Literature DB >> 21212393

Whole-heart modeling: applications to cardiac electrophysiology and electromechanics.

Natalia A Trayanova1.   

Abstract

Recent developments in cardiac simulation have rendered the heart the most highly integrated example of a virtual organ. We are on the brink of a revolution in cardiac research, one in which computational modeling of proteins, cells, tissues, and the organ permit linking genomic and proteomic information to the integrated organ behavior, in the quest for a quantitative understanding of the functioning of the heart in health and disease. The goal of this review is to assess the existing state-of-the-art in whole-heart modeling and the plethora of its applications in cardiac research. General whole-heart modeling approaches are presented, and the applications of whole-heart models in cardiac electrophysiology and electromechanics research are reviewed. The article showcases the contributions that whole-heart modeling and simulation have made to our understanding of the functioning of the heart. A summary of the future developments envisioned for the field of cardiac simulation and modeling is also presented. Biophysically based computational modeling of the heart, applied to human heart physiology and the diagnosis and treatment of cardiac disease, has the potential to dramatically change 21st century cardiac research and the field of cardiology.

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Year:  2011        PMID: 21212393      PMCID: PMC3031963          DOI: 10.1161/CIRCRESAHA.110.223610

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


  85 in total

Review 1.  Electrophysiological modeling of cardiac ventricular function: from cell to organ.

Authors:  R L Winslow; D F Scollan; A Holmes; C K Yung; J Zhang; M S Jafri
Journal:  Annu Rev Biomed Eng       Date:  2000       Impact factor: 9.590

Review 2.  Imaging-based integrative models of the heart: closing the loop between experiment and simulation.

Authors:  Raimond L Winslow; Patrick Helm; William Baumgartner; Srinivas Peddi; Tilak Ratnanather; Elliot McVeigh; Michael I Miller
Journal:  Novartis Found Symp       Date:  2002

3.  Cardiac action and pacemaker potentials based on the Hodgkin-Huxley equations.

Authors:  D NOBLE
Journal:  Nature       Date:  1960-11-05       Impact factor: 49.962

4.  Short-term cardiac memory and mother rotor fibrillation.

Authors:  Ali Baher; Zhilin Qu; Ashkan Hayatdavoudi; Scott T Lamp; Ming-Jim Yang; Fagen Xie; Stephen Turner; Alan Garfinkel; James N Weiss
Journal:  Am J Physiol Heart Circ Physiol       Date:  2006-08-04       Impact factor: 4.733

Review 5.  Photon scattering effects in optical mapping of propagation and arrhythmogenesis in the heart.

Authors:  Martin J Bishop; David J Gavaghan; Natalia A Trayanova; Blanca Rodriguez
Journal:  J Electrocardiol       Date:  2007 Nov-Dec       Impact factor: 1.438

6.  Approximate model of cooperative activation and crossbridge cycling in cardiac muscle using ordinary differential equations.

Authors:  John Jeremy Rice; Fei Wang; Donald M Bers; Pieter P de Tombe
Journal:  Biophys J       Date:  2008-01-30       Impact factor: 4.033

7.  Distribution of extracellular potassium and its relation to electrophysiologic changes during acute myocardial ischemia in the isolated perfused porcine heart.

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Journal:  Circulation       Date:  1988-05       Impact factor: 29.690

8.  A simulation study of the effects of cardiac anatomy in ventricular fibrillation.

Authors:  Fagen Xie; Zhilin Qu; Junzhong Yang; Ali Baher; James N Weiss; Alan Garfinkel
Journal:  J Clin Invest       Date:  2004-03       Impact factor: 14.808

9.  Systolic improvement and mechanical resynchronization does not require electrical synchrony in the dilated failing heart with left bundle-branch block.

Authors:  Christophe Leclercq; Owen Faris; Richard Tunin; Jennifer Johnson; Ritsuchi Kato; Frank Evans; Julio Spinelli; Henry Halperin; Elliot McVeigh; David A Kass
Journal:  Circulation       Date:  2002-10-01       Impact factor: 29.690

10.  Organization of ventricular fibrillation in the human heart.

Authors:  Kirsten H W J Ten Tusscher; Rok Hren; Alexander V Panfilov
Journal:  Circ Res       Date:  2007-05-31       Impact factor: 17.367

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  118 in total

Review 1.  Computational modeling of the human atrial anatomy and electrophysiology.

Authors:  Olaf Dössel; Martin W Krueger; Frank M Weber; Mathias Wilhelms; Gunnar Seemann
Journal:  Med Biol Eng Comput       Date:  2012-06-21       Impact factor: 2.602

Review 2.  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

3.  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

4.  Left Ventricular Diastolic and Systolic Material Property Estimation from Image Data: LV Mechanics Challenge.

Authors:  Adarsh Krishnamurthy; Christopher Villongco; Amanda Beck; Jeffrey Omens; Andrew McCulloch
Journal:  Stat Atlases Comput Models Heart       Date:  2015-01

5.  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

6.  Mechanistic insight into prolonged electromechanical delay in dyssynchronous heart failure: a computational study.

Authors:  Jason Constantino; Yuxuan Hu; Albert C Lardo; Natalia A Trayanova
Journal:  Am J Physiol Heart Circ Physiol       Date:  2013-08-09       Impact factor: 4.733

7.  Computationally efficient model of myocardial electromechanics for multiscale simulations.

Authors:  Fyodor Syomin; Anna Osepyan; Andrey Tsaturyan
Journal:  PLoS One       Date:  2021-07-22       Impact factor: 3.240

8.  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

9.  Efficient Computational Modeling of Human Ventricular Activation and Its Electrocardiographic Representation: A Sensitivity Study.

Authors:  Jonathan P Cranford; Thomas J O'Hara; Christopher T Villongco; Omar M Hafez; Robert C Blake; Joseph Loscalzo; Jean-Luc Fattebert; David F Richards; Xiaohua Zhang; James N Glosli; Andrew D McCulloch; David E Krummen; Felice C Lightstone; Sergio E Wong
Journal:  Cardiovasc Eng Technol       Date:  2018-03-16       Impact factor: 2.495

10.  Computational prediction of the effect of D172N KCNJ2 mutation on ventricular pumping during sinus rhythm and reentry.

Authors:  Aulia Khamas Heikhmakhtiar; Chung Hao Lee; Kwang Soup Song; Ki Moo Lim
Journal:  Med Biol Eng Comput       Date:  2020-02-24       Impact factor: 2.602

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