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Related Concept Videos

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Related Experiment Video

Updated: Mar 14, 2026

Collection, Expansion, and Differentiation of Primary Human Nasal Epithelial Cell Models for Quantification of Cilia Beat Frequency
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Measuring and Characterizing the Human Nasal Cycle.

Roni Kahana-Zweig1, Maya Geva-Sagiv1, Aharon Weissbrod1

  • 1Department of Neurobiology, The Weizmann Institute of Science, Rehovot, 76100, Israel.

Plos One
|October 7, 2016
PubMed
Summary
This summary is machine-generated.

The nasal cycle, an alternating pattern of nasal airflow, was measured using a novel, low-cost device. Cycle duration varied with wakefulness and sleep, and was influenced by breathing rate and body posture.

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Area of Science:

  • Physiology
  • Neuroscience
  • Medical Devices

Background:

  • Nasal airflow exhibits natural asymmetry due to the nasal cycle, a phenomenon linked to autonomic arousal and brain function.
  • Alterations in nasal cycle periodicity are associated with various diseases, highlighting the need for accurate measurement tools.
  • Existing methods for nasal airflow measurement are insufficient for continuous, separate nostril monitoring.

Purpose of the Study:

  • To develop and validate a low-cost, easy-to-construct tool for continuous, separate measurement of airflow in each nostril.
  • To characterize nasal cycle periodicity in healthy subjects using statistical measures derived from 24-hour recordings.
  • To investigate the relationship between nasal cycle characteristics and physiological states like wakefulness, sleep, breathing rate, and body posture.

Main Methods:

  • Detailed instructions were provided for constructing a novel nasal airflow measurement device.
  • The device was applied to 33 right-handed healthy subjects for 24-hour recordings.
  • Statistical analyses were performed to derive measures for nasal cycle characterization and assess correlations with physiological factors.

Main Results:

  • Subjects exhibited slightly longer left nostril dominance compared to the right (2.63 vs. 2.17 hours, p < 0.05).
  • Nasal cycle duration was significantly shorter during wakefulness than during sleep (2.02 vs. 4.5 hours, p < 0.0001).
  • Slower breathing rates correlated with a more pronounced nasal cycle (r = 0.4, p < 0.0001), and body posture influenced contralateral nostril airflow (p < 0.002).

Conclusions:

  • The developed tool enables accurate, continuous, and separate measurement of nasal airflow, facilitating nasal cycle research.
  • Nasal cycle characteristics are significantly influenced by circadian rhythms (wake/sleep), breathing patterns, and body posture.
  • The findings provide a basis for using nasal cycle measures in diagnostic assessments for neurological conditions and cognitive states.