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Items: 1 to 50 of 286

1.

Accurate Conduction Velocity Maps and their Association with Scar Distribution on Magnetic Resonance Imaging in Patients with Post-Infarction Ventricular Tachycardias.

Aronis KN, Ali RL, Prakosa A, Ashikaga H, Berger RD, Hakim JB, Liang J, Tandri H, Teng F, Chrispin J, Trayanova NA.

Circ Arrhythm Electrophysiol. 2020 Mar 19. doi: 10.1161/CIRCEP.119.007792. [Epub ahead of print]

PMID:
32191131
2.

Substrate Spatial Complexity Analysis for the Prediction of Ventricular Arrhythmias in Patients with Ischemic Cardiomyopathy.

Okada DR, Miller J, Chrispin J, Prakosa A, Trayanova N, Jones S, Maggioni M, Wu KC.

Circ Arrhythm Electrophysiol. 2020 Mar 18. doi: 10.1161/CIRCEP.119.007975. [Epub ahead of print]

PMID:
32188287
3.

Embedding high-dimensional Bayesian optimization via generative modeling: Parameter personalization of cardiac electrophysiological models.

Dhamala J, Bajracharya P, Arevalo HJ, Sapp JL, Horácek BM, Wu KC, Trayanova NA, Wang L.

Med Image Anal. 2020 Feb 27;62:101670. doi: 10.1016/j.media.2020.101670. [Epub ahead of print]

PMID:
32171168
4.

Leave the Light On: Chronic Optogenetic Tachypacing of Human Engineered Cardiac Tissue Constructs.

Boyle PM, Trayanova NA.

Cardiovasc Res. 2020 Feb 7. pii: cvaa029. doi: 10.1093/cvr/cvaa029. [Epub ahead of print] No abstract available.

PMID:
32031599
5.

How personalized heart modeling can help treatment of lethal arrhythmias: A focus on ventricular tachycardia ablation strategies in post-infarction patients.

Trayanova NA, Doshi AN, Prakosa A.

Wiley Interdiscip Rev Syst Biol Med. 2020 Jan 9:e1477. doi: 10.1002/wsbm.1477. [Epub ahead of print] Review.

PMID:
31917524
6.

Mechano-electric and mechano-chemo-transduction in cardiomyocytes.

Izu LT, Kohl P, Boyden PA, Miura M, Banyasz T, Chiamvimonvat N, Trayanova N, Bers DM, Chen-Izu Y.

J Physiol. 2020 Apr;598(7):1285-1305. doi: 10.1113/JP276494. Epub 2020 Feb 3.

PMID:
31789427
7.

Epicardial Conduction Speed, Electrogram Abnormality, and Computed Tomography Attenuation Associations in Arrhythmogenic Right Ventricular Cardiomyopathy.

Ustunkaya T, Desjardins B, Wedan R, Chahal CAA, Zimmerman SL, Saju N, Zahid S, Sharma A, Han Y, Trayanova N, Marchlinski FE, Calkins H, Tandri H, Nazarian S.

JACC Clin Electrophysiol. 2019 Oct;5(10):1158-1167. doi: 10.1016/j.jacep.2019.06.017. Epub 2019 Aug 28.

PMID:
31648740
8.

Ventricular arrhythmia risk prediction in repaired Tetralogy of Fallot using personalized computational cardiac models.

Shade JK, Cartoski MJ, Nikolov P, Prakosa A, Doshi A, Binka E, Olivieri L, Boyle PM, Spevak PJ, Trayanova NA.

Heart Rhythm. 2020 Mar;17(3):408-414. doi: 10.1016/j.hrthm.2019.10.002. Epub 2019 Oct 4.

PMID:
31589989
9.

4D cardiac electromechanical activation imaging.

Grondin J, Wang D, Grubb CS, Trayanova N, Konofagou EE.

Comput Biol Med. 2019 Oct;113:103382. doi: 10.1016/j.compbiomed.2019.103382. Epub 2019 Aug 6.

PMID:
31476587
10.

Understanding AF Mechanisms Through Computational Modelling and Simulations.

Aronis KN, Ali RL, Liang JA, Zhou S, Trayanova NA.

