The discharge characteristics of motor units innervating functionally paralyzed muscles

Souza de Oliveira D, Carbonaro M, Raiteri BJ, Botter A, Ponfick M, Del Vecchio A (2025)

Publication Type: Journal article

Publication year: 2025

Journal

Journal of Neurophysiology American Physiological Society

Book Volume: 133

Pages Range: 343-357

Journal Issue: 2

DOI: 10.1152/jn.00389.2024

Abstract

For individuals with motor complete spinal cord injury (SCI), previous works have shown that spared motor neurons below the injury level can still be voluntarily controlled. In this study, we investigated the behavior of these neurons after SCI by analyzing neural and spatial properties of individual motor units using high-density surface electromyography (HDsEMG) and ultrasound imaging. The dataset for this study is based on motor unit data from our previous work (Oliveira et al. Brain 147: 3583–3595, 2024). Eight participants with chronic motor complete SCI and twelve uninjured controls attempted multiple hand movements, guided by a virtual hand, while we recorded forearm muscle activity. We analyzed the common synaptic input to motor neurons with a factorization method and found two dominant motor unit modes in both the SCI and control groups. Each mode was strongly correlated with the virtual hand’s flexion or extension movements. The delay between flexion and extension movements and the motor unit modes was similar between groups, suggesting preserved common input to motor neurons after SCI. We classified motor units into task-modulated or nonmodulated (i.e., tonic or irregularly firing) based on their discharge patterns and phase difference with virtual hand kinematics and found a higher proportion of nonmodulated motor units in the SCI group. At the motor unit action potential level, we found larger motor unit territories after SCI. Finally, we observed distinct movements of paralyzed muscles with concurrent HDsEMG and ultrasound imaging, indicating the presence of highly functional motor units with distinct spared territories after SCI.

Authors with CRIS profile

Daniela Souza de Oliveira Department Artificial Intelligence in Biomedical Engineering (AIBE) Alessandro Del Vecchio Juniorprofessur für Neuromuscular Physiology and Neural Interfacing

Involved external institutions

Politecnico di Torino IT Italy (IT) Ruhr-Universität Bochum (RUB) DE Germany (DE) Krankenhaus Rummelsberg DE Germany (DE)

How to cite

APA:

Souza de Oliveira, D., Carbonaro, M., Raiteri, B.J., Botter, A., Ponfick, M., & Del Vecchio, A. (2025). The discharge characteristics of motor units innervating functionally paralyzed muscles. Journal of Neurophysiology, 133(2), 343-357. https://doi.org/10.1152/jn.00389.2024

MLA:

Souza de Oliveira, Daniela, et al. "The discharge characteristics of motor units innervating functionally paralyzed muscles." Journal of Neurophysiology 133.2 (2025): 343-357.

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