ArticleBrain topography2022
Relation Between EEG Measures and Upper Limb Motor Recovery in Stroke Patients: A Scoping Review.
Article in Brain topography, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 4 of them syntheses that pooled it.
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The trial behind it
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Who cites it
34 citing papers in PubMed, 4 syntheses or guidelines pooled it, 51 citations in OpenAlex.
- Brain-computer interface for upper limb functional recovery post-stroke: a meta-analysis of improvement in upper limb motor function and changes in neurophysiological markers.Journal of neuroengineering and rehabilitation · 2026Pooled it
- EEG biomarkers for assessment, prognosis, and monitoring of natural upper limb recovery after stroke: a systematic review.Journal of neuroengineering and rehabilitation · 2026Pooled it
- Robot-Assisted Upper-Limb Rehabilitation After Stroke: A Systematic Review and Meta-Analysis of Cortical Reorganization and Neuroplasticity Biomarkers.Neural plasticity · 2026Pooled it
- Can motion capture improve task-based fMRI studies of motor function post-stroke? A systematic review.Journal of neuroengineering and rehabilitation · 2025Pooled it
- EEG Biomarkers During Upper-Limb Action Observation Therapy for Stroke Rehabilitation: A Scoping Review.Annals of biomedical engineering · 2026Review
- Mechanisms, Biomarkers, and Therapeutic Interventions of Neuroplasticity After Ischemic Stroke-A Scoping Review.Brain sciences · 2026Review
- Advancing Stroke Recovery Through Operant Conditioning of Corticomuscular Coherence.Restorative neurology and neuroscience · 2026Review
- EEG based multifunctional connectivity fusion across frequency bands and parameters promote motor function assessment in stroke: a pilot study.Journal of neuroengineering and rehabilitation · 2026Article
- Enhancing upper limb motor recovery prediction after acute stroke using EEG and subacute data.APL bioengineering · 2026Article
- Multimodal Evaluation of Mental Workload and Engagement in Upper-Limb Robot-Assisted Motor Tasks.Sensors (Basel, Switzerland) · 2026Article
- Precision Neuromodulation Treatment Reverses Motor and Cognitive Slowing After Stroke: Clinical and Neurophysiological Evidence.Journal of clinical medicine · 2026Article
- Closed-loop brain-computer interfaces for post-stroke sensorimotor loop restoration.Frontiers in neuroscience · 2026Review
- Prefrontal Hierarchical Control of Corticomuscular Coherence in Stroke.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2026Article
- 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
- Corticomuscular coupling study for post-stroke rehabilitation: a scoping review.Journal of neuroengineering and rehabilitation · 2025Article
- From Qualitative to Quantitative Functional Assessment in Stroke Rehabilitation with a Focus on Ultrasound Role.Biomedicines · 2025Review
- Review
- EEG Responses to Upper Limb Pinprick Stimulation in Acute and Early Subacute Motor and Sensorimotor Stroke: A Proof of Concept.Translational stroke research · 2025Article
- Action Observation Training for Upper Limb Stroke Rehabilitation: A Pilot Study on the Role of Attention.Journal of clinical medicine · 2025Article
- Post-stroke spontaneous motor recovery in mice can be predicted from acute-phase local field potential using machine learning.APL bioengineering · 2025Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Current clinical practice does not leverage electroencephalography (EEG) measurements in stroke patients, despite its potential to contribute to post-stroke recovery predictions. We review the literature on the effectiveness of various quantitative and qualitative EEG-based measures after stroke as a tool to predict upper limb motor outcome, in relation to stroke timeframe and applied experimental tasks. Moreover, we aim to provide guidance on the use of EEG in the assessment of upper limb motor recovery after stroke, suggesting a high potential for some metrics in the appropriate context. We identified relevant papers (N = 16) from databases ScienceDirect, Web of Science and MEDLINE, and assessed their methodological quality with the Joanna Briggs Institute (JBI) Critical Appraisal. We applied the Preferred Reporting Systems for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) Framework. Identified works used EEG to identify properties including event-related activation, spectral power in physiologically relevant bands, symmetry in brain dynamics, functional connectivity, cortico-muscular coherence and rhythmic coordination. EEG was acquired in resting state or in relation to behavioural conditions. Motor outcome was mainly evaluated with the Upper Limb Fugl-Meyer Assessment. Despite great variability in the literature, data suggests that the most promising EEG quantifiers for predicting post-stroke motor outcome are event-related measures. Measures of spectral power in physiologically relevant bands and measures of brain symmetry also show promise. We suggest that EEG measures may improve our understanding of stroke brain dynamics during recovery, and contribute to establishing a functional prognosis and choosing the rehabilitation approach.
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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.