Evidence map›Paper›PMID 28472651›Full record

ArticleNeuron2017

MUPET-Mouse Ultrasonic Profile ExTraction: A Signal Processing Tool for Rapid and Unsupervised Analysis of Ultrasonic Vocalizations.

Maarten Van Segbroeck, Allison T Knoll, Pat Levitt, Shrikanth Narayanan

Abstract read
In one paragraph

Article in Neuron, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers.

0numbers the graph read from it
0cells of the map it votes in
79citing 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

79 citing papers in PubMed.

  1. Article
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  11. A Cortical Site that Encodes Vocal Expression and Reception.bioRxiv : the preprint server for biology · 2024
    Article
  12. Article
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  14. Comparing behaviours induced by natural memory retrieval and optogenetic reactivation of an engram ensemble in mice.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  15. Article
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  17. Sex differences in offspring risk and resilience following 11β-hydroxylase antagonism in a rodent model of maternal immune activation.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Article
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  20. Review

19 more citing papers are in PubMed but not listed here.

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

4 authors.

Maarten Van SegbroeckDepartment of Electrical Engineering, University of Southern California, Los Angeles, CA 90089, USA.
Allison T KnollInstitute for the Developing Mind, Children's Hospital Los Angeles, Los Angeles, CA 90027, USA.
Pat LevittInstitute for the Developing Mind, Children's Hospital Los Angeles, Los Angeles, CA 90027, USA; Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA. Electronic address: plevitt@med.usc.edu.
Shrikanth NarayananDepartment of Electrical Engineering, University of Southern California, Los Angeles, CA 90089, USA.

Funding

Stress-Mediated Alterations in Serotonin 2C Receptor Editing and FunctionP50MH096972 · NIMH · VANDERBILT UNIVERSITY · PI BLAKELY, RANDY D. · 2012 to 2016
$10.5M
Project 6 Interactions of Serotonin and Circadian Signaling NetworksP50MH078028 · NIMH · VANDERBILT UNIVERSITY · PI SNODDY, JAY R · 2007 to 2011
$9.8M
Biobehavioral Intervention in Developmental Disabilities(RMI)T32MH075883 · NIMH · VANDERBILT UNIVERSITY · PI DYKENS, ELISABETH M · 2005 to 2009
$1.0M
NIMH NIH HHS P50 MH078028NIMH NIH HHS P50 MH096972NIMH NIH HHS T32 MH075883
6 · The paper itself

Abstract

Vocalizations play a significant role in social communication across species. Analyses in rodents have used a limited number of spectro-temporal measures to compare ultrasonic vocalizations (USVs), which limits the ability to address repertoire complexity in the context of behavioral states. Using an automated and unsupervised signal processing approach, we report the development of MUPET (Mouse Ultrasonic Profile ExTraction) software, an open-access MATLAB tool that provides data-driven, high-throughput analyses of USVs. MUPET measures, learns, and compares syllable types and provides an automated time stamp of syllable events. Using USV data from a large mouse genetic reference panel and open-source datasets produced in different social contexts, MUPET analyzes the fine details of syllable production and repertoire use. MUPET thus serves as a new tool for USV repertoire analyses, with the capability to be adapted for use with other species.

Indexed as

SoftwareUltrasonic WavesVocalization, AnimalAccess to InformationAnimalsMachine LearningMiceSignal Processing, Computer-AssistedSocial Behaviorautomatedcommunicationhigh-throughputmachine learningrepertoiresignal processingsocial behaviorsoftwaresyllableultrasonic vocalizations

Identifiers

PMID28472651
PMCPMC5939957

What OpenQuestion holds

Textmetadata
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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.