3-dimensionality in determining the stability of atrial fibrillation

Atrial fibrillation is a progressive arrhythmia with increase in AF stability during its progression. AF progression goes in line with structural and electrophysiological changes. These alterations can make changes in electrophysiological parameters such as increase in number of waves, decrease in wave sizes, and increase in transmural conductions. In order to investigate which parameter has the largest effects on AF stability, we made a novel dual layer computer model and measured different read out parameters. Afterwards, a statistical test, multivariate logistic tests, was performed to extract contributions of different parameters on AF stability. Our study revealed endo-epicardial electrical activity dissociation is the most determinant parameter associate with AF stability.

[1]  Ulrich Schotten,et al.  Electropathological Substrate of Long-Standing Persistent Atrial Fibrillation in Patients With Structural Heart Disease: Longitudinal Dissociation , 2010, Circulation. Arrhythmia and electrophysiology.

[2]  M. Courtemanche,et al.  Ionic mechanisms underlying human atrial action potential properties: insights from a mathematical model. , 1998, The American journal of physiology.

[3]  L. Joshua Leon,et al.  Development of a computer algorithm for the detection of phase singularities and initial application to analyze simulations of atrial fibrillation. , 2002, Chaos.

[4]  L. J. Leon,et al.  Simulation of two-dimensional anisotropic cardiac reentry: Effects of the wavelength on the reentry characteristics , 1994, Annals of Biomedical Engineering.

[5]  Ulrich Schotten,et al.  Electropathological Substrate of Longstanding Persistent Atrial Fibrillation in Patients With Structural Heart Disease: Epicardial Breakthrough , 2010, Circulation.

[6]  Richard H Clayton,et al.  Dynamics and interaction of filaments in a computational model of re-entrant ventricular fibrillation. , 2002, Physics in medicine and biology.

[7]  Alexander V Panfilov,et al.  Organization of Ventricular Fibrillation in the Human Heart , 2007, Circulation research.

[8]  Richard H Clayton,et al.  A method to quantify the dynamics and complexity of re-entry in computational models of ventricular fibrillation. , 2002, Physics in medicine and biology.

[9]  M. Allessie,et al.  Time course and mechanisms of endo-epicardial electrical dissociation during atrial fibrillation in the goat. , 2011, Cardiovascular research.

[10]  Omer Berenfeld,et al.  Heterogeneous atrial wall thickness and stretch promote scroll waves anchoring during atrial fibrillation. , 2012, Cardiovascular research.

[11]  Jens Eckstein,et al.  A computer model of endo-epicardial electrical dissociation and transmural conduction during atrial fibrillation. , 2012, Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology.