectomy, using 9 self\u2010adhesive electrodes placed on the forehead and behind the ears. We evaluated the diagnostic accuracies of EEG features quantifying frequency band power and brain symmetry (pairwise derived Brain Symmetry Index) for LVO\u2010a stroke detection using receiver operating characteristic analysis. EEG data were of sufficient quality for analysis in 51\/52 (98%) included patients. Of these patients, 16 (31%) had an LVO\u2010a stroke, 16 (31%) a non\u2010LVO\u2010a ischemic stroke, 5 (10%) a transient ischemic attack, and 14 (27%) a stroke mimic. Median symptom\u2010onset\u2010to\u2010EEG\u2010time was 266 (interquartile range 130\u2013709) minutes. The highest diagnostic accuracy for LVO\u2010a stroke detection was reached by the pairwise derived Brain Symmetry Index in the theta frequency band (area under the receiver operating characteristic curve 0.90; sensitivity 86%; specificity 83%).<\/jats:p>\n          <\/jats:sec>\n          <jats:sec xml:lang=\"en\">\n            <jats:title>Conclusions<\/jats:title>\n            <jats:p xml:lang=\"en\">Subhairline EEG could detect LVO\u2010a stroke with high diagnostic accuracy and had high data reliability. These data suggest that subhairline EEG is potentially suitable as a prehospital stroke triage instrument.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1161\/jaha.123.031929","type":"journal-article","created":{"date-parts":[[2023,11,20]],"date-time":"2023-11-20T10:18:41Z","timestamp":1700475521000},"update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":8,"title":["Subhairline Electroencephalography for the Detection of Large Vessel Occlusion Stroke"],"prefix":"10.1161","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-3705-8829","authenticated-orcid":false,"given":"Eva A.","family":"Groenendijk","sequence":"first","affiliation":[{"name":"Department of Clinical Neurophysiology Amsterdam UMC, University of Amsterdam Amsterdam The Netherlands"},{"name":"Department of Neurology Amsterdam UMC, University of Amsterdam Amsterdam The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4957-3654","authenticated-orcid":false,"given":"Maritta N.","family":"van Stigt","sequence":"additional","affiliation":[{"name":"Department of Clinical Neurophysiology Amsterdam UMC, University of Amsterdam Amsterdam The Netherlands"},{"name":"Department of Neurology Amsterdam UMC, University of Amsterdam Amsterdam The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6028-3426","authenticated-orcid":false,"given":"Anita A. 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Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1249-1196","authenticated-orcid":false,"given":"Wouter V.","family":"Potters","sequence":"additional","affiliation":[{"name":"TrianecT Utrecht The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8284-982X","authenticated-orcid":false,"given":"Jonathan M.","family":"Coutinho","sequence":"additional","affiliation":[{"name":"Department of Neurology Amsterdam UMC, University of Amsterdam Amsterdam The 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