Literature DB >> 25451519

Initiation of atrial fibrillation by interaction of pacemakers with geometrical constraints.

Claudia Lenk1, Frank M Weber2, Martin Bauer2, Mario Einax3, Philipp Maass3, Gunnar Seeman2.   

Abstract

Atrial fibrillation (AF) is the most common arrhythmia of the heart in industrialized countries. Its generation and the transitory behavior of paroxysmal AF are still not well understood. In this work we examine the interaction of two activation sources via an isthmus as possible cause for the initiation of fibrillation episodes. For this study, the electrophysiological model of Bueno-Orovio, Cherry and Fenton is adapted to atrial electrophysiology, both for physiological and electrophysiologically remodeled conditions due to AF. We show that the interaction of the pacemakers, combined with the geometrical constraints of the isthmus, can produce fibrillatory-type irregularities, which we quantify by the loss of spatial phase coherence in the transmembrane voltage. Transitions to irregular behavior occur when the frequencies of the pacemakers exceed certain thresholds, suggesting that AF episodes are initiated by frequency changes of the activating sources (sinus node, ectopic focus).
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Atrial electrophysiology; Obstacle-induced instability; Pacemaker interaction; Paroxysmal atrial fibrillation; Synchronization

Mesh:

Year:  2014        PMID: 25451519     DOI: 10.1016/j.jtbi.2014.10.030

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  3 in total

Review 1.  Calibration of ionic and cellular cardiac electrophysiology models.

Authors:  Dominic G Whittaker; Michael Clerx; Chon Lok Lei; David J Christini; Gary R Mirams
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2020-02-21

2.  Modeling specific action potentials in the human atria based on a minimal single-cell model.

Authors:  Yvonne Richter; Pedro G Lind; Philipp Maass
Journal:  PLoS One       Date:  2018-01-23       Impact factor: 3.240

3.  Automatic mapping of atrial fiber orientations for patient-specific modeling of cardiac electromechanics using image registration.

Authors:  Julia M Hoermann; Martin R Pfaller; Linda Avena; Cristóbal Bertoglio; Wolfgang A Wall
Journal:  Int J Numer Method Biomed Eng       Date:  2019-03-14       Impact factor: 2.747

  3 in total

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