Advances in modeling ventricular arrhythmias: From mechanisms to the clinic

Wiley Interdisciplinary Reviews: Systems Biology and Medicine

Volumn 6, Issue 2, 2014, Pages 209-224

  Trayanova, Natalia A ^a   Boyle, Patrick M ^a  

^a Johns Hopkins University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMALS; ARRHYTHMIAS, CARDIAC; FIBROBLASTS; HEART; HEART VENTRICLES; HUMANS; MODELS, CARDIOVASCULAR; OPTOGENETICS; PURKINJE CELLS; VENTRICULAR REMODELING;

EID: 84894049643     PISSN: 19395094     EISSN: 1939005X     Source Type: Journal    
DOI: 10.1002/wsbm.1256     Document Type: Article

References (128)

1. Noble D. Modeling the heart-from genes to cells to the whole organ. Science 2002, 295:1678-1682.
2. Trayanova NA. Whole-heart modeling: applications to cardiac electrophysiology and electromechanics. Circ Res 2011, 108:113-128.
3. Vigmond E, Vadakkumpadan F, Gurev V, Arevalo H, Deo M, Plank G, Trayanova N. Towards predictive modelling of the electrophysiology of the heart. Exp Physiol 2009, 94:563-577.
4. Winslow RL, Trayanova N, Geman D, Miller MI. Computational medicine: translating models to clinical care. Sci Transl Med 2012, 4:158rv111.
5. Fink M, Niederer SA, Cherry EM, Fenton FH, Koivumaki JT, Seemann G, Thul R, Zhang H, Sachse FB, Beard D, et al. Cardiac cell modelling: observations from the heart of the cardiac physiome project. Prog Biophys Mol Biol 2011, 104:2-21.
6. Roberts BN, Yang PC, Behrens SB, Moreno JD, Clancy CE. Computational approaches to understand cardiac electrophysiology and arrhythmias. Am J Physiol Heart Circ Physiol 2012, 303:H766-H783.
7. ten Tusscher KH, Panfilov AV. Alternans and spiral breakup in a human ventricular tissue model. Am J Physiol Heart Circ Physiol 2006, 291:H1088-H1100.
8. Fink M, Noble D, Virag L, Varro A, Giles WR. Contributions of HERG K+current to repolarization of the human ventricular action potential. Prog Biophys Mol Biol 2008, 96:357-376.
9. Grandi E, Pasqualini FS, Bers DM. A novel computational model of the human ventricular action potential and Ca transient. J Mol Cell Cardiol 2010, 48:112-121.
10. O'Hara T, Virag L, Varro A, Rudy Y. Simulation of the undiseased human cardiac ventricular action potential: model formulation and experimental validation. PLoS Comput Biol 2011, 7:e1002061.
11. Stewart P, Aslanidi OV, Noble D, Noble PJ, Boyett MR, Zhang H. Mathematical models of the electrical action potential of purkinje fibre cells. Philos Trans A Math Phys Eng Sci 2009, 367:2225-2255.
12. Aslanidi OV, Sleiman RN, Boyett MR, Hancox JC, Zhang H. Ionic mechanisms for electrical heterogeneity between rabbit purkinje fiber and ventricular cells. Biophys J 2010, 98:2420-2431.
13. Sampson KJ, Iyer V, Marks AR, Kass RS. A computational model of purkinje fibre single cell electrophysiology: implications for the long QT syndrome. J Physiol 2010, 588:2643-2655.
14. Li P, Rudy Y. A model of canine purkinje cell electrophysiology and Ca(2+) cycling: rate dependence, triggered activity, and comparison to ventricular myocytes. Circ Res 2011, 109:71-79.
15. Vaidyanathan R, O'Connell RP, Deo M, Milstein ML, Furspan P, Herron TJ, Pandit SV, Musa H, Berenfeld O, Jalife J, et al. The ionic bases of the action potential in isolated mouse cardiac purkinje cell. Heart Rhythm 2013, 10:80-87.
