Evidence map›Paper›PMID 26583141›Full record

ArticleBioMed research international2015

A 2D Electromechanical Model of Human Atrial Tissue Using the Discrete Element Method.

Paul Brocklehurst, Ismail Adeniran, Dongmin Yang, Yong Sheng, Henggui Zhang, Jianqiao Ye

Abstract read
In one paragraph

Article in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Structural modelling of the cardiovascular system.Biomechanics and modeling in mechanobiology · 2018
    Review
  4. Article
  5. Article
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

6 authors.

Paul BrocklehurstEngineering Department, Lancaster University, Lancaster LA1 4YR, UK.
Ismail AdeniranBiological Physics Group, School of Physics and Astronomy, University of Manchester, Manchester M13 9PL, UK.
Dongmin YangSchool of Civil Engineering, University of Leeds, Leeds LS2 9JT, UK.
Yong ShengSchool of Civil Engineering, University of Leeds, Leeds LS2 9JT, UK.
Henggui ZhangBiological Physics Group, School of Physics and Astronomy, University of Manchester, Manchester M13 9PL, UK.
Jianqiao YeEngineering Department, Lancaster University, Lancaster LA1 4YR, UK.

Funding

British Heart Foundation FS/14/5/30533
6 · The paper itself

Abstract

Cardiac tissue is a syncytium of coupled cells with pronounced intrinsic discrete nature. Previous models of cardiac electromechanics often ignore such discrete properties and treat cardiac tissue as a continuous medium, which has fundamental limitations. In the present study, we introduce a 2D electromechanical model for human atrial tissue based on the discrete element method (DEM). In the model, single-cell dynamics are governed by strongly coupling the electrophysiological model of Courtemanche et al. to the myofilament model of Rice et al. with two-way feedbacks. Each cell is treated as a viscoelastic body, which is physically represented by a clump of nine particles. Cell aggregations are arranged so that the anisotropic nature of cardiac tissue due to fibre orientations can be modelled. Each cell is electrically coupled to neighbouring cells, allowing excitation waves to propagate through the tissue. Cell-to-cell mechanical interactions are modelled using a linear contact bond model in DEM. By coupling cardiac electrophysiology with mechanics via the intracellular Ca(2+) concentration, the DEM model successfully simulates the conduction of cardiac electrical waves and the tissue's corresponding mechanical contractions. The developed DEM model is numerically stable and provides a powerful method for studying the electromechanical coupling problem in the heart.

Indexed as

Heart AtriaModels, CardiovascularAction PotentialsAtrial FunctionElectrophysiological PhenomenaHumansMyocardial ContractionMyocytes, CardiacMyofibrils

Identifiers

PMID26583141
PMCPMC4637066

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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.