ArticlePloS one2015
Network Physiology: How Organ Systems Dynamically Interact.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 199 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
199 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Visual attention and postural stability among older adults participating in health-enhancing physical activity: a systematic review.Frontiers in network physiology · 2026Pooled it
- Cardiorespiratory coordination reveals training-specific physiological adaptations.European journal of applied physiology · 2019Trial
- Network integration and evolution of organ systems interactions during incremental exercise.European journal of applied physiology · 2026Article
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- Networks of respiratory-muscular coupling in exercise and fatigue in young adults.Physiological reports · 2026Article
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- Tone-Evoked Sleep Electroencephalographic Slow Oscillations as a Function of Peripheral Rhythms: New Insights Into the Brain-Heart Integration.Journal of sleep research · 2026Article
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- Direct causality measures unravel complex networks of cardiovascular dynamics and their modifications with postural stress.PLoS computational biology · 2026Article
- Toward relational biosecurity: understanding AI-enabled biology as a connected system.Frontiers in microbiology · 2026Article
- Geometric pacing: external reference support as a principle of physiological stabilization in aging and pre-pathological states.Frontiers in network physiology · 2026Article
- Physiological amplitude: a systems-level framework for adaptive capacity in aging and metabolism.Frontiers in aging · 2026Article
- Changes in cardio-respiratory-vascular coupling dynamics across altitude gradients: a shift from linear synchrony to nonlinear complexity.Frontiers in physiology · 2026Article
- Brain-heart coupling in tourette syndrome: a precision functional mapping study of discordant siblings.Frontiers in network physiology · 2026Article
- Bioenergetic impedance: a network physiology framework for stress adaptation, maladaptation, and recovery.Frontiers in network physiology · 2026Article
- The amplitude-amplitude cross-frequency coupling method: a step-by-step guide to quantifying physiological network interactions.Frontiers in network physiology · 2026Article
- The fibrosis-plasticity axis (FPA) and ionic resilience: a systems framework for understanding adverse drug reactions in ageing populations.Frontiers in pharmacology · 2026Article
139 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
We systematically study how diverse physiologic systems in the human organism dynamically interact and collectively behave to produce distinct physiologic states and functions. This is a fundamental question in the new interdisciplinary field of Network Physiology, and has not been previously explored. Introducing the novel concept of Time Delay Stability (TDS), we develop a computational approach to identify and quantify networks of physiologic interactions from long-term continuous, multi-channel physiological recordings. We also develop a physiologically-motivated visualization framework to map networks of dynamical organ interactions to graphical objects encoded with information about the coupling strength of network links quantified using the TDS measure. Applying a system-wide integrative approach, we identify distinct patterns in the network structure of organ interactions, as well as the frequency bands through which these interactions are mediated. We establish first maps representing physiologic organ network interactions and discover basic rules underlying the complex hierarchical reorganization in physiologic networks with transitions across physiologic states. Our findings demonstrate a direct association between network topology and physiologic function, and provide new insights into understanding how health and distinct physiologic states emerge from networked interactions among nonlinear multi-component complex systems. The presented here investigations are initial steps in building a first atlas of dynamic interactions among organ systems.
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Registered trials
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.