16. Bishop MJ, Vigmond E, Plank G. Cardiac bidomain bath-loading effects during arrhythmias: interaction with anatomical heterogeneity. Biophys J 2011, 101:2871-2881.
17. Bishop MJ, Plank G. The role of fine-scale anatomical structure in the dynamics of reentry in computational models of the rabbit ventricles. J Physiol 2012, 590:4515-4535.
18. Bishop MJ, Plank G. Representing cardiac bidomain bath-loading effects by an augmented monodomain approach: application to complex ventricular models. IEEE Trans Biomed Eng 2011, 58:1066-1075.
19. Deo M, Boyle P, Plank G, Vigmond E. Arrhythmogenic mechanisms of the purkinje system during electric shocks: a modeling study. Heart Rhythm 2009, 6:1782-1789.
20. Deo M, Boyle PM, Kim AM, Vigmond EJ. Arrhythmogenesis by single ectopic beats originating in the purkinje system. Am J Physiol Heart Circ Physiol 2010, 299:H1002-H1011.
21. Cerrone M, Noujaim SF, Tolkacheva EG, Talkachou A, O'Connell R, Berenfeld O, Anumonwo J, Pandit SV, Vikstrom K, Napolitano C, et al. Arrhythmogenic mechanisms in a mouse model of catecholaminergic polymorphic ventricular tachycardia. Circ Res 2007, 101:1039-1048.
22. Robichaux RP, Dosdall DJ, Osorio J, Garner NW, Li L, Huang J, Ideker RE. Periods of highly synchronous, non-reentrant endocardial activation cycles occur during long-duration ventricular fibrillation. J Cardiovasc Electrophysiol 2010, 21:1266-1273.
23. Cha YM, Uchida T, Wolf PL, Peters BB, Fishbein MC, Karagueuzian HS, Chen PS. Effects of chemical subendocardial ablation on activation rate gradient during ventricular fibrillation. Am J Physiol 1995, 269:H1998-H2009.
24. Baher AA, Uy M, Xie F, Garfinkel A, Qu Z, Weiss JN. Bidirectional ventricular tachycardia: ping pong in the his-purkinje system. Heart Rhythm 2011, 8:599-605.
25. Boyle PM, Masse S, Nanthakumar K, Vigmond EJ. Transmural IK(ATP) heterogeneity as a determinant of activation rate gradient during early ventricular fibrillation: mechanistic insights from rabbit ventricular models. Heart Rhythm 2013, 10:1710-1717.
26. Boyle PM, Veenhuyzen GD, Vigmond EJ. Fusion during entrainment of orthodromic reciprocating tachycardia is enhanced for basal pacing sites but diminished when pacing near purkinje system end points. Heart Rhythm 2013, 10:444-451.
27. Veenhuyzen GD, Coverett K, Quinn FR, Sapp JL, Gillis AM, Sheldon R, Exner DV, Mitchell LB. Single diagnostic pacing maneuver for supraventricular tachycardia. Heart Rhythm 2008, 5:1152-1158.
28. Sebastian R, Zimmerman V, Romero D, Sanchez-Quintana D, Frangi AF. Characterization and modeling of the peripheral cardiac conduction system. IEEE Trans Med Imaging 2013, 32:45-55.
29. Ijiri T, Ashihara T, Yamaguchi T, Takayama K, Igarashi T, Shimada T, Namba T, Haraguchi R, Nakazawa K. A procedural method for modeling the purkinje fibers of the heart. J Physiol Sci 2008, 58:481-486.
30. Bordas R, Gillow K, Lou Q, Efimov IR, Gavaghan D, Kohl P, Grau V, Rodriguez B. Rabbit-specific ventricular model of cardiac electrophysiological function including specialized conduction system. Prog Biophys Mol Biol 2011, 107:90-100.
