Physiological recruitment of motor units by high-frequency electrical stimulation of afferent pathways

Jakob L. Dideriksen, Silvia Muceli, Strahinja Dosen, Christopher M. Laine, Dario Farina*

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

26 Citations (Scopus)

Abstract

Neuromuscular electrical stimulation (NMES) is commonly used in rehabilitation, but electrically evoked muscle activation is in several ways different from voluntary muscle contractions. These differences lead to challenges in the use of NMES for restoring muscle function. We investigated the use of low-current, high-frequency nerve stimulation to activate the muscle via the spinal motoneuron (MN) pool to achieve more natural activation patterns. Using a novel stimulation protocol, the H-reflex responses to individual stimuli in a train of stimulation pulses at 100 Hz were reliably estimated with surface EMG during low-level contractions. Furthermore, single motor unit recruitment by afferent stimulation was analyzed with intramuscular EMG. The results showed that substantially elevated H-reflex responses were obtained during 100-Hz stimulation with respect to a lower stimulation frequency. Furthermore, motor unit recruitment using 100-Hz stimulation was not fully synchronized, as it occurs in classic NMES, and the discharge rates differed among motor units because each unit was activated only after a specific number of stimuli. The most likely mechanism behind these observations is the temporal summation of subthreshold excitatory postsynaptic potentials from Ia fibers to the MNs. These findings and their interpretation were also verified by a realistic simulation model of afferent stimulation of a MN population. These results suggest that the proposed stimulation strategy may allow generation of considerable levels of muscle activation by motor unit recruitment that resembles the physiological conditions.

Original languageEnglish
JournalJournal of Applied Physiology
Volume118
Issue number3
Pages (from-to)365-376
Number of pages12
ISSN8750-7587
DOIs
Publication statusPublished - 1 Feb 2015
Externally publishedYes

Keywords

  • Computational modeling
  • Electromyography
  • H-reflex
  • Motoneuron
  • Neuromuscular electrical stimulation

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