Literature DB >> 23104905

A computer model of endo-epicardial electrical dissociation and transmural conduction during atrial fibrillation.

Ali Gharaviri1, Sander Verheule, Jens Eckstein, Mark Potse, Nico H L Kuijpers, Ulrich Schotten.   

Abstract

AIMS: Structural alterations during atrial fibrillation (AF) not only lead to electrical dissociation within the epicardial layer, but also between the epicardial layer and the endocardial bundle network. The aim of the study was to investigate the role of transmural conduction in the stability of AF episodes using a dual-layer computer model. METHODS AND
RESULTS: A proof-of-principle dual-layer model was developed in which connections between the layers can be introduced or removed at any time during the simulation. Using an S1-S2 protocol, a spiral wave was initiated in one of the layers, which degenerated into a complex AF pattern after connection with the other layer at six randomly chosen sites. After 6 s, connections were either retained (dual-layer simulations) or removed (single-layer simulations). Dual-layer simulations were more complex, as indicated by the higher number of waves and phase singularities. Tracking waves through both layers revealed that the number of waves in dual-layer simulations was significantly higher than in the single-layer simulations, reflecting more opportunities for reentry and a concomitant increase in AF stability. In the dual-layer model, only 12% of the AF episodes died out within 6 s, while 59% died out in the single-layer model.
CONCLUSION: Atrial fibrillation patterns are more complex and AF episodes are more stable in a dual-layer model. This study indicates an important role for endo-epicardial conduction for the stabilization of AF.

Entities:  

Mesh:

Year:  2012        PMID: 23104905     DOI: 10.1093/europace/eus270

Source DB:  PubMed          Journal:  Europace        ISSN: 1099-5129            Impact factor:   5.214


  6 in total

1.  A two layers monodomain model of cardiac electrophysiology of the atria.

Authors:  Yves Coudière; Jacques Henry; Simon Labarthe
Journal:  J Math Biol       Date:  2015-03-15       Impact factor: 2.259

2.  Muscle Thickness and Curvature Influence Atrial Conduction Velocities.

Authors:  Simone Rossi; Stephen Gaeta; Boyce E Griffith; Craig S Henriquez
Journal:  Front Physiol       Date:  2018-10-29       Impact factor: 4.566

Review 3.  Towards personalized computational modelling of the fibrotic substrate for atrial arrhythmia.

Authors:  Patrick M Boyle; Sohail Zahid; Natalia A Trayanova
Journal:  Europace       Date:  2016-12       Impact factor: 5.214

4.  Quantification of the transmural dynamics of atrial fibrillation by simultaneous endocardial and epicardial optical mapping in an acute sheep model.

Authors:  Sarah R Gutbrod; Richard Walton; Stephen Gilbert; Valentin Meillet; Pierre Jaïs; Mélèze Hocini; Michel Haïssaguerre; Rémi Dubois; Olivier Bernus; Igor R Efimov
Journal:  Circ Arrhythm Electrophysiol       Date:  2015-02-24

Review 5.  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

6.  The effect of complex intramural microstructure caused by structural remodeling on the stability of atrial fibrillation: Insights from a three-dimensional multi-layer modeling study.

Authors:  Riqing Chen; Cheng Wen; Rao Fu; Jianning Li; Jian Wu
Journal:  PLoS One       Date:  2018-11-28       Impact factor: 3.240

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.