ArticlePloS one2014
A brain-machine-muscle interface for restoring hindlimb locomotion after complete spinal transection in rats.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 17 citations in OpenAlex.
- Advances in Bionic Therapies for Targeting Neural Circuit Reconstruction and Integration for Spinal Cord Injury.Cellular and molecular neurobiology · 2025Review
- Non-invasive brain-spine interface: Continuous control of trans-spinal magnetic stimulation using EEG.Frontiers in bioengineering and biotechnology · 2022Article
- Development of a battery-free ultrasonically powered functional electrical stimulator for movement restoration after paralyzing spinal cord injury.Journal of neuroengineering and rehabilitation · 2019Article
- Brain-controlled modulation of spinal circuits improves recovery from spinal cord injury.Nature communications · 2018Article
- A rodent brain-machine interface paradigm to study the impact of paraplegia on BMI performance.Journal of neuroscience methods · 2018Article
- Engagement of the Rat Hindlimb Motor Cortex across Natural Locomotor Behaviors.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2016Article
- Control of an Ambulatory Exoskeleton with a Brain-Machine Interface for Spinal Cord Injury Gait Rehabilitation.Frontiers in neuroscience · 2016Article
- Adaptation to elastic loads and BMI robot controls during rat locomotion examined with point-process GLMs.Frontiers in systems neuroscience · 2015Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A brain-machine interface (BMI) is a neuroprosthetic device that can restore motor function of individuals with paralysis. Although the feasibility of BMI control of upper-limb neuroprostheses has been demonstrated, a BMI for the restoration of lower-limb motor functions has not yet been developed. The objective of this study was to determine if gait-related information can be captured from neural activity recorded from the primary motor cortex of rats, and if this neural information can be used to stimulate paralysed hindlimb muscles after complete spinal cord transection. Neural activity was recorded from the hindlimb area of the primary motor cortex of six female Sprague Dawley rats during treadmill locomotion before and after mid-thoracic transection. Before spinal transection there was a strong association between neural activity and the step cycle. This association decreased after spinal transection. However, the locomotive state (standing vs. walking) could still be successfully decoded from neural recordings made after spinal transection. A novel BMI device was developed that processed this neural information in real-time and used it to control electrical stimulation of paralysed hindlimb muscles. This system was able to elicit hindlimb muscle contractions that mimicked forelimb stepping. We propose this lower-limb BMI as a future neuroprosthesis for human paraplegics.
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Registered trials
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