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Updated: Dec 16, 2025

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Physiological changes in sleep that affect fMRI inference.

Jeff H Duyn1, Pinar S Ozbay1, Catie Chang2

  • 1Advanced Magnetic Resonance Imaging Section, National Institute of Neurological Disorders and Stroke.

Current Opinion in Behavioral Sciences
|July 3, 2020
PubMed
Summary
This summary is machine-generated.

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Autonomic physiology significantly impacts functional magnetic resonance imaging (fMRI) signals by altering cerebral blood flow (CBF). Accounting for these physiological influences is vital for accurate fMRI studies, especially during sleep.

Area of Science:

  • Neuroimaging
  • Autonomic Physiology
  • Sleep Science

Background:

  • Functional magnetic resonance imaging (fMRI) measures brain activity via cerebral blood flow (CBF) changes.
  • Autonomic physiology, affecting vascular resistance and blood pressure, can influence fMRI signals.
  • The interplay between arousal state and autonomic function is critical in sleep-related fMRI studies.

Purpose of the Study:

  • To review the impact of autonomic physiology on fMRI signals during sleep.
  • To highlight the limitations of current methods for separating physiological confounds.
  • To suggest improvements for physiological signal correction in fMRI.

Main Methods:

  • Review of existing literature on fMRI, autonomic physiology, and sleep.
  • Analysis of the relationship between physiological parameters (heart rate, respiration) and fMRI signals.

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  • Discussion of advanced physiological monitoring techniques.

    • Main Results:

    • Autonomic influences on CBF are often underappreciated in fMRI.
    • Time-invariant models may inadequately correct for changing physiological relationships with arousal.
    • Additional physiological signals (e.g., vascular tone, blood pressure) may be necessary for accurate correction.

    Conclusions:

    • Accurate interpretation of fMRI during sleep requires careful consideration of autonomic influences.
    • Current physiological correction methods may need refinement to account for dynamic changes.
    • Integrating comprehensive physiological monitoring can improve fMRI data quality and reliability.