ArticleFrontiers in neuroscience2018
Dexterous Control of Seven Functional Hand Movements Using Cortically-Controlled Transcutaneous Muscle Stimulation in a Person With Tetraplegia.
Article in Frontiers in neuroscience, 2018. 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 22 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
22 citing papers in PubMed, 1 synthesis or guideline pooled it, 69 citations in OpenAlex.
- Use and evaluation of assistive technologies for upper limb function in tetraplegia.The journal of spinal cord medicine · 2022Pooled it
- Interim Safety Profile From the Feasibility Study of the BrainGate Neural Interface System.Neurology · 2023Trial
- EEG-controlled functional electrical stimulation rehabilitation for chronic stroke: system design and clinical application.Frontiers of medicine · 2021Trial
- Brain-computer interface: an update for the clinicians.Frontiers in human neuroscience · 2026Review
- Multi-gesture drag-and-drop decoding in a 2D iBCI control task.Journal of neural engineering · 2025Article
- [Motion analysis in Orthopaedic technology research].Unfallchirurgie (Heidelberg, Germany) · 2025Review
- Wearable high-density EMG sleeve for complex hand gesture classification and continuous joint angle estimation.Scientific reports · 2024Article
- An Investigation of Manifold-Based Direct Control for a Brain-to-Body Neural Bypass.IEEE open journal of engineering in medicine and biology · 2024Article
- Boosting brain-computer interfaces with functional electrical stimulation: potential applications in people with locked-in syndrome.Journal of neuroengineering and rehabilitation · 2023Review
- A Review on Polymers for Biomedical Applications on Hard and Soft Tissues and Prosthetic Limbs.Polymers · 2023Review
- When neuro-robots go wrong: A review.Frontiers in neurorobotics · 2023Review
- Neural Decoding for Intracortical Brain-Computer Interfaces.Cyborg and bionic systems (Washington, D.C.) · 2023Review
- 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
- 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
- Shared Control of Bimanual Robotic Limbs With a Brain-Machine Interface for Self-Feeding.Frontiers in neurorobotics · 2022Article
- Increasing Robustness of Brain-Computer Interfaces Through Automatic Detection and Removal of Corrupted Input Signals.Frontiers in neuroscience · 2022Article
- Classifying Intracortical Brain-Machine Interface Signal Disruptions Based on System Performance and Applicable Compensatory Strategies: A Review.Frontiers in neurorobotics · 2020Review
- Workshops of the Seventh International Brain-Computer Interface Meeting: Not Getting Lost in Translation.Brain computer interfaces (Abingdon, England) · 2019Article
- Innovations in electrical stimulation harness neural plasticity to restore motor function.Bioelectronics in medicine · 2018Article
- Meeting brain-computer interface user performance expectations using a deep neural network decoding framework.Nature medicine · 2018Article
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 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Individuals with tetraplegia identify restoration of hand function as a critical, unmet need to regain their independence and improve quality of life. Brain-Computer Interface (BCI)-controlled Functional Electrical Stimulation (FES) technology addresses this need by reconnecting the brain with paralyzed limbs to restore function. In this study, we quantified performance of an intuitive, cortically-controlled, transcutaneous FES system on standardized object manipulation tasks from the Grasp and Release Test (GRT). We found that a tetraplegic individual could use the system to control up to seven functional hand movements, each with >95% individual accuracy. He was able to select one movement from the possible seven movements available to him and use it to appropriately manipulate all GRT objects in real-time using naturalistic grasps. With the use of the system, the participant not only improved his GRT performance over his baseline, demonstrating an increase in number of transfers for all objects except the
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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.