Evidence map›Paper›PMID 40527290›Full record

ArticleCell reports methods2025

Mountable miniature microphones to identify and assign mouse ultrasonic vocalizations.

Elena N Waidmann, Victor H Y Yang, Erica Luo, William C Doyle, Erich D Jarvis

Abstract read
In one paragraph

Article in Cell reports methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. A Cortical Site that Encodes Vocal Expression and Reception.bioRxiv : the preprint server for biology · 2024
    Article
  9. 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.

Elena N WaidmannLaboratory of Neurogenetics of Language, The Rockefeller University, New York, NY, USA. Electronic address: ewaidmann@rockefeller.edu.
Victor H Y YangLaboratory of Neurogenetics of Language, The Rockefeller University, New York, NY, USA.
Erica LuoLaboratory of Neurogenetics of Language, The Rockefeller University, New York, NY, USA.
William C DoyleLaboratory of Host-Pathogen Biology, The Rockefeller University, New York, NY, USA.
Erich D JarvisLaboratory of Neurogenetics of Language, The Rockefeller University, New York, NY, USA; Howard Hughes Medical Institute, Chevy Chase, MD, USA. Electronic address: ejarvis@rockefeller.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mouse ultrasonic vocalizations (USVs) are a promising model for studying vocal production. Although, in courtship interactions, males emit the majority of the USVs, female mice also produce USVs. In order to study the mechanisms of vocal production in freely behaving mice, it is necessary to identify the individual responsible for each syllable. Prior studies have used microphone arrays, but these are costly and require complex analyses to pinpoint the vocalizer. Here, we developed an inexpensive, ultrasound-sensitive wearable microphone to identify USVs from individual mice in socializing pairs. We reliably detected USVs and assigned 90% to a specific animal in a pair based on relative amplitude differences. When paired with video tracking, we increased the assigned percentage (97%) and described the courtship behavioral landscape in which USVs occur. These results offer a low-cost, simple method to study social communication between pairs of mice and other ultrasonically vocalizing animals.

Indexed as

UltrasonicsVocalization, AnimalAnimalsCourtshipFemaleMaleMiceMice, Inbred C57BLCP: Neurosciencemouse vocalizationssocial behaviorUSV assignmentUSV microphones

Identifiers

PMID40527290
PMCPMC12272246

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.