Evolution of Epicardial Rotors into Breakthrough Waves During Atrial Fibrillation in 3D Canine Biatrial Model with Detailed Fibre Orientation

Ataollah Tajabadi, Aditi Roy, M. Varela, O. Aslanidi
{"title":"Evolution of Epicardial Rotors into Breakthrough Waves During Atrial Fibrillation in 3D Canine Biatrial Model with Detailed Fibre Orientation","authors":"Ataollah Tajabadi, Aditi Roy, M. Varela, O. Aslanidi","doi":"10.23919/cinc53138.2021.9662910","DOIUrl":null,"url":null,"abstract":"Atrial fibrillation (AF) is the most common arrhythmia, but its mechanisms are still unclear. Commonly observed phenomena during AF are epicardial re-entrant drivers (rotors) and breakthrough waves. This study aims to elucidate AF mechanisms, including links between rotors and breakthroughs. We used 3D canine atrial models based on micro-CT reconstruction of biatrial geometry combined with region-specific electrophysiology models. Hence, the 3D model included ionic and structural heterogeneities in the entire atria, with special focus on the right atrium (RA) and pectinate muscles (PM). Results were visualized through 3D atrial membrane voltage maps (VM), 2D isochronal maps (IM), and wave maps (WM). AF episodes were initiated in the atria and were maintained by several epicardial rotors in the PV and RA. Transmural rotors were also seen to propagate through the PM and reemerge at the RA epicardium during these episodes. IM and WM revealed multiple breakthroughs at the region where the PM connect to the RA. The VM simulations, as well as electrogram-based IM and WM, showed that the complex AF patterns seen experimentally can be explained by the interactions of epicardial and transmural rotors.","PeriodicalId":126746,"journal":{"name":"2021 Computing in Cardiology (CinC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 Computing in Cardiology (CinC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/cinc53138.2021.9662910","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Atrial fibrillation (AF) is the most common arrhythmia, but its mechanisms are still unclear. Commonly observed phenomena during AF are epicardial re-entrant drivers (rotors) and breakthrough waves. This study aims to elucidate AF mechanisms, including links between rotors and breakthroughs. We used 3D canine atrial models based on micro-CT reconstruction of biatrial geometry combined with region-specific electrophysiology models. Hence, the 3D model included ionic and structural heterogeneities in the entire atria, with special focus on the right atrium (RA) and pectinate muscles (PM). Results were visualized through 3D atrial membrane voltage maps (VM), 2D isochronal maps (IM), and wave maps (WM). AF episodes were initiated in the atria and were maintained by several epicardial rotors in the PV and RA. Transmural rotors were also seen to propagate through the PM and reemerge at the RA epicardium during these episodes. IM and WM revealed multiple breakthroughs at the region where the PM connect to the RA. The VM simulations, as well as electrogram-based IM and WM, showed that the complex AF patterns seen experimentally can be explained by the interactions of epicardial and transmural rotors.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
具有详细纤维定向的犬双房三维模型心房颤动时心外膜旋翼向突破波的演变
心房颤动(AF)是最常见的心律失常,但其机制尚不清楚。房颤中常见的现象是心外膜再入驱动(旋翼)和突破波。本研究旨在阐明AF机制,包括转子与突破之间的联系。我们采用基于微ct双房几何重建结合区域特异性电生理模型的犬心房三维模型。因此,3D模型包括整个心房的离子和结构异质性,特别关注右心房(RA)和果胶肌(PM)。结果通过三维心房膜电压图(VM)、二维等时图(IM)和波图(WM)显示。房颤发作始于心房,由PV和RA的几个心外膜转盘维持。在这些发作期间,也可以看到跨壁转子通过PM传播并在RA心外膜上重新出现。IM和WM揭示了PM与RA连接的区域的多项突破。VM模拟以及基于电图的IM和WM显示,实验中看到的复杂AF模式可以通过心外膜和跨壁转子的相互作用来解释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Influence of Hydroxychloroquine Dosage on the Occurrence of Arrhythmia in COVID-19 Infected Ventricle Guinea Pig ECG Changes under the Effect of New Drug Candidate TP28b Electrocardiographic Imaging of Sinus Rhythm in Pig Hearts Using Bayesian Maximum A Posteriori Estimation Sensitivity Analysis and Parameter Identification of a Cardiovascular Model in Aortic Stenosis Semi-Supervised vs. Supervised Learning for Discriminating Atrial Flutter Mechanisms Using the 12-lead ECG
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1