Literature DB >> 28964130

Dynamical mechanism of atrial fibrillation: A topological approach.

Christopher D Marcotte1, Roman O Grigoriev2.   

Abstract

While spiral wave breakup has been implicated in the emergence of atrial fibrillation, its role in maintaining this complex type of cardiac arrhythmia is less clear. We used the Karma model of cardiac excitation to investigate the dynamical mechanisms that sustain atrial fibrillation once it has been established. The results of our numerical study show that spatiotemporally chaotic dynamics in this regime can be described as a dynamical equilibrium between topologically distinct types of transitions that increase or decrease the number of wavelets, in general agreement with the multiple wavelets' hypothesis. Surprisingly, we found that the process of continuous excitation waves breaking up into discontinuous pieces plays no role whatsoever in maintaining spatiotemporal complexity. Instead, this complexity is maintained as a dynamical balance between wave coalescence-a unique, previously unidentified, topological process that increases the number of wavelets-and wave collapse-a different topological process that decreases their number.

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Year:  2017        PMID: 28964130     DOI: 10.1063/1.5003259

Source DB:  PubMed          Journal:  Chaos        ISSN: 1054-1500            Impact factor:   3.642


  4 in total

1.  Robust approach for rotor mapping in cardiac tissue.

Authors:  Daniel R Gurevich; Roman O Grigoriev
Journal:  Chaos       Date:  2019-05       Impact factor: 3.642

2.  Terminating spiral waves with a single designed stimulus: Teleportation as the mechanism for defibrillation.

Authors:  Noah DeTal; Abouzar Kaboudian; Flavio H Fenton
Journal:  Proc Natl Acad Sci U S A       Date:  2022-06-09       Impact factor: 12.779

3.  Rotor Localization and Phase Mapping of Cardiac Excitation Waves Using Deep Neural Networks.

Authors:  Jan Lebert; Namita Ravi; Flavio H Fenton; Jan Christoph
Journal:  Front Physiol       Date:  2021-12-17       Impact factor: 4.566

4.  A Novel Tool for the Identification and Characterization of Repetitive Patterns in High-Density Contact Mapping of Atrial Fibrillation.

Authors:  Stef Zeemering; Arne van Hunnik; Frank van Rosmalen; Pietro Bonizzi; Billy Scaf; Tammo Delhaas; Sander Verheule; Ulrich Schotten
Journal:  Front Physiol       Date:  2020-10-15       Impact factor: 4.566

  4 in total

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