Literature DB >> 19207787

A tissue-specific model of reentry in the right atrial appendage.

Jichao Zhao1, Mark L Trew, Ian J Legrice, Bruce H Smaill, Andrew J Pullan.   

Abstract

INTRODUCTION: Atrial fibrillation is prevalent in the elderly and contributes to mortality in congestive heart failure. Development of computer models of atrial electrical activation that incorporate realistic structures provides a means of investigating the mechanisms that initiate and maintain reentrant atrial arrhythmia. As a step toward this, we have developed a model of the right atrial appendage (RAA) including detailed geometry of the pectinate muscles (PM) and crista terminalis (CT) with high spatial resolution, as well as complete fiber architecture. METHODS AND
RESULTS: Detailed structural images of a pig RAA were acquired using a semiautomated extended-volume imaging system. The generally accepted anisotropic ratio of 10:1 was adopted in the computer model. To deal with the regional action potential duration heterogeneity in the RAA, a Courtemanche cell model and a Luo-Rudy cell model were used for the CT and PM, respectively. Activation through the CT and PM network was adequately reproduced with acceptable accuracy using reduced-order computer models. Using a train of reducing cycle length stimuli applied to a CT/PM junction, we observed functional block both parallel with and perpendicular to the axis of the CT.
CONCLUSION: With stimulation from the CT at the junction of a PM, we conclude: (a) that conduction block within the CT is due to a reduced safety factor; and (b) that unidirectional block and reentry within the CT is due to its high anisotropy. Regional differences in effective refractive period do not explain the observed conduction block.

Entities:  

Mesh:

Year:  2009        PMID: 19207787     DOI: 10.1111/j.1540-8167.2008.01420.x

Source DB:  PubMed          Journal:  J Cardiovasc Electrophysiol        ISSN: 1045-3873


  12 in total

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Review 2.  Multiscale modeling of gastrointestinal electrophysiology and experimental validation.

Authors:  Peng Du; Greg O'Grady; John B Davidson; Leo K Cheng; Andrew J Pullan
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Review 3.  Mathematical approaches to understanding and imaging atrial fibrillation: significance for mechanisms and management.

Authors:  Natalia A Trayanova
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4.  Tissue-specific mathematical models of slow wave entrainment in wild-type and 5-HT(2B) knockout mice with altered interstitial cells of Cajal networks.

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Review 5.  Molecular determinants of cardiac fibroblast electrical function and therapeutic implications for atrial fibrillation.

Authors:  Lixia Yue; Jia Xie; Stanley Nattel
Journal:  Cardiovasc Res       Date:  2010-10-20       Impact factor: 10.787

6.  In-silico modeling of atrial repolarization in normal and atrial fibrillation remodeled state.

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Journal:  Med Biol Eng Comput       Date:  2013-07-18       Impact factor: 2.602

Review 7.  Optimization of catheter ablation of atrial fibrillation: insights gained from clinically-derived computer models.

Authors:  Jichao Zhao; Sanjay R Kharche; Brian J Hansen; Thomas A Csepe; Yufeng Wang; Martin K Stiles; Vadim V Fedorov
Journal:  Int J Mol Sci       Date:  2015-05-13       Impact factor: 5.923

8.  Personalized Imaging and Modeling Strategies for Arrhythmia Prevention and Therapy.

Authors:  Natalia A Trayanova; Patrick M Boyle; Plamen P Nikolov
Journal:  Curr Opin Biomed Eng       Date:  2018-03

Review 9.  Computational models in cardiology.

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

10.  Systems biology and the virtual physiological human.

Authors:  Peter Kohl; Denis Noble
Journal:  Mol Syst Biol       Date:  2009-07-28       Impact factor: 11.429

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