Evidence map›Paper›PMID 20005825›Full record

ArticleNeuron2009

Frequency transitions in odor-evoked neural oscillations.

Iori Ito, Maxim Bazhenov, Rose Chik-ying Ong, Baranidharan Raman, Mark Stopfer

Open access · bronzeAbstract read
In one paragraph

Article in Neuron, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
3.2field-weighted citation impact, top 8% of its field
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

46 citing papers in PubMed, 74 citations in OpenAlex.

  1. Article
  2. Article
  3. Fly seizure EEG: field potential activity in theJournal of neurogenetics · 2021
    Article
  4. Adaptive temporal processing of odor stimuli.Cell and tissue research · 2021
    Review
  5. Article
  6. Article
  7. Odor Stimuli: Not Just Chemical Identity.Frontiers in physiology · 2019
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Oscillatory integration windows in neurons.Nature communications · 2016
    Article
  13. Linking dynamics of the inhibitory network to the input structure.Journal of computational neuroscience · 2016
    Article
  14. Article
  15. Article
  16. Review
  17. Spatiotemporal Coding of Individual Chemicals by the Gustatory System.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2015
    Article
  18. Article
  19. Trade-off between information format and capacity in the olfactory system.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2015
    Article
  20. Learning modifies odor mixture processing to improve detection of relevant components.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2015
    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 at 4 institutions in 2 countries.

Iori ItoNational Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20892, USA.
Maxim Bazhenov
Rose Chik-ying Ong
Baranidharan Raman
Mark Stopfer
National Institutes of Health · USChinese University of Hong Kong · CNEunice Kennedy Shriver National Institute of Child Health and Human Development · USUniversity of California, Riverside · US

Funding

Sensory Coding by Ensembles of Neurons.ZIAHD008760 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI STOPFER, MARK A · 2009 to 2025
$26.3M
Intramural NIH HHS Z99 HD999999Intramural NIH HHS ZIA HD008760
6 · The paper itself

Abstract

In many species, sensory stimuli elicit the oscillatory synchronization of groups of neurons. What determines the properties of these oscillations? In the olfactory system of the moth, we found that odors elicited oscillatory synchronization through a neural mechanism like that described in locust and Drosophila. During responses to long odor pulses, oscillations suddenly slowed as net olfactory receptor neuron (ORN) output decreased; thus, stimulus intensity appeared to determine oscillation frequency. However, changing the concentration of the odor had little effect upon oscillatory frequency. Our recordings in vivo and computational models based on these results suggested that the main effect of increasing odor concentration was to recruit additional, less well-tuned ORNs whose firing rates were tightly constrained by adaptation and saturation. Thus, in the periphery, concentration is encoded mainly by the size of the responsive ORN population, and oscillation frequency is set by the adaptation and saturation of this response.

Indexed as

OdorantsAdaptation, BiologicalAnalysis of VarianceAnimalsBiological ClocksBrain MappingDose-Response Relationship, DrugElectrophysiologyEvoked PotentialsFemaleMaleManducaMembrane PotentialsModels, NeurologicalMushroom BodiesNerve Net

Identifiers

PMID20005825
PMCPMC2799931
OpenAlexW2142941015

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.