31. Ten Tusscher KH, Hren R, Panfilov AV. Organization of ventricular fibrillation in the human heart. Circ Res 2007, 100:e87-e101.
32. Garfinkel A, Kim YH, Voroshilovsky O, Qu Z, Kil JR, Lee MH, Karagueuzian HS, Weiss JN, Chen PS. Preventing ventricular fibrillation by flattening cardiac restitution. Proc Natl Acad Sci U S A 2000, 97:6061-6066.
33. Cherry E, Fenton F. Suppression of alternans and conduction blocks despite steep APD restitution: electrotonic, memory, and conduction velocity restitution effects. Am J Physiol Heart Circ Physiol 2004, 286:H2332-H2341.
34. Keldermann RH, ten Tusscher KH, Nash MP, Bradley CP, Hren R, Taggart P, Panfilov AV. A computational study of mother rotor VF in the human ventricles. Am J Physiol Heart Circ Physiol 2009, 296:H370-H379.
35. Keldermann RH, ten Tusscher KH, Nash MP, Hren R, Taggart P, Panfilov AV. Effect of heterogeneous APD restitution on VF organization in a model of the human ventricles. Am J Physiol Heart Circ Physiol 2008, 294:H764-H774.
36. Alonso S, Bar M, Panfilov AV. Negative tension of scroll wave filaments and turbulence in three-dimensional excitable media and application in cardiac dynamics. Bull Math Biol 2013, 75:1351-1376.
37. Alonso S, Panfilov AV. Negative filament tension at high excitability in a model of cardiac tissue. Phys Rev Lett 2008, 100:218101.
38. Fenton FH, Cherry EM, Hastings HM, Evans SJ. Multiple mechanisms of spiral wave breakup in a model of cardiac electrical activity. Chaos 2002, 12:852-892.
39. Li W, Kohl P, Trayanova N. Induction of ventricular arrhythmias following mechanical impact: a simulation study in 3D. J Mol Histol 2004, 35:679-686.
40. Li W, Kohl P, Trayanova N. Myocardial ischemia lowers precordial thump efficacy: an inquiry into mechanisms using three-dimensional simulations. Heart Rhythm 2006, 3:179-186.
41. Keldermann RH, Nash MP, Gelderblom H, Wang VY, Panfilov AV. Electromechanical wavebreak in a model of the human left ventricle. Am J Physiol Heart Circ Physiol 2010, 299:H134-H143.
42. Hu Y, Gurev V, Constantino J, Bayer JD, Trayanova NA. Effects of mechano-electric feedback on scroll wave stability in human ventricular fibrillation. PLoS One 2013, 8:e60287.
43. Moreno JD, Zhu ZI, Yang PC, Bankston JR, Jeng MT, Kang C, Wang L, Bayer JD, Christini DJ, Trayanova NA, et al. A computational model to predict the effects of class I anti-arrhythmic drugs on ventricular rhythms. Sci Transl Med 2011, 3:98ra83.
44. Wilhelms M, Rombach C, Scholz EP, Dossel O, Seemann G. Impact of amiodarone and cisapride on simulated human ventricular electrophysiology and electrocardiograms. Europace 2012, 14(suppl 5):v90-v96.
45. Carusi A, Burrage K, Rodriguez B. Bridging experiments, models and simulations: an integrative approach to validation in computational cardiac electrophysiology. Am J Physiol Heart Circ Physiol 2012, 303:H144-H155.
46. Dux-Santoy L, Sebastian R, Felix-Rodriguez J, Ferrero JM, Saiz J. Interaction of specialized cardiac conduction system with antiarrhythmic drugs: a simulation study. IEEE Trans Biomed Eng 2011, 58:3475-3478.
47. Zemzemi N, Bernabeu MO, Saiz J, Cooper J, Pathmanathan P, Mirams GR, Pitt-Francis J, Rodriguez B. Computational assessment of drug-induced effects on the electrocardiogram: from ion channel to body surface potentials. Br J Pharmacol 2013, 168:718-733.
