Evidence map›Paper›PMID 40093143›Full record

ArticlebioRxiv : the preprint server for biology2025

Evidence that interglomerular inhibition generates non-monotonic concentration-response relationships in mitral/tufted glomeruli in the mouse olfactory bulb.

Lee Min Leong, David Wharton, Narayan Subramanian, Bhargav Karamched, Richard Bertram, Douglas A Storace

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Lee Min LeongDepartment of Biological Science, Florida State University, Tallahassee, FL.ORCID 0009-0005-2169-0084
David WhartonDepartment of Mathematics, Florida State University, Tallahassee, FL.ORCID 0009-0000-5365-0056
Narayan SubramanianDepartment of Biological Science, Florida State University, Tallahassee, FL.
Bhargav KaramchedProgram in Neuroscience, Florida State University, Tallahassee, FL.ORCID 0000-0002-6926-7593
Richard BertramProgram in Neuroscience, Florida State University, Tallahassee, FL.ORCID 0000-0001-8577-2592
Douglas A StoraceDepartment of Biological Science, Florida State University, Tallahassee, FL.ORCID 0000-0002-3535-5472

Funding

Chemosensory Training Program (CTP)T32DC000044 · NIDCD · FLORIDA STATE UNIVERSITY · PI DEBRA Ann FADOOL · 1995 to 2026
$5.3M
Understanding functional transformations carried out by the bulbR01DC020519 · NIDCD · FLORIDA STATE UNIVERSITY · PI Douglas Anthony Storace · 2022 to 2026
$1.9M
NIDCD NIH HHS R01 DC020519NIDCD NIH HHS T32 DC000044
6 · The paper itself

Abstract

The role of intra- and interglomerular networks in the olfactory bulb (OB) in transforming olfactory receptor neuron (ORN) input across concentration changes remains poorly understood. We addressed this question by implementing a mathematical model of the OB input-output transformation in which the output of each glomerulus is a function of its ORN input, local and lateral inhibition. The model produced outputs with concentration-response relationships that depended on the input ORN Hill coefficient and half-activation value. Some glomeruli responded with monotonic increases or decreases, while others responded with non-monotonic decreases then increases or increased then decreased. The model yielded several novel predictions that challenged recent findings in the field, including the existence of an abundance of non-monotonic responses and that inhibition across the interglomerular network should increase with excitation. We tested these predictions using single and dual-color

Identifiers

PMID40093143
PMCPMC11908152

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.