Literature DB >> 17540975

Organization of ventricular fibrillation in the human heart.

Kirsten H W J Ten Tusscher1, Rok Hren, Alexander V Panfilov.   

Abstract

Sudden cardiac death is a major cause of death in the industrialized world, claiming approximately 300,000 victims annually in the United States alone. In most cases, sudden cardiac death is caused by ventricular fibrillation (VF). Experimental studies in large animal hearts have shown that the uncoordinated contractions during VF are caused by large numbers of chaotically wandering reentrant waves of electrical activity. However, recent clinical data on VF in the human heart seem to suggest that human VF may have a markedly different organization. Here, we use a detailed model of the human ventricles, including a detailed description of cell electrophysiology, ventricular anatomy, and fiber direction anisotropy, to study the organization of human VF. We show that characteristics of our simulated VF are qualitatively similar to the clinical data. Furthermore, we find that human VF is driven by only approximately 10 reentrant sources and thus is much more organized than VF in animal hearts of comparable size, where VF is driven by approximately 50 sources. We investigate the influence of anisotropy ratio, tissue excitability, and restitution properties on the number of reentrant sources driving VF. We find that the number of rotors depends strongest on minimum action potential duration, a property that differs significantly between human and large animal hearts. Based on these findings, we suggest that the simpler spatial organization of human VF relative to VF in large animal hearts may be caused by differences in minimum action potential duration. Both the simpler spatial organization of human VF and its suggested cause may have important implications for treating and preventing this dangerous arrhythmia in humans.

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Year:  2007        PMID: 17540975     DOI: 10.1161/CIRCRESAHA.107.150730

Source DB:  PubMed          Journal:  Circ Res        ISSN: 0009-7330            Impact factor:   17.367


  54 in total

1.  Construction and validation of anisotropic and orthotropic ventricular geometries for quantitative predictive cardiac electrophysiology.

Authors:  Alan P Benson; Olivier Bernus; Hans Dierckx; Stephen H Gilbert; John P Greenwood; Arun V Holden; Kevin Mohee; Sven Plein; Aleksandra Radjenovic; Michael E Ries; Godfrey L Smith; Steven Sourbron; Richard D Walton
Journal:  Interface Focus       Date:  2010-12-03       Impact factor: 3.906

Review 2.  Modeling defibrillation of the heart: approaches and insights.

Authors:  Natalia Trayanova; Jason Constantino; Takashi Ashihara; Gernot Plank
Journal:  IEEE Rev Biomed Eng       Date:  2011

3.  Image-based estimation of ventricular fiber orientations for personalized modeling of cardiac electrophysiology.

Authors:  Fijoy Vadakkumpadan; Hermenegild Arevalo; Can Ceritoglu; Michael Miller; Natalia Trayanova
Journal:  IEEE Trans Med Imaging       Date:  2012-01-18       Impact factor: 10.048

4.  The long and the short of long and short duration ventricular fibrillation.

Authors:  Natalia A Trayanova
Journal:  Circ Res       Date:  2008-05-23       Impact factor: 17.367

5.  Nonlinear and Stochastic Dynamics in the Heart.

Authors:  Zhilin Qu; Gang Hu; Alan Garfinkel; James N Weiss
Journal:  Phys Rep       Date:  2014-10-10       Impact factor: 25.600

6.  A simple model of pumping function of the left ventricle of the heart.

Authors:  F A Syomin; A K Tsaturyan
Journal:  Dokl Biochem Biophys       Date:  2015-07-12       Impact factor: 0.788

7.  Integrative computational models of cardiac arrhythmias -- simulating the structurally realistic heart.

Authors:  Natalia A Trayanova; Brock M Tice
Journal:  Drug Discov Today Dis Models       Date:  2009

Review 8.  Space physiology IV: mathematical modeling of the cardiovascular system in space exploration.

Authors:  M Keith Sharp; Jerry Joseph Batzel; Jean-Pierre Montani
Journal:  Eur J Appl Physiol       Date:  2013-03-29       Impact factor: 3.078

9.  Patient-specific modeling of the heart: estimation of ventricular fiber orientations.

Authors:  Fijoy Vadakkumpadan; Hermenegild Arevalo; Natalia A Trayanova
Journal:  J Vis Exp       Date:  2013-01-08       Impact factor: 1.355

10.  Automatically generated, anatomically accurate meshes for cardiac electrophysiology problems.

Authors:  Anton J Prassl; Ferdinand Kickinger; Helmut Ahammer; Vicente Grau; Jürgen E Schneider; Ernst Hofer; Edward J Vigmond; Natalia A Trayanova; Gernot Plank
Journal:  IEEE Trans Biomed Eng       Date:  2009-02-06       Impact factor: 4.538

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