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Atrial fibrillation driver identification through regional mutual information networks: a modeling perspective
PURPOSE: Effective identification of electrical drivers within remodeled tissue is a key for improving ablation treatment for atrial fibrillation. We have developed a mutual information, graph-based approach to identify and propose fault tolerance metric of local efficiency as a distinguishing featu...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9470649/ https://www.ncbi.nlm.nih.gov/pubmed/34981289 http://dx.doi.org/10.1007/s10840-021-01101-z |
Sumario: | PURPOSE: Effective identification of electrical drivers within remodeled tissue is a key for improving ablation treatment for atrial fibrillation. We have developed a mutual information, graph-based approach to identify and propose fault tolerance metric of local efficiency as a distinguishing feature of rotational activation and remodeled atrial tissue. METHODS: Voltage data were extracted from atrial tissue simulations (2D Karma, 3D physiological, and the Multiscale Cardiac Simulation Framework (MSCSF)) using multi-spline open and parallel regional mapping catheter geometries. Graphs were generated based on varied mutual information thresholds between electrode pairs and the local efficiency for each graph was calculated. RESULTS: High-resolution mapping catheter geometries can distinguish between rotational and irregular activation patterns using the derivative of local efficiency as a function of increasing mutual information threshold. The derivative is decreased for rotational activation patterns comparing to irregular activations in both a simplified 2D model (0.0017 ± 1 × 10(−4) vs. 0.0032 ± 1 × 10(−4), p < 0.01) and a more realistic 3D model (0.00092 ± 5 × 10(−5) vs. 0.0014 ± 4 × 10(−5), p < 0.01). Average local efficiency derivative can also distinguish between degrees of remodeling. Simulations using the MSCSF model, with 10 vs. 90% remodeling, display distinct derivatives in the grid design parallel spline catheter configuration (0.0015 ± 5 × 10(−5) vs. 0.0019 ± 6 × 10(−5), p < 0.01) and the flower shaped open spline configuration (0.0011 ± 5 × 10(−5) vs. 0.0016 ± 4 × 10(−5), p < 0.01). CONCLUSION: A decreased derivative of local efficiency characterizes rotational activation and varies with atrial remodeling. This suggests a distinct communication pattern in cardiac rotational activation detectable via high-resolution regional mapping and could enable identification of electrical drivers for targeted ablation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10840-021-01101-z. |
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