Evidence map›Paper›PMID 29374137›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2018

Inhalation Frequency Controls Reformatting of Mitral/Tufted Cell Odor Representations in the Olfactory Bulb.

Marta Díaz-Quesada, Isaac A Youngstrom, Yusuke Tsuno, Kyle R Hansen, Michael N Economo, Matt Wachowiak

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

19 citing papers in PubMed, 39 citations in OpenAlex.

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  7. Review
  8. Coupling of Mouse Olfactory Bulb Projection Neurons to Fluctuating Odor Pulses.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
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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

6 authors at 2 institutions in 2 countries.

Marta Díaz-QuesadaDepartments of Neurobiology and Anatomy and.
Isaac A YoungstromDepartments of Neurobiology and Anatomy and.
Yusuke TsunoDepartments of Neurobiology and Anatomy and.ORCID 0000-0001-8733-1301
Kyle R HansenBioengineering, University of Utah, Salt Lake City, Utah 84112.ORCID 0000-0003-2782-7289
Michael N EconomoDepartments of Neurobiology and Anatomy and.
Matt WachowiakDepartments of Neurobiology and Anatomy and matt.wachowiak@utah.edu.ORCID 0000-0003-4508-9793
Institute of Neurobiology · BGUniversity of Utah · US

Funding

Dynamics of Glomerular Coding in the Olfactory BulbR01DC006441 · NIDCD · UNIVERSITY OF UTAH · PI WACHOWIAK, DALE M · 2004 to 2018
$4.9M
Target-Defined Parallel Pathways in the Olfactory SystemR01DC013076 · NIDCD · UNIVERSITY OF UTAH · PI WACHOWIAK, DALE M · 2013 to 2017
$1.6M
NIDCD NIH HHS R01 DC006441NIDCD NIH HHS R01 DC013076
6 · The paper itself

Abstract

In mammals, olfactory sensation depends on inhalation, which controls activation of sensory neurons and temporal patterning of central activity. Odor representations by mitral and tufted (MT) cells, the main output from the olfactory bulb (OB), reflect sensory input as well as excitation and inhibition from OB circuits, which may change as sniff frequency increases. To test the impact of sampling frequency on MT cell odor responses, we obtained whole-cell recordings from MT cells in anesthetized male and female mice while varying inhalation frequency via tracheotomy, allowing comparison of inhalation-linked responses across cells. We characterized frequency effects on MT cell responses during inhalation of air and odorants using inhalation pulses and also "playback" of sniffing recorded from awake mice. Inhalation-linked changes in membrane potential were well predicted across frequency from linear convolution of 1 Hz responses; and, as frequency increased, near-identical temporal responses could emerge from depolarizing, hyperpolarizing, or multiphasic MT responses. However, net excitation was not well predicted from 1 Hz responses and varied substantially across MT cells, with some cells increasing and others decreasing in spike rate. As a result, sustained odorant sampling at higher frequencies led to increasing decorrelation of the MT cell population response pattern over time. Bulk activation of sensory inputs by optogenetic stimulation affected MT cells more uniformly across frequency, suggesting that frequency-dependent decorrelation emerges from odor-specific patterns of activity in the OB network. These results suggest that sampling behavior alone can reformat early sensory representations, possibly to optimize sensory perception during repeated sampling.

Indexed as

InhalationAction PotentialsAnimalsFemaleMaleMiceMice, Inbred C57BLOdorantsOlfactory BulbOlfactory PathwaysOlfactory PerceptionSmellcodingin vivooptogeneticspatch clampsniffing

Identifiers

PMID29374137
PMCPMC5830510
OpenAlexW2784426965

What OpenQuestion holds

Textmetadata
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.