Identifying locations susceptible to micro-anatomical reentry using a spatial network representation of atrial fibre maps.

ABSTRACT: Micro-anatomical reentry has been identified as a potential driver of atrial fibrillation (AF). In this paper, we introduce a novel computational method which aims to identify which atrial regions are most susceptible to micro-reentry. The approach, which considers the structural basis for micro-reentry only, is based on the premise that the accumulation of electrically insulating interstitial fibrosis can be modelled by simulating percolation-like phenomena on spatial networks. Our results suggest that at high coupling, where micro-reentry is rare, the micro-reentrant substrate is highly clustered in areas where the atrial walls are thin and have convex wall morphology, likely facilitating localised treatment via ablation. However, as transverse connections between fibres are removed, mim

SUBMITTER: Falkenberg M 

PROVIDER: S-EPMC9223322 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature