ArticleStroke2020
Electroencephalography Might Improve Diagnosis of Acute Stroke and Large Vessel Occlusion.
Article in Stroke, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
32 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.
- Artificial Intelligence for Large-Vessel Occlusion Stroke: A Systematic Review.World neurosurgery · 2022Pooled it
- Detection of early neurological deterioration using a quantitative electroencephalography system in patients with large vessel occlusion stroke after endovascular treatment.Journal of neurointerventional surgery · 2025Trial
- Electroencephalography (EEG) and Quantitative EEG for Acute Stroke Triage and Post-Reperfusion Monitoring: A Systematic Review.Archives of academic emergency medicine · 2026Review
- Electroencephalography in stroke Care: From acute monitoring to Post-Stroke epilepsy.Clinical neurophysiology practice · 2026Review
- Machine learning enhanced noninvasive transcranial stroke detection using a portable eddy current damping sensor.iScience · 2025Article
- Large vessel occlusion prediction scale thresholds that are sensitive for DAWN Trial patients.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2025Article
- Noncontact Monitoring and AI-Driven Stroke Prediction: National Center for Neurological Disorders-Based Approach Using Smart Beds.Health care science · 2025Article
- EEG-Based Deep Learning Model for Hyper-Acute Large Vessel Occlusion Stroke Detection in Mice.CNS neuroscience & therapeutics · 2025Article
- Point-of-Care Electroencephalography in Acute Neurological Care: A Narrative Review.Neurology international · 2025Review
- From data to decisions: AI and functional connectivity for diagnosis, prognosis, and recovery prediction in stroke.GeroScience · 2025Article
- Prehospital technologies for early stroke detection - A review.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2025Review
- Journal Club: Prehospital Detection of Large Vessel Occlusion Stroke With Electroencephalography: Results of the ELECTRA-STROKE Study.Neurology · 2024Article
- MSE-VGG: A Novel Deep Learning Approach Based on EEG for Rapid Ischemic Stroke Detection.Sensors (Basel, Switzerland) · 2024Article
- EEG Changes in Migraine-Can EEG Help to Monitor Attack Susceptibility?Brain sciences · 2024Review
- Prehospital identification of intracerebral haemorrhage: a scoping review of early clinical features and portable devices.BMJ open · 2024Article
- Clinical approaches for poststroke seizure: a review.Frontiers in neurology · 2024Review
- Detecting Cerebral Ischemia From Electroencephalography During Carotid Endarterectomy Using Machine Learning.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2024Article
- Prehospital Detection of Large Vessel Occlusion Stroke With EEG.Neurology · 2023Article
- Flower electrodes for comfortable dry electroencephalography.Scientific reports · 2023Article
- A Measure of Neural Function Provides Unique Insights into Behavioral Deficits in Acute Stroke.Stroke · 2023Article
Corrections and comments
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Authors and funding
13 authors at 3 institutions in 2 countries.
Funding
Abstract
background and purposeClinical methods have incomplete diagnostic value for early diagnosis of acute stroke and large vessel occlusion (LVO). Electroencephalography is rapidly sensitive to brain ischemia. This study examined the diagnostic utility of electroencephalography for acute stroke/transient ischemic attack (TIA) and for LVO.
methodsPatients (n=100) with suspected acute stroke in an emergency department underwent clinical exam then electroencephalography using a dry-electrode system. Four models classified patients, first as acute stroke/TIA or not, then as acute stroke with LVO or not: (1) clinical data, (2) electroencephalography data, (3) clinical+electroencephalography data using logistic regression, and (4) clinical+electroencephalography data using a deep learning neural network. Each model used a training set of 60 randomly selected patients, then was validated in an independent cohort of 40 new patients.
resultsOf 100 patients, 63 had a stroke (43 ischemic/7 hemorrhagic) or TIA (13). For classifying patients as stroke/TIA or not, the clinical data model had area under the curve=62.3, whereas clinical+electroencephalography using deep learning neural network model had area under the curve=87.8. Results were comparable for classifying patients as stroke with LVO or not.
conclusionsAdding electroencephalography data to clinical measures improves diagnosis of acute stroke/TIA and of acute stroke with LVO. Rapid acquisition of dry-lead electroencephalography is feasible in the emergency department and merits prehospital evaluation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.