48. Jie X, Trayanova NA. Mechanisms for initiation of reentry in acute regional ischemia phase 1B. Heart Rhythm 2010, 7:379-386.
49. Jie X, Rodriguez B, de Groot JR, Coronel R, Trayanova N. Reentry in survived subepicardium coupled to depolarized and inexcitable midmyocardium: insights into arrhythmogenesis in ischemia phase 1B. Heart Rhythm 2008, 5:1036-1044.
50. Jie X, Gurev V, Trayanova N. Mechanisms of mechanically induced spontaneous arrhythmias in acute regional ischemia. Circ Res 2010, 106:185-192.
51. Wang L, Wong KC, Zhang H, Liu H, Shi P. Noninvasive computational imaging of cardiac electrophysiology for 3-D infarct. IEEE Trans Biomed Eng 2011, 58:1033-1043.
52. Yang F. Simulation of electrocardiographic manifestation of healed infarctions using a 3D realistic rabbit ventricular model. Int J Cardiol 2011, 152:121-123.
53. Potse M, Krause D, Bacharova L, Krause R, Prinzen FW, Auricchio A. Similarities and differences between electrocardiogram signs of left bundle-branch block and left-ventricular uncoupling. Europace 2012, 14(suppl 5):v33-v39.
54. Adeniran I, McPate MJ, Witchel HJ, Hancox JC, Zhang H. Increased vulnerability of human ventricle to re-entrant excitation in hERG-linked variant 1 short QT syndrome. PLoS Comput Biol 2011, 7:e1002313.
55. Deo M, Ruan Y, Pandit SV, Shah K, Berenfeld O, Blaufox A, Cerrone M, Noujaim SF, Denegri M, Jalife J, et al. KCNJ2 mutation in short QT syndrome 3 results in atrial fibrillation and ventricular proarrhythmia. Proc Natl Acad Sci U S A 2013, 110:4291-4296.
56. Hoogendijk MG, Potse M, Vinet A, de Bakker JM, Coronel R. ST segment elevation by current-to-load mismatch: an experimental and computational study. Heart Rhythm 2011, 8:111-118.
57. Xia L, Zhang Y, Zhang H, Wei Q, Liu F, Crozier S. Simulation of brugada syndrome using cellular and three-dimensional whole-heart modeling approaches. Physiol Meas 2006, 27:1125-1142.
58. Camelliti P, Borg TK, Kohl P. Structural and functional characterisation of cardiac fibroblasts. Cardiovasc Res 2005, 65:40-51.
59. MacCannell KA, Bazzazi H, Chilton L, Shibukawa Y, Clark RB, Giles WR. A mathematical model of electrotonic interactions between ventricular myocytes and fibroblasts. Biophys J 2007, 92:4121-4132.
60. Sachse FB, Moreno AP, Abildskov JA. Electrophysiological modeling of fibroblasts and their interaction with myocytes. Ann Biomed Eng 2008, 36:41-56.
61. Jacquemet V, Henriquez CS. Loading effect of fibroblast-myocyte coupling on resting potential, impulse propagation, and repolarization: insights from a microstructure model. Am J Physiol Heart Circ Physiol 2008, 294:H2040-H2052.
62. Maleckar MM, Greenstein JL, Giles WR, Trayanova NA. Electrotonic coupling between human atrial myocytes and fibroblasts alters myocyte excitability and repolarization. Biophys J 2009, 97:2179-2190.
63. Ashihara T, Haraguchi R, Nakazawa K, Namba T, Ikeda T, Nakazawa Y, Ozawa T, Ito M, Horie M, Trayanova NA. The role of fibroblasts in complex fractionated electrograms during persistent/permanent atrial fibrillation: implications for electrogram-based catheter ablation. Circ Res 2012, 110:275-284.
