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Parasympathetic Tone Selectively Modulates Electrogram Fragmentation and Spectral Properties in Right Atrial
Andrea Giomi1, Andrea Bernardini1, Alessandro Paoletti Perini1
1Department of Medical Specialities Azienda USL Toscana Centro, Santa Maria Nuova Hospital Florence Italy.
Electrogram fragmentation and spectral analysis of ganglionated plexi (GP) regions are strongly correlated. Parasympathetic tone uniquely alters these features in GP areas, suggesting improved targeting for cardioneuroablation.
Area of Science:
- Cardiology
- Electrophysiology
- Autonomic Nervous System
Background:
- Ganglionated plexi (GP) are crucial in cardiac autonomic regulation.
- Electrogram (EGM) fragmentation and spectral analysis are proposed methods for GP identification.
- The relationship between these GP identification methods and their modulation by parasympathetic tone requires further investigation.
Purpose of the Study:
- To investigate the correlation between EGM fragmentation and spectral properties of GP regions.
- To determine if these properties are modulated by parasympathetic tone.
- To explore the implications for cardioneuroablation (CNA).
Main Methods:
- High-density right atrial mapping in 13 patients undergoing electrophysiological studies.
- Spectral analysis using fast Fourier transformation (FFT) to derive mean, median, and skewness.
- Comparison of spectral properties during baseline and post-atropine administration.
Main Results:
- GP regions exhibited fragmented EGMs with higher mean/median frequencies and lower skewness compared to myocardium.
- Atropine administration significantly decreased mean and median frequencies and increased skewness in GP regions.
- No significant spectral alterations were observed in non-GP regions post-atropine.
Conclusions:
- EGM fragmentation and spectral properties are significantly correlated in identifying GP regions.
- Parasympathetic tone selectively modulates these features within GP areas.
- The distinct GP signal characteristics may stem from cholinergic activity and structural properties, aiding precise CNA targeting.
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