Evidence map›Paper›PMID 24348739›Full record

ArticleComputational and mathematical methods in medicine2013

Modeling the chemoelectromechanical behavior of skeletal muscle using the parallel open-source software library OpenCMISS.

Thomas Heidlauf, Oliver Röhrle

Abstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

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0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Review
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  4. [Advances in digital twins technology of human skeletal muscle].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2023
    Article
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  6. Microstructural analysis of skeletal muscle force generation during aging.International journal for numerical methods in biomedical engineering · 2020
    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.

Thomas HeidlaufUniversität Stuttgart, Institut für Mechanik (Bauwesen), Lehrstuhl II, Pfaffenwaldring 7, 70569 Stuttgart, Germany ; Stuttgart Research Centre for Simulation Technology, Pfaffenwaldring 5a, 70569 Stuttgart, Germany.
Oliver RöhrleUniversität Stuttgart, Institut für Mechanik (Bauwesen), Lehrstuhl II, Pfaffenwaldring 7, 70569 Stuttgart, Germany ; Stuttgart Research Centre for Simulation Technology, Pfaffenwaldring 5a, 70569 Stuttgart, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An extensible, flexible, multiscale, and multiphysics model for nonisometric skeletal muscle behavior is presented. The skeletal muscle chemoelectromechanical model is based on a bottom-up approach modeling the entire excitation-contraction pathway by strongly coupling a detailed biophysical model of a half-sarcomere to the propagation of action potentials along skeletal muscle fibers and linking cellular parameters to a transversely isotropic continuum-mechanical constitutive equation describing the overall mechanical behavior of skeletal muscle tissue. Since the multiscale model exhibits separable time scales, a special emphasis is placed on employing computationally efficient staggered solution schemes. Further, the implementation builds on the open-source software library OpenCMISS and uses state-of-the-art parallelization techniques taking advantage of the unique anatomical fiber architecture of skeletal muscles. OpenCMISS utilizes standardized data structures for geometrical aspects (FieldML) and cellular models (CellML). Both standards are designed to allow for a maximum flexibility, reproducibility, and extensibility. The results demonstrate the model's capability of simulating different aspects of nonisometric muscle contraction and efficiently simulating the chemoelectromechanical behavior in complex skeletal muscles such as the tibialis anterior muscle.

Indexed as

Action PotentialsAlgorithmsElectrochemistryHumansImaging, Three-DimensionalMembrane PotentialsMuscle ContractionMuscle Fibers, SkeletalMuscle, SkeletalPattern Recognition, AutomatedPressureProgramming LanguagesReproducibility of ResultsSoftwareStress, Mechanical

Identifiers

PMID24348739
PMCPMC3855958

What OpenQuestion holds

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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.