Evidence map›Paper›PMID 38629162›Full record

ArticleJournal of neurophysiology2024

Synaptic inputs to motor neurons underlying muscle coactivation for functionally different tasks have different spectral characteristics.

Daniele Borzelli, Taian M M Vieira, Alberto Botter, Marco Gazzoni, Francesco Lacquaniti, Andrea d'Avella

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of neurophysiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.0field-weighted citation impact, top 9% of its field
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

11 citing papers in PubMed, 16 citations in OpenAlex.

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  6. Explaining human motor coordination via the synergy expansion hypothesis.Proceedings of the National Academy of Sciences of the United States of America · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Daniele BorzelliDepartment of Biomedical, Dental, Morphological and Functional Imaging Sciences, University of Messina, Messina, Italy.ORCID 0000-0002-9456-0177
Taian M M VieiraLaboratory for Engineering of the Neuromuscular System, Department of Electronics and Telecommunications, Politecnico di Torino, Turin, Italy.ORCID 0000-0002-6239-7301
Alberto BotterLaboratory for Engineering of the Neuromuscular System, Department of Electronics and Telecommunications, Politecnico di Torino, Turin, Italy.
Marco GazzoniLaboratory for Engineering of the Neuromuscular System, Department of Electronics and Telecommunications, Politecnico di Torino, Turin, Italy.ORCID 0000-0001-5939-6212
Francesco LacquanitiLaboratory of Neuromotor Physiology, IRCCS Santa Lucia Foundation, Rome, Italy.
Andrea d'AvellaDepartment of Biomedical, Dental, Morphological and Functional Imaging Sciences, University of Messina, Messina, Italy.ORCID 0000-0002-3393-4956
Politecnico di Torino · ITUniversity of Messina · ITUniversity of Rome Tor Vergata · IT

Funding

EC | ERC | HORIZON EUROPE European Research Council (ERC) project HARIA,GA No. 101070292Ministero dell'Università e della Ricerca (MUR) NRRP project MNESYS PE00000006Ministero dell'Università e della Ricerca (MUR) PRIN grant 2015HFWRYYMinistero dell'Università e della Ricerca (MUR) PRIN grant 2017CBF8NJMinistero dell'Università e della Ricerca (MUR) PRIN grant 2020EM9A8X
6 · The paper itself

Abstract

The central nervous system (CNS) may produce the same endpoint trajectory or torque profile with different muscle activation patterns. What differentiates these patterns is the presence of cocontraction, which does not contribute to effective torque generation but allows to modulate joints' mechanical stiffness. Although it has been suggested that the generation of force and the modulation of stiffness rely on separate pathways, a characterization of the differences between the synaptic inputs to motor neurons (MNs) underlying these tasks is still missing. In this study, participants coactivated the same pair of upper-limb muscles, i.e., the biceps brachii and the triceps brachii, to perform two functionally different tasks: limb stiffness modulation or endpoint force generation. Spike trains of MNs were identified through decomposition of high-density electromyograms (EMGs) collected from the two muscles. Cross-correlogram showed a higher synchronization between MNs recruited to modulate stiffness, whereas cross-muscle coherence analysis revealed peaks in the β-band, which is commonly ascribed to a cortical origin. These peaks did not appear during the coactivation for force generation, thus suggesting separate cortical inputs for stiffness modulation. Moreover, a within-muscle coherence analysis identified two subsets of MNs that were selectively recruited to generate force or regulate stiffness. This study is the first to highlight different characteristics, and probable different neural origins, of the synaptic inputs driving a pair of muscles under different functional conditions. We suggest that stiffness modulation is driven by cortical inputs that project to a separate set of MNs, supporting the existence of a separate pathway underlying the control of stiffness.

Indexed as

Motor NeuronsMuscle, SkeletalAdultElectromyographyFemaleHumansMaleMuscle ContractionSynapsesYoung Adultbeta rhythmcocontractioncommon drivehigh-density electromyographymotor unit

Identifiers

PMID38629162
OpenAlexW4394869923

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.