Abstract
Post-infarction ventricular tachycardia (VT) is an important clinical problem that is often caused by a re-entrant circuit located in the infarct border zone (BZ). The main changes in the BZ are in action potential duration (APD) and conduction velocity (CV), which introduce high repolarization time gradients (RTGs) and can lead to re-entry. Computational models can help in VT-risk analysis. However, the complexity of these models and the representation of the electrophysiological properties of the BZ still require investigation. In this study we conduct a sensitivity analysis in which we apply changes in APD and CV in a BZ using the detailed biophysical Ten Tusscher (TT2) model and the phenomenological modified Mitchel-Schaeffer (mMS) ionic model. First, the effect of spatial discretization on the CV is compared for both models. The TT2 model showed much larger mesh dependency for the computed CV than the mMS model. Next, we propose a tuning method to match the mMS AP shape to the TT2 AP shape. We then compare APD restitution properties. The tuned mMS showed similar APD restitution properties for large diastolic intervals (DI), but started to deviate when decreasing the DI. Finally, for both the TT2 and tuned mMS model we found that RTG is more sensitive to variation in APD than to variation in CV. When varying the APD, differences between both models were more pronounced for short than for large APDs.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Cluitmans, M., et al.: Noninvasive detection of spatiotemporal activation-repolarization interactions that prime idiopathic ventricular fibrillation. Sci. Transl. Med. 13(620), eabi9317 (2021)
Connolly, A., Bishop, M.: Computational representations of myocardial infarct scars and implications for arrhythmogenesis. Clin. Med. Insights: Cardiol. 10, CMC-S39708 (2016)
Corrado, C., Niederer, S.: A two-variable model robust to pacemaker behaviour for the dynamics of the cardiac action potential. Math. Biosci. 281, 46–54 (2016)
Costa, C., Hoetzl, E., Rocha, B., Prassl, A., Plank, G.: Automatic parameterization strategy for cardiac electrophysiology simulations. In: Computing in Cardiology 2013, pp. 373–376. IEEE (2013)
Dangman, K., Danilo Jr., P., Hordof, A., Mary-Rabine, L., Reder, R., Rosen, M.: Electrophysiologic characteristics of human ventricular and purkinje fibers. Circulation 65(2), 362–368 (1982)
Deng, D., Prakosa, A., Shade, J., Nikolov, P., Trayanova, N.: Sensitivity of ablation targets prediction to electrophysiological parameter variability in image-based computational models of ventricular tachycardia in post-infarction patients. Front. Physiol. 10, 628 (2019)
Hayashi, M., et al.: Ventricular repolarization restitution properties in patients exhibiting type 1 Brugada electrocardiogram with and without inducible ventricular fibrillation. J. Am. Coll. Cardiol. 51(12), 1162–1168 (2008)
Jing, L., Agarwal, A., Chourasia, S., Patwardhan, A.: Phase relationship between alternans of early and late phases of ventricular action potentials. Front. Physiol. 3, 190 (2012)
Lopez-Perez, A., Sebastian, R., Izquierdo, M., Ruiz, R., Bishop, M., Ferrero, J.: Personalized cardiac computational models: from clinical data to simulation of infarct-related ventricular tachycardia. Front. Physiol. 10, 580 (2019)
Mendonca Costa, C., Plank, G., Rinaldi, C., Niederer, S., Bishop, M.: Modeling the electrophysiological properties of the infarct border zone. Front. Physiol. 9, 356 (2018)
Prakosa, A., et al.: Personalized virtual-heart technology for guiding the ablation of infarct-related ventricular tachycardia. Nat. Biomed. Eng. 2(10), 732–740 (2018)
Prassl, A., et al.: Automatically generated, anatomically accurate meshes for cardiac electrophysiology problems. IEEE Trans. Biomed. Eng. 56(5), 1318–1330 (2009)
Quarteroni, A., Lassila, T., Rossi, S., Ruiz-Baier, R.: Integrated heart-coupling multiscale and multiphysics models for the simulation of the cardiac function. Comput. Methods Appl. Mech. Eng. 314, 345–407 (2017)
Ravens, U., Wettwer, E.: Electrophysiological aspects of changes in heart rate. Basic Res. Cardiol. 93(1), s060–s065 (1998)
Relan, J., et al.: Coupled personalization of cardiac electrophysiology models for prediction of ischaemic ventricular tachycardia. Interface Focus 1(3), 396–407 (2011)
Relan, J., Sermesant, M., Delingette, H., Pop, M., Wright, G., Ayache, N.: Quantitative comparison of two cardiac electrophysiology models using personalisation to optical and MR data. In: 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp. 1027–1030. IEEE (2009)
Seemann, G., Carillo, P., Weiss, D.L., Krueger, M.W., Dössel, O., Scholz, E.P.: Investigating arrhythmogenic effects of the hERG mutation N588K in virtual human atria. In: Ayache, N., Delingette, H., Sermesant, M. (eds.) FIMH 2009. LNCS, vol. 5528, pp. 144–153. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-01932-6_16
Ten Tusscher, K., Panfilov, A.: Alternans and spiral breakup in a human ventricular tissue model. Am. J. Physiol.-Heart Circulatory Physiol. 291(3), H1088–H1100 (2006)
Tran, D., Yang, M., Weiss, J., Garfinkel, A., Qu, Z.: Vulnerability to re-entry in simulated two-dimensional cardiac tissue: effects of electrical restitution and stimulation sequence. Chaos Interdisc. J. Nonlinear Sci. 17(4), 043115 (2007)
Vigmond, E., Hughes, M., Plank, G., Leon, L.: Computational tools for modeling electrical activity in cardiac tissue. J. Electrocardiol. 36, 69–74 (2003)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Ghebryal, J., Kruithof, E., Cluitmans, M.J.M., Bovendeerd, P.H.M. (2023). Sensitivity of Repolarization Gradients to Infarct Borderzone Properties Assessed with the Ten Tusscher and Modified Mitchell-Schaeffer Model. In: Bernard, O., Clarysse, P., Duchateau, N., Ohayon, J., Viallon, M. (eds) Functional Imaging and Modeling of the Heart. FIMH 2023. Lecture Notes in Computer Science, vol 13958. Springer, Cham. https://doi.org/10.1007/978-3-031-35302-4_15
Download citation
DOI: https://doi.org/10.1007/978-3-031-35302-4_15
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-35301-7
Online ISBN: 978-3-031-35302-4
eBook Packages: Computer ScienceComputer Science (R0)