Literature DB >> 23430363

A simple model of the right atrium of the human heart with the sinoatrial and atrioventricular nodes included.

Piotr Podziemski1, Jan J Zebrowski.   

Abstract

Existing atrial models with detailed anatomical structure and multi-variable cardiac transmembrane current models are too complex to allow to combine an investigation of long time dycal properties of the heart rhythm with the ability to effectively simulate cardiac electrical activity during arrhythmia. Other ways of modeling need to be investigated. Moreover, many state-of-the-art models of the right atrium do not include an atrioventricular node (AVN) and only rarely--the sinoatrial node (SAN). A model of the heart tissue within the right atrium including the SAN and AVN nodes was developed. Looking for a minimal model, currently we are testing our approach on chosen well-known arrhythmias, which were until now obtained only using much more complicated models, or were only observed in a clinical setting. Ultimately, the goal is to obtain a model able to generate sequences of RR intervals specific for the arrhythmias involving the AV junction as well as for other phenomena occurring within the atrium. The model should be fast enough to allow the study of heart rate variability and arrhythmias at a time scale of thousands of heart beats in real-time. In the model of the right atrium proposed here, different kinds of cardiac tissues are described by sets of different equations, with most of them belonging to the class of Liénard nonlinear dynamical systems. We have developed a series of models of the right atrium with differing anatomical simplifications, in the form of a 2D mapping of the atrium or of an idealized cylindrical geometry, including only those anatomical details required to reproduce a given physiological phenomenon. The simulations allowed to reconstruct the phase relations between the sinus rhythm and the location and properties of a parasystolic source together with the effect of this source on the resultant heart rhythm. We model the action potential conduction time alternans through the atrioventricular AVN junction observed in cardiac tissue in electrophysiological studies during the ventricular-triggered atrial tachycardia. A simulation of the atrio-ventricular nodal reentry tachycardia was performed together with an entrainment procedure in which the arrhythmia circuit was located by measuring the post-pacing interval (PPI) at simulated mapping catheters. The generation and interpretation of RR times series is the ultimate goal of our research. However, to reach that goal we need first to (1) somehow verify the validity of the model of the atrium with the nodes included and (2) include in the model the effect of the sympathetic and vagal ANS. The current paper serves as a partial solution of the 1). In particular we show, that measuring the PPI-TCL entrainment response in proximal (possibly-the slow-conducting pathway), the distal and at a mid-distance from CS could help in rapid distinction of AVNRT from other atrial tachycardias. Our simulations support the hypothesis that the alternans of the conduction time between the atria and the ventricles in the AV orthodromic reciprocating tachycardia can occur within a single pathway. In the atrial parasystole simulation, we found a mathematical condition which allows for a rough estimation of the location of the parasystolic source within the atrium, both for simplified (planar) and the cylindrical geometry of the atrium. The planar and the cylindrical geometry yielded practically the same results of simulations.

Entities:  

Mesh:

Year:  2013        PMID: 23430363      PMCID: PMC3689917          DOI: 10.1007/s10877-013-9429-6

Source DB:  PubMed          Journal:  J Clin Monit Comput        ISSN: 1387-1307            Impact factor:   2.502


  34 in total

1.  Heart disease and stroke statistics--2012 update: a report from the American Heart Association.

Authors:  Véronique L Roger; Alan S Go; Donald M Lloyd-Jones; Emelia J Benjamin; Jarett D Berry; William B Borden; Dawn M Bravata; Shifan Dai; Earl S Ford; Caroline S Fox; Heather J Fullerton; Cathleen Gillespie; Susan M Hailpern; John A Heit; Virginia J Howard; Brett M Kissela; Steven J Kittner; Daniel T Lackland; Judith H Lichtman; Lynda D Lisabeth; Diane M Makuc; Gregory M Marcus; Ariane Marelli; David B Matchar; Claudia S Moy; Dariush Mozaffarian; Michael E Mussolino; Graham Nichol; Nina P Paynter; Elsayed Z Soliman; Paul D Sorlie; Nona Sotoodehnia; Tanya N Turan; Salim S Virani; Nathan D Wong; Daniel Woo; Melanie B Turner
Journal:  Circulation       Date:  2011-12-15       Impact factor: 29.690

2.  Impulses and Physiological States in Theoretical Models of Nerve Membrane.

Authors:  R Fitzhugh
Journal:  Biophys J       Date:  1961-07       Impact factor: 4.033

3.  Ionic mechanisms underlying human atrial action potential properties: insights from a mathematical model.

Authors:  M Courtemanche; R J Ramirez; S Nattel
Journal:  Am J Physiol       Date:  1998-07

4.  Acute vagal modulation of electrophysiology of the atrial and pulmonary veins increases vulnerability to atrial fibrillation.

