Literature DB >> 16510844

Temporal integrity of an airborne odor stimulus is greatly affected by physical aspects of the odor delivery system.

Richard S Vetter1, Amy E Sage, Kristine A Justus, Ring T Cardé, C Giovanni Galizia.   

Abstract

There is currently a debate about the role played by temporal patterns in neural activity in olfactory coding. An accurate analysis of this question, however, is only possible if the temporal properties of a stimulus itself are well defined. So far, no technique with sufficient temporal resolution has been available to accomplish this. Using a photoionization detector (PID), we show that the configuration of the odor delivery apparatus and the airflow settings greatly influence the integrity of a stimulus profile within an odor delivery apparatus. In a situation where pulsatile odor stimuli are applied to a stationary preparation, we tested the effect of 1) axial and off-center location within the airstream, 2) airflow of the odor delivery, 3) exit tube length, 4) exit tube diameter, 5) orientation of the odor delivery device in relation to the exhaust flow, and 6) exhaust tube air speed. This has important implications for the study of time in olfaction; significant planning must be incorporated into the design of the experiment to provide a well-defined odor delivery system.

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Year:  2006        PMID: 16510844     DOI: 10.1093/chemse/bjj040

Source DB:  PubMed          Journal:  Chem Senses        ISSN: 0379-864X            Impact factor:   3.160


  11 in total

1.  Temporal coding of odor mixtures in an olfactory receptor neuron.

Authors:  Chih-Ying Su; Carlotta Martelli; Thierry Emonet; John R Carlson
Journal:  Proc Natl Acad Sci U S A       Date:  2011-03-07       Impact factor: 11.205

2.  Precise olfactory responses tile the sniff cycle.

Authors:  Roman Shusterman; Matthew C Smear; Alexei A Koulakov; Dmitry Rinberg
Journal:  Nat Neurosci       Date:  2011-07-17       Impact factor: 24.884

3.  Mind the gap: olfactory trace conditioning in honeybees.

Authors:  Paul Szyszka; Christiane Demmler; Mariann Oemisch; Ludwig Sommer; Stephanie Biergans; Benjamin Birnbach; Ana F Silbering; C Giovanni Galizia
Journal:  J Neurosci       Date:  2011-05-18       Impact factor: 6.167

4.  Olfactory bulb coding of odors, mixtures and sniffs is a linear sum of odor time profiles.

Authors:  Priyanka Gupta; Dinu F Albeanu; Upinder S Bhalla
Journal:  Nat Neurosci       Date:  2015-01-12       Impact factor: 24.884

5.  Elemental and configural olfactory coding by antennal lobe neurons of the honeybee (Apis mellifera).

Authors:  Anneke Meyer; C Giovanni Galizia
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2011-11-15       Impact factor: 1.836

6.  Intensity invariant dynamics and odor-specific latencies in olfactory receptor neuron response.

Authors:  Carlotta Martelli; John R Carlson; Thierry Emonet
Journal:  J Neurosci       Date:  2013-04-10       Impact factor: 6.167

7.  The speed of smell: odor-object segregation within milliseconds.

Authors:  Paul Szyszka; Jacob S Stierle; Stephanie Biergans; C Giovanni Galizia
Journal:  PLoS One       Date:  2012-04-27       Impact factor: 3.240

8.  Predicting olfactory receptor neuron responses from odorant structure.

Authors:  Michael Schmuker; Marien de Bruyne; Melanie Hähnel; Gisbert Schneider
Journal:  Chem Cent J       Date:  2007-05-04       Impact factor: 4.215

9.  Carbon dioxide and fruit odor transduction in Drosophila olfactory neurons. What controls their dynamic properties?

Authors:  Andrew S French; Shannon Meisner; Chih-Ying Su; Päivi H Torkkeli
Journal:  PLoS One       Date:  2014-01-21       Impact factor: 3.240

10.  Odor detection in Manduca sexta is optimized when odor stimuli are pulsed at a frequency matching the wing beat during flight.

Authors:  Kevin C Daly; Faizan Kalwar; Mandy Hatfield; Erich Staudacher; Samual P Bradley
Journal:  PLoS One       Date:  2013-11-21       Impact factor: 3.240

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