ArticlePhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2016
Delay-correlation landscape reveals characteristic time delays of brain rhythms and heart interactions.
Article in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.
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56 citing papers in PubMed, 92 citations in OpenAlex.
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- Astragali Radix-Carthami Flos alleviate brain-heart injury after cerebral ischemia/reperfusion via regulating TSPO signaling.NPJ science of food · 2025Article
- Variations of autonomic arousal mediate the reportability of mind blanking occurrences.Scientific reports · 2025Article
- Complexity synchronization analysis of neurophysiological data: Theory and methods.Frontiers in network physiology · 2025Article
- Oscillatory Coupling Between Neural and Cardiac Rhythms.Psychological science · 2024Article
- Causal Analysis of Physiological Sleep Data Using Granger Causality and Score-Based Structure Learning.Sensors (Basel, Switzerland) · 2023Article
- Network of muscle fibers activation facilitates inter-muscular coordination, adapts to fatigue and reflects muscle function.Communications biology · 2023Article
- Time-varying information measures: an adaptive estimation of information storage with application to brain-heart interactions.Frontiers in network physiology · 2023Article
- Dynamic networks of cortico-muscular interactions in sleep and neurodegenerative disorders.Frontiers in network physiology · 2023Article
- Central autonomic network alterations in male endurance athletes.Scientific reports · 2022Article
- Network Physiology of Exercise: Beyond Molecular and Omics Perspectives.Sports medicine - open · 2022Article
- Ensemble of coupling forms and networks among brain rhythms as function of states and cognition.Communications biology · 2022Article
- Article
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- The Reconstruction of Causal Networks in Physiology.Frontiers in network physiology · 2022Article
Corrections and comments
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Authors and funding
4 authors at 4 institutions in 4 countries.
Funding
Abstract
Within the framework of 'Network Physiology', we ask a fundamental question of how modulations in cardiac dynamics emerge from networked brain-heart interactions. We propose a generalized time-delay approach to identify and quantify dynamical interactions between physiologically relevant brain rhythms and the heart rate. We perform empirical analysis of synchronized continuous EEG and ECG recordings from 34 healthy subjects during night-time sleep. For each pair of brain rhythm and heart interaction, we construct a delay-correlation landscape (DCL) that characterizes how individual brain rhythms are coupled to the heart rate, and how modulations in brain and cardiac dynamics are coordinated in time. We uncover characteristic time delays and an ensemble of specific profiles for the probability distribution of time delays that underly brain-heart interactions. These profiles are consistently observed in all subjects, indicating a universal pattern. Tracking the evolution of DCL across different sleep stages, we find that the ensemble of time-delay profiles changes from one physiologic state to another, indicating a strong association with physiologic state and function. The reported observations provide new insights on neurophysiological regulation of cardiac dynamics, with potential for broad clinical applications. The presented approach allows one to simultaneously capture key elements of dynamic interactions, including characteristic time delays and their time evolution, and can be applied to a range of coupled dynamical systems.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.