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Published on: July 20, 2022
Granger Causality and Jensen-Shannon Divergence to Determine Dominant Atrial Area in Atrial Fibrillation
Raquel Cervigón1, Francisco Castells2, José Manuel Gómez-Pulido3
1Escuela Politécnica, Universidad de Castilla-La Mancha, Camino del Pozuelo sn, 16071 Cuenca, Spain.
Insights
Patients undergoing atrial fibrillation (AF) ablation with recurrence showed higher atrial connectivity before and during the procedure. This finding aids in designing better AF ablation strategies.
Area of Science:
- Cardiology
- Biomedical Engineering
- Computational Biology
Background:
- Atrial fibrillation (AF) is the most prevalent cardiac arrhythmia.
- Catheter pulmonary vein ablation is a common treatment for AF, but recurrence rates remain high.
Purpose of the Study:
- To analyze electrical signal connectivity in the atria before and during AF ablation.
- To identify electrophysiological markers predictive of AF recurrence post-ablation.
Main Methods:
- Recording bipolar catheter electrical signals from pulmonary veins, left atrium (LA), and right atrium (RA).
- Applying Principal Component Analysis (PCA) for data dimensionality reduction.
- Utilizing Granger causality and divergence techniques to assess atrial connectivity.
Main Results:
- Patients with AF recurrence exhibited greater pre-ablation connectivity between atrial regions.
- During ablation, recurrence patients showed higher LA and RA connectivity compared to those maintaining sinus rhythm.
Conclusions:
- Pre-procedural and intra-procedural atrial electrical connectivity patterns can predict AF recurrence after ablation.
- These findings may inform the design of more effective AF ablation procedures.
Abstract:
Atrial fibrillation (AF) is already the most commonly occurring arrhythmia. Catheter pulmonary vein ablation has emerged as a treatment that is able to make the arrhythmia disappear; nevertheless, recurrence to arrhythmia is very frequent. In this study, it is proposed to perform an analysis of the electrical signals recorded from bipolar catheters at three locations, pulmonary veins and the right and left atria, before to and during the ablation procedure. Principal Component Analysis (PCA) was applied to reduce data dimension and Granger causality and divergence techniques were applied to analyse connectivity along the atria, in three main regions: pulmonary veins, left atrium (LA) and right atrium (RA). The results showed that, before the procedure, patients with recurrence in the arrhythmia had greater connectivity between atrial areas. Moreover, during the ablation procedure, in patients with recurrence in the arrhythmial both atria were more connected than in patients that maintained sinus rhythms. These results can be helpful for procedures designing to end AF.
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