ArticleScientific reports2017
Neuroprosthetic-enabled control of graded arm muscle contraction in a paralyzed human.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 33 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.
Reanimation in Tetraplegia: Restoring Cortical Control of Functional Movement in Humans With Quadriplegia
High Definition Neuromuscular Stimulation in Tetraplegia
Who cites it
33 citing papers in PubMed, 1 synthesis or guideline pooled it, 79 citations in OpenAlex.
- Use and evaluation of assistive technologies for upper limb function in tetraplegia.The journal of spinal cord medicine · 2022Pooled it
- Bypass neural interfaces for paralysis: clinical translation, challenges and future directions.Journal of neuroengineering and rehabilitation · 2026Review
- Brain-Computer Interfaces for Stroke Motor Rehabilitation.Bioengineering (Basel, Switzerland) · 2025Review
- Development and evaluation of a non-invasive brain-spine interface using transcutaneous spinal cord stimulation.Journal of neuroengineering and rehabilitation · 2025Article
- 5-year follow-up of a fully implanted brain-computer interface in a spinal cord injury patient.Journal of neural engineering · 2025Article
- Bioelectronic Therapeutics: A Revolutionary Medical Practice in Health Care.Bioelectricity · 2025Review
- Wearable high-density EMG sleeve for complex hand gesture classification and continuous joint angle estimation.Scientific reports · 2024Article
- Decoding hand and wrist movement intention from chronic stroke survivors with hemiparesis using a user-friendly, wearable EMG-based neural interface.Journal of neuroengineering and rehabilitation · 2024Article
- Rhesus monkeys learn to control a directional-key inspired brain machine interface via bio-feedback.PloS one · 2024Article
- Effectiveness of the Combined Use of a Brain-Machine Interface System and Virtual Reality as a Therapeutic Approach in Patients with Spinal Cord Injury: A Systematic Review.Healthcare (Basel, Switzerland) · 2023Review
- Boosting brain-computer interfaces with functional electrical stimulation: potential applications in people with locked-in syndrome.Journal of neuroengineering and rehabilitation · 2023Review
- Functional electrical stimulation therapy controlled by a P300-based brain-computer interface, as a therapeutic alternative for upper limb motor function recovery in chronic post-stroke patients. A non-randomized pilot study.Frontiers in neurology · 2023Article
- Effect of Acute Physical Interventions on Pathophysiology and Recovery After Spinal Cord Injury: A Comprehensive Review of the Literature.Neurospine · 2022Article
- Soft robotics and functional electrical stimulation advances for restoring hand function in people with SCI: a narrative review, clinical guidelines and future directions.Journal of neuroengineering and rehabilitation · 2022Review
- Existing function in primary visual cortex is not perturbed by new skill acquisition of a non-matched sensory task.Nature communications · 2022Article
- The role of electrical stimulation for rehabilitation and regeneration after spinal cord injury.Journal of orthopaedics and traumatology : official journal of the Italian Society of Orthopaedics and Traumatology · 2022Review
- Increasing Robustness of Brain-Computer Interfaces Through Automatic Detection and Removal of Corrupted Input Signals.Frontiers in neuroscience · 2022Article
- Slow Firing Single Units Are Essential for Optimal Decoding of Silent Speech.Frontiers in human neuroscience · 2022Article
- Historical perspectives, challenges, and future directions of implantable brain-computer interfaces for sensorimotor applications.Bioelectronic medicine · 2021Review
- Generalizable cursor click decoding using grasp-related neural transients.Journal of neural engineering · 2021Article
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
No grant is acknowledged in the PubMed record.
Abstract
Neuroprosthetics that combine a brain computer interface (BCI) with functional electrical stimulation (FES) can restore voluntary control of a patients' own paralyzed limbs. To date, human studies have demonstrated an "all-or-none" type of control for a fixed number of pre-determined states, like hand-open and hand-closed. To be practical for everyday use, a BCI-FES system should enable smooth control of limb movements through a continuum of states and generate situationally appropriate, graded muscle contractions. Crucially, this functionality will allow users of BCI-FES neuroprosthetics to manipulate objects of different sizes and weights without dropping or crushing them. In this study, we present the first evidence that using a BCI-FES system, a human with tetraplegia can regain volitional, graded control of muscle contraction in his paralyzed limb. In addition, we show the critical ability of the system to generalize beyond training states and accurately generate wrist flexion states that are intermediate to training levels. These innovations provide the groundwork for enabling enhanced and more natural fine motor control of paralyzed limbs by BCI-FES neuroprosthetics.
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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.