Literature DB >> 28175261

How disruption of endo-epicardial electrical connections enhances endo-epicardial conduction during atrial fibrillation.

Ali Gharaviri1, Sander Verheule1, Jens Eckstein1,2, Mark Potse3,4, Pawel Kuklik1, Nico H L Kuijpers3, Ulrich Schotten1.   

Abstract

Aims: Loss of side-to-side electrical connections between atrial muscle bundles is thought to underlie conduction disturbances predisposing to atrial fibrillation (AF). Putatively, disruption of electrical connections occurs not only within the epicardial layer but also between the epicardial layer and the endocardial bundle network, thus impeding transmural conductions (‘breakthroughs’). However, both clinical and experimental studies have shown an enhancement of breakthroughs during later stages of AF. We tested the hypothesis that endo-epicardial uncoupling enhances endo-epicardial electrical dyssynchrony, breakthrough rate (BTR), and AF stability. Methods and
Results: In a novel dual-layer computer model of the human atria, 100% connectivity between the two layers served as healthy control. Atrial structural remodelling was simulated by reducing the number of connections between the layers from 96 to 6 randomly chosen locations. With progressive elimination of connections, AF stability increased. Reduction in the number of connections from 96 to 24 resulted in an increase in endo-epicardial dyssynchrony from 6.6 ± 1.9 to 24.6 ± 1.3%, with a concomitant increase in BTR. A further reduction to 12 and 6 resulted in more pronounced endo-epicardial dyssynchrony of 34.4 ± 1.15 and 40.2 ± 0.52% but with BTR reduction. This biphasic relationship between endo-epicardial coupling and BTR was found independently from whether AF was maintained by re-entry or by ectopic focal discharges.
Conclusion: Loss of endo-epicardial coupling increases AF stability. There is a biphasic relation between endo-epicardial coupling and BTR. While at high degrees of endo-epicardial connectivity, the BTR is limited by the endo-epicardial synchronicity, at low degrees of connectivity, it is limited by the number of endo-epicardial connections.

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Year:  2017        PMID: 28175261     DOI: 10.1093/europace/euv445

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


  9 in total

1.  Simultaneous Whole-Chamber Non-contact Mapping of Highest Dominant Frequency Sites During Persistent Atrial Fibrillation: A Prospective Ablation Study.

Authors:  Gavin S Chu; Xin Li; Peter J Stafford; Frederique J Vanheusden; João L Salinet; Tiago P Almeida; Nawshin Dastagir; Alastair J Sandilands; Paulus Kirchhof; Fernando S Schlindwein; G André Ng
Journal:  Front Physiol       Date:  2022-03-16       Impact factor: 4.755

Review 2.  A Review of Healthy and Fibrotic Myocardium Microstructure Modeling and Corresponding Intracardiac Electrograms.

Authors:  Jorge Sánchez; Axel Loewe
Journal:  Front Physiol       Date:  2022-05-10       Impact factor: 4.755

Review 3.  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

Review 4.  Computational Modeling of Electrophysiology and Pharmacotherapy of Atrial Fibrillation: Recent Advances and Future Challenges.

Authors:  Márcia Vagos; Ilsbeth G M van Herck; Joakim Sundnes; Hermenegild J Arevalo; Andrew G Edwards; Jussi T Koivumäki
Journal:  Front Physiol       Date:  2018-09-04       Impact factor: 4.566

5.  Determinants of new wavefront locations in cholinergic atrial fibrillation.

Authors:  Caroline H Roney; Fu Siong Ng; Michael T Debney; Christian Eichhorn; Arun Nachiappan; Rasheda A Chowdhury; Norman A Qureshi; Chris D Cantwell; Jennifer H Tweedy; Steven A Niederer; Nicholas S Peters; Edward J Vigmond
Journal:  Europace       Date:  2018-11-01       Impact factor: 5.214

6.  Iterative navigation of multipole diagnostic catheters to locate repeating-pattern atrial fibrillation drivers.

Authors:  Prasanth Ganesan; Anthony Salmin; Elizabeth M Cherry; David T Huang; Arkady M Pertsov; Behnaz Ghoraani
Journal:  J Cardiovasc Electrophysiol       Date:  2019-02-11

7.  Locating Atrial Fibrillation Rotor and Focal Sources Using Iterative Navigation of Multipole Diagnostic Catheters.

Authors:  Prasanth Ganesan; Elizabeth M Cherry; David T Huang; Arkady M Pertsov; Behnaz Ghoraani
Journal:  Cardiovasc Eng Technol       Date:  2019-04-15       Impact factor: 2.495

Review 8.  Computational models in cardiology.

Authors:  Steven A Niederer; Joost Lumens; Natalia A Trayanova
Journal:  Nat Rev Cardiol       Date:  2019-02       Impact factor: 32.419

9.  Epicardial Fibrosis Explains Increased Endo-Epicardial Dissociation and Epicardial Breakthroughs in Human Atrial Fibrillation.

Authors:  Ali Gharaviri; Elham Bidar; Mark Potse; Stef Zeemering; Sander Verheule; Simone Pezzuto; Rolf Krause; Jos G Maessen; Angelo Auricchio; Ulrich Schotten
Journal:  Front Physiol       Date:  2020-02-21       Impact factor: 4.566

  9 in total

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