Evidence map›Paper›PMID 38496526›Full record

ArticlebioRxiv : the preprint server for biology2024

The spiking output of the mouse olfactory bulb encodes large-scale temporal features of natural odor environments.

Suzanne M Lewis, Lucas M Suarez, Nicola Rigolli, Kevin M Franks, Nicholas A Steinmetz, David H Gire

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. 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

6 authors at 3 institutions in 3 countries.

Suzanne M LewisDepartment of Psychology, University of Washington, Seattle, WA, United States.
Lucas M SuarezDepartment of Psychology, University of Washington, Seattle, WA, United States.
Nicola RigolliLaboratoire de Physique, École Normale Supérieure (LPENS), Paris, France.ORCID 0000-0002-0734-2105
Kevin M FranksDepartment of Neurobiology, Duke University, Durham, NC, USA.
Nicholas A SteinmetzDepartment of Biological Structure, University of Washington, Seattle, WA, United States.ORCID 0000-0001-7029-2908
David H GireDepartment of Psychology, University of Washington, Seattle, WA, United States.ORCID 0000-0003-4119-4270
University of Washington · USDuke University · USÉcole Normale Supérieure - PSL · FR

Funding

Odor Coding in Piriform CortexR01DC015525 · NIDCD · DUKE UNIVERSITY · PI Kevin Franks · 2016 to 2026
$4.1M
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
NIDCD NIH HHS R01 DC015525NIDCD NIH HHS R01 DC018789
6 · The paper itself

Abstract

In natural odor environments, odor travels in plumes. Odor concentration dynamics change in characteristic ways across the width and length of a plume. Thus, spatiotemporal dynamics of plumes have informative features for animals navigating to an odor source. Population activity in the olfactory bulb (OB) has been shown to follow odor concentration across plumes to a moderate degree (Lewis et al., 2021). However, it is unknown whether the ability to follow plume dynamics is driven by individual cells or whether it emerges at the population level. Previous research has explored the responses of individual OB cells to isolated features of plumes, but it is difficult to adequately sample the full feature space of plumes as it is still undetermined which features navigating mice employ during olfactory guided search. Here we released odor from an upwind odor source and simultaneously recorded both odor concentration dynamics and cellular response dynamics in awake, head-fixed mice. We found that longer timescale features of odor concentration dynamics were encoded at both the cellular and population level. At the cellular level, responses were elicited at the beginning of the plume for each trial, signaling plume onset. Plumes with high odor concentration elicited responses at the end of the plume, signaling plume offset. Although cellular level tracking of plume dynamics was observed to be weak, we found that at the population level, OB activity distinguished whiffs and blanks (accurately detected odor presence versus absence) throughout the duration of a plume. Even ~20 OB cells were enough to accurately discern odor presence throughout a plume. Our findings indicate that the full range of odor concentration dynamics and high frequency fluctuations are not encoded by OB spiking activity. Instead, relatively lower-frequency temporal features of plumes, such as plume onset, plume offset, whiffs, and blanks, are represented in the OB.

Identifiers

PMID38496526
PMCPMC10942328
OpenAlexW4392446311

What OpenQuestion holds

Textmetadata
LicenceCC BY-ND
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.