Authors:  Mário Oliveira; M Nogueira da Silva; Vera Geraldes; Rita Xavier; Sérgio Laranjo; Vitor Silva; Gabriela Postolache; Rui Ferreira; Isabel Rocha
Journal:  Exp Physiol       Date:  2010-10-15       Impact factor: 2.969

5.  euHeart: personalized and integrated cardiac care using patient-specific cardiovascular modelling.

Authors:  Nic Smith; Adelaide de Vecchi; Matthew McCormick; David Nordsletten; Oscar Camara; Alejandro F Frangi; Hervé Delingette; Maxime Sermesant; Jatin Relan; Nicholas Ayache; Martin W Krueger; Walther H W Schulze; Rod Hose; Israel Valverde; Philipp Beerbaum; Cristina Staicu; Maria Siebes; Jos Spaan; Peter Hunter; Juergen Weese; Helko Lehmann; Dominique Chapelle; Reza Rezavi
Journal:  Interface Focus       Date:  2011-04-01       Impact factor: 3.906

6.  Identification of reentry circuit sites during catheter mapping and radiofrequency ablation of ventricular tachycardia late after myocardial infarction.

Authors:  W G Stevenson; H Khan; P Sager; L A Saxon; H R Middlekauff; P D Natterson; I Wiener
Journal:  Circulation       Date:  1993-10       Impact factor: 29.690

Review 7.  Computational approaches to understand cardiac electrophysiology and arrhythmias.

Authors:  Byron N Roberts; Pei-Chi Yang; Steven B Behrens; Jonathan D Moreno; Colleen E Clancy
Journal:  Am J Physiol Heart Circ Physiol       Date:  2012-08-10       Impact factor: 4.733

8.  One-dimensional mathematical model of the atrioventricular node including atrio-nodal, nodal, and nodal-his cells.

Authors:  S Inada; J C Hancox; H Zhang; M R Boyett
Journal:  Biophys J       Date:  2009-10-21       Impact factor: 4.033

9.  Dynamic restitution of action potential duration during electrical alternans and ventricular fibrillation.

Authors:  M L Koller; M L Riccio; R F Gilmour
Journal:  Am J Physiol       Date:  1998-11

Review 10.  Atypical flutter: a review.

Authors:  Francisco G Cosío; Arturo Martín-Peñato; Agustín Pastor; Ambrosio Nuñez; Antonio Goicolea
Journal:  Pacing Clin Electrophysiol       Date:  2003-11       Impact factor: 1.976

View more
  8 in total

1.  Introduction to the special issue: papers from the Society for Complex Acute Illness (SCAI).

Authors:  Sven Zenker
Journal:  J Clin Monit Comput       Date:  2013-08       Impact factor: 2.502

2.  Characterisation of human AV-nodal properties using a network model.

Authors:  Mikael Wallman; Frida Sandberg
Journal:  Med Biol Eng Comput       Date:  2017-07-13       Impact factor: 2.602

Review 3.  Calibration of ionic and cellular cardiac electrophysiology models.

Authors:  Dominic G Whittaker; Michael Clerx; Chon Lok Lei; David J Christini; Gary R Mirams
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2020-02-21

4.  Reentry and Ectopic Pacemakers Emerge in a Three-Dimensional Model for a Slab of Cardiac Tissue with Diffuse Microfibrosis near the Percolation Threshold.

Authors:  Sergio Alonso; Rodrigo Weber Dos Santos; Markus Bär
Journal:  PLoS One       Date:  2016-11-22       Impact factor: 3.240

5.  Computational assessment of the functional role of sinoatrial node exit pathways in the human heart.

Authors:  Sanjay R Kharche; Edward Vigmond; Igor R Efimov; Halina Dobrzynski
Journal:  PLoS One       Date:  2017-09-05       Impact factor: 3.240

6.  Heart Rhythm Insights Into Structural Remodeling in Atrial Tissue: Timed Automata Approach.

Authors:  Danuta Makowiec; Joanna Wdowczyk; Zbigniew R Struzik
Journal:  Front Physiol       Date:  2019-01-14       Impact factor: 4.566

7.  Rotors Detected by Phase Analysis of Filtered, Epicardial Atrial Fibrillation Electrograms Colocalize With Regions of Conduction Block.

Authors:  Piotr Podziemski; Stef Zeemering; Pawel Kuklik; Arne van Hunnik; Bart Maesen; Jos Maessen; Harry J Crijns; Sander Verheule; Ulrich Schotten
Journal:  Circ Arrhythm Electrophysiol       Date:  2018-10

Review 8.  Model Systems for Addressing Mechanism of Arrhythmogenesis in Cardiac Repair.

Authors:  Xiao-Dong Zhang; Phung N Thai; Deborah K Lieu; Nipavan Chiamvimonvat
Journal:  Curr Cardiol Rep       Date:  2021-05-29       Impact factor: 2.931

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.