ArticlePloS one2017
Acute single channel EEG predictors of cognitive function after stroke.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 3 of them syntheses that pooled it.
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Who cites it
39 citing papers in PubMed, 3 syntheses or guidelines pooled it, 76 citations in OpenAlex.
- Research progress of quantitative electroencephalography in post-ischemic stroke mental disorders.Frontiers in neurology · 2025Pooled it
- The Prognostic Utility of Electroencephalography in Stroke Recovery: A Systematic Review and Meta-Analysis.Neurorehabilitation and neural repair · 2022Pooled it
- What do randomized controlled trials say about virtual rehabilitation in stroke? A systematic literature review and meta-analysis of upper-limb and cognitive outcomes.Journal of neuroengineering and rehabilitation · 2018Pooled it
- Effects of Two Different Multicomponent Cognitive-Motor Training Protocols on EEG Spectral Activity, Cognitive-Motor Interference, and Gait Performance in Individuals with Chronic Stroke: A Randomized Controlled Trial.Medicina (Kaunas, Lithuania) · 2026Trial
- Predicting stroke severity with a 3-min recording from the Muse portable EEG system for rapid diagnosis of stroke.Scientific reports · 2020Trial
- Elements virtual rehabilitation improves motor, cognitive, and functional outcomes in adult stroke: evidence from a randomized controlled pilot study.Journal of neuroengineering and rehabilitation · 2019Trial
- A qEEG-based prognostic model for cognitive impairment after ischemic stroke: Development and internal validation.IBRO neuroscience reports · 2026Article
- Rewiring Recovery: Cognitive and Motor Gains Through Personalized Neurofeedback After Tumor Resection-A Case Series from Neurorehabilitation Practice.Applied psychophysiology and biofeedback · 2026Article
- Reduced task-induced frontal midline theta activity in chronic stroke patients compared to healthy older adults - An MEG study.NeuroImage. Clinical · 2026Article
- The correlation between muscle strength, inhibitory function, and cognitive function in older adults with cognitive impairment: evidence from resting-state electroencephalography.Frontiers in aging neuroscience · 2025Article
- Functional analysis within latent states: A novel framework for analysing functional time series data.PloS one · 2025Article
- Electrophysiological Signatures in Global Cerebral Ischemia: Neuroprotection Via Chemogenetic Inhibition of CA1 Pyramidal Neurons in Rats.Journal of the American Heart Association · 2024Article
- Current implications of EEG and fNIRS as functional neuroimaging techniques for motor recovery after stroke.Medical review (2021) · 2024Review
- EEG Spectral Power Changes in Patients With Dysexecutive Syndrome Following Cognitive Intervention.Brain and behavior · 2024Article
- MSE-VGG: A Novel Deep Learning Approach Based on EEG for Rapid Ischemic Stroke Detection.Sensors (Basel, Switzerland) · 2024Article
- A multimodal physiological dataset for driving behaviour analysis.Scientific data · 2024Article
- Resting-state EEG measures cognitive impairment in Parkinson's disease.NPJ Parkinson's disease · 2024Article
- A Hybrid Stacked CNN and Residual Feedback GMDH-LSTM Deep Learning Model for Stroke Prediction Applied on Mobile AI Smart Hospital Platform.Sensors (Basel, Switzerland) · 2023Article
- Literature review of stroke assessment for upper-extremity physical function via EEG, EMG, kinematic, and kinetic measurements and their reliability.Journal of neuroengineering and rehabilitation · 2023Review
- An IoMT-Based Approach for Real-Time Monitoring Using Wearable Neuro-Sensors.Journal of healthcare engineering · 2023Article
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEarly and accurate identification of factors that predict post-stroke cognitive outcome is important to set realistic targets for rehabilitation and to guide patients and their families accordingly. However, behavioral measures of cognition are difficult to obtain in the acute phase of recovery due to clinical factors (e.g. fatigue) and functional barriers (e.g. language deficits). The aim of the current study was to test whether single channel wireless EEG data obtained acutely following stroke could predict longer-term cognitive function.
methodsResting state Relative Power (RP) of delta, theta, alpha, beta, delta/alpha ratio (DAR), and delta/theta ratio (DTR) were obtained from a single electrode over FP1 in 24 participants within 72 hours of a first-ever stroke. The Montreal Cognitive Assessment (MoCA) was administered at 90-days post-stroke. Correlation and regression analyses were completed to identify relationships between 90-day cognitive function and electrophysiological data, neurological status, and demographic characteristics at admission.
resultsFour acute qEEG indices demonstrated moderate to high correlations with 90-day MoCA scores: DTR (r = -0.57, p = 0.01), RP theta (r = 0.50, p = 0.01), RP delta (r = -0.47, p = 0.02), and DAR (r = -0.45, p = 0.03). Acute DTR (b = -0.36, p < 0.05) and stroke severity on admission (b = -0.63, p < 0.01) were the best linear combination of predictors of MoCA scores 90-days post-stroke, accounting for 75% of variance.
conclusionsData generated by a single pre-frontal electrode support the prognostic value of acute DAR, and identify DTR as a potential marker of post-stroke cognitive outcome. Use of single channel recording in an acute clinical setting may provide an efficient and valid predictor of cognitive function after stroke.
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