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.

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