Evidence map›Paper›PMID 42910500›Full record

ArticleeLife2026

Motor unit mechanisms of speed control in mouse locomotion.

Kyle Thomas, Rhuna Gibbs, Hugo Marques, Megan R Carey, Samuel J Sober

Abstract read
In one paragraph

Article in eLife, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Kyle ThomasGraduate Program in Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, United States.ORCID https://orcid.org/0000-0002-2985-4718
Rhuna GibbsDepartment of Biology, Emory University, Atlanta, United States.
Hugo MarquesChampalimaud Neuroscience Programme, Champalimaud Centre for the Unknown, Lisbon, Portugal.ORCID https://orcid.org/0000-0002-8709-4841
Megan R CareyChampalimaud Neuroscience Programme, Champalimaud Centre for the Unknown, Lisbon, Portugal.ORCID https://orcid.org/0000-0002-4499-1657
Samuel J SoberDepartment of Biology, Emory University, Atlanta, United States.ORCID https://orcid.org/0000-0002-1140-7469

Funding

Next-Generation Tools to Measure and Manipulate Muscle Activity Across Species and BehaviorsR01NS109237 · NINDS · EMORY UNIVERSITY · PI Muhannad Bakir, Samuel Sober · 2019 to 2026
$3.8M
Center for Advanced Muscle BioElectronics (CAMBER)U24NS126936 · NINDS · EMORY UNIVERSITY · PI Samuel Sober · 2023 to 2026
$3.5M
European Research Council 866237Fundação para a Ciência e a Tecnologia PTDC/MED_NEU/30890/2017Fundação para a Ciência e a Tecnologia SFRH/BPD/119404/2016National Science Foundation Graduate Research Fellowship Program DGE-1937971NINDS NIH HHS R01NS109237NINDS NIH HHS U24NS126936Simons Foundation Simons-Emory International Consortium on Motor Control
6 · The paper itself

Abstract

During locomotion, the coordinated activity of dozens of muscles shapes the kinematic features of each stride, including systematic changes in limb movement across walking speed. Motor units, each of which consists of a single motor neuron and the muscle fibers it innervates, contribute to the total activation of each muscle through their recruitment and firing rate when active. However, it remains unknown how the nervous system controls locomotor speed by changing the firing of individual motor units. To address this, we combined quantitative behavioral analysis of mouse locomotion with single motor unit recordings from the lateral and long heads of the triceps brachii, which drive monoarticular extension of the elbow and biarticular movements of the elbow and shoulder, respectively. In contrast to prior studies employing bulk electromyography (EMG) to examine muscle activity, our recordings revealed the diversity of spike patterning across motor units, as well as systematic differences in motor unit activity across muscles and locomotor speeds. First, motor unit activity differed significantly across the lateral and long heads, suggesting differential control of these two closely apposed elbow extensor muscles. Second, we found that individual units were recruited probabilistically (during only a subset of strides), showing that the highly repeatable bulk EMG signals observed across strides, in fact, reflect varying subsets of individual motor units. Finally, although recruitment probability and firing rate both increased at faster walking speeds, increases in recruitment were proportionally larger than rate changes, and recruitment of individual units accompanied changes in limb kinematics. Together, these results reveal how the firing of individual motor units varies systematically across muscles and walking speeds to produce flexible locomotor behavior.

Indexed as

LocomotionMotor NeuronsMuscle, SkeletalAnimalsBiomechanical PhenomenaElectromyographyFemaleMaleMiceMice, Inbred C57BLRecruitment, NeurophysiologicalEMGlocomotionmotor unitmousemuscleneurosciencespinal cord

Identifiers

PMID42910500
PMCPMC13690341

What OpenQuestion holds

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Registered trials

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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.