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dc.contributor.authorSrinivasan, Shriya S
dc.contributor.authorMaimon, Benjamin E
dc.contributor.authorDiaz, Maurizio
dc.contributor.authorSong, Hyungeun
dc.contributor.authorHerr, Hugh M
dc.date.accessioned2021-10-27T20:09:43Z
dc.date.available2021-10-27T20:09:43Z
dc.date.issued2018
dc.identifier.issn2041-1723
dc.identifier.urihttps://hdl.handle.net/1721.1/134892
dc.description.abstract© 2018, The Author(s). Optogenetics has been used to orchestrate temporal- and tissue-specific control of neural tissues and offers a wealth of unique advantages for neuromuscular control. Here, we establish a closed-loop functional optogenetic stimulation (CL-FOS) system to control ankle joint position in murine models. Using the measurement of either joint angle or fascicle length as a feedback signal, we compare the controllability of CL-FOS to closed-loop functional electrical stimulation (CL-FES) and demonstrate significantly greater accuracy, lower rise times and lower overshoot percentages. We demonstrate orderly recruitment of motor units and reduced fatigue when performing cyclical movements with CL-FOS compared with CL-FES. We develop and investigate a 3-phase, photo-kinetic model to elucidate the underlying mechanisms for temporal variations in optogenetically activated neuromusculature during closed-loop control experiments. Methods and insights from this study lay the groundwork for the development of closed-loop optogenetic neuromuscular stimulation therapies and devices for peripheral limb control.
dc.publisherSpringer Science and Business Media LLC
dc.relation.isversionofhttp://dx.doi.org/10.1038/s41467-018-07721-w
dc.rightsCreative Commons Attribution 4.0 International license
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceNature
dc.titleClosed-loop functional optogenetic stimulation
dc.typeArticle
dc.identifier.citationSrinivasan, Shriya S., Benjamin E. Maimon, Maurizio Diaz, Hyungeun Song, and Hugh M. Herr. “Closed-Loop Functional Optogenetic Stimulation.” Nature Communications 9, no. 1 (December 2018). doi:10.1038/s41467-018-07721-w.
dc.contributor.departmentMassachusetts Institute of Technology. Media Laboratory
dc.contributor.departmentMassachusetts Institute of Technology. Center for Extreme Bionics
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technology
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.relation.journalNature Communications
dc.eprint.versionFinal published version
dc.type.urihttp://purl.org/eprint/type/JournalArticle
eprint.statushttp://purl.org/eprint/status/PeerReviewed
dc.date.updated2019-03-01T14:07:58Z
dspace.orderedauthorsSrinivasan, SS; Maimon, BE; Diaz, M; Song, H; Herr, HM
dspace.embargo.termsN
dspace.date.submission2019-04-04T15:32:54Z
mit.journal.volume9
mit.journal.issue1
mit.metadata.statusAuthority Work and Publication Information Needed


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