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Simple Model for Identifying Critical Regions in Atrial Fibrillation

Kim Christensen, Kishan A. Manani, and Nicholas S. Peters
Phys. Rev. Lett. 114, 028104 – Published 16 January 2015
Physics logo See Focus story: Model Demonstrates Cause of Heart Arrhythmia
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Abstract

Atrial fibrillation (AF) is the most common abnormal heart rhythm and the single biggest cause of stroke. Ablation, destroying regions of the atria, is applied largely empirically and can be curative but with a disappointing clinical success rate. We design a simple model of activation wave front propagation on an anisotropic structure mimicking the branching network of heart muscle cells. This integration of phenomenological dynamics and pertinent structure shows how AF emerges spontaneously when the transverse cell-to-cell coupling decreases, as occurs with age, beyond a threshold value. We identify critical regions responsible for the initiation and maintenance of AF, the ablation of which terminates AF. The simplicity of the model allows us to calculate analytically the risk of arrhythmia and express the threshold value of transversal cell-to-cell coupling as a function of the model parameters. This threshold value decreases with increasing refractory period by reducing the number of critical regions which can initiate and sustain microreentrant circuits. These biologically testable predictions might inform ablation therapies and arrhythmic risk assessment.

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  • Received 7 March 2014

DOI:https://doi.org/10.1103/PhysRevLett.114.028104

This article is available under the terms of the Creative Commons Attribution 3.0 License. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.

© 2015 Published by American Physical Society

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Model Demonstrates Cause of Heart Arrhythmia

Published 16 January 2015

A simple model of heart tissue that represents the architecture of cell-cell communication more realistically than previous models spontaneously develops faulty electrical waves that mimic a dangerous heart condition.

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Authors & Affiliations

Kim Christensen1,2, Kishan A. Manani1,2,3,*, and Nicholas S. Peters3

  • 1The Blackett Laboratory, Imperial College London, London SW7 2BW, United Kingdom
  • 2Center for Complexity Science, Imperial College London, London SW7 2AZ, United Kingdom
  • 3National Heart and Lung Institute, Imperial College London, London W12 0NN, United Kingdom

  • *Corresponding author. kishan.a.manani@gmail.com

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Vol. 114, Iss. 2 — 16 January 2015

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