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dc.contributor.authorAmundsen Huffmaster, Sommer L.
dc.contributor.authorVan Acker III, Gustaf M.
dc.contributor.authorLuchies, Carl W.
dc.contributor.authorCheney, Paul D.
dc.date.accessioned2019-11-25T23:24:56Z
dc.date.available2019-11-25T23:24:56Z
dc.date.issued2018-10-10
dc.identifier.citationSommer L. Amundsen Huffmaster, Gustaf M. Van Acker, Carl W. Luchies, Paul D. Cheney Journal of Neuroscience 10 October 2018, 38 (41) 8759-8771; DOI: 10.1523/JNEUROSCI.2519-17.2018en_US
dc.identifier.urihttp://hdl.handle.net/1808/29821
dc.descriptionThis work is licensed under a Creative Commons Attribution 4.0 International License.en_US
dc.description.abstractNeuromuscular control of voluntary movement may be simplified using muscle synergies similar to those found using non-negative matrix factorization. We recently identified synergies in electromyography (EMG) recordings associated with both voluntary movement and movement evoked by high-frequency long-duration intracortical microstimulation applied to the forelimb representation of the primary motor cortex (M1). The goal of this study was to use stimulus-triggered averaging (StTA) of EMG activity to investigate the synergy profiles and weighting coefficients associated with poststimulus facilitation, as synergies may be hard-wired into elemental cortical output modules and revealed by StTA. We applied StTA at low (LOW, ∼15 μA) and high intensities (HIGH, ∼110 μA) to 247 cortical locations of the M1 forelimb region in two male rhesus macaques while recording the EMG of 24 forelimb muscles. Our results show that 10–11 synergies accounted for 90% of the variation in poststimulus EMG facilitation peaks from the LOW-intensity StTA dataset while only 4–5 synergies were needed for the HIGH-intensity dataset. Synergies were similar across monkeys and current intensities. Most synergy profiles strongly activated only one or two muscles; all joints were represented and most, but not all, joint directions of motion were represented. Cortical maps of the synergy weighting coefficients suggest only a weak organization. StTA of M1 resulted in highly diverse muscle activations, suggestive of the limiting condition of requiring a synergy for each muscle to account for the patterns observed.en_US
dc.publisherSociety for Neuroscienceen_US
dc.rightsCopyright © 2018 The Author(s). This work is licensed under a Creative Commons Attribution 4.0 International License.en_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.subjectEMGen_US
dc.subjectICMSen_US
dc.subjectMotor cortexen_US
dc.subjectMuscle synergiesen_US
dc.subjectNonnegative matrix factorizationen_US
dc.titleMuscle Synergies Obtained from Comprehensive Mapping of the Cortical Forelimb Representation Using Stimulus Triggered Averaging of EMG Activityen_US
dc.typeArticleen_US
kusw.kuauthorAmundsen Huffmaster, Sommer L.
kusw.kuauthorLuchies, Carl W.
kusw.kudepartmentMechanical Engineeringen_US
dc.identifier.doi10.1523/JNEUROSCI.2519-17.2018en_US
dc.identifier.orcidhttps://orcid.org/0000-0001-8079-328Xen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-3456-654Xen_US
kusw.oaversionScholarly/refereed, publisher versionen_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US
dc.identifier.pmid30150363en_US
dc.rights.accessrightsopenAccessen_US


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Copyright © 2018 The Author(s). This work is licensed under a Creative Commons Attribution 4.0 International License.
Except where otherwise noted, this item's license is described as: Copyright © 2018 The Author(s). This work is licensed under a Creative Commons Attribution 4.0 International License.