ArticleFrontiers in neuroscience2022
Modular organization of locomotor networks in people with severe spinal cord injury.
Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed, 10 citations in OpenAlex.
- State-dependent neural representations of muscle synergies in the spinal cord revealed by optogenetic stimulation.The Journal of physiology · 2025Article
- Exploring the cortical involvement in sensorimotor integration during early stages of independent walking.Experimental brain research · 2025Article
- Effects of spinal transection and locomotor speed on muscle synergies of the cat hindlimb.The Journal of physiology · 2025Article
- Motor synergy and energy efficiency emerge in whole-body locomotion learning.Scientific reports · 2025Article
- Kinematic-Muscular Synergies Describe Human Locomotion with a Set of Functional Synergies.Biomimetics (Basel, Switzerland) · 2024Article
- Motor patterns of patients with spinal muscular atrophy suggestive of sensory and corticospinal contributions to the development of locomotor muscle synergies.Journal of neurophysiology · 2024Article
- Exoskeleton gait training with spinal cord neuromodulation.Frontiers in human neuroscience · 2023Review
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
Introduction: Previous 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. Methods: To 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). Results: Results 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. Discussion: These 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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