Key result
A percolation-inspired computational model predicts that reentrant circuits emerge near the endocardium in paroxysmal atrial fibrillation and deeper in the atrial wall in persistent cases.
Why the study?
The mechanisms underlying AF are poorly understood and disputed, contributing to disappointing ablation success rates.
A percolation-inspired computational model provides a theoretical explanation for the diversity of AF activation patterns, suggesting that reentrant circuits emerge deeper in the atrial wall as AF becomes more persistent, which may explain lower ablation success rates in persistent AF.
Hypothesis-generating for depth-targeted ablation in persistent AF; leaves open human validation before clinical consideration.
The mechanisms of atrial fibrillation (AF) are poorly understood, resulting in disappointing success rates of ablative treatment. Different mechanisms defined largely by different atrial activation patterns have been proposed and, arguably, this dispute has slowed the progress of AF research. Recent clinical evidence suggests a unifying mechanism of local drivers based on sustained reentrant circuits in the complex atrial architecture. Here, we present a percolation inspired computational model showing spontaneous emergence of AF that strongly supports, and gives a theoretical explanation for, the clinically observed diversity of activation. We show that the difference in surface activation patterns is a direct consequence of the thickness of the discrete network of heart muscle cells through which electrical signals percolate to reach the imaged surface. The model naturally follows the clinical spectrum of AF spanning sinus rhythm, paroxysmal AF, and persistent AF as the decoupling of myocardial cells results in the lattice approaching the percolation threshold. This allows the model to make the prediction that, for paroxysmal AF, reentrant circuits emerge near the endocardium, but in persistent AF they emerge deeper in the bulk of the atrial wall. If experimentally verified, this may go towards explaining the lowering ablation success rate as AF becomes more persistent.
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Falkenberg et al. (2019) studied Atrial fibrillation. Percolation inspired computational model was evaluated. A percolation-inspired computational model predicts that reentrant circuits emerge near the endocardium in paroxysmal atrial fibrillation and deeper in the atrial wall in persistent cases.
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