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Temporal variations in the pattern of breathing

E N Bruce1

  • 1Center for Biomedical Engineering, University of Kentucky, Lexington 40506, USA.

Journal of Applied Physiology (Bethesda, Md. : 1985)
|April 1, 1996
PubMed
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Breathing patterns exhibit various fluctuations, including random noise and nonrandom variations like periodic oscillations. Nonlinear interactions in respiratory control mechanisms explain complex breathing variability, offering insights into respiratory rhythm generation.

Area of Science:

  • Physiology
  • Respiratory Control
  • Nonlinear Dynamics

Background:

  • Breathing pattern variability includes random and nonrandom fluctuations.
  • Periodic breathing variations are often linked to chemoreflex feedback loops.
  • Central neural mechanisms were previously hypothesized for correlated random breathing variations.

Purpose of the Study:

  • To investigate the physiological bases of different breathing pattern variations.
  • To explore the role of nonlinear interactions in respiratory control.
  • To propose a nonlinear oscillator model for respiratory rhythm generation.

Main Methods:

  • Analysis of breath-to-breath variations in respiratory patterns.
  • Investigating nonlinear interactions between afferent activities and central respiratory mechanisms.

Related Experiment Videos

  • Interpretation of findings through a nonlinear oscillator framework.
  • Main Results:

    • Identified uncorrelated random variations (white noise), correlated random changes, periodic oscillations, and nonrandom nonperiodic fluctuations in breathing.
    • Demonstrated that nonlinear interactions can produce both periodic and nonrandom nonperiodic respiratory variability.
    • Highlighted the importance of integrative central respiratory mechanisms and time-varying pulmonary afferent activities.

    Conclusions:

    • Nonlinear interactions are crucial for generating complex respiratory pattern variability.
    • A nonlinear oscillator model provides a framework for understanding respiratory rhythm generation and pattern formation.
    • Further research is needed to elucidate the physiological bases of observed breathing phenomena.