Evidence map›Paper›PMID 39651956›Full record

ArticleeLife2024

The identification of extensive samples of motor units in human muscles reveals diverse effects of neuromodulatory inputs on the rate coding.

Simon Avrillon, François Hug, Roger M Enoka, Arnault H D Caillet, Dario Farina

Abstract read
In one paragraph

Article in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Projection of Cortical Beta Band Oscillations to a Motor Neuron Pool across the Full Range of Recruitment.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Simon AvrillonDepartment of Bioengineering, Faculty of Engineering, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-2226-3528
François HugUniversité Côte d'Azur, LAMHESS, Nice, France.
Roger M EnokaDepartment of Integrative Physiology, University of Colorado Boulder, Boulder, United States.
Arnault H D CailletDepartment of Bioengineering, Faculty of Engineering, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0001-6146-1829
Dario FarinaDepartment of Bioengineering, Faculty of Engineering, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-7883-2697

Funding

Agence Nationale de la Recherche ANR-16-IDEX-0007Agence Nationale de la Recherche ANR-24-CE17-5805Biotechnology and Biological Sciences Research Council BB/V00896XEngineering and Physical Sciences Research Council EP/T020970European Research Council #810346Future project managed by the French National Research Agency ANR-15-IDEX-01National Multiple Sclerosis Society RG-2206-39688
6 · The paper itself

Abstract

Movements are performed by motoneurons transforming synaptic inputs into an activation signal that controls muscle force. The control signal emerges from interactions between ionotropic and neuromodulatory inputs to motoneurons. Critically, these interactions vary across motoneuron pools and differ between muscles. To provide the most comprehensive framework to date of motor unit activity during isometric contractions, we identified the firing activity of extensive samples of motor units in the tibialis anterior (129 ± 44 per participant; n=8) and the vastus lateralis (130 ± 63 per participant; n=8) muscles during isometric contractions of up to 80% of maximal force. From this unique dataset, the rate coding of each motor unit was characterised as the relation between its instantaneous firing rate and the applied force, with the assumption that the linear increase in isometric force reflects a proportional increase in the net synaptic excitatory inputs received by the motoneuron. This relation was characterised with a natural logarithm function that comprised two stages. The initial stage was marked by a steep acceleration of firing rate, which was greater for low- than medium- and high-threshold motor units. The second stage comprised a linear increase in firing rate, which was greater for high- than medium- and low-threshold motor units. Changes in firing rate were largely non-linear during the ramp-up and ramp-down phases of the task, but with significant prolonged firing activity only evident for medium-threshold motor units. Contrary to what is usually assumed, our results demonstrate that the firing rate of each motor unit can follow a large variety of trends with force across the pool. From a neural control perspective, these findings indicate how motor unit pools use gain control to transform inputs with limited bandwidths into an intended muscle force.

Indexed as

Isometric ContractionMotor NeuronsMuscle, SkeletalAction PotentialsAdultElectromyographyFemaleHumansMaleYoung Adultelectromyographyhumanisometric contractionsmotor unitsneuroscience

Identifiers

PMID39651956
PMCPMC11627553

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.