Arrhythm Electrophysiol Rev. 2019 Jul;8(3):210-219. doi: 10.15420/aer.2019.28.2. Review.

11.

Characterizing Conduction Channels in Postinfarction Patients Using a Personalized Virtual Heart.

Deng D, Prakosa A, Shade J, Nikolov P, Trayanova NA.

Biophys J. 2019 Dec 17;117(12):2287-2294. doi: 10.1016/j.bpj.2019.07.024. Epub 2019 Jul 22.

PMID:
31447108
12.

Computationally guided personalized targeted ablation of persistent atrial fibrillation.

Boyle PM, Zghaib T, Zahid S, Ali RL, Deng D, Franceschi WH, Hakim JB, Murphy MJ, Prakosa A, Zimmerman SL, Ashikaga H, Marine JE, Kolandaivelu A, Nazarian S, Spragg DD, Calkins H, Trayanova NA.

Nat Biomed Eng. 2019 Nov;3(11):870-879. doi: 10.1038/s41551-019-0437-9. Epub 2019 Aug 19.

13.

A comprehensive, multiscale framework for evaluation of arrhythmias arising from cell therapy in the whole post-myocardial infarcted heart.

Yu JK, Franceschi W, Huang Q, Pashakhanloo F, Boyle PM, Trayanova NA.

Sci Rep. 2019 Jun 25;9(1):9238. doi: 10.1038/s41598-019-45684-0.

14.

Sensitivity of Ablation Targets Prediction to Electrophysiological Parameter Variability in Image-Based Computational Models of Ventricular Tachycardia in Post-infarction Patients.

Deng D, Prakosa A, Shade J, Nikolov P, Trayanova NA.

Front Physiol. 2019 May 24;10:628. doi: 10.3389/fphys.2019.00628. eCollection 2019.

15.

Universal atrial coordinates applied to visualisation, registration and construction of patient specific meshes.

Roney CH, Pashaei A, Meo M, Dubois R, Boyle PM, Trayanova NA, Cochet H, Niederer SA, Vigmond EJ.

Med Image Anal. 2019 Jul;55:65-75. doi: 10.1016/j.media.2019.04.004. Epub 2019 Apr 17.

16.

Arrhythmogenic propensity of the fibrotic substrate after atrial fibrillation ablation: a longitudinal study using magnetic resonance imaging-based atrial models.

Ali RL, Hakim JB, Boyle PM, Zahid S, Sivasambu B, Marine JE, Calkins H, Trayanova NA, Spragg DD.

Cardiovasc Res. 2019 Oct 1;115(12):1757-1765. doi: 10.1093/cvr/cvz083.

PMID:
30977811
17.

Association of regional myocardial conduction velocity with the distribution of hypoattenuation on contrast-enhanced perfusion computed tomography in patients with postinfarct ventricular tachycardia.

Ustunkaya T, Desjardins B, Liu B, Zahid S, Park J, Saju N, Trayanova N, Zimmerman SL, Marchlinski FE, Nazarian S.

Heart Rhythm. 2019 Apr;16(4):588-594. doi: 10.1016/j.hrthm.2018.10.029. Epub 2018 Oct 26.

18.

Personalized virtual-heart technology for guiding the ablation of infarct-related ventricular tachycardia.

Prakosa A, Arevalo HJ, Deng D, Boyle PM, Nikolov PP, Ashikaga H, Blauer JJE, Ghafoori E, Park CJ, Blake RC 3rd, Han FT, MacLeod RS, Halperin HR, Callans DJ, Ranjan R, Chrispin J, Nazarian S, Trayanova NA.

Nat Biomed Eng. 2018 Oct;2(10):732-740. doi: 10.1038/s41551-018-0282-2. Epub 2018 Sep 3.

19.

Computational Identification of Ventricular Arrhythmia Risk in Pediatric Myocarditis.

Cartoski MJ, Nikolov PP, Prakosa A, Boyle PM, Spevak PJ, Trayanova NA.

Pediatr Cardiol. 2019 Apr;40(4):857-864. doi: 10.1007/s00246-019-02082-7. Epub 2019 Mar 6.

20.

The role of personalized atrial modeling in understanding atrial fibrillation mechanisms and improving treatment.

