Evidence map›Paper›PMID 22459165›Full record

ArticleChemical senses2012

Cluster analysis of rat olfactory bulb responses to diverse odorants.

Matteo Falasconi, Agustin Gutierrez-Galvez, Michael Leon, Brett A Johnson, Santiago Marco

Abstract read
In one paragraph

Article in Chemical senses, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. In vivo identification of eugenol-responsive and muscone-responsive mouse odorant receptors.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2014
    Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Matteo FalasconiDepartment of Chemistry and Physics, University of Brescia and CNR-IDASC, Via Valotti 9, 25133 Brescia, Italy.
Agustin Gutierrez-Galvez
Michael Leon
Brett A Johnson
Santiago Marco

Funding

NEURAL PROCESSES IN OLFACTORY CODINGR01DC003545 · NIDCD · UNIVERSITY OF CALIFORNIA-IRVINE · PI LEON, MICHAEL · 1998 to 2007
$2.8M
Models of Sensory CodingR01DC006391 · NIDCD · UNIVERSITY OF CALIFORNIA-IRVINE · PI LEON, MICHAEL · 2004 to 2008
$1.3M
Neuroinformatic Analysis of Olfactory CodingR01DC006516 · NIDCD · UNIVERSITY OF CALIFORNIA-IRVINE · PI LEON, MICHAEL · 2004 to 2006
$783k
NIDCD NIH HHS DC006391NIDCD NIH HHS DC006516NIDCD NIH HHS DC03545
6 · The paper itself

Abstract

In an effort to deepen our understanding of mammalian olfactory coding, we have used an objective method to analyze a large set of odorant-evoked activity maps collected systematically across the rat olfactory bulb to determine whether such an approach could identify specific glomerular regions that are activated by related odorants. To that end, we combined fuzzy c-means clustering methods with a novel validity approach based on cluster stability to evaluate the significance of the fuzzy partitions on a data set of glomerular layer responses to a large diverse group of odorants. Our results confirm the existence of glomerular response clusters to similar odorants. They further indicate a partial hierarchical chemotopic organization wherein larger glomerular regions can be subdivided into smaller areas that are rather specific in their responses to particular functional groups of odorants. These clusters bear many similarities to, as well as some differences from, response domains previously proposed for the glomerular layer of the bulb. These data also provide additional support for the concept of an identity code in the mammalian olfactory system.

Indexed as

SmellAnimalsCluster AnalysisDeoxyglucoseOlfactory BulbPrincipal Component AnalysisRatsDeoxyglucose

Identifiers

PMID22459165
PMCPMC3529619

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.