Literature DB >> 12757198

Homogeneity of cardiac contraction despite physiological asynchrony of depolarization: a model study.

R C P Kerckhoffs1, P H M Bovendeerd, J C S Kotte, F W Prinzen, K Smits, T Arts.   

Abstract

The use of mathematical models combining wave propagation and wall mechanics may provide new insights in the interpretation of cardiac deformation toward various forms of cardiac pathology. In the present study we investigated whether combining accepted mechanisms on propagation of the depolarization wave, time variant mechanical properties of cardiac tissue after depolarization, and hemodynamic load of the left ventricle (LV) by the aortic impedance in a three-dimensional finite element model results in a physiological pattern of cardiac contraction. We assumed that the delay between depolarization for all myocytes and the onset of crossbridge formation was constant. Two simulations were performed, one in which contraction was initiated according to the regular depolarization pattern (NORM simulation), and another in which contraction was initiated after synchronous depolarization (SYNC simulation). In the NORM simulation propagation of depolarization was physiological, but wall strain was unphysiologically inhomogeneous. When simulating LV mechanics with unphysiological synchronous depolarization (SYNC) myofiber strain was more homogeneous and more physiologic. Apparently, the assumption of a constant delay between depolarization and onset of crossbridge formation results in an unrealistic contraction pattern. The present finding may indicate that electromechanical delay times are heterogeneously distributed, such that a contraction in a normal heart is more synchronous than depolarization.

Entities:  

Mesh:

Year:  2003        PMID: 12757198     DOI: 10.1114/1.1566447

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  36 in total

Review 1.  Multi-scale computational models of familial hypertrophic cardiomyopathy: genotype to phenotype.

Authors:  Stuart G Campbell; Andrew D McCulloch
Journal:  J R Soc Interface       Date:  2011-08-10       Impact factor: 4.118

2.  Electromechanics of paced left ventricle simulated by straightforward mathematical model: comparison with experiments.

Authors:  R C P Kerckhoffs; O P Faris; P H M Bovendeerd; F W Prinzen; K Smits; E R McVeigh; T Arts
Journal:  Am J Physiol Heart Circ Physiol       Date:  2005-06-17       Impact factor: 4.733

3.  Coupling of a 3D finite element model of cardiac ventricular mechanics to lumped systems models of the systemic and pulmonic circulation.

Authors:  Roy C P Kerckhoffs; Maxwell L Neal; Quan Gu; James B Bassingthwaighte; Jeff H Omens; Andrew D McCulloch
Journal:  Ann Biomed Eng       Date:  2006-11-08       Impact factor: 3.934

Review 4.  Cardiac resynchronization: insight from experimental and computational models.

Authors:  R C P Kerckhoffs; J Lumens; K Vernooy; J H Omens; L J Mulligan; T Delhaas; T Arts; A D McCulloch; F W Prinzen
Journal:  Prog Biophys Mol Biol       Date:  2008-03-05       Impact factor: 3.667

Review 5.  Current progress in patient-specific modeling.

Authors:  Maxwell Lewis Neal; Roy Kerckhoffs
Journal:  Brief Bioinform       Date:  2009-12-02       Impact factor: 11.622

6.  A tissue-level electromechanical model of the left ventricle: application to the analysis of intraventricular pressure.

Authors:  Virginie Le Rolle; Guy Carrault; Pierre-Yves Richard; Philippe Pibarot; Louis-Gilles Durand; Alfredo I Hernández
Journal:  Acta Biotheor       Date:  2009-10-29       Impact factor: 1.774

7.  Transmural cellular heterogeneity in myocardial electromechanics.

Authors:  Anastasia Khokhlova; Nathalie Balakina-Vikulova; Leonid Katsnelson; Gentaro Iribe; Olga Solovyova
Journal:  J Physiol Sci       Date:  2017-06-01       Impact factor: 2.781

8.  Improved discretisation and linearisation of active tension in strongly coupled cardiac electro-mechanics simulations.

Authors:  J Sundnes; S Wall; H Osnes; T Thorvaldsen; A D McCulloch
Journal:  Comput Methods Biomech Biomed Engin       Date:  2012-07-16       Impact factor: 1.763

9.  Electromechanical models of the ventricles.

Authors:  Natalia A Trayanova; Jason Constantino; Viatcheslav Gurev
Journal:  Am J Physiol Heart Circ Physiol       Date:  2011-05-13       Impact factor: 4.733

10.  Effects of biventricular pacing and scar size in a computational model of the failing heart with left bundle branch block.

Authors:  Roy C P Kerckhoffs; Andrew D McCulloch; Jeffrey H Omens; Lawrence J Mulligan
Journal:  Med Image Anal       Date:  2008-07-04       Impact factor: 8.545

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.