Evidence map›Paper›PMID 39666460›Full record

ArticleSTAR protocols2024

Protocol for identifying sound-activated neurons in the inferior colliculus by cFos immunostaining.

Beatriz Maio, Nagore Elu, Cristina Martinez-Gonzalez, Emily K Osterweil, Susana R Louros

Abstract read
In one paragraph

Article in STAR protocols, 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.

  1. bioRxiv : the preprint server for biology · 2026
    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.

Beatriz MaioCentre for Discovery Brain Sciences, University of Edinburgh, Edinburgh EH8 9XD, UK; Simons Initiative for the Developing Brain, Patrick Wild Centre, University of Edinburgh, Edinburgh, UK.
Nagore EluCentre for Discovery Brain Sciences, University of Edinburgh, Edinburgh EH8 9XD, UK; Simons Initiative for the Developing Brain, Patrick Wild Centre, University of Edinburgh, Edinburgh, UK.
Cristina Martinez-GonzalezCentre for Discovery Brain Sciences, University of Edinburgh, Edinburgh EH8 9XD, UK; Simons Initiative for the Developing Brain, Patrick Wild Centre, University of Edinburgh, Edinburgh, UK.
Emily K OsterweilCentre for Discovery Brain Sciences, University of Edinburgh, Edinburgh EH8 9XD, UK; Simons Initiative for the Developing Brain, Patrick Wild Centre, University of Edinburgh, Edinburgh, UK; Rosamund Stone Zander Translational Neuroscience Center, F. M. Kirby Center, Department of Neurology, Harvard Medical School, Boston Children's Hospital, Boston, MA, USA. Electronic address: emily.osterweil@childrens.harvard.edu.
Susana R LourosCentre for Discovery Brain Sciences, University of Edinburgh, Edinburgh EH8 9XD, UK; Simons Initiative for the Developing Brain, Patrick Wild Centre, University of Edinburgh, Edinburgh, UK. Electronic address: slouros@ed.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

cfos is an immediate early gene commonly used to identify neuronal activation. After loud sound stimulation, neurons in the inferior colliculus are activated and cFos is expressed in the nucleus. Here, we present a protocol for quantifying neuronal activity in response to auditory stimulation using cFos immunostaining in the mouse inferior colliculus. We then detail procedures for image acquisition and analysis. For complete details on the use and execution of this protocol, please refer to Louros et al.

Indexed as

Inferior ColliculiNeuronsAcoustic StimulationAnimalsImmunohistochemistryMiceSoundmicroscopymodel organismsneuroscience

Identifiers

PMID39666460
PMCPMC11697561

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.