Aronis KN, Ali R, Trayanova NA.

Int J Cardiol. 2019 Jul 15;287:139-147. doi: 10.1016/j.ijcard.2019.01.096. Epub 2019 Jan 31. Review.

PMID:
30755334
21.

New insights on the cardiac safety factor: Unraveling the relationship between conduction velocity and robustness of propagation.

Boyle PM, Franceschi WH, Constantin M, Hawks C, Desplantez T, Trayanova NA, Vigmond EJ.

J Mol Cell Cardiol. 2019 Mar;128:117-128. doi: 10.1016/j.yjmcc.2019.01.010. Epub 2019 Jan 22.

22.

Initiation of a High-Frequency Jet Ventilation Strategy for Catheter Ablation for Atrial Fibrillation: Safety and Outcomes Data.

Sivasambu B, Hakim JB, Barodka V, Chrispin J, Berger RD, Ashikaga H, Ciuffo L, Tao S, Calkins H, Marine JE, Trayanova N, Spragg DD.

JACC Clin Electrophysiol. 2018 Dec;4(12):1519-1525. doi: 10.1016/j.jacep.2018.08.016. Epub 2018 Nov 1.

23.

From genetics to smart watches: developments in precision cardiology.

Trayanova N.

Nat Rev Cardiol. 2019 Feb;16(2):72-73. doi: 10.1038/s41569-018-0149-y. Review. No abstract available.

24.

Degradation of T-Tubular Microdomains and Altered cAMP Compartmentation Lead to Emergence of Arrhythmogenic Triggers in Heart Failure Myocytes: An in silico Study.

Loucks AD, O'Hara T, Trayanova NA.

Front Physiol. 2018 Dec 4;9:1737. doi: 10.3389/fphys.2018.01737. eCollection 2018.

25.

Arrhythmia dynamics in computational models of the atria following virtual ablation of re-entrant drivers.

Hakim JB, Murphy MJ, Trayanova NA, Boyle PM.

Europace. 2018 Nov 1;20(suppl_3):iii45-iii54. doi: 10.1093/europace/euy234.

26.

Virtual electrophysiological study as a tool for evaluating efficacy of MRI techniques in predicting adverse arrhythmic events in ischemic patients.

Ukwatta E, Nikolov P, Zabihollahy F, Trayanova NA, Wright GA.

Phys Med Biol. 2018 Nov 9;63(22):225008. doi: 10.1088/1361-6560/aae8b2.

27.

Computational models in cardiology.

Niederer SA, Lumens J, Trayanova NA.

Nat Rev Cardiol. 2019 Feb;16(2):100-111. doi: 10.1038/s41569-018-0104-y. Review.

28.

Optimal contrast-enhanced MRI image thresholding for accurate prediction of ventricular tachycardia using ex-vivo high resolution models.

Deng D, Nikolov P, Arevalo HJ, Trayanova NA.

Comput Biol Med. 2018 Nov 1;102:426-432. doi: 10.1016/j.compbiomed.2018.09.031. Epub 2018 Oct 3.

29.

The Fibrotic Substrate in Persistent Atrial Fibrillation Patients: Comparison Between Predictions From Computational Modeling and Measurements From Focal Impulse and Rotor Mapping.

Boyle PM, Hakim JB, Zahid S, Franceschi WH, Murphy MJ, Prakosa A, Aronis KN, Zghaib T, Balouch M, Ipek EG, Chrispin J, Berger RD, Ashikaga H, Marine JE, Calkins H, Nazarian S, Spragg DD, Trayanova NA.

Front Physiol. 2018 Aug 29;9:1151. doi: 10.3389/fphys.2018.01151. eCollection 2018.

30.

Tropomyosin dynamics during cardiac muscle contraction as governed by a multi-well energy landscape.

Aboelkassem Y, Trayanova N.

Prog Biophys Mol Biol. 2019 Jul;144:102-115. doi: 10.1016/j.pbiomolbio.2018.07.015. Epub 2018 Aug 23.

PMID:
30145015
31.

Increased thin filament activation enhances alternans in human chronic atrial fibrillation.

Zile MA, Trayanova NA.

