ArticleBrain : a journal of neurology2015
Connectivity measures are robust biomarkers of cortical function and plasticity after stroke.
Article in Brain : a journal of neurology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 122 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
122 citing papers in PubMed, 3 syntheses or guidelines pooled it, 215 citations in OpenAlex.
- EEG biomarkers for assessment, prognosis, and monitoring of natural upper limb recovery after stroke: a systematic review.Journal of neuroengineering and rehabilitation · 2026Pooled it
- Quantitative measures of the resting EEG in stroke: a systematic review on clinical correlation and prognostic value.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2023Pooled it
- The Prognostic Utility of Electroencephalography in Stroke Recovery: A Systematic Review and Meta-Analysis.Neurorehabilitation and neural repair · 2022Pooled it
- Transcranial direct current stimulation-induced changes in motor cortical connectivity are associated with motor gains following ischemic stroke.Scientific reports · 2024Trial
- Stimulation of the Premotor Cortex Enhances Interhemispheric Functional Connectivity in Association with Upper Limb Motor Recovery in Moderate-to-Severe Chronic Stroke.Brain connectivity · 2023Trial
- Varied Response of EEG Rhythm to Different tDCS Protocols and Lesion Hemispheres in Stroke Subjects with Upper Limb Dysfunction.Neural plasticity · 2022Trial
- Predicting upper extremity motor improvement following therapy using EEG-based connectivity in chronic stroke.NeuroRehabilitation · 2022Trial
- Novel gait training alters functional brain connectivity during walking in chronic stroke patients: a randomized controlled pilot trial.Journal of neuroengineering and rehabilitation · 2019Trial
- Neuroplasticity and network connectivity of the motor cortex following stroke: A transcranial direct current stimulation study.Human brain mapping · 2018Trial
- Variability in stroke motor outcome is explained by structural and functional integrity of the motor system.Scientific reports · 2018Trial
- Brain-actuated functional electrical stimulation elicits lasting arm motor recovery after stroke.Nature communications · 2018Trial
- The role of virtual reality in improving motor performance as revealed by EEG: a randomized clinical trial.Journal of neuroengineering and rehabilitation · 2017Trial
- Review
- EEG Biomarkers During Upper-Limb Action Observation Therapy for Stroke Rehabilitation: A Scoping Review.Annals of biomedical engineering · 2026Review
- Article
- Mapping Brain Function After Stroke: From Early Disorganization to Late Compensation.Neurorehabilitation and neural repair · 2026Article
- Timed microglia depletion promotes functional network reorganization and motor recovery after stroke.Brain communications · 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
- Towards AI-based precision rehabilitation via contextual model-based reinforcement learning.Journal of neuroengineering and rehabilitation · 2025Article
- Extension of voxel-based lesion mapping to multidimensional neurophysiological data.Scientific reports · 2025Article
62 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 2 institutions in 1 country.
Funding
Abstract
Valid biomarkers of motor system function after stroke could improve clinical decision-making. Electroencephalography-based measures are safe, inexpensive, and accessible in complex medical settings and so are attractive candidates. This study examined specific electroencephalography cortical connectivity measures as biomarkers by assessing their relationship with motor deficits across 28 days of intensive therapy. Resting-state connectivity measures were acquired four times using dense array (256 leads) electroencephalography in 12 hemiparetic patients (7.3 ± 4.0 months post-stroke, age 26-75 years, six male/six female) across 28 days of intensive therapy targeting arm motor deficits. Structural magnetic resonance imaging measured corticospinal tract injury and infarct volume. At baseline, connectivity with leads overlying ipsilesional primary motor cortex (M1) was a robust and specific marker of motor status, accounting for 78% of variance in impairment; ipsilesional M1 connectivity with leads overlying ipsilesional frontal-premotor (PM) regions accounted for most of this (R(2) = 0.51) and remained significant after controlling for injury. Baseline impairment also correlated with corticospinal tract injury (R(2) = 0.52), though not infarct volume. A model that combined a functional measure of connectivity with a structural measure of injury (corticospinal tract injury) performed better than either measure alone (R(2) = 0.93). Across the 28 days of therapy, change in connectivity with ipsilesional M1 was a good biomarker of motor gains (R(2) = 0.61). Ipsilesional M1-PM connectivity increased in parallel with motor gains, with greater gains associated with larger increases in ipsilesional M1-PM connectivity (R(2) = 0.34); greater gains were also associated with larger decreases in M1-parietal connectivity (R(2) = 0.36). In sum, electroencephalography measures of motor cortical connectivity-particularly between ipsilesional M1 and ipsilesional premotor-are strongly related to motor deficits and their improvement with therapy after stroke and so may be useful biomarkers of cortical function and plasticity. Such measures might provide a biological approach to distinguishing patient subgroups after stroke.
Indexed as
Identifiers
What OpenQuestion holds
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.