Evidence map›Paper›PMID 29927553›Full record

ArticleCurrent protocols in mouse biology2018

Computational Analysis of Neonatal Mouse Ultrasonic Vocalization.

Pilib Ó Broin, Michael V Beckert, Tomohisa Takahashi, Takeshi Izumi, Kenny Ye, Gina Kang, Patricia Pouso, Mackenzie Topolski, Jose L Pena, Noboru Hiroi

Open access · greenAbstract read
In one paragraph

Article in Current protocols in mouse biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.7field-weighted citation impact, top 15% of its field
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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. 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

10 authors at 2 institutions in 2 countries.

Pilib Ó BroinSchool of Mathematics, Statistics & Applied Mathematics, National University of Ireland Galway, Galway, Ireland.
Michael V BeckertDepartment of Neuroscience, Albert Einstein College of Medicine, Bronx, New York.
Tomohisa TakahashiDepartment of Psychiatry and Behavioral Sciences, Albert Einstein College of Medicine, Bronx, New York.
Takeshi IzumiDepartment of Psychiatry and Behavioral Sciences, Albert Einstein College of Medicine, Bronx, New York.
Kenny YeDepartment of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, New York.
Gina KangDepartment of Psychiatry and Behavioral Sciences, Albert Einstein College of Medicine, Bronx, New York.
Patricia PousoDepartment of Psychiatry and Behavioral Sciences, Albert Einstein College of Medicine, Bronx, New York.
Mackenzie TopolskiDepartment of Psychiatry and Behavioral Sciences, Albert Einstein College of Medicine, Bronx, New York.
Jose L PenaDepartment of Neuroscience, Albert Einstein College of Medicine, Bronx, New York.
Noboru HiroiDepartment of Neuroscience, Albert Einstein College of Medicine, Bronx, New York.
Albert Einstein College of Medicine · USOllscoil na Gaillimhe – University of Galway · IE

Funding

Coding of Auditory Space in the Avian BrainR01DC007690 · NIDCD · ALBERT EINSTEIN COL OF MED YESHIVA UNIV · PI PENA, JOSE L · 2005 to 2025
$7.5M
Support for the Rose F. Kennedy IDDRCU54HD090260 · NICHD · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI MOLHOLM, SOPHIE, WALKLEY, STEVEN UPSHAW · 2016 to 2020
$6.0M
Postnatal mechanisms of cognitive development in miceR01MH099660 · NIMH · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Noboru Hiroi · 2013 to 2026
$5.9M
Structure and Function of Neonatal Social Communication in Genetic Mouse Models of AutismR01DC015776 · NIDCD · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI HIROI, NOBORU · 2017 to 2021
$1.7M
22q11 Genes and Complex Behavior in MiceR21HD053114 · NICHD · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI HIROI, NOBORU · 2008 to 2009
$453k
NICHD NIH HHS R21 HD053114NICHD NIH HHS U54 HD090260NIDCD NIH HHS R01 DC007690NIDCD NIH HHS R01 DC015776NIMH NIH HHS R01 MH099660
6 · The paper itself

Abstract

Neonatal vocalization is structurally altered in mouse models of autism spectrum disorder (ASD). Our published data showed that pup vocalization, under conditions of maternal separation, contains sequences whose alterations in a genetic mouse model of ASD impair social communication between pups and mothers. We describe details of a method which reveals the statistical structure of call sequences that are functionally critical for optimal maternal care. Entropy analysis determines the degree of non-random call sequencing. A Markov model determines the actual call sequences used by pups. Sparse partial least squares discriminant analysis (sPLS-DA) identifies call sequences that differentiate groups and reveals the degrees of individual variability in call sequences between groups. These three sets of analyses can be used to identify the otherwise hidden call structure that is altered in mouse models of developmental neuropsychiatric disorders, including not only autism but also schizophrenia. © 2018 by John Wiley & Sons, Inc.

Indexed as

Vocalization, AnimalAnimalsComputational BiologyLeast-Squares AnalysisMarkov ChainsMiceTape Recordingautism spectrum disorderentropyMarkov modelmouse modelsschizophreniasPLS-DAUSV

Identifiers

PMID29927553
PMCPMC6055925
OpenAlexW2804597552

What OpenQuestion holds

Textmetadata
LicenceTDM
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.