170232 20260407115449.0 doi 10.1371/journal.pcbi.1013688 sideral 148722 ART-2026-148722 eng Rosales, Ricardo M. Integrated multi-modal data analysis for computational modeling of healthy and location-dependent myocardial infarction conditions in porcine hearts 2026 Porcine hearts are widely used for preclinical cardiac evaluation. Computational models, by effectively integrating comprehensive experimental data, often reinforce this preclinical assessment. Using extensive multi-modal data, we developed swine ventricular digital twins for healthy and chronic myocardial infarction (MI) conditions to investigate the roles of the cardiac conduction system (CS), spatial repolarization heterogeneities, cardiomyocyte orientation, cell-to-cell coupling, and MI characteristics on ventricular function. We analyzed cardiac magnetic resonance (CMR) images, electrocardiograms (ECGs), and optical (OM) and electroanatomical mapping from 5 healthy and 10 MI pigs. CS architectures were built from OM and ECG recordings. Myocardial fiber orientation, action potential characteristics, and cell-to-cell conductivity in MI tissue were defined from OM and CMR data. Simulated ECGs for healthy and MI models of left anterior descending and left circumflex occlusions were compared to experimental ECGs and were used to assess MI-induced changes. Subject-specific fiber orientation calibration minimally affected electrophysiology, with conduction velocity (CV) and action potential duration (APD) changing by less than 3.6% with respect to standard orientation. Accurate CS and repolarization heterogeneities reproduced depolarization (Pearson correlation 0.76 for QRS) and repolarization (Pearson correlation 0.74 for T-wave) patterns. Incorporating experimentally guided MI-induced alterations enabled the replication of MI depolarization and repolarization features (relative errors: 0.5% CV, 2.9% APD), yielded realistic T-wave morphologies (0.63 Pearson correlation), and revealed ECG patterns specific to vessel-dependent occlusions. Thus, by integrating extensive multi-modal data, we advance porcine cardiac digital twins and demonstrate the influence of key structural and electrophysiological parameters on healthy and MI heart function, providing a robust computational framework for mechanistic and translational applications. Access copy available to the general public Unrestricted info:eu-repo/grantAgreement/ES/AEI/PID2023-148975OB-I00 info:eu-repo/grantAgreement/ES/DGA-FEDER/T39-23R-BSICoS info:eu-repo/grantAgreement/ES/MCIN/PLEC2021-008127 info:eu-repo/grantAgreement/ES/MICINN/CNS2022-135899 info:eu-repo/grantAgreement/ES/MICINN/PID2022-140556OB-I00 info:eu-repo/grantAgreement/EUR/MICINN/TED2021-130459B-I00 info:eu-repo/semantics/openAccess by https://creativecommons.org/licenses/by/4.0/deed.es info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Wu, Ming Claus, Piet Janssens, Stefan Ríos-Muñoz, Gonzalo R. Fernández-Santos, María Eugenia Martínez-Legazpi, Pablo Bermejo, Javier Flanagan, Aiden Doblaré, Manuel Universidad de Zaragoza (orcid)0000-0001-8741-6452 Mincholé, Ana Universidad de Zaragoza (orcid)0000-0003-3183-4107 Pueyo, Esther Universidad de Zaragoza (orcid)0000-0002-1960-407X 5008 800 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Teoría Señal y Comunicac. 5004 605 Universidad de Zaragoza Dpto. Ingeniería Mecánica Área Mec.Med.Cont. y Teor.Est. 22, 3 (2026), e1013688 [38 pp.] PLoS Comput. Biol. PLOS COMPUTATIONAL BIOLOGY 1553-734X 3975531 http://zaguan.unizar.es/record/170232/files/texto_completo.pdf Versión publicada 2876380 http://zaguan.unizar.es/record/170232/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:170232 articulos driver 2026-03-26-14:32:13 ARTICLE