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Identification of coupling direction: application to cardiorespiratory interaction.

Michael G Rosenblum1, Laura Cimponeriu, Anastasios Bezerianos

  • 1Department of Physics, University of Potsdam, Am Neuen Palais, PF 601553, D-14415 Potsdam, Germany.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|May 15, 2002
PubMed
Summary

This study introduces new methods to detect the direction of coupling between oscillators using bivariate data. The findings show a shift in cardiorespiratory coupling direction in infants over their first six months.

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Area of Science:

  • Nonlinear dynamics
  • Biophysics
  • Systems biology

Background:

  • Detecting directional coupling between oscillators is crucial for understanding complex systems.
  • Existing methods may have limitations with short, noisy data.

Purpose of the Study:

  • To develop and validate novel algorithms for quantifying directional coupling between self-sustained oscillators.
  • To assess cardiorespiratory system interactions in infants using these new methods.

Main Methods:

  • Development of alternative and predictability-based algorithms for directionality detection.
  • Application of algorithms to bivariate data, including short and noisy datasets.
  • Analysis of cardiorespiratory interaction in healthy infants aged 0-6 months.

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Main Results:

  • Demonstrated efficiency of three algorithms in determining directionality index.
  • Identified age-dependent changes in the directionality of cardiorespiratory coupling in infants.
  • Observed a transition from bidirectional to unidirectional coupling (respiration to cardiovascular) with age.

Conclusions:

  • The developed algorithms effectively determine coupling directionality from complex physiological data.
  • Cardiorespiratory coupling undergoes significant developmental changes in early infancy.
  • Findings provide insights into the maturation of autonomic nervous system regulation.