Evidence map›Paper›PMID 41614383›Full record

ArticleThe Journal of experimental biology2026

A modelling perspective on torque-frequency trade-offs in multifunctional lever systems driven by antagonist muscle pairs.

Cas Jorissen, Sam van Wassenbergh

Abstract read
In one paragraph

Article in The Journal of experimental biology, 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

2 authors.

Cas JorissenLaboratory of Functional Morphology, University of Antwerp, Antwerpen 2610, Belgium.ORCID 0000-0001-7972-5044
Sam van WassenberghLaboratory of Functional Morphology, University of Antwerp, Antwerpen 2610, Belgium.

Funding

Fonds Wetenschappelijk Onderzoek G014823NUniversiteit Antwerpen SEP BOF FFB190380
6 · The paper itself

Abstract

Rapid cyclic movements are generated by antagonistic muscle pairs contracting in an alternating pattern. The highest frequencies can be generated in balanced torque-producing systems with specialized muscle fibers. The system's frequency output is expected to change when it becomes more adapted to functions with conflicting mechanical demand, such as increased static torque production in one direction. This study first conceptualized how distinct factors (fiber type, muscle cross-sectional area, moment arm and inertial properties) could influence this torque-frequency trade-off. Special attention is given to Henneman's principle, as many of these systems contain both slow- and fast-twitch muscle fiber, typically organized in motor units, with the smallest, slow-twitch, fiber-rich motor units being recruited first. Next, we used Hill-type muscle models operating a Java sparrow's mandible as a case study for this framework. Our model showed that muscle fiber type strongly affects the frequency output, with a notable role for Henneman's effect causing the overdeveloped muscle to predominantly recruit slow-twitch muscle fibers. This leads to large muscle torque output overlap, which in turn reduces frequency. Once torque imbalance occurs, altering the other variables only slightly changes the frequency, suggesting a dominant role of muscle contractile properties. This means that the conflicting demands of multifunctional musculoskeletal lever systems such as bird beaks are also tightly linked to fiber type and motor unit roles such as endurance and precision of movement.

Indexed as

Models, BiologicalMuscle ContractionMuscle, SkeletalAnimalsBiomechanical PhenomenaMuscle Fibers, Fast-TwitchMuscle Fibers, Slow-TwitchTorqueBiomechanicsHenneman's principleHill model

Identifiers

PMID41614383
PMCPMC12891941

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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.