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@ARTICLE{Ohla:862960,
author = {Ohla, Kathrin and Höchenberger, Richard},
title = {{E}stimation of {O}lfactory {S}ensitivity {U}sing a
{B}ayesian {A}daptive {M}ethod},
journal = {Nutrients},
volume = {11},
number = {6},
issn = {2072-6643},
address = {Basel},
publisher = {MDPI},
reportid = {FZJ-2019-03121},
pages = {1278 -},
year = {2019},
abstract = {The ability to smell is crucial for most species as it
enables the detection of environmental threats like smoke,
it fosters social interactions, and it contributes to the
sensory evaluation of food and eating behavior. The high
prevalence for smell disturbances throughout the life span
call for a continuous effort to improve tools for the quick
and reliable assessment of the ability to smell.
Odor-dispensing pens, called Sniffin' Sticks, are an
established tool to test olfactory function. We tested the
suitability of a Bayesian adaptive algorithm (QUEST) to
estimate olfactory sensitivity using Sniffin' Sticks by
comparing its results with those obtained via the
established standard protocol, which relies on a staircase
procedure. Thresholds were measured according to both
procedures in two sessions (Test and Retest). The staircase
successfully yielded threshold estimates in more cases than
QUEST. Yet, Test-Retest correlations showed stronger
reliability for QUEST (ρ = 0.70) than for staircase
thresholds (ρ = 0.50). A strong correlation (ρ = 0.80)
between the results of both procedures indicated good
validity of QUEST. We conclude that the QUEST procedure may
offer quicker convergence and reduced testing time in some
cases, but fail to yield a threshold estimate in others.},
cin = {INM-3},
ddc = {610},
cid = {I:(DE-Juel1)INM-3-20090406},
pnm = {572 - (Dys-)function and Plasticity (POF3-572)},
pid = {G:(DE-HGF)POF3-572},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:31195704},
UT = {WOS:000474936700084},
doi = {10.3390/nu11061278},
url = {https://juser.fz-juelich.de/record/862960},
}