Literature DB >> 10861522

Modular representations of odorants in the glomerular layer of the rat olfactory bulb and the effects of stimulus concentration.

B A Johnson1, M Leon.   

Abstract

To study the mechanism whereby odorants are encoded in the nervous system, we studied the glomerular-layer activity patterns in the rat olfactory bulb evoked by closely related odorants from different chemical families. These odorants had a common straight-chain hydrocarbon structure, but differed systematically in their functional groups. Neural activity was mapped across the entire glomerular layer by using the ¿(14)C2-deoxyglucose method. Group responses were averaged and compared by using data matrices. The glomerular activity patterns that resulted from this analysis were comprised of modules. Unique combinations of modules were activated by each odorant, demonstrating what may be part of the neural code for odorants. Most of the modules were clustered together in the bulb, perhaps providing for enhanced contrast between related chemicals by means of lateral inhibition. We also determined whether changes in odorant concentration would affect spatial patterns of glomerular activity. Two odorants, pentanal and 2-hexanone, evoked different patterns at increased concentrations, with additional glomeruli being recruited at a great distance from glomeruli in which activity was evoked at lower concentrations. Humans report that both of these odorants change in perceived odor with increasing concentration. Three other odorants (pentanoic acid, methyl pentanoate, and pentanol) did not recruit new areas of glomerular activation with increasing concentration, and humans do not report a changed odor across concentrations of these odorants. The results suggest that changes in modular glomerular activity patterns could underlie altered odor perception across odorant concentrations, and they provide additional support for a combinatorial, spatially based code in the olfactory system. Copyright 2000 Wiley-Liss, Inc.

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Year:  2000        PMID: 10861522     DOI: 10.1002/1096-9861(20000710)422:4<496::aid-cne2>3.0.co;2-4

Source DB:  PubMed          Journal:  J Comp Neurol        ISSN: 0021-9967            Impact factor:   3.215


  84 in total

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Journal:  J Neurosci       Date:  2001-04-01       Impact factor: 6.167

2.  Perceptual correlates of neural representations evoked by odorant enantiomers.

Authors:  C Linster; B A Johnson; E Yue; A Morse; Z Xu; E E Hingco; Y Choi; M Choi; A Messiha; M Leon
Journal:  J Neurosci       Date:  2001-12-15       Impact factor: 6.167

3.  Odorant feature detection: activity mapping of structure response relationships in the zebrafish olfactory bulb.

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Journal:  J Neurosci       Date:  2001-11-01       Impact factor: 6.167

4.  Sensory experience selectively regulates transmitter synthesis enzymes in interglomerular circuits.

Authors:  S Parrish-Aungst; E Kiyokage; G Szabo; Y Yanagawa; M T Shipley; A C Puche
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5.  Olfactory bulb glomeruli: external tufted cells intrinsically burst at theta frequency and are entrained by patterned olfactory input.

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Journal:  J Neurosci       Date:  2004-02-04       Impact factor: 6.167

6.  Configurational and elemental odor mixture perception can arise from local inhibition.

Authors:  Christiane Linster; Thomas A Cleland
Journal:  J Comput Neurosci       Date:  2004 Jan-Feb       Impact factor: 1.621

7.  Learning modulates the ensemble representations for odors in primary olfactory networks.

Authors:  Kevin C Daly; Thomas A Christensen; Hong Lei; Brian H Smith; John G Hildebrand
Journal:  Proc Natl Acad Sci U S A       Date:  2004-07-01       Impact factor: 11.205

8.  Informatics approaches to functional MRI odor mapping of the rodent olfactory bulb: OdorMapBuilder and OdorMapDB.

Authors:  Nian Liu; Fuqiang Xu; Luis Marenco; Fahmeed Hyder; Perry Miller; Gordon M Shepherd
Journal:  Neuroinformatics       Date:  2004

9.  Cluster analysis of rat olfactory bulb responses to diverse odorants.

Authors:  Matteo Falasconi; Agustin Gutierrez-Galvez; Michael Leon; Brett A Johnson; Santiago Marco
Journal:  Chem Senses       Date:  2012-03-29       Impact factor: 3.160

10.  A honeybee's ability to learn, recognize, and discriminate odors depends upon odor sampling time and concentration.

Authors:  Geraldine A Wright; Michelle Carlton; Brian H Smith
Journal:  Behav Neurosci       Date:  2009-02       Impact factor: 1.912

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