Evidence map›Paper›PMID 41019368›Full record

ArticleiScience2025

A single low-dimensional neural component of spinal motor neuron activity explains force generation across repetitive isometric tasks.

Hélio V Cabral, J Greig Inglis, Elmira Pourreza, Milena A Dos Santos, Caterina Cosentino, David O'Reilly, Ioannis Delis, Francesco Negro

Abstract read
In one paragraph

Article in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Hélio V CabralDepartment of Clinical and Experimental Sciences, Università degli Studi di Brescia, Brescia, Italy.
J Greig InglisDepartment of Clinical and Experimental Sciences, Università degli Studi di Brescia, Brescia, Italy.
Elmira PourrezaDepartment of Clinical and Experimental Sciences, Università degli Studi di Brescia, Brescia, Italy.
Milena A Dos SantosDepartment of Clinical and Experimental Sciences, Università degli Studi di Brescia, Brescia, Italy.
Caterina CosentinoDepartment of Clinical and Experimental Sciences, Università degli Studi di Brescia, Brescia, Italy.
David O'ReillySchool of Biomedical Sciences, University of Leeds, Leeds, West Yorkshire, UK.
Ioannis DelisSchool of Biomedical Sciences, University of Leeds, Leeds, West Yorkshire, UK.
Francesco NegroDepartment of Clinical and Experimental Sciences, Università degli Studi di Brescia, Brescia, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Low-dimensional control is thought to underlie spinal motor neuron activity, with low-frequency oscillations in common synaptic inputs serving as the primary determinant of muscle force production. Here, we used principal-component analysis and factor analysis to investigate the role of low-dimensional motor unit components in force production during repetitive isometric tasks with similar force profiles. In both individual and synergistic human muscles, the first motor unit component explained most of the variance in smoothed discharge rates and showed higher correlations with force oscillations than the second component. Additionally, the first component, but not the second, remained highly consistent across trials. A non-linear network-information framework further confirmed these findings, revealing high motor unit network density in the first component across all muscles. These results suggest that during isometric contractions, force oscillations are primarily driven by a single dominant shared synaptic input to spinal motor neuron activity.

Indexed as

BioengineeringneuroscienceSystems neuroscience

Identifiers

PMID41019368
PMCPMC12475579

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.