Evidence map›Paper›PMID 28574981›Full record

ArticlePLoS computational biology2017

A motor unit-based model of muscle fatigue.

Jim R Potvin, Andrew J Fuglevand

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
6.4field-weighted citation impact, top 3% 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

50 citing papers in PubMed, 149 citations in OpenAlex.

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  17. Disuse-Induced Muscle Fatigue: Facts and Assumptions.International journal of molecular sciences · 2024
    Review
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  19. From Simulation to Reality: Predicting Torque With Fatigue Onset via Transfer Learning.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2024
    Article
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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 at 2 institutions in 2 countries.

Jim R PotvinDepartment of Kinesiology, McMaster University, Hamilton, Ontario, Canada.ORCID http://orcid.org/0000-0003-4389-8546
Andrew J FuglevandDepartment of Physiology, College of Medicine, University of Arizona, Tucson, Arizona, United States of America.ORCID http://orcid.org/0000-0002-4349-6478
McMaster University · CAUniversity of Arizona · US

Funding

Physiological significance of persistent inward currents in motor neuronsR01NS079147 · NINDS · UNIVERSITY OF ARIZONA · PI FUGLEVAND, ANDREW J · 2013 to 2016
$504k
NINDS NIH HHS R01 NS079147
6 · The paper itself

Abstract

Muscle fatigue is a temporary decline in the force and power capacity of skeletal muscle resulting from muscle activity. Because control of muscle is realized at the level of the motor unit (MU), it seems important to consider the physiological properties of motor units when attempting to understand and predict muscle fatigue. Therefore, we developed a phenomenological model of motor unit fatigue as a tractable means to predict muscle fatigue for a variety of tasks and to illustrate the individual contractile responses of MUs whose collective action determines the trajectory of changes in muscle force capacity during prolonged activity. An existing MU population model was used to simulate MU firing rates and isometric muscle forces and, to that model, we added fatigue-related changes in MU force, contraction time, and firing rate associated with sustained voluntary contractions. The model accurately estimated endurance times for sustained isometric contractions across a wide range of target levels. In addition, simulations were run for situations that have little experimental precedent to demonstrate the potential utility of the model to predict motor unit fatigue for more complicated, real-world applications. Moreover, the model provided insight into the complex orchestration of MU force contributions during fatigue, that would be unattainable with current experimental approaches.

Indexed as

Models, BiologicalComputational BiologyHumansIsometric ContractionMuscle FatigueMuscle Fibers, SkeletalMuscle, Skeletal

Identifiers

PMID28574981
PMCPMC5473583
OpenAlexW2620606889

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.