ReviewBioMed research international2021
Exploring the Use of Brain-Computer Interfaces in Stroke Neurorehabilitation.
Review in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06409754 (Application of Functional Electrical Stimulation Therapy Coupled to a P300-based Brain-Computer Interface for Paretic Upper Limb Rehabilitation in Chronic Stroke), which is not on this map. Cited by 27 papers, 1 of them a synthesis 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.
Application of Functional Electrical Stimulation Therapy Coupled to a P300-based Brain-Computer Interface for Paretic Upper Limb Rehabilitation in Chronic Stroke: A Randomized Controlled Trial
Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it, 70 citations in OpenAlex.
- EEG-Based BCIs on Motor Imagery Paradigm Using Wearable Technologies: A Systematic Review.Sensors (Basel, Switzerland) · 2023Pooled it
- Merging neural stimulation and exoskeletons to enhance sensorimotor hand functions after brain or spinal cord injury.Science advances · 2026Article
- The Effectiveness of Cognitive Training Using Electroencephalography in Acute Stroke Cases.Journal of clinical medicine · 2026Article
- Harnessing Neuroplasticity: The Role of Priming in Enhancing Post Stroke Motor Function.Restorative neurology and neuroscience · 2026Review
- Virtual Reality-Assisted Rehabilitation for Upper-Limb Function in Stroke Survivors: A Systematic Review.Brain sciences · 2026Review
- Global Trends in Research of Brain-Computer Interfaces in Neuroscience From 2014 to 2023: A Bibliometric Analysis.CNS neuroscience & therapeutics · 2026Review
- Review
- Artificial intelligence with feature fusion empowered enhanced brain stroke detection and classification for disabled persons using biomedical images.Scientific reports · 2025Article
- Brain-Computer Interfaces for Stroke Motor Rehabilitation.Bioengineering (Basel, Switzerland) · 2025Review
- Evolving Therapeutic Landscape of Intracerebral Hemorrhage: Emerging Cutting-Edge Advancements in Surgical Robots, Regenerative Medicine, and Neurorehabilitation Techniques.Translational stroke research · 2025Review
- Community perspectives regarding brain-computer interfaces: A cross-sectional study of community-dwelling adults in the UK.PLOS digital health · 2025Article
- Advancements in the application of brain-computer interfaces based on different paradigms in amyotrophic lateral sclerosis.Frontiers in neuroscience · 2025Review
- Electroencephalography-Based Brain-Computer Interfaces in Rehabilitation: A Bibliometric Analysis (2013-2023).Sensors (Basel, Switzerland) · 2024Review
- AI Applications in Adult Stroke Recovery and Rehabilitation: A Scoping Review Using AI.Sensors (Basel, Switzerland) · 2024Article
- Three-stage transfer learning for motor imagery EEG recognition.Medical & biological engineering & computing · 2024Article
- The evolution of neuromodulation for chronic stroke: From neuroplasticity mechanisms to brain-computer interfaces.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2024Review
- Effects of motor imagery-based brain-computer interface-controlled electrical stimulation on lower limb function in hemiplegic patients in the acute phase of stroke: a randomized controlled study.Frontiers in neurology · 2024Article
- Editorial: Brain-computer interfaces in neurological disorders: expanding horizons for diagnosis, treatment, and rehabilitation.Frontiers in neuroscience · 2024Article
- Article
- Proposal of neural network model for neurocognitive rehabilitation and its comparison with fuzzy expert system model.BMC medical informatics and decision making · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the continuous development of artificial intelligence technology, "brain-computer interfaces" are gradually entering the field of medical rehabilitation. As a result, brain-computer interfaces (BCIs) have been included in many countries' strategic plans for innovating this field, and subsequently, major funding and talent have been invested in this technology. In neurological rehabilitation for stroke patients, the use of BCIs opens up a new chapter in "top-down" rehabilitation. In our study, we first reviewed the latest BCI technologies, then presented recent research advances and landmark findings in BCI-based neurorehabilitation for stroke patients. Neurorehabilitation was focused on the areas of motor, sensory, speech, cognitive, and environmental interactions. Finally, we summarized the shortcomings of BCI use in the field of stroke neurorehabilitation and the prospects for BCI technology development for rehabilitation.
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.