The modulation of human motoneuron discharge patterns with contraction force in resistance- and endurance-trained individuals

Motoneurons adapt to both resistance and endurance training in reduced animal preparations, with adaptations seemingly more apparent in higher-threshold neurons, but similar evidence in humans is lacking. We compared identified motor unit (MU) discharge patterns from decomposed electromyography signals acquired during triangular dorsiflexion contractions up to 70% of maximal voluntary force (MVF) between resistance-trained, endurance-trained, and untrained individuals (<i>n</i> = 23 per group). We estimated the contribution of intrinsic motoneuron properties and the proportion of excitatory, inhibitory, and neuromodulatory inputs to motoneuron discharge across contraction intensities in each group. Participants also performed a "sombrero" task (triangular contractions superimposed onto sustained ones) designed to challenge inhibitory control of dendritic persistent inward currents (PICs). Both trained groups demonstrated higher MU discharge rates with greater ascending discharge rate modulation during higher contraction forces (≥50% MVF), which were accompanied by more linear MU discharge patterns with steeper slopes after PIC-induced acceleration. The lack of differences in discharge rate hysteresis (triangular contractions) and the discharge rate characteristics during sombrero contractions suggests that neuromodulatory input is not different between groups. Conversely, since resistance-compared with endurance-trained individuals exhibited steeper PIC-induced acceleration during lower contraction forces (≤50% MVF), there is a possibility of enhanced PIC activation at onset. Collectively, the greater discharge rates and more linear but steeper MU discharge patterns in the trained groups suggest a more reciprocal (i.e., push-pull) excitation-inhibition coupling during higher contraction forces, leading to enhanced net excitatory synaptic input to the motor pool, which might underpin greater force production of trained individuals.<b>NEW & NOTEWORTHY</b> Physical training alters intrinsic motoneuron properties in reduced animal preparations, especially in neurons recruited at high excitation levels. Here, we show that individuals with a history of resistance or endurance training exhibit higher discharge rates that are more linear during forceful contractions. This likely reflects a more reciprocal/push-pull excitation-inhibition coupling, leading to greater net excitation to the motor pool that may contribute to greater force production observed in trained individuals.

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Publication Details

Journal
Journal of Applied Physiology
Published
2026-01-14
DOI
https://doi.org/10.1152/japplphysiol.00835.2025
Citations
1
Primary Topic
Muscle activation and electromyography studies
Type
article
Field-Weighted Citation Impact
21.28
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article

The modulation of human motoneuron discharge patterns with contraction force in resistance- and endurance-trained individuals

Kapil Dev Tyagi, H. Thomason, Gregory E. P. Pearcey, Michael Ho et al.
1 citations
Journal of Applied Physiology
Muscle activation and electromyography studies
21.28
article

The modulation of human motoneuron discharge patterns with contraction force in resistance- and endurance-trained individuals

Kapil Dev Tyagi, H. Thomason, Gregory E. P. Pearcey, Michael Ho, James A. Beauchamp, Tamara Valenčič, Jakob Škarabot, Benjamin M. Nazaroff, Christopher D. Connelly
article en
1 citations

Abstract

Motoneurons adapt to both resistance and endurance training in reduced animal preparations, with adaptations seemingly more apparent in higher-threshold neurons, but similar evidence in humans is lacking. We compared identified motor unit (MU) discharge patterns from decomposed electromyography signals acquired during triangular dorsiflexion contractions up to 70% of maximal voluntary force (MVF) between resistance-trained, endurance-trained, and untrained individuals (<i>n</i> = 23 per group). We estimated the contribution of intrinsic motoneuron properties and the proportion of excitatory, inhibitory, and neuromodulatory inputs to motoneuron discharge across contraction intensities in each group. Participants also performed a "sombrero" task (triangular contractions superimposed onto sustained ones) designed to challenge inhibitory control of dendritic persistent inward currents (PICs). Both trained groups demonstrated higher MU discharge rates with greater ascending discharge rate modulation during higher contraction forces (≥50% MVF), which were accompanied by more linear MU discharge patterns with steeper slopes after PIC-induced acceleration. The lack of differences in discharge rate hysteresis (triangular contractions) and the discharge rate characteristics during sombrero contractions suggests that neuromodulatory input is not different between groups. Conversely, since resistance-compared with endurance-trained individuals exhibited steeper PIC-induced acceleration during lower contraction forces (≤50% MVF), there is a possibility of enhanced PIC activation at onset. Collectively, the greater discharge rates and more linear but steeper MU discharge patterns in the trained groups suggest a more reciprocal (i.e., push-pull) excitation-inhibition coupling during higher contraction forces, leading to enhanced net excitatory synaptic input to the motor pool, which might underpin greater force production of trained individuals.<b>NEW & NOTEWORTHY</b> Physical training alters intrinsic motoneuron properties in reduced animal preparations, especially in neurons recruited at high excitation levels. Here, we show that individuals with a history of resistance or endurance training exhibit higher discharge rates that are more linear during forceful contractions. This likely reflects a more reciprocal/push-pull excitation-inhibition coupling, leading to greater net excitation to the motor pool that may contribute to greater force production observed in trained individuals.

Journal of Applied PhysiologyVol. 140(2)
Memorial University of Newfoundland (CA), Loughborough University (GB), Carnegie Mellon University (US)
Openalex Percentile: Top 3%
Muscle activation and electromyography studies
21.28
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