Evidence map›Paper›PMID 28510575›Full record

ArticlePloS one2017

Electro-mechanical dynamics of spiral waves in a discrete 2D model of human atrial tissue.

Paul Brocklehurst, Haibo Ni, Henggui Zhang, Jianqiao Ye

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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.

  1. Article
  2. Computational Modeling of Cardiac Electrophysiology.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  3. Article
  4. Article
  5. A survey of pathways for mechano-electric coupling in the atria.Progress in biophysics and molecular biology · 2021
    Article
  6. Review
  7. Article
  8. Review
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

4 authors.

Paul BrocklehurstEngineering Department, Lancaster University, Lancaster, United Kingdom.
Haibo NiBiological Physics Group, School of Physics and Astronomy, University of Manchester, Manchester, United Kingdom.
Henggui ZhangBiological Physics Group, School of Physics and Astronomy, University of Manchester, Manchester, United Kingdom.
Jianqiao YeEngineering Department, Lancaster University, Lancaster, United Kingdom.ORCID http://orcid.org/0000-0002-1039-1944

Funding

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

Abstract

We investigate the effect of mechano-electrical feedback and atrial fibrillation induced electrical remodelling (AFER) of cellular ion channel properties on the dynamics of spiral waves in a discrete 2D model of human atrial tissue. The tissue electro-mechanics are modelled using the discrete element method (DEM). Millions of bonded DEM particles form a network of coupled atrial cells representing 2D cardiac tissue, allowing simulations of the dynamic behaviour of electrical excitation waves and mechanical contraction in the tissue. In the tissue model, each cell is modelled by nine particles, accounting for the features of individual cellular geometry; and discrete inter-cellular spatial arrangement of cells is also considered. The electro-mechanical model of a human atrial single-cell was constructed by strongly coupling the electrophysiological model of Colman et al. to the mechanical myofilament model of Rice et al., with parameters modified based on experimental data. A stretch-activated channel was incorporated into the model to simulate the mechano-electrical feedback. In order to investigate the effect of mechano-electrical feedback on the dynamics of spiral waves, simulations of spiral waves were conducted in both the electromechanical model and the electrical-only model in normal and AFER conditions, to allow direct comparison of the results between the models. Dynamics of spiral waves were characterized by tracing their tip trajectories, stability, excitation frequencies and meandering range of tip trajectories. It was shown that the developed DEM method provides a stable and efficient model of human atrial tissue with considerations of the intrinsically discrete and anisotropic properties of the atrial tissue, which are challenges to handle in traditional continuum mechanics models. This study provides mechanistic insights into the complex behaviours of spiral waves and the genesis of atrial fibrillation by showing an important role of the mechano-electrical feedback in facilitating and promoting atrial fibrillation.

Indexed as

Atrial RemodelingElectrophysiological PhenomenaMechanical PhenomenaModels, CardiovascularAction PotentialsAlgorithmsAtrial FibrillationCalcium SignalingComputer SimulationHeart AtriaHumansMyocytes, Cardiac

Identifiers

PMID28510575
PMCPMC5433700

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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.