ArticleJournal of the Royal Society, Interface2017
Mechanisms of stochastic onset and termination of atrial fibrillation studied with a cellular automaton model.
Article in Journal of the Royal Society, Interface, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Autonomic modulation before and after paroxysmal atrial fibrillation events in patients with ischemic heart disease.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2020Article
- Usage of a new mapping algorithm to detect possible critical substrate for continuity of atrial fibrillation: fractionation mapping in preliminary experience.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2020Review
- M/M/Infinity Birth-Death Processes - A Quantitative Representational Framework to Summarize and Explain Phase Singularity and Wavelet Dynamics in Atrial Fibrillation.Frontiers in physiology · 2020Article
- Unified mechanism of local drivers in a percolation model of atrial fibrillation.Physical review. E · 2019Article
- Addressing challenges of quantitative methodologies and event interpretation in the study of atrial fibrillation.Computer methods and programs in biomedicine · 2019Review
- Understanding AF Mechanisms Through Computational Modelling and Simulations.Arrhythmia & electrophysiology review · 2019Review
- Understanding the Beat-to-Beat Variations of P-Waves Morphologies in AF Patients During Sinus Rhythm: A Scoping Review of the Atrial Simulation Studies.Frontiers in physiology · 2019Article
- Is human atrial fibrillation stochastic or deterministic?-Insights from missing ordinal patterns and causal entropy-complexity plane analysis.Chaos (Woodbury, N.Y.) · 2018Article
- Machine learning methods for locating re-entrant drivers from electrograms in a model of atrial fibrillation.Royal Society open science · 2018Article
- Heart Rhythm Insights Into Structural Remodeling in Atrial Tissue: Timed Automata Approach.Frontiers in physiology · 2018Article
- Understanding the transition from paroxysmal to persistent atrial fibrillation.Physical review researchArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mathematical models of cardiac electrical excitation are increasingly complex, with multiscale models seeking to represent and bridge physiological behaviours across temporal and spatial scales. The increasing complexity of these models makes it computationally expensive to both evaluate long term (more than 60 s) behaviour and determine sensitivity of model outputs to inputs. This is particularly relevant in models of atrial fibrillation (AF), where individual episodes last from seconds to days, and interepisode waiting times can be minutes to months. Potential mechanisms of transition between sinus rhythm and AF have been identified but are not well understood, and it is difficult to simulate AF for long periods of time using state-of-the-art models. In this study, we implemented a Moe-type cellular automaton on a novel, topologically equivalent surface geometry of the left atrium. We used the model to simulate stochastic initiation and spontaneous termination of AF, arising from bursts of spontaneous activation near pulmonary veins. The simplified representation of atrial electrical activity reduced computational cost, and so permitted us to investigate AF mechanisms in a probabilistic setting. We computed large numbers (approx. 10
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