ArticleFrontiers in human neuroscience2023
Challenges of neural interfaces for stroke motor rehabilitation.
Article in Frontiers in human neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Comparative Effectiveness of Noninvasive Brain-Computer Interface-Based Interventions for Upper Limb Rehabilitation in Poststroke Hemiplegia: Systematic Review and Network Meta-Analysis of Randomized Controlled Trials.Journal of medical Internet research · 2026Pooled it
- Effects of Brain-Computer Interface-Controlled Hand Robot Training on Post-Stroke Recovery of Upper Limb Motor Functions: A Meta-Analysis of Dose-Matched Randomized Controlled Trials.Brain sciences · 2026Review
- Canonical coherence for the estimation of within- and cross-frequency cortico-kinematic interactions.Scientific reports · 2026Article
- Study on Auxiliary Rehabilitation System of Hand Function Based on Machine Learning with Visual Sensors.Sensors (Basel, Switzerland) · 2026Article
- Current status and future prospects of brain-computer interfaces in the field of neurological disease rehabilitation.Frontiers in rehabilitation sciences · 2026Review
- "Your Thoughts are (were) Free!": Brain-Computer-Interfaces, Neurofeedback, Detection of Deception, and the Future of Mind-Reading.Applied psychophysiology and biofeedback · 2025Review
- Uncovering attempted movements of the paralyzed upper limb after stroke through EEG and EMG.Journal of neuroengineering and rehabilitation · 2025Article
- A novel approach to promote upper-limb motor recovery in stroke survivors using assistive myoelectric control and adaptive visual feedback in virtual reality.Frontiers in bioengineering and biotechnology · 2025Article
- Electrical stimulation in upper limb assistance: opportunities and challenges.Frontiers in neuroscience · 2025Review
- The effect of reward on motor learning: different stage, different effect.Frontiers in human neuroscience · 2024Review
- Myoelectric control and virtual reality to enhance motor rehabilitation after stroke.Frontiers in bioengineering and biotechnology · 2024Article
- Magnetic field in the extreme low frequency band protects neuronal and microglia cells from oxygen-glucose deprivation.Frontiers in cellular neuroscience · 2024Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
More than 85% of stroke survivors suffer from different degrees of disability for the rest of their lives. They will require support that can vary from occasional to full time assistance. These conditions are also associated to an enormous economic impact for their families and health care systems. Current rehabilitation treatments have limited efficacy and their long-term effect is controversial. Here we review different challenges related to the design and development of neural interfaces for rehabilitative purposes. We analyze current bibliographic evidence of the effect of neuro-feedback in functional motor rehabilitation of stroke patients. We highlight the potential of these systems to reconnect brain and muscles. We also describe all aspects that should be taken into account to restore motor control. Our aim with this work is to help researchers designing interfaces that demonstrate and validate neuromodulation strategies to enforce a contingent and functional neural linkage between the central and the peripheral nervous system. We thus give clues to design systems that can improve or/and re-activate neuroplastic mechanisms and open a new recovery window for stroke patients.
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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.