Evidence map›Paper›PMID 34012385›Full record

ArticleFrontiers in cellular neuroscience2021

Plume Dynamics Structure the Spatiotemporal Activity of Mitral/Tufted Cell Networks in the Mouse Olfactory Bulb.

Suzanne M Lewis, Lai Xu, Nicola Rigolli, Mohammad F Tariq, Lucas M Suarez, Merav Stern, Agnese Seminara, David H Gire

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
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  8. Odor encoding by signals in the olfactory bulb.Journal of neurophysiology · 2023
    Article
  9. Article
  10. Active sensing in a dynamic olfactory world.Journal of computational neuroscience · 2022
    Article
  11. 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

8 authors at 4 institutions in 3 countries.

Suzanne M LewisDepartment of Psychology, University of Washington, Seattle, WA, United States.
Lai XuDepartment of Psychology, University of Washington, Seattle, WA, United States.
Nicola RigolliDipartimento di Fisica, Istituto Nazionale Fisica Nucleare (INFN) Genova, Universitá di Genova, Genova, Italy.
Mohammad F TariqGraduate Program in Neuroscience, University of Washington, Seattle, WA, United States.
Lucas M SuarezDepartment of Psychology, University of Washington, Seattle, WA, United States.
Merav SternDepartment of Applied Mathematics, University of Washington, Seattle, WA, United States.
Agnese SeminaraCNRS, Institut de Physique de Nice, Université Côte d'Azur, Nice, France.
David H GireDepartment of Psychology, University of Washington, Seattle, WA, United States.
University of Washington · USIstituto Nazionale di Fisica Nucleare, Sezione di Genova · ITUniversité Côte d'Azur · FRUniversity of Washington Applied Physics Laboratory · US

Funding

Navigation with complex odor dynamics: computational principles and neural circuit implementation in miceR01DC018789 · NIDCD · UNIVERSITY OF WASHINGTON · PI GIRE, DAVID HENRY · 2020 to 2024
$1.8M
Neural circuit mechanisms of odor localization in miceR00DC013305 · NIDCD · UNIVERSITY OF WASHINGTON · PI GIRE, DAVID HENRY · 2015 to 2018
$796k
NIDCD NIH HHS R00 DC013305NIDCD NIH HHS R01 DC018789
6 · The paper itself

Abstract

Although mice locate resources using turbulent airborne odor plumes, the stochasticity and intermittency of fluctuating plumes create challenges for interpreting odor cues in natural environments. Population activity within the olfactory bulb (OB) is thought to process this complex spatial and temporal information, but how plume dynamics impact odor representation in this early stage of the mouse olfactory system is unknown. Limitations in odor detection technology have made it difficult to measure plume fluctuations while simultaneously recording from the mouse's brain. Thus, previous studies have measured OB activity following controlled odor pulses of varying profiles or frequencies, but this approach only captures a subset of features found within olfactory plumes. Adequately sampling this feature space is difficult given a lack of knowledge regarding which features the brain extracts during exposure to natural olfactory scenes. Here we measured OB responses to naturally fluctuating odor plumes using a miniature, adapted odor sensor combined with wide-field GCaMP6f signaling from the dendrites of mitral and tufted (MT) cells imaged in olfactory glomeruli of head-fixed mice. We precisely tracked plume dynamics and imaged glomerular responses to this fluctuating input, while varying flow conditions across a range of ethologically-relevant values. We found that a consistent portion of MT activity in glomeruli follows odor concentration dynamics, and the strongest responding glomeruli are the best at following fluctuations within odor plumes. Further, the reliability and average response magnitude of glomerular populations of MT cells are affected by the flow condition in which the animal samples the plume, with the fidelity of plume following by MT cells increasing in conditions of higher flow velocity where odor dynamics result in intermittent whiffs of stronger concentration. Thus, the flow environment in which an animal encounters an odor has a large-scale impact on the temporal representation of an odor plume in the OB. Additionally, across flow conditions odor dynamics are a major driver of activity in many glomerular networks. Taken together, these data demonstrate that plume dynamics structure olfactory representations in the first stage of odor processing in the mouse olfactory system.

Indexed as

natural sensingolfactionolfactory navigationplume dynamicspopulation dynamicssensory processing

Identifiers

PMID34012385
PMCPMC8127944
OpenAlexW3158879636

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.