Am J Physiol Heart Circ Physiol. 2018 Nov 1;315(5):H1453-H1462. doi: 10.1152/ajpheart.00658.2017. Epub 2018 Aug 24.

32.

Role of 3-Dimensional Architecture of Scar and Surviving Tissue in Ventricular Tachycardia: Insights From High-Resolution Ex Vivo Porcine Models.

Pashakhanloo F, Herzka DA, Halperin H, McVeigh ER, Trayanova NA.

Circ Arrhythm Electrophysiol. 2018 Jun;11(6):e006131. doi: 10.1161/CIRCEP.117.006131.

33.

Field of view of mapping catheters quantified by electrogram associations with radius of myocardial attenuation on contrast-enhanced cardiac computed tomography.

Misra S, Zahid S, Prakosa A, Saju N, Tandri H, Berger RD, Marine JE, Calkins H, Zipunnikov V, Trayanova N, Zimmerman SL, Nazarian S.

Heart Rhythm. 2018 Nov;15(11):1617-1625. doi: 10.1016/j.hrthm.2018.05.031. Epub 2018 Jun 2.

PMID:
29870783
34.

Quantifying the uncertainty in model parameters using Gaussian process-based Markov chain Monte Carlo in cardiac electrophysiology.

Dhamala J, Arevalo HJ, Sapp J, Horácek BM, Wu KC, Trayanova NA, Wang L.

Med Image Anal. 2018 Aug;48:43-57. doi: 10.1016/j.media.2018.05.007. Epub 2018 May 17.

35.

Cardiac Optogenetics: 2018.

Boyle PM, Karathanos TV, Trayanova NA.

JACC Clin Electrophysiol. 2018 Feb;4(2):155-167. doi: 10.1016/j.jacep.2017.12.006. Epub 2018 Feb 1. Review.

36.

Comparing Reentrant Drivers Predicted by Image-Based Computational Modeling and Mapped by Electrocardiographic Imaging in Persistent Atrial Fibrillation.

Boyle PM, Hakim JB, Zahid S, Franceschi WH, Murphy MJ, Vigmond EJ, Dubois R, Haïssaguerre M, Hocini M, Jaïs P, Trayanova NA, Cochet H.

Front Physiol. 2018 Apr 19;9:414. doi: 10.3389/fphys.2018.00414. eCollection 2018.

37.

Personalized Imaging and Modeling Strategies for Arrhythmia Prevention and Therapy.

Trayanova NA, Boyle PM, Nikolov PP.

Curr Opin Biomed Eng. 2018 Mar;5:21-28. doi: 10.1016/j.cobme.2017.11.007.

38.

Effect of KCNQ1 G229D mutation on cardiac pumping efficacy and reentrant dynamics in ventricles: Computational study.

Yuniarti AR, Setianto F, Marcellinus A, Hwang HJ, Choi SW, Trayanova N, Lim KM.

Int J Numer Method Biomed Eng. 2018 Jun;34(6):e2970. doi: 10.1002/cnm.2970. Epub 2018 Apr 11.

39.

Relationship Between Fibrosis Detected on Late Gadolinium-Enhanced Cardiac Magnetic Resonance and Re-Entrant Activity Assessed With Electrocardiographic Imaging in Human Persistent Atrial Fibrillation.

Cochet H, Dubois R, Yamashita S, Al Jefairi N, Berte B, Sellal JM, Hooks D, Frontera A, Amraoui S, Zemoura A, Denis A, Derval N, Sacher F, Corneloup O, Latrabe V, Clément-Guinaudeau S, Relan J, Zahid S, Boyle PM, Trayanova NA, Bernus O, Montaudon M, Laurent F, Hocini M, Haïssaguerre M, Jaïs P.

JACC Clin Electrophysiol. 2018 Jan;4(1):17-29. doi: 10.1016/j.jacep.2017.07.019. Epub 2017 Nov 6.

40.

Termination of re-entrant atrial tachycardia via optogenetic stimulation with optimized spatial targeting: insights from computational models.

Boyle PM, Murphy MJ, Karathanos TV, Zahid S, Blake RC 3rd, Trayanova NA.