64. McDowell KS, Arevalo HJ, Maleckar MM, Trayanova NA. Susceptibility to arrhythmia in the infarcted heart depends on myofibroblast density. Biophys J 2011, 101:1307-1315.
65. Goldberger JJ, Buxton AE, Cain M, Costantini O, Exner DV, Knight BP, Lloyd-Jones D, Kadish AH, Lee B, Moss A, et al. Risk stratification for arrhythmic sudden cardiac death: identifying the roadblocks. Circulation 2011, 123:2423-2430.
66. Narayan SM, Bayer JD, Lalani G, Trayanova NA. Action potential dynamics explain arrhythmic vulnerability in human heart failure: a clinical and modeling study implicating abnormal calcium handling. J Am Coll Cardiol 2008, 52:1782-1792.
67. Bayer JD, Narayan SM, Lalani GG, Trayanova NA. Rate-dependent action potential alternans in human heart failure implicates abnormal intracellular calcium handling. Heart Rhythm 2010, 7:1093-1101.
68. Doshi AN, Idriss SF. Effect of resistive barrier location on the relationship between T-wave alternans and cellular repolarization alternans: a 1-D modeling study. J Electrocardiol 2010, 43:566-571.
69. Zhao JT, Hill AP, Varghese A, Cooper AA, Swan H, Laitinen-Forsblom PJ, Rees MI, Skinner JR, Campbell TJ, Vandenberg JI. Not all hERG pore domain mutations have a severe phenotype: G584s has an inactivation gating defect with mild phenotype compared to G572S, which has a dominant negative trafficking defect and a severe phenotype. J Cardiovasc Electrophysiol 2009, 20:923-930.
70. Benson AP, Al-Owais M, Holden AV. Quantitative prediction of the arrhythmogenic effects of de novo hERG mutations in computational models of human ventricular tissues. Eur Biophys J 2011, 40:627-639.
71. Jons C, O-Uchi J, Moss AJ, Reumann M, Rice JJ, Goldenberg I, Zareba W, Wilde AA, Shimizu W, Kanters JK, et al. Use of mutant-specific ion channel characteristics for risk stratification of long QT syndrome patients. Sci Transl Med 2011, 3:76ra28.
72. O'Hara T, Rudy Y. Arrhythmia formation in subclinical ("silent") long QT syndrome requires multiple insults: quantitative mechanistic study using the KCNQ1 mutation Q357R as example. Heart Rhythm 2012, 9:275-282.
73. Chen X, Hu Y, Fetics BJ, Berger RD, Trayanova NA. Unstable QT interval dynamics precedes ventricular tachycardia onset in patients with acute myocardial infarction: a novel approach to detect instability in QT interval dynamics from clinical ECG. Circ Arrhythm Electrophysiol 2011, 4:858-866.
74. Bloomfield DM, Bigger JT, Steinman RC, Namerow PB, Parides MK, Curtis AB, Kaufman ES, Davidenko JM, Shinn TS, Fontaine JM. Microvolt T-wave alternans and the risk of death or sustained ventricular arrhythmias in patients with left ventricular dysfunction. J Am Coll Cardiol 2006, 47:456-463.
75. Hohnloser SH, Ikeda T, Cohen RJ. Evidence regarding clinical use of microvolt T-wave alternans. Heart Rhythm 2009, 6:S36-S44.
76. Narayan SM, Franz MR, Lalani G, Kim J, Sastry A. T-wave alternans, restitution of human action potential duration, and outcome. J Am Coll Cardiol 2007, 50:2385-2392.
77. Weiss JN, Nivala M, Garfinkel A, Qu Z. Alternans and arrhythmias: from cell to heart. Circ Res 2011, 108:98-112.
78. Merchant FM, Armoundas AA. Role of substrate and triggers in the genesis of cardiac alternans, from the myocyte to the whole heart: implications for therapy. Circulation 2012, 125:539-549.
