ArticleEntropy (Basel, Switzerland)2019
Multiscale Information Decomposition Dissects Control Mechanisms of Heart Rate Variability at Rest and During Physiological Stress.
Article in Entropy (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed, 40 citations in OpenAlex.
- Interpreting higher-order dependence in multimorbidity using cohort data: A partial information decomposition approach.PLoS computational biology · 2026Article
- Early parasympathetic dysfunction in Parkinson's disease: insights from information-theoretic analysis.Frontiers in network physiology · 2025Article
- Oscillatory components of bidirectional cardio-respiratory coupling in depression and suicidal ideation: insights from swarm decomposition and entropy analysis.Frontiers in network physiology · 2025Article
- Assessing High-Order Links in Cardiovascular and Respiratory Networks via Static and Dynamic Information Measures.IEEE open journal of engineering in medicine and biology · 2024Article
- Gradients of O-information highlight synergy and redundancy in physiological applications.Frontiers in network physiology · 2023Article
- Feasibility of Ultra-Short-Term Analysis of Heart Rate and Systolic Arterial Pressure Variability at Rest and during Stress via Time-Domain and Entropy-Based Measures.Sensors (Basel, Switzerland) · 2022Article
- Assessment of Cardiorespiratory Interactions during Apneic Events in Sleep via Fuzzy Kernel Measures of Information Dynamics.Entropy (Basel, Switzerland) · 2021Article
- Synergistic Information Transfer in the Global System of Financial Markets.Entropy (Basel, Switzerland) · 2020Article
- Information Transfer in Linear Multivariate Processes Assessed through Penalized Regression Techniques: Validation and Application to Physiological Networks.Entropy (Basel, Switzerland) · 2020Article
- Multivariate and Multiscale Complexity of Long-Range Correlated Cardiovascular and Respiratory Variability Series.Entropy (Basel, Switzerland) · 2020Article
- Multivariate Correlation Measures Reveal Structure and Strength of Brain-Body Physiological Networks at Rest and During Mental Stress.Frontiers in neuroscience · 2020Article
- Respiratory Sinus Arrhythmia Mechanisms in Young Obese Subjects.Frontiers in neuroscience · 2020Article
- Dynamical disentanglement in an analysis of oscillatory systems: an application to respiratory sinus arrhythmia.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2019Article
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Authors and funding
10 authors at 4 institutions in 3 countries.
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No grant is acknowledged in the PubMed record.
Abstract
Heart rate variability (HRV; variability of the RR interval of the electrocardiogram) results from the activity of several coexisting control mechanisms, which involve the influence of respiration (RESP) and systolic blood pressure (SBP) oscillations operating across multiple temporal scales and changing in different physiological states. In this study, multiscale information decomposition is used to dissect the physiological mechanisms related to the genesis of HRV in 78 young volunteers monitored at rest and during postural and mental stress evoked by head-up tilt (HUT) and mental arithmetics (MA). After representing RR, RESP and SBP at different time scales through a recently proposed method based on multivariate state space models, the joint information transfer T RESP , SBP → RR is decomposed into unique, redundant and synergistic components, describing the strength of baroreflex modulation independent of respiration ( U SBP → RR ), nonbaroreflex ( U RESP → RR ) and baroreflex-mediated ( R RESP , SBP → RR ) respiratory influences, and simultaneous presence of baroreflex and nonbaroreflex respiratory influences ( S RESP , SBP → RR ), respectively. We find that fast (short time scale) HRV oscillations-respiratory sinus arrhythmia-originate from the coexistence of baroreflex and nonbaroreflex (central) mechanisms at rest, with a stronger baroreflex involvement during HUT. Focusing on slower HRV oscillations, the baroreflex origin is dominant and MA leads to its higher involvement. Respiration influences independent on baroreflex are present at long time scales, and are enhanced during HUT.
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