Why the study?
Micro-anatomical reentry has been identified as a potential driver of AF, but computational methods are needed to identify which atrial regions are most susceptible to micro-reentry.
Population
Image-based models of atrial fibre maps
Comparison
Models with vs without atrial fibre structure
Design
Computational simulation study
Key result
A novel spatial network model demonstrated that micro-reentrant substrates are highly clustered in thin, convex atrial regions at low fibrosis densities, and are suppressed by strong longitudinal fibre coupling.
Authors
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Hypothesis-generating for region-specific ablation in fibrotic atria; leaves open clinical translation and validation in patients.
A novel computational method demonstrates that the accumulation of interstitial fibrosis alters the spatial clustering of micro-reentrant substrates, potentially impacting the efficacy of localized ablation for atrial fibrillation.
Falkenberg et al. (2022) studied Atrial fibrillation (n=3). Spatial network representation of atrial fibre maps (fibre model) vs. Fibre-less null model was evaluated on Identification of atrial regions susceptible to micro-reentry. A novel spatial network model demonstrated that micro-reentrant substrates are highly clustered in thin, convex atrial regions at low fibrosis densities, and are suppressed by strong longitudinal fibre coupling.
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