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Faster, Deeper, Better: The Impact of Sniffing Modulation on Bulbar Olfactory Processing

Overview of attention for article published in PLOS ONE, July 2012
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Title
Faster, Deeper, Better: The Impact of Sniffing Modulation on Bulbar Olfactory Processing
Published in
PLOS ONE, July 2012
DOI 10.1371/journal.pone.0040927
Pubmed ID
Authors

Frédéric Esclassan, Emmanuelle Courtiol, Marc Thévenet, Samuel Garcia, Nathalie Buonviso, Philippe Litaudon

Abstract

A key feature of mammalian olfactory perception is that sensory input is intimately related to respiration. Different authors have considered respiratory dynamics not only as a simple vector for odor molecules but also as an integral part of olfactory perception. Thus, rats adapt their sniffing strategy, both in frequency and flow rate, when performing odor-related tasks. The question of how frequency and flow rate jointly impact the spatio-temporal representation of odor in the olfactory bulb (OB) has not yet been answered. In the present paper, we addressed this question using a simulated nasal airflow protocol on anesthetized rats combined with voltage-sensitive dye imaging (VSDi) of odor-evoked OB glomerular maps. Glomerular responses displayed a tonic component during odor stimulation with a superimposed phasic component phase-locked to the sampling pattern. We showed that a high sniffing frequency (10 Hz) retained the ability to shape OB activity and that the tonic and phasic components of the VSDi responses were dependent on flow rate and inspiration volume, respectively. Both sniffing parameters jointly affected OB responses to odor such that the reduced activity level induced by a frequency increase was compensated by an increased flow rate.

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Geographical breakdown

Country Count As %
United Kingdom 2 4%
Portugal 1 2%
France 1 2%
Germany 1 2%
Greece 1 2%
United States 1 2%
Unknown 38 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 31%
Student > Ph. D. Student 8 18%
Student > Master 7 16%
Student > Bachelor 3 7%
Student > Postgraduate 2 4%
Other 5 11%
Unknown 6 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 36%
Neuroscience 13 29%
Engineering 3 7%
Biochemistry, Genetics and Molecular Biology 2 4%
Psychology 2 4%
Other 3 7%
Unknown 6 13%