ORIGINAL RESEARCH article

Front. Physiol.

Sec. Autonomic Neuroscience

Volume 16 - 2025 | doi: 10.3389/fphys.2025.1498426

This article is part of the Research TopicCardio-Respiratory-Brain Integrative Physiology: Interactions, Mechanisms, and Methods for AssessmentView all 11 articles

Tilt-induced changes in f-wave characteristics during atrial fibrillation: an experimental and computational investigation

Provisionally accepted
  • 1Department of Biomedical Engineering, Faculty of Engineering, Lund University, Lund, Sweden
  • 2BSICoS GROUP, Zaragoza, Aragon, Spain
  • 3CIBER de Bioingenier´ıa, Biomateriales y Nanomedicina (CIBER-BBN), Zaragoza, Spain
  • 4Department of Internal Medicine and Department of Clinical Physiology, Central Hospital Kristianstad, Kristianstad, Sweden
  • 5Department of Cardiology, Clinical Sciences and Center for Integrative Electrocardiology at Lund University (CIEL), Lund, Sweden

The final, formatted version of the article will be published soon.

This study explores transient and stationary effects of sympathetic and parasympathetic stimulation on f-wave characteristics in atrial fibrillation (AF) patients undergoing a tilt test. Transient phase is defined as the initial 2-minute interval following each postural change, reflecting immediate autonomic adaptation, whereas steady phase refers to the subsequent interval (from 3 minutes post-change until phase end) representing a stable autonomic state.Our primary aim is to investigate how the two branches of the autonomic nervous system (ANS) influence the f-wave frequency time series ($f(m)$). An analysis of $f(m)$ in terms of the mean over time ($\mathcal{F}_{\rm f}$) and the magnitude of respiration-modulated $f(m)$ variations ($\Delta\mathcal{F}_{\rm f}$) is conducted during baseline supine rest (B), head-down tilt (HDT) and head-up tilt (HUT). We analyzed data from a previous study in which 24 patients with persistent AF underwent a tilt test protocol, during which electrocardiograms (ECGs) were recorded. A model-based method was used to extract $f(m)$ series from the ECG. Subsequently, an orthogonal subspace projection method was employed to quantify $\Delta\mathcal{F}_{\rm f}$, considering an ECG-derived respiratory signal.Electrophysiological computational simulations were conducted on 2D and 3D human atrial persistent AF models to aid the interpretation of clinical findings. Various levels of cholinergic stimulation by acetylcholine and $\beta$-adrenergic stimulation by isoproterenol were tested in the models. The temporal modulation of acetylcholine, representing changes associated with respiration, was cyclically modeled using sinusoidal waveforms. Analysis of the clinical data showed a decrease in $\mathcal{F}_{\rm f}$ from B to HDT and an increase from HDT to HUT. During HDT, $\Delta\mathcal{F}_{\rm f}$ initially increased in the transient phase before decreasing in the steady phase, then rose again during HUT. Analysis of the simulated data showed that increasing the concentration of Isoproterenol and/or acetylcholine resulted in a rise in $\mathcal{F}_{\rm f}$. Additionally, the magnitude of $\Delta\mathcal{F}_{\rm f}$ was shown to be associated with the extent of acetylcholine fluctuation. These results suggest that changes in f-wave frequency characteristics during HUT and HDT could be linked to changes in sympathetic activity, with parasympathetic activity possibly modulating the effects of sympathetic activity rather than being an independent driver of fibrillatory rate changes.

Keywords: Atrial Fibrillation, Autonomic Nervous System, ECG processing, f-wave frequency, Parasympathetic regulation, Respiratory modulation

Received: 18 Sep 2024; Accepted: 23 May 2025.

Copyright: © 2025 Abdollahpur, Celotto, Sanchez, Plappert, Östenson, Platonov, Laguna, Pueyo and Sandberg. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Mostafa Abdollahpur, Department of Biomedical Engineering, Faculty of Engineering, Lund University, Lund, Sweden

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