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dc.contributor.authorJiang, Lei
dc.contributor.authorWoodington, Ben
dc.contributor.authorCarnicer-Lombarte, Alejandro
dc.contributor.authorMalliaras, George
dc.contributor.authorBarone, Damiano
dc.date.accessioned2022-04-19T13:15:43Z
dc.date.available2022-04-19T13:15:43Z
dc.date.issued2022-04-14
dc.date.submitted2021-11-11
dc.identifier.issn1741-2560
dc.identifier.otherjneac605f
dc.identifier.otherac605f
dc.identifier.otherjne-105016.r2
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/336130
dc.description.abstractBioelectronic stimulation of the spinal cord has demonstrated significant progress in the restoration of motor function in spinal cord injury (SCI). The proximal, uninjured spinal cord presents a viable target for the recording and generation of control signals to drive targeted stimulation. Signals have been directly recorded from the spinal cord in behaving animals and correlated with limb kinematics. Advances in flexible materials, electrode impedance and signal analysis will allow spinal cord recording (SCR) to be used in next-generation neuroprosthetics. In this review, we summarize the technological advances enabling progress in SCR and describe systematically the clinical challenges facing spinal cord bioelectronic interfaces and potential solutions, from device manufacture, surgical implantation to chronic effects of foreign body reaction and stress-strain mismatches between electrodes and neural tissue. Finally, we establish our vision of bi-directional closed-loop spinal cord bioelectronic bypass interfaces that enable the communication of disrupted sensory signals and restoration of motor function in SCI.
dc.description.sponsorshipSingapore National Medical Research Council Research Training Fellowship
dc.languageen
dc.publisherIOP Publishing
dc.subjectTopical Review
dc.subjectspinal cord
dc.subjectbioelectronics
dc.subjectinterfaces
dc.subjectneural
dc.subjectrecordings
dc.titleSpinal cord bioelectronic interfaces: opportunities in neural recording and clinical challenges.
dc.typeArticle
dc.date.updated2022-04-19T13:15:41Z
prism.issueIdentifier2
prism.publicationNameJ Neural Eng
prism.volume19
dc.identifier.doi10.17863/CAM.83555
dcterms.dateAccepted2022-03-23
rioxxterms.versionofrecord10.1088/1741-2552/ac605f
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0
dc.contributor.orcidJiang, Lei [0000-0003-2727-0863]
dc.contributor.orcidWoodington, Ben [0000-0002-8878-5644]
dc.contributor.orcidCarnicer-Lombarte, Alejandro [0000-0002-5650-4692]
dc.contributor.orcidMalliaras, George [0000-0002-4582-8501]
dc.contributor.orcidBarone, Damiano [0000-0002-0091-385X]
dc.identifier.eissn1741-2552
pubs.funder-project-idNational Medical Research Council (MOH-000487)
cam.issuedOnline2022-04-14


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