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@ARTICLE{Torske:910584,
author = {Torske, A. and Koch, K. and Eickhoff, Simon and Freiherr,
J.},
title = {{L}ocalizing the human brain response to olfactory
stimulation: {A} meta-analytic approach},
journal = {Neuroscience $\&$ biobehavioral reviews},
volume = {134},
issn = {0149-7634},
address = {Amsterdam [u.a.]},
publisher = {Elsevier Science},
reportid = {FZJ-2022-03962},
pages = {104512 -},
year = {2022},
abstract = {The human sense of smell and the ability to detect and
distinguish odors allows for the extraction of valuable
information from the environment, thereby driving human
behavior. Not only can the sense of smell help to monitor
the safety of inhaled air, but it can also help to evaluate
the edibility of food. Therefore, in an effort to further
our understanding of the human sense of smell, the aim of
this meta-analysis was to provide the scientific community
with activation probability maps of the functional anatomy
of the olfactory system, in addition to separate activation
maps for specific odor categories (pleasant, food, and
aversive odors). The activation likelihood estimation (ALE)
method was utilized to quantify all relevant and available
data to perform a formal statistical analysis on the
inter-study concordance of various odor categories. A total
of 81 studies (108 contrasts, 1053 foci) fulfilled our
inclusion criteria. Significant ALE peaks were observed in
all odor categories in brain areas typically associated with
the functional neuroanatomy of olfaction including the
piriform cortex, amygdala, insula, and orbitofrontal cortex,
amongst others. Additional contrast analyses indicate clear
differences in neural activation patterns between odor
categories.},
cin = {INM-7},
ddc = {610},
cid = {I:(DE-Juel1)INM-7-20090406},
pnm = {5251 - Multilevel Brain Organization and Variability
(POF4-525)},
pid = {G:(DE-HGF)POF4-5251},
typ = {PUB:(DE-HGF)16},
pubmed = {34968523},
UT = {WOS:000762004800006},
doi = {10.1016/j.neubiorev.2021.12.035},
url = {https://juser.fz-juelich.de/record/910584},
}