Evidence map›Paper›PMID 39314302›Full record

ArticlebioRxiv : the preprint server for biology2024

A novel biomechanical model of the mouse forelimb predicts muscle activity in optimal control simulations of reaching movements.

Jesse I Gilmer, Susan K Coltman, Geraldine Cuenu, John R Hutchinson, Daniel Huber, Abigail L Person, Mazen Al Borno

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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

5 · Who and what money

Authors and funding

7 authors.

Jesse I GilmerUniversity of Colorado Denver ∣ Anschutz Medical Campus, Department of Computer Science and Engineering, Computational Bioscience Program.ORCID 0000-0001-5778-1061
Susan K ColtmanThe Pennsylvania State University, Department of Kinesiology.ORCID 0000-0002-3113-0911
Geraldine CuenuUniversity of Geneva, Department of Basic Neuroscience.
John R HutchinsonRoyal Veterinary College, Department of Comparative Biomedical Sciences.ORCID 0000-0002-6767-7038
Daniel HuberUniversity of Geneva, Department of Basic Neuroscience.ORCID 0000-0002-0744-7679
Abigail L PersonUniversity of Colorado Denver ∣ Anschutz Medical Campus, Department of Physiology and Biophysics.ORCID 0000-0001-9805-7600
Mazen Al BornoUniversity of Colorado Denver ∣ Anschutz Medical Campus, Department of Computer Science and Engineering, Computational Bioscience Program.ORCID 0000-0003-2208-9934

Funding

Computational Bioscience Program Training GrantT15LM009451 · NLM · UNIVERSITY OF COLORADO DENVER · PI Katherina Kechris-Mays, Arjun Krishnan · 2007 to 2026
$11.7M
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
NINDS NIH HHS R01 NS109237NINDS NIH HHS U24 NS126936NLM NIH HHS T15 LM009451
6 · The paper itself

Abstract

Mice are key model organisms in neuroscience and motor systems physiology. Fine motor control tasks performed by mice have become widely used in assaying neural and biophysical motor system mechanisms. Although fine motor tasks provide useful insights into behaviors which require complex multi-joint motor control, there is no previously developed physiological biomechanical model of the adult mouse forelimb available for estimating kinematics nor muscle activity or kinetics during behaviors. Here, we developed a musculoskeletal model based on high-resolution imaging of the mouse forelimb that includes muscles spanning the neck, trunk, shoulder, and limbs. Physics-based optimal control simulations of the forelimb model were used to estimate

Indexed as

biophysical modelsMotor controlmuscle patterningoptimal controlreaching behaviors

Identifiers

PMID39314302
PMCPMC11418950

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.