Humans have nasal respiratory fingerprints

Timna Soroka, Aharon Ravia, Kobi Snitz, Danielle Honigstein, Aharon Weissbrod, Lior Gorodisky, Tali Weiss, Ofer Perl, Noam Sobel

Research output: Contribution to journalArticlepeer-review

Abstract

Long-term respiratory patterns are generated by remarkably complex brain networks. Because brains are unique, we hypothesized that their dependent respiratory patterns may be similarly unique. To test this hypothesis, we developed a wearable device that precisely measures and logs nasal airflow in each nostril separately for up to 24-h periods. We found that we could identify members of a 97-participant cohort at a remarkable 96.8% accuracy from nasal airflow patterns alone. In other words, humans have individual nasal airflow fingerprints. Moreover, in test-retest experiments, we found that these individual fingerprints remain stable over extended periods of time, such that individual identification by nasal airflow fingerprints was on par with or better than voice recognition. Finally, we find that the high sensitivity of these fingerprints provides significant indications on both physiological states, such as levels of arousal and body-mass index, and cognitive traits, such as levels of anxiety, levels of depression, and behavioral tendencies. We conclude that long-term patterns of nasal airflow reflect the brain drivers of respiration, are individually unique, and have significant implications for health, emotion, and cognition.

Original languageEnglish
JournalCurrent Biology
Early online date30 May 2025
DOIs
StatePublished - 7 Jul 2025

Bibliographical note

Publisher Copyright:
© 2025 The Authors

Keywords

  • biomarkers
  • BMI
  • cognition
  • emotion
  • health
  • respiratory brain interactions

ASJC Scopus subject areas

  • General Biochemistry, Genetics and Molecular Biology
  • General Agricultural and Biological Sciences

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