SynthesisNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2023
Quantitative measures of the resting EEG in stroke: a systematic review on clinical correlation and prognostic value.
Synthesis in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 22 citations in OpenAlex.
- Efficacy of kinesthetic motor imagery based brain computer interface combined with tDCS on upper limb function in subacute stroke.Scientific reports · 2025Trial
- Quantitative Electroencephalogram Patterns During Neonatal Antegrade Cerebral Perfusion and Deep Hypothermic Circulatory Arrest that Suggest Neurologic Injury.Pediatric cardiology · 2026Article
- Electroencephalography in stroke Care: From acute monitoring to Post-Stroke epilepsy.Clinical neurophysiology practice · 2026Review
- Temporal Variability Analysis of Cortical Blood Flow in Rats with Hyperacute Cerebral Ischemia.Neuroscience bulletin · 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
- 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
- Quantitative EEG analysis related to coma and prognosis in acute severe cerebral infarction.European journal of medical research · 2025Article
- Aperiodic brain activity changes in patients with stroke following virtual reality-based upper limb robotic rehabilitation: a pilot Randomized Controlled Trial.Frontiers in human neuroscience · 2025Article
- Case Report: Electro-cortical network effects of an acute stroke revealed by high-density electroencephalography.Frontiers in neuroscience · 2025Article
- Integrating EEG and Machine Learning to Analyze Brain Changes during the Rehabilitation of Broca's Aphasia.Sensors (Basel, Switzerland) · 2024Article
- Spectral exponent assessment and neurofilament light chain: a comprehensive approach to describe recovery patterns in stroke.Frontiers in neurology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectQuantitative electroencephalography (qEEG) has shown promising results as a predictor of clinical impairment in stroke. We systematically reviewed published papers that focus on qEEG metrics in the resting EEG of patients with mono-hemispheric stroke, to summarize current knowledge and pave the way for future research.
methodsFollowing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we systematically searched the literature for papers that fitted our inclusion criteria. Rayyan QCRR was used to allow deduplication and collaborative blinded paper review. Due to multiple outcomes and non-homogeneous literature, a scoping review approach was used to address the topic.
resultsOr initial search (PubMed, Embase, Google scholar) yielded 3200 papers. After proper screening, we selected 71 papers that fitted our inclusion criteria and we developed a scoping review thar describes the current state of the art of qEEG in stroke. Notably, among selected papers 53 (74.3%) focused on spectral power; 11 (15.7%) focused on symmetry indexes, 17 (24.3%) on connectivity metrics, while 5 (7.1%) were about other metrics (e.g. detrended fluctuation analysis). Moreover, 42 (58.6%) studies were performed with standard 19 electrodes EEG caps and only a minority used high-definition EEG.
conclusionsWe systematically assessed major findings on qEEG and stroke, evidencing strengths and potential pitfalls of this promising branch of research.
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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.