79. Chen X, Trayanova NA. A novel methodology for assessing the bounded-input bounded-output instability in QT interval dynamics: application to clinical ECG with ventricular tachycardia. IEEE Trans Biomed Eng 2012, 59:2111-2117.
80. Chen X, Tereshchenko LG, Berger RD, Trayanova NA. Arrhythmia risk stratification based on QT interval instability: an intracardiac electrocardiogram study. Heart Rhythm 2013, 10:875-880.
81. Entcheva E. Cardiac optogenetics. Am J Physiol Heart Circ Physiol 2013, 304:H1179-H1191.
82. Abilez OJ, Wong J, Prakash R, Deisseroth K, Zarins CK, Kuhl E. Multiscale computational models for optogenetic control of cardiac function. Biophys J 2011, 101:1326-1334.
83. Wong J, Abilez OJ, Kuhl E. Computational optogenetics: a novel continuum framework for the photoelectrochemistry of living systems. J Mech Phys Solids 2012, 60:1158-1178.
84. Boyle PM, Williams JC, Ambrosi CM, Entcheva E, Trayanova NA. A comprehensive multiscale framework for simulating optogenetics in the heart. Nat Commun 2013, 4:2370.
85. Vadakkumpadan F, Arevalo H, Prassl AJ, Chen J, Kickinger F, Kohl P, Plank G, Trayanova N. Image-based models of cardiac structure in health and disease. Wiley Interdiscip Rev Syst Biol Med 2010, 2:489-506.
86. Bishop MJ, Plank G, Burton RA, Schneider JE, Gavaghan DJ, Grau V, Kohl P. Development of an anatomically detailed MRI-derived rabbit ventricular model and assessment of its impact on simulations of electrophysiological function. Am J Physiol Heart Circ Physiol 2010, 298:H699-H718.
87. Stevenson WG, Brugada P, Waldecker B, Zehender M, Wellens HJ. Clinical, angiographic, and electrophysiologic findings in patients with aborted sudden death as compared with patients with sustained ventricular tachycardia after myocardial infarction. Circulation 1985, 71:1146-1152.
88. Pop M, Sermesant M, Mansi T, Crystal E, Ghate S, Peyrat J, Lashevsky I, Beiping Q, McVeigh E, Ayache N, et al. Correspondence between simple 3-D MRI-based computer models and in-vivo EP measurements in swine with chronic infarctions. IEEE Trans Biomed Eng 2011, 58:3483-3486.
89. Arevalo H, Plank G, Helm P, Halperin H, Trayanova N. Tachycardia in post-infarction hearts: insights from 3D image-based ventricular models. PLoS One 2013, 8:e68872.
90. Ashikaga H, Arevalo H, Vadakkumpadan F, Blake RC III, Bayer JD, Nazarian S, Muz Zviman M, Tandri H, Berger RD, Calkins H, et al. Feasibility of image-based simulation to estimate ablation target in human ventricular arrhythmia. Heart Rhythm 2013, 10:1109-1116.
91. Zhu X, Wei D, Okazaki O. Computer simulation of clinical electrophysiological study. Pacing Clin Electrophysiol 2012, 35:718-729.
92. Ng J, Jacobson JT, Ng JK, Gordon D, Lee DC, Carr JC, Goldberger JJ. Virtual electrophysiological study in a 3-dimensional cardiac magnetic resonance imaging model of porcine myocardial infarction. J Am Coll Cardiol 2012, 60:423-430.
93. Relan J, Chinchapatnam P, Sermesant M, Rhode K, Ginks M, Delingette H, Rinaldi CA, Razavi R, Ayache N. Coupled personalization of cardiac electrophysiology models for prediction of ischaemic ventricular tachycardia. Interface Focus 2011, 1:396-407.
94. Bayer JD, Blake RC, Plank G, Trayanova NA. A novel rule-based algorithm for assigning myocardial fiber orientation to computational heart models. Ann Biomed Eng 2012, 40:2243-2254.