J Physiol. 2018 Jan 15;596(2):181-196. doi: 10.1113/JP275264. Epub 2017 Dec 28.

41.

β-adrenergic stimulation augments transmural dispersion of repolarization via modulation of delayed rectifier currents IKs and IKr in the human ventricle.

Kang C, Badiceanu A, Brennan JA, Gloschat C, Qiao Y, Trayanova NA, Efimov IR.

Sci Rep. 2017 Nov 21;7(1):15922. doi: 10.1038/s41598-017-16218-3.

42.

Influence of LVAD function on mechanical unloading and electromechanical delay: a simulation study.

Heikhmakhtiar AK, Ryu AJ, Shim EB, Song KS, Trayanova NA, Lim KM.

Med Biol Eng Comput. 2018 May;56(5):911-921. doi: 10.1007/s11517-017-1730-y. Epub 2017 Nov 3.

43.

Computational analysis of the effect of mitral and aortic regurgitation on the function of ventricular assist devices using 3D cardiac electromechanical model.

Kim YS, Yuniarti AR, Song KS, Trayanova NA, Shim EB, Lim KM.

Med Biol Eng Comput. 2018 May;56(5):889-898. doi: 10.1007/s11517-017-1727-6. Epub 2017 Oct 28.

44.

Computational prediction of the effects of the intra-aortic balloon pump on heart failure with valvular regurgitation using a 3D cardiac electromechanical model.

Kim CH, Song KS, Trayanova NA, Lim KM.

Med Biol Eng Comput. 2018 May;56(5):853-863. doi: 10.1007/s11517-017-1731-x. Epub 2017 Oct 23.

45.

Sensitivity of reentrant driver localization to electrophysiological parameter variability in image-based computational models of persistent atrial fibrillation sustained by a fibrotic substrate.

Deng D, Murphy MJ, Hakim JB, Franceschi WH, Zahid S, Pashakhanloo F, Trayanova NA, Boyle PM.

Chaos. 2017 Sep;27(9):093932. doi: 10.1063/1.5003340.

46.

Plakophilin-2 is required for transcription of genes that control calcium cycling and cardiac rhythm.

Cerrone M, Montnach J, Lin X, Zhao YT, Zhang M, Agullo-Pascual E, Leo-Macias A, Alvarado FJ, Dolgalev I, Karathanos TV, Malkani K, Van Opbergen CJM, van Bavel JJA, Yang HQ, Vasquez C, Tester D, Fowler S, Liang F, Rothenberg E, Heguy A, Morley GE, Coetzee WA, Trayanova NA, Ackerman MJ, van Veen TAB, Valdivia HH, Delmar M.

Nat Commun. 2017 Jul 24;8(1):106. doi: 10.1038/s41467-017-00127-0.

47.

Imaging-Based Simulations for Predicting Sudden Death and Guiding Ventricular Tachycardia Ablation.

Trayanova NA, Pashakhanloo F, Wu KC, Halperin HR.

Circ Arrhythm Electrophysiol. 2017 Jul;10(7). pii: e004743. doi: 10.1161/CIRCEP.117.004743. Review. No abstract available.

48.

Myofilament protein dynamics modulate EAD formation in human hypertrophic cardiomyopathy.

Zile MA, Trayanova NA.

Prog Biophys Mol Biol. 2017 Nov;130(Pt B):418-428. doi: 10.1016/j.pbiomolbio.2017.06.015. Epub 2017 Jun 22.

49.

Spatially Adaptive Multi-Scale Optimization for Local Parameter Estimation in Cardiac Electrophysiology.

Dhamala J, Arevalo HJ, Sapp J, Horacek M, Wu KC, Trayanova NA, Wang L.

IEEE Trans Med Imaging. 2017 Sep;36(9):1966-1978. doi: 10.1109/TMI.2017.2697820. Epub 2017 Apr 25.

50.

Using personalized computer models to custom-tailor ablation procedures for atrial fibrillation patients: are we there yet?

Boyle PM, Zahid S, Trayanova NA.

Expert Rev Cardiovasc Ther. 2017 May;15(5):339-341. doi: 10.1080/14779072.2017.1317593. Epub 2017 Apr 17. No abstract available.

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