Related Experiment Video
Updated: Feb 10, 2026

Isolation and Characterization of Human Umbilical Cord-derived Mesenchymal Stem Cells from Preterm and Term Infants
Published on: January 26, 2019
Characterization of cardiorespiratory phase synchronization and directionality in late premature and full term
Maristella Lucchini1,2, Nicolò Pini1,2, William P Fifer1
1Department of Psychiatry, Columbia University College of Physicians & Surgeons, New York, NY, United States of America.
Insights
Cardiovascular and respiratory rhythms in newborns show directionality influenced by gestational age and sleep state. This research aids in understanding risks for late preterm infants and developing early markers for cardiorespiratory dysregulation.
Area of Science:
- Physiology
- Neonatal Medicine
- Systems Biology
Background:
- Physiological subsystems exhibit rhythmic activity with early developmental interdependencies.
- Traditional analysis quantifies interaction strength but lacks directional insights.
- Cardiorespiratory coupling irregularities are linked to infant pathologies.
Purpose of the Study:
- To quantify phase coupling and its directionality between cardiovascular and respiratory systems in newborns.
- To investigate the influence of gestational age (GA) on cardiorespiratory phase synchronization and coupling directionality.
- To assess the impact of sleep state on these cardiorespiratory interactions.
Main Methods:
- Developed a methodological application to quantify phase coupling and directionality.
- Analyzed data from newborn infants between 35 and 40 weeks of gestational age.
- Examined the relationship between gestational age, sleep state, and cardiorespiratory coupling dynamics.
Main Results:
- Cardiorespiratory coupling directionality varied significantly with gestational age.
- Sleep state also demonstrated a notable influence on the directionality profile.
- Identified distinct patterns of interaction based on GA and sleep condition.
Conclusions:
- Findings contribute to understanding risks associated with late preterm birth.
- Directionality of cardiorespiratory coupling is modulated by GA and sleep.
- Developed parameters may serve as early diagnostic markers for infant cardiorespiratory dysregulation.
Objective:
Though the mutual influence of cardiovascular and respiratory rhythms in healthy newborns has been documented, its full characterization is still pending. In general, the activity of many physiological subsystems has a well-expressed rhythmic character, and often an interdependency between physiological rhythms emerges early in development. Traditional methods of data analysis only address the quantification of the strength of subsystem interactions. In this work, we will investigate system interrelationships in terms of the possible presence of causal or directional interplays.
Approach:
In this paper, we propose a methodological application that quantifies phase coupling and its directionality in a population of newborn infants born between 35 and 40 weeks of gestational age (GA). The aim is to assess whether GA at birth significantly influences the development of phase synchronization and the directionality of the coupling between the cardiovascular and respiratory system activity. Several studies indicating irregular cardiorespiratory coupling as a leading cause of several pathologies underscore the need to investigate this phenomenon in this at-risk population.
Main Results:
Results from our investigation show a different directionality profile as a function of GA and sleep state.
Significance:
These findings are a contribution to the understanding of higher risk for the documented negative outcomes in the late preterm population. Moreover, these parameters could provide a tool for the development of early markers of cardiorespiratory dysregulation in infants.
Related Concept Videos
Directional Terms
Three-Phase Short Circuit—Unloaded Synchronous Machine
This behavior occurs due to the magnetic flux produced by the short-circuit armature currents. Initially, these currents follow high-reluctance paths but eventually shift to...
Phase Transitions
Long-term Depression
Phase Diagrams
Simplified Synchronous Machine Model
In this model, each generator is connected to a...

