Evidence map›Paper›PMID 26087477›Full record

ArticleJournal of neural engineering2015

An action potential-driven model of soleus muscle activation dynamics for locomotor-like movements.

Hojeong Kim, Thomas G Sandercock, C J Heckman

Erratum issuedAbstract read
In one paragraph

Article in Journal of neural engineering, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Hojeong KimDivision of Robotics Research, Daegu Gyeongbuk Institute of Science and Technology, Daegu 711-873, Korea. Department of Physiology, Northwestern University Feinberg School of Medicine, Chicago 60611, USA.
Thomas G Sandercock
C J Heckman

Funding

Computer Models of Normal and Abnormal Discharge Patterns in Human MotoneuronsR01NS062200 · NINDS · UNIVERSITY OF WASHINGTON · PI POWERS, RANDALL K · 2009 to 2013
$2.4M
Computer simulations of populations of mammalian motor unitsR01NS071951 · NINDS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI HECKMAN, CHARLES · 2010 to 2014
$1.5M
NINDS NIH HHS NS062200NINDS NIH HHS R01 NS062200NINDS NIH HHS R01 NS071951
6 · The paper itself

Abstract

objectiveThe goal of this study was to develop a physiologically plausible, computationally robust model for muscle activation dynamics (A(t)) under physiologically relevant excitation and movement. APPROACH: The interaction of excitation and movement on A(t) was investigated comparing the force production between a cat soleus muscle and its Hill-type model. For capturing A(t) under excitation and movement variation, a modular modeling framework was proposed comprising of three compartments: (1) spikes-to-[Ca(2+)]; (2) [Ca(2+)]-to-A; and (3) A-to-force transformation. The individual signal transformations were modeled based on physiological factors so that the parameter values could be separately determined for individual modules directly based on experimental data. MAIN

resultsThe strong dependency of A(t) on excitation frequency and muscle length was found during both isometric and dynamically-moving contractions. The identified dependencies of A(t) under the static and dynamic conditions could be incorporated in the modular modeling framework by modulating the model parameters as a function of movement input. The new modeling approach was also applicable to cat soleus muscles producing waveforms independent of those used to set the model parameters. SIGNIFICANCE: This study provides a modeling framework for spike-driven muscle responses during movement, that is suitable not only for insights into molecular mechanisms underlying muscle behaviors but also for large scale simulations.

Indexed as

Models, NeurologicalAction PotentialsAnimalsCalcium SignalingCatsComputer SimulationGaitHumansLocomotionMotor NeuronsMuscle ContractionMuscle, Skeletal

Identifiers

PMID26087477
PMCPMC4870066

What OpenQuestion holds

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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.