Modelling analysis of centroid curves of olfactory habituation in humans

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Eric Laffon - , Regional Centre for Prevention of Healthcare Associated Infections, Université de Bordeaux (Author)
  • Thomas Hummel - , Department of Otorhinolaryngology, Head and Neck Surgery, University Hospital Carl Gustav Carus Dresden, TUD Dresden University of Technology (Author)
  • Roger Marthan - , Regional Centre for Prevention of Healthcare Associated Infections, Université de Bordeaux (Author)
  • Charlotte Sinding - , INRAE CSGA (Author)

Abstract

Previously published experiments established the time-course of olfactory habituation in humans, and extracted 3 centroid curves from clustering analysis that reflected high, middle and low habituation. The aim of the current theoretical study was to further analyse these previous experimental data by developing a mathematical modelling analysis designed for fitting the 3 curves from a general equation. After adjusting equation parameters for each curve, fitting equation outcomes on experimental data yielded high correlation coefficients of 0.9997 – 0.9995 – 0.9962, respectively. A model-based interpretation of olfactory-habituation centroid curves is proposed suggesting that they result from the effect of 2 separate processes that act simultaneously. We suggest that the first process is unlikely related to the olfactory habituation itself, and, rather, is of unclear origin. The second process seems to play a major role in the degree of OH and cannot be assigned, a priori, to either peripheral or central adaptation, respectively.

Details

Original languageEnglish
Article number112751
JournalPhysiology and Behavior
Volume214
Publication statusPublished - 1 Feb 2020
Peer-reviewedYes

External IDs

PubMed 31783050
ORCID /0000-0001-9713-0183/work/151982972

Keywords

Keywords

  • Curve fitting, Human olfactory habituation, Modelling analysis