On the Role of Ionic Modeling on the Signature of Cardiac Arrhythmias for Healthy and Diseased Hearts

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dc.contributor.authorRamírez, William A
dc.contributor.authorGizzi, Alessio
dc.contributor.authorSack, Kevin L
dc.contributor.authorFilippi, Simonetta
dc.contributor.authorGuccione, Julius M
dc.contributor.authorHurtado, Daniel E
dc.date.accessioned2021-10-13T18:36:57Z
dc.date.available2021-10-13T18:36:57Z
dc.date.issued2020-12-18
dc.date.updated2020-12-24T23:11:27Z
dc.description.abstractComputational cardiology is rapidly becoming the gold standard for innovative medical treatments and device development. Despite a worldwide effort in mathematical and computational modeling research, the complexity and intrinsic multiscale nature of the heart still limit our predictability power raising the question of the optimal modeling choice for large-scale whole-heart numerical investigations. We propose an extended numerical analysis among two different electrophysiological modeling approaches: a simplified phenomenological one and a detailed biophysical one. To achieve this, we considered three-dimensional healthy and infarcted swine heart geometries. Heterogeneous electrophysiological properties, fine-tuned DT-MRI -based anisotropy features, and non-conductive ischemic regions were included in a custom-built finite element code. We provide a quantitative comparison of the electrical behaviors during steady pacing and sustained ventricular fibrillation for healthy and diseased cases analyzing cardiac arrhythmias dynamics. Action potential duration (APD) restitution distributions, vortex filament counting, and pseudo-electrocardiography (ECG) signals were numerically quantified, introducing a novel statistical description of restitution patterns and ventricular fibrillation sustainability. Computational cost and scalability associated with the two modeling choices suggests that ventricular fibrillation signatures are mainly controlled by anatomy and structural parameters, rather than by regional restitution properties. Finally, we discuss limitations and translational perspectives of the different modeling approaches in view of large-scale whole-heart in silico studies.en_US
dc.identifierdoi: 10.3390/math8122242
dc.identifier.apacitationRamírez, W. A., Gizzi, A., Sack, K. L., Filippi, S., Guccione, J. M., & Hurtado, D. E. (2020). On the Role of Ionic Modeling on the Signature of Cardiac Arrhythmias for Healthy and Diseased Hearts. <i>Mathematics</i>, 8(12), http://hdl.handle.net/11427/35235en_ZA
dc.identifier.chicagocitationRamírez, William A, Alessio Gizzi, Kevin L Sack, Simonetta Filippi, Julius M Guccione, and Daniel E Hurtado "On the Role of Ionic Modeling on the Signature of Cardiac Arrhythmias for Healthy and Diseased Hearts." <i>Mathematics</i> 8, 12. (2020) http://hdl.handle.net/11427/35235en_ZA
dc.identifier.citationRamírez, W.A., Gizzi, A., Sack, K.L., Filippi, S., Guccione, J.M. & Hurtado, D.E. 2020. On the Role of Ionic Modeling on the Signature of Cardiac Arrhythmias for Healthy and Diseased Hearts. <i>Mathematics.</i> 8(12) http://hdl.handle.net/11427/35235en_ZA
dc.identifier.ris TY - Journal Article AU - Ramírez, William A AU - Gizzi, Alessio AU - Sack, Kevin L AU - Filippi, Simonetta AU - Guccione, Julius M AU - Hurtado, Daniel E AB - Computational cardiology is rapidly becoming the gold standard for innovative medical treatments and device development. Despite a worldwide effort in mathematical and computational modeling research, the complexity and intrinsic multiscale nature of the heart still limit our predictability power raising the question of the optimal modeling choice for large-scale whole-heart numerical investigations. We propose an extended numerical analysis among two different electrophysiological modeling approaches: a simplified phenomenological one and a detailed biophysical one. To achieve this, we considered three-dimensional healthy and infarcted swine heart geometries. Heterogeneous electrophysiological properties, fine-tuned DT-MRI -based anisotropy features, and non-conductive ischemic regions were included in a custom-built finite element code. We provide a quantitative comparison of the electrical behaviors during steady pacing and sustained ventricular fibrillation for healthy and diseased cases analyzing cardiac arrhythmias dynamics. Action potential duration (APD) restitution distributions, vortex filament counting, and pseudo-electrocardiography (ECG) signals were numerically quantified, introducing a novel statistical description of restitution patterns and ventricular fibrillation sustainability. Computational cost and scalability associated with the two modeling choices suggests that ventricular fibrillation signatures are mainly controlled by anatomy and structural parameters, rather than by regional restitution properties. Finally, we discuss limitations and translational perspectives of the different modeling approaches in view of large-scale whole-heart in silico studies. DA - 2020-12-18 DB - OpenUCT DP - University of Cape Town IS - 12 J1 - Mathematics LK - https://open.uct.ac.za PY - 2020 T1 - On the Role of Ionic Modeling on the Signature of Cardiac Arrhythmias for Healthy and Diseased Hearts TI - On the Role of Ionic Modeling on the Signature of Cardiac Arrhythmias for Healthy and Diseased Hearts UR - http://hdl.handle.net/11427/35235 ER - en_ZA
dc.identifier.urihttps://doi.org/10.3390/math8122242
dc.identifier.urihttp://hdl.handle.net/11427/35235
dc.identifier.vancouvercitationRamírez WA, Gizzi A, Sack KL, Filippi S, Guccione JM, Hurtado DE. On the Role of Ionic Modeling on the Signature of Cardiac Arrhythmias for Healthy and Diseased Hearts. Mathematics. 2020;8(12) http://hdl.handle.net/11427/35235.en_ZA
dc.publisher.departmentDepartment of Human Biologyen_US
dc.publisher.facultyFaculty of Health Sciencesen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.sourceMathematicsen_US
dc.source.journalissue12en_US
dc.source.journalvolume8en_US
dc.source.urihttps://www.mdpi.com/journal/mathematics
dc.titleOn the Role of Ionic Modeling on the Signature of Cardiac Arrhythmias for Healthy and Diseased Heartsen_US
dc.typeJournal Articleen_US
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