Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/80063
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dc.contributorDepartment of Rehabilitation Sciences-
dc.creatorAlam M-
dc.creatorChen X-
dc.creatorZhang Z-
dc.creatorLi Y-
dc.creatorHe J-
dc.date.accessioned2018-12-21T07:14:49Z-
dc.date.available2018-12-21T07:14:49Z-
dc.identifier.urihttp://hdl.handle.net/10397/80063-
dc.language.isoenen_US
dc.publisherPublic Library of Scienceen_US
dc.rights© 2014 Alam et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en_US
dc.rightsThe following publication Alam, M., Chen, X., Zhang, Z., Li, Y., & He, J. (2014). A brain-machine-muscle interface for restoring hindlimb locomotion after complete spinal transection in rats. PLoS ONE, 9(8), e103764, 1-15 is available at https://dx.doi.org/10.1371/journal.pone.0103764en_US
dc.titleA brain-machine-muscle interface for restoring hindlimb locomotion after complete spinal transection in ratsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1-
dc.identifier.epage15-
dc.identifier.volume9-
dc.identifier.issue8-
dc.identifier.doi10.1371/journal.pone.0103764-
dcterms.abstractA 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.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationPLoS one, 2014, v. 9, no. 8, e103764, p. 1-15-
dcterms.isPartOfPLoS one-
dcterms.issued2014-
dc.identifier.scopus2-s2.0-84905484362-
dc.identifier.pmid25084446-
dc.identifier.eissn1932-6203-
dc.identifier.artne103764-
dc.description.validate201812 bcrc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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