95. Vadakkumpadan F, Arevalo H, Ceritoglu C, Miller M, Trayanova N. Image-based estimation of ventricular fiber orientations for personalized modeling of cardiac electrophysiology. IEEE Trans Med Imaging 2012, 31:1051-1060.
96. Anderson C, Trayanova NA. Success and failure of biphasic shocks: results of bidomain simulations. Math Biosci 2001, 174:91-109.
97. Arevalo H, Rodriguez B, Trayanova N. Arrhythmogenesis in the heart: multiscale modeling of the effects of defibrillation shocks and the role of electrophysiological heterogeneity. Chaos 2007, 17:015103.
98. Ashihara T, Trayanova NA. Asymmetry in membrane responses to electric shocks: insights from bidomain simulations. Biophys J 2004, 87:2271-2282.
99. Bourn DW, Gray RA, Trayanova NA. Characterization of the relationship between preshock state and virtual electrode polarization-induced propagated graded responses resulting in arrhythmia induction. Heart Rhythm 2006, 3:583-595.
100. Entcheva E, Trayanova NA, Claydon FJ. Patterns of and mechanisms for shock-induced polarization in the heart: a bidomain analysis. IEEE Trans Biomed Eng 1999, 46:260-270.
101. Lindblom AE, Roth BJ, Trayanova NA. Role of virtual electrodes in arrhythmogenesis: pinwheel experiment revisited. J Cardiovasc Electrophysiol 2000, 11:274-285.
102. Rodriguez B, Eason JC, Trayanova N. Differences between left and right ventricular anatomy determine the types of reentrant circuits induced by an external electric shock. A rabbit heart simulation study. Prog Biophys Mol Biol 2006, 90:399-413.
103. Rodriguez B, Li L, Eason JC, Efimov IR, Trayanova NA. Differences between left and right ventricular chamber geometry affect cardiac vulnerability to electric shocks. Circ Res 2005, 97:168-175.
104. Trayanova N, Skouibine K, Moore P. Virtual electrode effects in defibrillation. Prog Biophys Mol Biol 1998, 69:387-403.
105. Trayanova N, Constantino J, Ashihara T, Plank G. Modeling defibrillation of the heart: approaches and insights. IEEE Rev Biomed Eng 2011, 4:89-102.
106. Bishop MJ, Gavaghan DJ, Trayanova NA, Rodriguez B. Photon scattering effects in optical mapping of propagation and arrhythmogenesis in the heart. J Electrocardiol 2007, 40:S75-S80.
107. Bishop MJ, Rodriguez B, Qu F, Efimov IR, Gavaghan DJ, Trayanova NA. The role of photon scattering in optical signal distortion during arrhythmia and defibrillation. Biophys J 2007, 93:3714-3726.
108. Bishop MJ, Rodriguez B, Eason J, Whiteley JP, Trayanova N, Gavaghan DJ. Synthesis of voltage-sensitive optical signals: application to panoramic optical mapping. Biophys J 2006, 90:2938-2945.
109. Ashihara T, Constantino J, Trayanova NA. Tunnel propagation of postshock activations as a hypothesis for fibrillation induction and isoelectric window. Circ Res 2008, 102:737-745.
110. Constantino J, Long Y, Ashihara T, Trayanova NA. Tunnel propagation following defibrillation with ICD shocks: hidden postshock activations in the left ventricular wall underlie isoelectric window. Heart Rhythm 2010, 7:953-961.
111. Bishop MJ, Boyle PM, Plank G, Welsh DG, Vigmond EJ. Modeling the role of the coronary vasculature during external field stimulation. IEEE Trans Biomed Eng 2010, 57:2335-2345.
112. Bishop MJ, Plank G, Vigmond E. Investigating the role of the coronary vasculature in the mechanisms of defibrillation. Circ Arrhythm Electrophysiol 2012, 5:210-219.
