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Cardiac computational modeling is an emerging tool that can be used to verify the hypotheses of pathogenesis and inspire new risk stratification strategies. However, to obtain reliable results computational models must be validated with consistent experimental data. We reviewed the main electrophysiological and structural variables from BrS clinical studies to assess which data could be used to validate a computational approach. Activation delay in the epicardial right ventricular outflow tract is a consistent finding, as well as increased fibrosis and subclinical alterations of right ventricular functional and morphological parameters. The comparison between other electrophysiological variables is hindered by methodological differences between studies, which we commented. We conclude by presenting a recent theory unifying electrophysiological and structural substrate in BrS and illustrate how computational modeling could help translation to risk stratification.<\/jats:p>","DOI":"10.1111\/jce.16341","type":"journal-article","created":{"date-parts":[[2024,6,20]],"date-time":"2024-06-20T07:47:58Z","timestamp":1718869678000},"page":"1673-1687","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Electrophysiological patterns and structural substrates of Brugada syndrome: Critical appraisal and computational analyses"],"prefix":"10.1111","volume":"35","author":[{"given":"Paolo","family":"Seghetti","sequence":"first","affiliation":[{"name":"Health Science Interdisciplinary Center Scuola Superiore Sant'Anna Pisa Italy"},{"name":"Institute of Clinical Physiology National Research Council Pisa Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sara","family":"Latrofa","sequence":"additional","affiliation":[{"name":"Health Science Interdisciplinary Center Scuola Superiore Sant'Anna Pisa Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8194-1010","authenticated-orcid":false,"given":"Niccol\u00f2","family":"Biasi","sequence":"additional","affiliation":[{"name":"Department of Information Engineering Universit\u00e0 di Pisa Pisa Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alberto","family":"Giannoni","sequence":"additional","affiliation":[{"name":"Health Science Interdisciplinary Center Scuola Superiore Sant'Anna Pisa Italy"},{"name":"Fondazione Toscana \u2018G. 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