ReviewNeurobiology of disease2015
Brain-controlled muscle stimulation for the restoration of motor function.
Review in Neurobiology of disease, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 38 citations in OpenAlex.
- Non-Invasive Activation of Cervical Spinal Networks after Severe Paralysis.Journal of neurotrauma · 2018Trial
- A Bidirectional Neural Interface With Direct On-Device Neuromorphic Decoding for Closed-Loop Optogenetics.bioRxiv : the preprint server for biology · 2026Article
- 3D directional tuning in the orofacial sensorimotor cortex during natural feeding and drinking.eLife · 2025Article
- 3D directional tuning in the orofacial sensorimotor cortex during natural feeding and drinking.bioRxiv : the preprint server for biology · 2025Article
- 5-year follow-up of a fully implanted brain-computer interface in a spinal cord injury patient.Journal of neural engineering · 2025Article
- An Investigation of Manifold-Based Direct Control for a Brain-to-Body Neural Bypass.IEEE open journal of engineering in medicine and biology · 2024Article
- Revealing the unique features of each individual's muscle activation signatures.Journal of the Royal Society, Interface · 2021Article
- A Wireless Electro-Optic Platform for Multimodal Electrophysiology and Optogenetics in Freely Moving Rodents.Frontiers in neuroscience · 2021Article
- Decoding hind limb kinematics from neuronal activity of the dorsal horn neurons using multiple level learning algorithm.Scientific reports · 2018Article
- Development of an Activity-Dependent Epidural Stimulation System in Freely Moving Spinal Cord Injured Rats: A Proof of Concept Study.Frontiers in neuroscience · 2018Article
- Dexterous Control of Seven Functional Hand Movements Using Cortically-Controlled Transcutaneous Muscle Stimulation in a Person With Tetraplegia.Frontiers in neuroscience · 2018Article
- Prediction of specific hand movements using electroencephalographic signals.The journal of spinal cord medicine · 2017Article
- Review: Human Intracortical Recording and Neural Decoding for Brain-Computer Interfaces.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Loss of the ability to move, as a consequence of spinal cord injury or neuromuscular disorder, has devastating consequences for the paralyzed individual, and great economic consequences for society. Functional electrical stimulation (FES) offers one means to restore some mobility to these individuals, improving not only their autonomy, but potentially their general health and well-being as well. FES uses electrical stimulation to cause the paralyzed muscles to contract. Existing clinical systems require the stimulation to be preprogrammed, with the patient typically using residual voluntary movement of another body part to trigger and control the patterned stimulation. The rapid development of neural interfacing in the past decade offers the promise of dramatically improved control for these patients, potentially allowing continuous control of FES through signals recorded from motor cortex, as the patient attempts to control the paralyzed body part. While application of these 'brain-machine interfaces' (BMIs) has undergone dramatic development for control of computer cursors and even robotic limbs, their use as an interface for FES has been much more limited. In this review, we consider both FES and BMI technologies and discuss the prospect for combining the two to provide important new options for paralyzed individuals.
Indexed as
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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.