ArticleFrontiers in neuroscience2020
EEG Biomarkers Related With the Functional State of Stroke Patients.
Article in Frontiers in neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to 2 registered trials, which are not on this map. Cited by 40 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.
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.
Parkinson's Disease Rehabilitation Using Neurofeedback With Functional Electrical Stimulation and Virtual Reality Feedback for Lower Extremities
A Randomized Controlled Pilot Study of Gait Rehabilitation in Stroke Patients Using Functional Electrical Stimulation and Visual Feedback
Who cites it
40 citing papers in PubMed, 81 citations in OpenAlex.
- Trial
- Effects of noninvasive brain stimulation on motor functions in animal models of ischemia and trauma in the central nervous system.Neural regeneration research · 2026Article
- 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
- EEG-based predictors of motor recovery during immersive VR-BCI rehabilitation.Scientific reports · 2026Article
- Role of Electroencephalographic Biomarkers as Predictors of Post-Stroke Cognitive Outcomes in Patients with Cerebral Infarction: Literature Review.Neuropsychiatric disease and treatment · 2026Review
- Quantitative EEG and EEG-Derived Markers of Severity, Prognosis, and Recovery After Ischemic Stroke: A Systematic Review.Archives of academic emergency medicine · 2026Review
- Reconnecting Brain Networks After Stroke: A Scoping Review of Conventional, Neuromodulatory, and Feedback-Driven Rehabilitation Approaches.Brain sciences · 2025Review
- From Qualitative to Quantitative Functional Assessment in Stroke Rehabilitation with a Focus on Ultrasound Role.Biomedicines · 2025Review
- Post-Stroke Rehabilitation: Neurophysiology Processes of Bilateral Movement Training and Interlimb Coupling-A Systematic Review.Journal of clinical medicine · 2025Review
- Integrating Brain-Computer Interface Systems into Occupational Therapy for Enhanced Independence of Stroke Patients: An Observational Study.Medicina (Kaunas, Lithuania) · 2025Observational
- Closed-loop rehabilitation of upper-limb dyskinesia after stroke: from natural motion to neuronal microfluidics.Journal of neuroengineering and rehabilitation · 2025Review
- 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
- The ReHand-BCI trial: a randomized controlled trial of a brain-computer interface for upper extremity stroke neurorehabilitation.Frontiers in neuroscience · 2025Article
- Brain temporal dynamics correlate with clinical traits, spontaneous arm movements, and recovery in middle cerebral artery stroke.Frontiers in human neuroscience · 2025Article
- The Effects of Transcranial Direct Current Stimulation During Extended Reality Exercises for Cortical, Neuromuscular, and Clinical Recovery of Stroke Survivors.Neural plasticity · 2025Article
- Current implications of EEG and fNIRS as functional neuroimaging techniques for motor recovery after stroke.Medical review (2021) · 2024Review
- Upper extremity training followed by lower extremity training with a brain-computer interface rehabilitation system.Frontiers in neuroscience · 2024Article
- Sex differences in sleep architecture in a mouse model of Huntington's disease.Journal of neuroscience research · 2024Article
- fNIRS-EEG BCIs for Motor Rehabilitation: A Review.Bioengineering (Basel, Switzerland) · 2023Review
- Associating Functional Neural Connectivity and Specific Aspects of Sensorimotor Control in Chronic Stroke.Sensors (Basel, Switzerland) · 2023Article
Corrections and comments
- Erratum issued
Authors and funding
10 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionRecent studies explored promising new quantitative methods to analyze electroencephalography (EEG) signals. This paper analyzes the correlation of two EEG parameters, Brain Symmetry Index (BSI) and Laterality Coefficient (LC), with established functional scales for the stroke assessment.
methodsThirty-two healthy subjects and thirty-six stroke patients with upper extremity hemiparesis were recruited for this study. The stroke patients where subdivided in three groups according to the stroke location: Cortical, Subcortical, and Cortical + Subcortical. The participants performed assessment visits to record the EEG in the resting state and perform functional tests using rehabilitation scales. Then, stroke patients performed 25 sessions using a motor-imagery based Brain Computer Interface system (BCI). BSI was calculated with the EEG data in resting state and LC was calculated with the Event-Related Synchronization maps.
resultsThe results of this study demonstrated significant differences in the BSI between the healthy group and Subcortical group (
conclusionThe quantitative EEG tools used here may help support our understanding of stroke and how the brain changes during rehabilitation therapy. These tools can help identify changes in EEG biomarkers and parameters during therapy that might lead to improved therapy methods and functional prognoses.
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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.