Literature DB >> 22270941

Estimating the time scale and anatomical location of atrial fibrillation spontaneous termination in a biophysical model.

Laurent Uldry1, Vincent Jacquemet, Nathalie Virag, Lukas Kappenberger, Jean-Marc Vesin.   

Abstract

Due to their transient nature, spontaneous terminations of atrial fibrillation (AF) are difficult to investigate. Apparently, confounding experimental findings about the time scale of this phenomenon have been reported, with values ranging from 1 s to 1 min. We propose a biophysical modeling approach to study the mechanisms of spontaneous termination in two models of AF with different levels of dynamical complexity. 8 s preceding spontaneous terminations were studied and the evolution of cycle length and wavefront propagation were documented to assess the time scale and anatomical location of the phenomenon. Results suggest that termination mechanisms are dependent on the underlying complexity of AF. During simulated AF of low complexity, the total process of spontaneous termination lasted 3,200 ms and was triggered in the left atrium 800 ms earlier than in the right atrium. The last fibrillatory activity was observed more often in the right atrium. These asymmetric termination mechanisms in both time and space were not observed during spontaneous terminations of complex AF simulations, which showed less predictable termination patterns lasting only 1,600 ms. This study contributes to the interpretation of previous clinical observations, and illustrates how computer modeling provides a complementary approach to study the mechanisms of cardiac arrhythmias.

Entities:  

Mesh:

Year:  2012        PMID: 22270941     DOI: 10.1007/s11517-011-0859-3

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  26 in total

1.  A numerical scheme for modeling wavefront propagation on a monolayer of arbitrary geometry.

Authors:  Steeve Zozor; Olivier Blanc; Vincent Jacquemet; Nathalie Virag; Jean-Marc Vesin; Etienne Pruvot; Lukas Kappenberger; Craig Henriquez
Journal:  IEEE Trans Biomed Eng       Date:  2003-04       Impact factor: 4.538

2.  Optimizing local capture of atrial fibrillation by rapid pacing: study of the influence of tissue dynamics.

Authors:  Laurent Uldry; Nathalie Virag; Vincent Jacquemet; Jean-Marc Vesin; Lukas Kappenberger
Journal:  Ann Biomed Eng       Date:  2010-07-09       Impact factor: 3.934

3.  Action potential duration restitution kinetics in human atrial fibrillation.

Authors:  Byung-Soo Kim; Young-Hoon Kim; Gyo-Seung Hwang; Hui-Nam Pak; Sang Chil Lee; Wan Joo Shim; Dong Joo Oh; Young Moo Ro
Journal:  J Am Coll Cardiol       Date:  2002-04-17       Impact factor: 24.094

4.  Wavelength and vulnerability to atrial fibrillation: Insights from a computer model of human atria.

Authors:  Vincent Jacquemet; Nathalie Virag; Lukas Kappenberger
Journal:  Europace       Date:  2005-09       Impact factor: 5.214

5.  Study of atrial arrhythmias in a computer model based on magnetic resonance images of human atria.

Authors:  N. Virag; V. Jacquemet; C. S. Henriquez; S. Zozor; O. Blanc; J.-M. Vesin; E. Pruvot; L. Kappenberger
Journal:  Chaos       Date:  2002-09       Impact factor: 3.642

6.  Study of unipolar electrogram morphology in a computer model of atrial fibrillation.

Authors:  Vincent Jacquemet; Nathalie Virag; Zenichi Ihara; Lam Dang; Olivier Blanc; Steeve Zozor; Jean-Marc Vesin; Lukas Kappenberger; Craig Henriquez
Journal:  J Cardiovasc Electrophysiol       Date:  2003-10

7.  [Non-invasive characterization of atrial activity immediately prior to termination of paroxysmal atrial fibrillation (corrected)].

Authors:  Raúl Alcaraz; José J Rieta; Fernando Hornero
Journal:  Rev Esp Cardiol       Date:  2008-02       Impact factor: 4.753

8.  Synchronizing computer simulations with measurement data for a case of atrial flutter.

Authors:  Glenn T Lines; Mary C MacLachlan; Svein Linge; Aslak Tveito
Journal:  Ann Biomed Eng       Date:  2009-04-17       Impact factor: 3.934

9.  High-density mapping of electrically induced atrial fibrillation in humans.

Authors:  K T Konings; C J Kirchhof; J R Smeets; H J Wellens; O C Penn; M A Allessie
Journal:  Circulation       Date:  1994-04       Impact factor: 29.690

10.  Preventive ablation strategies in a biophysical model of atrial fibrillation based on realistic anatomical data.

Authors:  Matthias Reumann; Julia Bohnert; Gunnar Seemann; Brigitte Osswald; Olaf Dössel
Journal:  IEEE Trans Biomed Eng       Date:  2008-02       Impact factor: 4.538

View more
  3 in total

Review 1.  Computational modeling of the human atrial anatomy and electrophysiology.

Authors:  Olaf Dössel; Martin W Krueger; Frank M Weber; Mathias Wilhelms; Gunnar Seemann
Journal:  Med Biol Eng Comput       Date:  2012-06-21       Impact factor: 2.602

Review 2.  Anti-arrhythmic strategies for atrial fibrillation: The role of computational modeling in discovery, development, and optimization.

Authors:  Eleonora Grandi; Mary M Maleckar
Journal:  Pharmacol Ther       Date:  2016-09-06       Impact factor: 12.310

3.  Mechanisms of stochastic onset and termination of atrial fibrillation studied with a cellular automaton model.

Authors:  Yen Ting Lin; Eugene T Y Chang; Julie Eatock; Tobias Galla; Richard H Clayton
Journal:  J R Soc Interface       Date:  2017-03       Impact factor: 4.118

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.