ArticleScientific reports2016
Using an Artificial Neural Bypass to Restore Cortical Control of Rhythmic Movements in a Human with Quadriplegia.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 22 papers.
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
Restoring Motor and Sensory Hand Function in Tetraplegia Using a Neural Bypass System
High Definition Neuromuscular Stimulation in Tetraplegia
Who cites it
22 citing papers in PubMed, 64 citations in OpenAlex.
- Bypass neural interfaces for paralysis: clinical translation, challenges and future directions.Journal of neuroengineering and rehabilitation · 2026Review
- Degradation-aware neural imputation: Advancing decoding stability in brain machine interfaces.APL bioengineering · 2025Article
- Next generation bioelectronic medicine: making the case for non-invasive closed-loop autonomic neuromodulation.Bioelectronic medicine · 2025Review
- Wearable high-density EMG sleeve for complex hand gesture classification and continuous joint angle estimation.Scientific reports · 2024Article
- Boosting brain-computer interfaces with functional electrical stimulation: potential applications in people with locked-in syndrome.Journal of neuroengineering and rehabilitation · 2023Review
- Intracortical brain-computer interfaces in primates: a review and outlook.Biomedical engineering letters · 2023Review
- BCI-activated electrical stimulation in children with perinatal stroke and hemiparesis: A pilot study.Frontiers in human neuroscience · 2023Article
- Increasing Robustness of Brain-Computer Interfaces Through Automatic Detection and Removal of Corrupted Input Signals.Frontiers in neuroscience · 2022Article
- Historical perspectives, challenges, and future directions of implantable brain-computer interfaces for sensorimotor applications.Bioelectronic medicine · 2021Review
- Application of a neural interface for restoration of leg movements: Intra-spinal stimulation using the brain electrical activity in spinally injured rabbits.Journal of applied biomedicine · 2020Article
- Restoring Movement in Paralysis with a Bioelectronic Neural Bypass Approach: Current State and Future Directions.Cold Spring Harbor perspectives in medicine · 2019Review
- Closed-loop neuromuscular electrical stimulation using feedforward-feedback control and textile electrodes to regulate grasp force in quadriplegia.Bioelectronic medicine · 2019Article
- Human motor decoding from neural signals: a review.BMC biomedical engineering · 2019Review
- Meeting brain-computer interface user performance expectations using a deep neural network decoding framework.Nature medicine · 2018Article
- A Mosquito Inspired Strategy to Implant Microprobes into the Brain.Scientific reports · 2018Article
- A Characterization of Brain-Computer Interface Performance Trade-Offs Using Support Vector Machines and Deep Neural Networks to Decode Movement Intent.Frontiers in neuroscience · 2018Article
- Extracting wavelet based neural features from human intracortical recordings for neuroprosthetics applications.Bioelectronic medicine · 2018Article
- Neural Prosthetics:A Review of Empirical vs. Systems Engineering Strategies.Applied bionics and biomechanics · 2018Review
- Dexterous Control of Seven Functional Hand Movements Using Cortically-Controlled Transcutaneous Muscle Stimulation in a Person With Tetraplegia.Frontiers in neuroscience · 2018Article
- Integration of Nanobots Into Neural Circuits As a Future Therapy for Treating Neurodegenerative Disorders.Frontiers in neuroscience · 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
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neuroprosthetic technology has been used to restore cortical control of discrete (non-rhythmic) hand movements in a paralyzed person. However, cortical control of rhythmic movements which originate in the brain but are coordinated by Central Pattern Generator (CPG) neural networks in the spinal cord has not been demonstrated previously. Here we show a demonstration of an artificial neural bypass technology that decodes cortical activity and emulates spinal cord CPG function allowing volitional rhythmic hand movement. The technology uses a combination of signals recorded from the brain, machine-learning algorithms to decode the signals, a numerical model of CPG network, and a neuromuscular electrical stimulation system to evoke rhythmic movements. Using the neural bypass, a quadriplegic participant was able to initiate, sustain, and switch between rhythmic and discrete finger movements, using his thoughts alone. These results have implications in advancing neuroprosthetic technology to restore complex movements in people living with paralysis.
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.