SynthesisNeurorehabilitation and neural repair2022
The Prognostic Utility of Electroencephalography in Stroke Recovery: A Systematic Review and Meta-Analysis.
Synthesis in Neurorehabilitation and neural repair, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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.
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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
28 citing papers in PubMed, 49 citations in OpenAlex.
- EEG Biomarkers During Upper-Limb Action Observation Therapy for Stroke Rehabilitation: A Scoping Review.Annals of biomedical engineering · 2026Review
- Slow Oscillations Track Acute Stroke Injury but Not Functional Recovery.bioRxiv : the preprint server for biology · 2026Article
- Integrating serum neurotrophin profiles and quantitative EEG for predicting motor outcomes in acute ischemic stroke.BMC neurology · 2026Observational
- Lesion-specific EEG signatures in stroke: a multi-scale framework integrating oscillations, connectivity, and asymmetry for machine learning decoding.Journal of neuroengineering and rehabilitation · 2026Article
- Enhancing upper limb motor recovery prediction after acute stroke using EEG and subacute data.APL bioengineering · 2026Article
- EEG-based dataset explicitly targets the transitions between sitting and standing for exploring neural activation patterns in motor imagery and execution.GigaScience · 2026Article
- Electroencephalography in stroke Care: From acute monitoring to Post-Stroke epilepsy.Clinical neurophysiology practice · 2026Review
- Functional connectivity associated with severe upper limb impairment in resting-state electroencephalography among chronic stroke survivors: a machine learning approach.Journal of neuroengineering and rehabilitation · 2025Article
- Source-Level Resting-State EEG Connectivity Reveals Frequency-Specific Neural Reorganization and Predicts Motor Recovery in Individuals Post Stroke Following Gait Rehabilitation.Research square · 2025Article
- Extension of voxel-based lesion mapping to multidimensional neurophysiological data.Scientific reports · 2025Article
- EEG Responses to Upper Limb Pinprick Stimulation in Acute and Early Subacute Motor and Sensorimotor Stroke: A Proof of Concept.Translational stroke research · 2025Article
- Navigating the Complexity of Bilingual Aphasia: Current Insights and Future Directions.Brain sciences · 2025Review
- Acute Stroke Severity Assessment: The Impact of Lesion Size and Functional Connectivity.Brain sciences · 2025Article
- Test-retest reliability of kinematic and EEG low-beta spectral features in a robot-based arm movement task.Biomedical physics & engineering express · 2025Article
- Post-stroke spontaneous motor recovery in mice can be predicted from acute-phase local field potential using machine learning.APL bioengineering · 2025Article
- A novel stroke classification model based on EEG feature fusion.Scientific reports · 2025Article
- The Effects of Transcranial Direct Current Stimulation During Extended Reality Exercises for Cortical, Neuromuscular, and Clinical Recovery of Stroke Survivors.Neural plasticity · 2025Article
- Long-Term Brain-Computer Interface Functional Electrical Stimulation Enhances Neuroplasticity and Functional Recovery in Elderly Stroke: A 4.5-Year Longitudinal Study Integrating Electroencephalography Biomarkers and Clinical Assessments.Research (Washington, D.C.) · 2025Article
- EEG Spectral Power Changes in Patients With Dysexecutive Syndrome Following Cognitive Intervention.Brain and behavior · 2024Article
- Electrophysiological Correlates of Dentate Nucleus Deep Brain Stimulation for Poststroke Motor Recovery.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundImproved ability to predict patient recovery would guide post-stroke care by helping clinicians personalize treatment and maximize outcomes. Electroencephalography (EEG) provides a direct measure of the functional neuroelectric activity in the brain that forms the basis for neuroplasticity and recovery, and thus may increase prognostic ability.
objectiveTo examine evidence for the prognostic utility of EEG in stroke recovery via systematic review/meta-analysis.
methodsPeer-reviewed journal articles that examined the relationship between EEG and subsequent clinical outcome(s) in stroke were searched using electronic databases. Two independent researchers extracted data for synthesis. Linear meta-regressions were performed across subsets of papers with common outcome measures to quantify the association between EEG and outcome.
results75 papers were included. Association between EEG and clinical outcomes was seen not only early post-stroke, but more than 6 months post-stroke. The most studied prognostic potential of EEG was in predicting independence and stroke severity in the standard acute stroke care setting. The meta-analysis showed that EEG was associated with subsequent clinical outcomes measured by the Modified Rankin Scale, National Institutes of Health Stroke Scale, and Fugl-Meyer Upper Extremity Assessment (r = .72, .70, and .53 from 8, 13, and 12 papers, respectively). EEG improved prognostic abilities beyond prediction afforded by standard clinical assessments. However, the EEG variables examined were highly variable across studies and did not converge.
conclusionsEEG shows potential to predict post-stroke recovery outcomes. However, evidence is largely explorative, primarily due to the lack of a definitive set of EEG measures to be used for prognosis.
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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.