May 15, 2019 Preprint Open Access

Höchenberger, Richard; Ohla, Kathrin

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    <subfield code="a">Estimation of olfactory sensitivity using a Bayesian adaptive method</subfield>
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    <subfield code="a">&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;</subfield>
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