@inproceedings{7b35545f403c4964a1345fcc77705285,
title = "Epicardial fibrosis explains increased transmural conduction in a computer model of atrial fibrillation",
abstract = "Recent work has shown that the transition from persistent to permanent AF in goats coincides with an increase in fibrosis in the outer millimeter of the atrial wall. Macroscopically this leads to reduced electrical conductivity orthogonal to the dominant fiber orientation. We constructed a detailed geometry of the human atria including epicardial layer and all major endocardial bundle structures. The model also includes realistic one to three layers of fiber orientations, corresponding to their location in the atrium. The numbers of waves, phase singularities, and breakthroughs (BTs) were quantified at different degrees of fibrotic tissue. Increase in the 'fibrotic' volume from zero (Control) to moderate (50% Fibrotic), and severe (70% Fibrotic) increased both the number of waves and the number of phase singularities. Along with the increase in fibrosis, the endo-epicardial electrical activity dyssynchrony increased.",
author = "Ali Gharaviri and Mark Potse and Sander Verheule and Rolf Krause and Angelo Auricchio and Ulrich Schotten",
note = "Publisher Copyright: {\textcopyright} 2016 CCAL.; 43rd Computing in Cardiology Conference, CinC 2016 ; Conference date: 11-09-2016 Through 14-09-2016",
year = "2016",
month = mar,
day = "1",
doi = "10.22489/cinc.2016.071-216",
language = "English (US)",
series = "Computing in Cardiology",
publisher = "IEEE Computer Society",
pages = "237--240",
editor = "Alan Murray",
booktitle = "Computing in Cardiology Conference, CinC 2016",
address = "United States",
}