ORIGINAL RESEARCH article
Front. Netw. Physiol.
Sec. Systems Interactions and Organ Networks
Volume 5 - 2025 | doi: 10.3389/fnetp.2025.1680069
This article is part of the Research TopicStress recognition and classification in network interactions of physiological systems from biosignals: recent trends and novel approachesView all articles
Early Parasympathetic Dysfunction in Parkinson’s Disease: Insights from Information-Theoretic Analysis
Provisionally accepted- 1Department of Physiology and Biomedical Centre Martin (BioMed Martin), Jessenius Faculty of Medicine in Martin, Comenius University Bratislava, Martin, Slovakia
- 2Clinic of Neurology, Jessenius Faculty of Medicine in Martin, Comenius University Bratislava, Martin, Slovakia
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Parasympathetic nervous system (PNS) dysfunction in Parkinson’s disease (PD) has been frequently evaluated using heart rate variability (HRV) analysis in the time and frequency domains. Findings across studies have been inconsistent, limiting a unified understanding of early autonomic impairment. In this study, we applied both conventional and advanced analytical methods to evaluate cardiovascular PNS function in the early-stage PD patients. Sixteen individuals with PD (<6 months after motor signs occurrence) and sixteen age- and sex-matched healthy controls were assessed across three protocol phases (supine rest, head-up-tilt, and supine recovery). Traditional HRV analysis in the high-frequency band was used to estimate the overall respiratory heart rate variability (RespHRV; updated and more appropriate term for the respiration related heart rate oscillations formerly called respiratory sinus arrythmia, RSA) magnitude. To distinguish between baroreflex-mediated and non-baroreflex RespHRV mechanisms, we employed multiscale Partial Information Decomposition (PID), an information-theoretic method. Cardiac baroreflex sensitivity (BRS), reflecting reflex parasympathetic control, was assessed using a causal estimation approach, further supported by a PID-derived parameter quantifying coupling between systolic arterial pressure and R-R intervals. Additionally, the presence of constipation – a clinically relevant non-motor symptom indicative of parasympathetic dysfunction was used to stratify the PD cohort. Our results revealed that early-stage PD patients exhibited signs of parasympathetic impairment, particularly during orthostatic stress. HRV analysis showed reduced HF power during head-up tilt, while causal BRS was significantly lower across all protocol phases in the PD group. PID analysis further demonstrated a significant reduction in baroreflex-mediated mechanism of RespHRV during head-up-tilt in PD patients compared with healthy controls, indicating early dysfunction of the cardiac chronotropic baroreflex. This impairment was more pronounced in the group with gastrointestinal issues (with the presence of constipation), supporting the α-Synuclein Origin site and Connectome model. This model proposes that PD patients whose neurodegeneration originates in the peripheral autonomic nervous system are characterized by early and more severe autonomic dysfunction.
Keywords: Parasympathetic nervous system (PNS), Respiratory sinus arrythmia, Respiratory heart rate variability, Parkinson's disease, Network physiology, Information-theoretic analysis, Constipation
Received: 05 Aug 2025; Accepted: 11 Sep 2025.
Copyright: © 2025 Cernanova Krohova, Oleksakova, Turianikova, Czippelova, Grofik, Kurca and Javorka. 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: Zuzana Turianikova, Department of Physiology and Biomedical Centre Martin (BioMed Martin), Jessenius Faculty of Medicine in Martin, Comenius University Bratislava, Martin, Slovakia
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