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Modular organization of locomotor networks in people with severe spinal cord injury
Journal article   Open access   Peer reviewed

Modular organization of locomotor networks in people with severe spinal cord injury

Soo Yeon Sun, Simon F. Giszter, Susan J. Harkema and Claudia A. Angeli
Frontiers in neuroscience, v 16, pp 1041015-1041015
07 Dec 2022
PMID: 36570830
url
https://www.frontiersin.org/articles/10.3389/fnins.2022.1041015/pdfView
Published, Version of Record (VoR) Open
url
https://doi.org/10.3389/fnins.2022.1041015View
Published, Version of Record (VoR) Open

Abstract

Life Sciences & Biomedicine Neurosciences Neurosciences & Neurology Science & Technology
IntroductionPrevious studies support modular organization of locomotor circuitry contributing to the activation of muscles in a spatially and temporally organized manner during locomotion. Human spinal circuitry may reorganize after spinal cord injury; however, it is unclear if reorganization of spinal circuitry post-injury affects the modular organization. Here we characterize the modular synergy organization of locomotor muscle activity expressed during assisted stepping in subjects with complete and incomplete spinal cord injury (SCI) of varying chronicity, before any explicit training regimen. We also investigated whether the synergy characteristics changed in two subjects who achieved independent walking after training with spinal cord epidural stimulation. MethodsTo capture synergy structures during stepping, individuals with SCI were stepped on a body-weight supported treadmill with manual facilitation, while electromyography (EMGs) were recorded from bilateral leg muscles. EMGs were analyzed using non-negative matrix factorization (NMF) and independent component analysis (ICA) to identify synergy patterns. Synergy patterns from the SCI subjects were compared across different clinical characteristics and to non-disabled subjects (NDs). ResultsResults for both NMF and ICA indicated that the subjects with SCI were similar among themselves, but expressed a greater variability in the number of synergies for criterion variance capture compared to NDs, and weaker correlation to NDs. ICA yielded a greater number of muscle synergies than NMF. Further, the clinical characteristics of SCI subjects and chronicity did not predict any significant differences in the spatial synergy structures despite any neuroplastic changes. Further, post-training synergies did not become closer to ND synergies in two individuals. DiscussionThese findings suggest fundamental differences between motor modules expressed in SCIs and NDs, as well as a striking level of spatial and temporal synergy stability in motor modules in the SCI population, absent the application of specific interventions.

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Collaboration types
Domestic collaboration
Web of Science research areas
Neurosciences
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