Literature DB >> 17947797

Laminar arrangement of ventricular myocytes influences electrical behavior of the heart.

Darren A Hooks1, Mark L Trew, Bryan J Caldwell, Gregory B Sands, Ian J LeGrice, Bruce H Smaill.   

Abstract

The response of the heart to electrical shock, electrical propagation in sinus rhythm, and the spatiotemporal dynamics of ventricular fibrillation all depend critically on the electrical anisotropy of cardiac tissue. A long-held view of cardiac electrical anisotropy is that electrical conductivity is greatest along the myocyte axis allowing most rapid propagation of electrical activation in this direction, and that conductivity is isotropic transverse to the myocyte axis supporting a slower uniform spread of activation in this plane. In this context, knowledge of conductivity in two directions, parallel and transverse to the myofiber axis, is sufficient to characterize the electrical action of the heart. Here we present new experimental data that challenge this view. We have used a novel combination of intramural electrical mapping, and experiment-specific computer modeling, to demonstrate that left ventricular myocardium has unique bulk conductivities associated with three microstructurally-defined axes. We show that voltage fields induced by intramural current injection are influenced by not only myofiber direction, but also the transmural arrangement of muscle layers or myolaminae. Computer models of these experiments, in which measured 3D tissue structure was reconstructed in-silico, best matched recorded voltages with conductivities in the myofiber direction, and parallel and normal to myolaminae, set in the ratio 4:2:1, respectively. These findings redefine cardiac tissue as an electrically orthotropic substrate and enhance our understanding of how external shocks may act to successfully reset the fibrillating heart into a uniform electrical state. More generally, the mechanisms governing the destabilization of coordinated electrical propagation into ventricular arrhythmia need to be evaluated in the light of this discovery.

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Year:  2007        PMID: 17947797     DOI: 10.1161/CIRCRESAHA.107.161075

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


  59 in total

1.  The presence of two local myocardial sheet populations confirmed by diffusion tensor MRI and histological validation.

Authors:  Geoffrey L Kung; Tom C Nguyen; Aki Itoh; Stefan Skare; Neil B Ingels; D Craig Miller; Daniel B Ennis
Journal:  J Magn Reson Imaging       Date:  2011-09-19       Impact factor: 4.813

2.  Visualization and quantification of whole rat heart laminar structure using high-spatial resolution contrast-enhanced MRI.

Authors:  Stephen H Gilbert; David Benoist; Alan P Benson; Ed White; Steven F Tanner; Arun V Holden; Halina Dobrzynski; Olivier Bernus; Aleksandra Radjenovic
Journal:  Am J Physiol Heart Circ Physiol       Date:  2011-10-21       Impact factor: 4.733

3.  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

4.  A biophysical model for cardiac microimpedance measurements.

Authors:  Andrew E Pollard; Roger C Barr
Journal:  Am J Physiol Heart Circ Physiol       Date:  2010-04-02       Impact factor: 4.733

5.  A novel rule-based algorithm for assigning myocardial fiber orientation to computational heart models.

Authors:  J D Bayer; R C Blake; G Plank; N A Trayanova
Journal:  Ann Biomed Eng       Date:  2012-05-31       Impact factor: 3.934

6.  Impact of decellularization on porcine myocardium as scaffold for tissue engineered heart tissue.

Authors:  Xiaofeng Ye; Haozhe Wang; Wenhui Gong; Shen Li; Haiqing Li; Zhe Wang; Qiang Zhao
Journal:  J Mater Sci Mater Med       Date:  2016-02-17       Impact factor: 3.896

Review 7.  Modeling defibrillation of the heart: approaches and insights.

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

8.  Novel micropatterned cardiac cell cultures with realistic ventricular microstructure.

Authors:  Nima Badie; Nenad Bursac
Journal:  Biophys J       Date:  2009-05-06       Impact factor: 4.033

9.  A multi-electrode array and inversion technique for retrieving six conductivities from heart potential measurements.

Authors:  Barbara M Johnston; Peter R Johnston
Journal:  Med Biol Eng Comput       Date:  2013-07-28       Impact factor: 2.602

10.  An Inverse Eikonal Method for Identifying Ventricular Activation Sequences from Epicardial Activation Maps.

Authors:  Thomas Grandits; Karli Gillette; Aurel Neic; Jason Bayer; Edward Vigmond; Thomas Pock; Gernot Plank
Journal:  J Comput Phys       Date:  2020-07-03       Impact factor: 3.553

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