113. Rantner LJ, Arevalo HJ, Constantino JL, Efimov IR, Plank G, Trayanova NA. Three-dimensional mechanisms of increased vulnerability to electric shocks in myocardial infarction: altered virtual electrode polarizations and conduction delay in the peri-infarct zone. J Physiol 2012, 590:4537-4551.
114. Rodriguez B, Tice BM, Eason JC, Aguel F, Trayanova N. Cardiac vulnerability to electric shocks during phase 1A of acute global ischemia. Heart Rhythm 2004, 1:695-703.
115. Rodriguez B, Tice BM, Eason JC, Aguel F, Ferrero JM Jr, Trayanova N. Effect of acute global ischemia on the upper limit of vulnerability: a simulation study. Am J Physiol Heart Circ Physiol 2004, 286:H2078-H2088.
116. Trayanova N, Li W, Eason J, Kohl P. Effect of stretch-activated channels on defibrillation efficacy. Heart Rhythm 2004, 1:67-77.
117. Li W, Gurev V, McCulloch AD, Trayanova NA. The role of mechanoelectric feedback in vulnerability to electric shock. Prog Biophys Mol Biol 2008, 97:461-478.
118. Trayanova NA, Gurev V, Constantino J, Hu Y. Mathematical models of ventricular mechano-electric coupling and arrhythmia. In: Kohl P, Sachs F, Franz MR, Kohl P, eds. Cardiac Mechano-Electric Coupling and Arrhythmias. 2nd ed. Oxford, New York: Oxford University Press; 2011, 258-268.
119. Tandri H, Weinberg SH, Chang KC, Zhu R, Trayanova NA, Tung L, Berger RD. Reversible cardiac conduction block and defibrillation with high-frequency electric field. Sci Transl Med 2011, 3:102ra196.
120. Meunier JM, Trayanova NA, Gray RA. Sinusoidal stimulation of myocardial tissue: effects on single cells. J Cardiovasc Electrophysiol 1999, 10:1619-1630.
121. Meunier JM, Trayanova NA, Gray RA. Entrainment by an extracellular AC stimulus in a computational model of cardiac tissue. J Cardiovasc Electrophysiol 2001, 12:1176-1184.
122. Meunier JM, Eason JC, Trayanova NA. Termination of reentry by a long-lasting AC shock in a slice of canine heart: a computational study. J Cardiovasc Electrophysiol 2002, 13:1253-1261.
123. Weinberg SH, Chang KC, Zhu R, Tandri H, Berger RD, Trayanova NA, Tung L. Defibrillation success with high frequency electric fields is related to degree and location of conduction block. Heart Rhythm 2013, 10:740-748.
124. Luther S, Fenton FH, Kornreich BG, Squires A, Bittihn P, Hornung D, Zabel M, Flanders J, Gladuli A, Campoy L, et al. Low-energy control of electrical turbulence in the heart. Nature 2011, 475:235-239.
125. Li W, Janardhan AH, Fedorov VV, Sha Q, Schuessler RB, Efimov IR. Low-energy multistage atrial defibrillation therapy terminates atrial fibrillation with less energy than a single shock. Circ Arrhythm Electrophysiol 2011, 4:917-925.
126. Li W, Ripplinger CM, Lou Q, Efimov IR. Multiple monophasic shocks improve electrotherapy of ventricular tachycardia in a rabbit model of chronic infarction. Heart Rhythm 2009, 6:1020-1027.
127. Rantner LJ, Tice BM, Trayanova NA. Terminating ventricular tachyarrhythmias using far-field low-voltage stimuli: mechanisms and delivery protocols. Heart Rhythm 2013, 10:1209-1217.
128. Rantner LJ, Vadakkumpadan F, Spevak PJ, Crosson JE, Trayanova NA. Placement of implantable cardioverter-defibrillators in paediatric and congenital heart defect patients: a pipeline for model generation and simulation prediction of optimal configurations. J Physiol 2013, 591:4321-4334.