May 15, 2019 Preprint Open Access

Höchenberger, Richard; Ohla, Kathrin

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  <identifier identifierType="DOI">10.5281/zenodo.2840358</identifier>
  <creators>
    <creator>
      <creatorName>Höchenberger, Richard</creatorName>
      <givenName>Richard</givenName>
      <familyName>Höchenberger</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-0380-4798</nameIdentifier>
      <affiliation>Institute of Neuroscience and Medicine INM-3, Research Center Jülich, Jülich, Germany; Psychophysiology of Food Perception, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany</affiliation>
    </creator>
    <creator>
      <creatorName>Ohla, Kathrin</creatorName>
      <givenName>Kathrin</givenName>
      <familyName>Ohla</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-7265-0449</nameIdentifier>
      <affiliation>Institute of Neuroscience and Medicine INM-3, Research Center Jülich, Jülich, Germany; Psychophysiology of Food Perception, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Estimation of olfactory sensitivity using a Bayesian adaptive method</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <subjects>
    <subject>smell sensitivity</subject>
    <subject>olfaction</subject>
    <subject>threshold</subject>
    <subject>staircase</subject>
    <subject>QUEST</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2019-05-15</date>
  </dates>
  <resourceType resourceTypeGeneral="Preprint"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/2840358</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.2548620</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;The ability to smell is crucial for most species as it enables the detection of environmental&amp;nbsp;threats like smoke, fosters social interactions, and contributes to the sensory evaluation of food&amp;nbsp;and eating behavior. The high prevalence of smell disturbances throughout the life span calls&amp;nbsp;for a continuous effort to improve tools for quick and reliable assessment of olfactory function.&amp;nbsp;Odor-dispensing pens, called Sniffin&amp;rsquo; Sticks, are an established method to deliver olfactory stimuli&amp;nbsp;during diagnostic evaluation. We tested the suitability of a Bayesian adaptive algorithm (QUEST) to&amp;nbsp;estimate olfactory sensitivity using Sniffin&amp;rsquo; Sticks by comparing QUEST sensitivity thresholds with&amp;nbsp;those obtained using a procedure based on an established standard staircase protocol. Thresholds&amp;nbsp;were measured twice with both procedures in two sessions (Test and Retest). Overall, both procedures&amp;nbsp;exhibited considerable overlap with QUEST displaying slightly higher test-retest correlations, less&amp;nbsp;variability between measurements, and reduced testing duration. Notably, participants were more&amp;nbsp;frequently presented with the highest concentration during the QUEST which may foster adaptation&amp;nbsp; and habituation effects. We conclude that further research is required to better understand and&amp;nbsp;optimize the procedure for&amp;nbsp;assessment of olfactory performance.&lt;/p&gt;</description>
  </descriptions>
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