Effects of Acetylcholine Release Spatial Distribution on the Frequency of Atrial Reentrant Circuits : a Computational Study
(2022) 2022 Computing in Cardiology, CinC 2022 In Computing in Cardiology 2022-September.- Abstract
The frequency of the ECG fibrillatory f-waves (Ff) in atrial fibrillation (AF) shows significant variations over time. Cardiorespiratory interactions through the autonomic nervous system have been suggested to play a role in such variations. Here, we tested whether the spatial distribution associated with the release of the parasympathetic neurotransmitter acetylcholine (ACh) could affect the frequency of atrial reentrant circuits. Computational simulations in a human persistent-AF 3D atrial model were performed. We evaluated two different patterns of atrial innervation: ACh release restricted to the area of the ganglionated plexi (GP) and the nerves departing from them, following the so-called octopus hypothesis, and ACh release... (More)
The frequency of the ECG fibrillatory f-waves (Ff) in atrial fibrillation (AF) shows significant variations over time. Cardiorespiratory interactions through the autonomic nervous system have been suggested to play a role in such variations. Here, we tested whether the spatial distribution associated with the release of the parasympathetic neurotransmitter acetylcholine (ACh) could affect the frequency of atrial reentrant circuits. Computational simulations in a human persistent-AF 3D atrial model were performed. We evaluated two different patterns of atrial innervation: ACh release restricted to the area of the ganglionated plexi (GP) and the nerves departing from them, following the so-called octopus hypothesis, and ACh release distributed uniformly randomly throughout the atria. In both cases, ACh release sites occupied 8% of the atria. The temporal pattern of ACh release was simulated following a sinusoidal waveform of frequency 0.125 Hz (respiratory frequency). Different mean levels and peak-to-peak variation ranges of ACh were tested. We found that variations in the dominant frequency Ff followed the simulated temporal ACh pattern in all cases, with Ff modulation being more pronounced for increasingly larger ACh variation ranges. For the tested percentage of ACh release sites (8%), the spatial distribution of ACh did not have an impact on Ff modulation.
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- author
- Celotto, Chiara LU ; Sanchez, Carlos ; Abdollahpur, Mostafa LU ; Sandberg, Frida LU ; Rodriguez, Jose F. ; Laguna, Pablo and Pueyo, Esther
- organization
- publishing date
- 2022
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 2022 Computing in Cardiology, CinC 2022
- series title
- Computing in Cardiology
- volume
- 2022-September
- publisher
- IEEE Computer Society
- conference name
- 2022 Computing in Cardiology, CinC 2022
- conference location
- Tampere, Finland
- conference dates
- 2022-09-04 - 2022-09-07
- external identifiers
-
- scopus:85152888898
- ISSN
- 2325-887X
- 2325-8861
- ISBN
- 9798350300970
- DOI
- 10.22489/CinC.2022.396
- project
- Diagnostic Biomarkers in Atrial Fibrillation - Autonomic Nervous System Response as a Sign of Disease Progression
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © 2022 Creative Commons.
- id
- 15606e38-4070-4bf5-843d-0ef91f888987
- date added to LUP
- 2023-05-03 11:53:28
- date last changed
- 2024-04-05 18:54:50
@inproceedings{15606e38-4070-4bf5-843d-0ef91f888987,
abstract = {{<p>The frequency of the ECG fibrillatory f-waves (Ff) in atrial fibrillation (AF) shows significant variations over time. Cardiorespiratory interactions through the autonomic nervous system have been suggested to play a role in such variations. Here, we tested whether the spatial distribution associated with the release of the parasympathetic neurotransmitter acetylcholine (ACh) could affect the frequency of atrial reentrant circuits. Computational simulations in a human persistent-AF 3D atrial model were performed. We evaluated two different patterns of atrial innervation: ACh release restricted to the area of the ganglionated plexi (GP) and the nerves departing from them, following the so-called octopus hypothesis, and ACh release distributed uniformly randomly throughout the atria. In both cases, ACh release sites occupied 8% of the atria. The temporal pattern of ACh release was simulated following a sinusoidal waveform of frequency 0.125 Hz (respiratory frequency). Different mean levels and peak-to-peak variation ranges of ACh were tested. We found that variations in the dominant frequency Ff followed the simulated temporal ACh pattern in all cases, with Ff modulation being more pronounced for increasingly larger ACh variation ranges. For the tested percentage of ACh release sites (8%), the spatial distribution of ACh did not have an impact on Ff modulation.</p>}},
author = {{Celotto, Chiara and Sanchez, Carlos and Abdollahpur, Mostafa and Sandberg, Frida and Rodriguez, Jose F. and Laguna, Pablo and Pueyo, Esther}},
booktitle = {{2022 Computing in Cardiology, CinC 2022}},
isbn = {{9798350300970}},
issn = {{2325-887X}},
language = {{eng}},
publisher = {{IEEE Computer Society}},
series = {{Computing in Cardiology}},
title = {{Effects of Acetylcholine Release Spatial Distribution on the Frequency of Atrial Reentrant Circuits : a Computational Study}},
url = {{http://dx.doi.org/10.22489/CinC.2022.396}},
doi = {{10.22489/CinC.2022.396}},
volume = {{2022-September}},
year = {{2022}},
}