Literature DB >> 25362166

A bilayer model of human atria: mathematical background, construction, and assessment.

Simon Labarthe1, Jason Bayer2, Yves Coudière3, Jacques Henry3, Hubert Cochet4, Pierre Jaïs4, Edward Vigmond3.   

Abstract

AIMS: Atrial numerical modelling has generally represented the organ as either a surface or tissue with thickness. While surface models have significant computational advantages over tissue models, they cannot fully capture propagation patterns seen in vivo, such as dissociation of activity between endo- and epicardium. We introduce an intermediate representation, a bilayer model of the human atria, which is capable of recreating recorded activation patterns. METHODS AND
RESULTS: We simultaneously solved two surface monodomain problems by formalizing an optimization method to set a coupling term between them. Two different asymptotically equivalent numerical implementations of the model are presented. We then built a geometrically and electrophysiologically detailed model of the human atria based on CT data, including two layers of fibre directions, major muscle bundles, and discrete atrial coupling. We adjusted parameters to recreate clinically measured activation times. Activation was compared with a monolayer model. Activation was fit to the physiological range measured over the entire atria. The crista terminalis and pectinate muscles were important for local right atrial activation, but did not significantly affect total activation time. Propagation in the bilayer model was similar to that of a monolayer, but with noticeable difference, due to three-dimensional propagation where fibre direction changed abruptly across the wall, resulting in a slight dissociation of activity.
CONCLUSION: Atrial structure plays the dominant role in determining activation. A bilayer model is able to take into account transmural heterogeneities, while maintaining the low computational load associated with surface models. Published on behalf of the European Society of Cardiology. All rights reserved.
© The Author 2014. For permissions please email: journals.permissions@oup.com.

Entities:  

Keywords:  Atrial numerical modelling

Mesh:

Year:  2014        PMID: 25362166     DOI: 10.1093/europace/euu256

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


  35 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

3.  Modelling methodology of atrial fibrosis affects rotor dynamics and electrograms.

Authors:  Caroline H Roney; Jason D Bayer; Sohail Zahid; Marianna Meo; Patrick M J Boyle; Natalia A Trayanova; Michel Haïssaguerre; Rémi Dubois; Hubert Cochet; Edward J Vigmond
Journal:  Europace       Date:  2016-12       Impact factor: 5.214

Review 4.  The role of personalized atrial modeling in understanding atrial fibrillation mechanisms and improving treatment.

Authors:  Konstantinos N Aronis; Rheeda Ali; Natalia A Trayanova
Journal:  Int J Cardiol       Date:  2019-01-31       Impact factor: 4.164

Review 5.  Fibrosis and Atrial Fibrillation: Computerized and Optical Mapping; A View into the Human Atria at Submillimeter Resolution.

Authors:  Brian J Hansen; Jichao Zhao; Vadim V Fedorov
Journal:  JACC Clin Electrophysiol       Date:  2017-06-20

6.  Myofiber Architecture of the Human Atria as Revealed by Submillimeter Diffusion Tensor Imaging.

Authors:  Farhad Pashakhanloo; Daniel A Herzka; Hiroshi Ashikaga; Susumu Mori; Neville Gai; David A Bluemke; Natalia A Trayanova; Elliot R McVeigh
Journal:  Circ Arrhythm Electrophysiol       Date:  2016-04

7.  Computational Modeling for Antiarrhythmic Drugs for Atrial Fibrillation According to Genotype.

Authors:  Inseok Hwang; Je-Wook Park; Oh-Seok Kwon; Byounghyun Lim; Myunghee Hong; Min Kim; Hee-Tae Yu; Tae-Hoon Kim; Jae-Sun Uhm; Boyoung Joung; Moon-Hyoung Lee; Hui-Nam Pak
Journal:  Front Physiol       Date:  2021-05-13       Impact factor: 4.566

8.  Electrophysiological Rotor Ablation in In-Silico Modeling of Atrial Fibrillation: Comparisons with Dominant Frequency, Shannon Entropy, and Phase Singularity.

Authors:  Minki Hwang; Jun-Seop Song; Young-Seon Lee; Changyong Li; Eun Bo Shim; Hui-Nam Pak
Journal:  PLoS One       Date:  2016-02-24       Impact factor: 3.240

9.  Novel Radiofrequency Ablation Strategies for Terminating Atrial Fibrillation in the Left Atrium: A Simulation Study.

Authors:  Jason D Bayer; Caroline H Roney; Ali Pashaei; Pierre Jaïs; Edward J Vigmond
Journal:  Front Physiol       Date:  2016-04-12       Impact factor: 4.566

10.  Inducibility of human atrial fibrillation in an in silico model reflecting local acetylcholine distribution and concentration.

Authors:  Minki Hwang; Hyun-Seung Lee; Hui-Nam Pak; Eun Bo Shim
Journal:  Korean J Physiol Pharmacol       Date:  2015-12-31       Impact factor: 2.016

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