Evidence map›Paper›PMID 35102217›Full record

ArticleScientific reports2022

Automated procedure to assess pup retrieval in laboratory mice.

Carmen Winters, Wim Gorssen, Victoria A Ossorio-Salazar, Simon Nilsson, Sam Golden, Rudi D'Hooge

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
7.6field-weighted citation impact, top 2% 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

18 citing papers in PubMed, 34 citations in OpenAlex.

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  11. High-THCeNeuro · 2023
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  17. Using deep learning to study emotional behavior in rodent models.Frontiers in behavioral neuroscience · 2022
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Carmen WintersLaboratory of Biological Psychology, University of Leuven (KU Leuven), Leuven, Belgium. carmen.winters@kuleuven.be.
Wim GorssenDepartment of Biosystems, Center for Animal Breeding and Genetics, KU Leuven, Leuven, Belgium.
Victoria A Ossorio-SalazarLaboratory of Biological Psychology, University of Leuven (KU Leuven), Leuven, Belgium.
Simon NilssonDepartment of Biological Structure, University of Washington, Seattle, WA, USA.
Sam GoldenDepartment of Biological Structure, University of Washington, Seattle, WA, USA.ORCID 0000-0002-2104-2272
Rudi D'HoogeLaboratory of Biological Psychology, University of Leuven (KU Leuven), Leuven, Belgium. rudi.dhooge@kuleuven.be.
KU Leuven · BEUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

All mammalian mothers form some sort of caring bond with their infants that is crucial to the development of their offspring. The Pup Retrieval Test (PRT) is the leading procedure to assess pup-directed maternal care in laboratory rodents, used in a wide range of basic and preclinical research applications. Most PRT protocols require manual scoring, which is prone to bias and spatial and temporal inaccuracies. This study proposes a novel procedure using machine learning algorithms to enable reliable assessment of PRT performance. Automated tracking of a dam and one pup was established in DeepLabCut and was combined with automated behavioral classification of "maternal approach", "carrying" and "digging" in Simple Behavioral Analysis (SimBA). Our automated procedure estimated retrieval success with an accuracy of 86.7%, whereas accuracies of "approach", "carry" and "digging" were estimated at respectively 99.3%, 98.6% and 85.0%. We provide an open-source, step-by-step protocol for automated PRT assessment, which aims to increase reproducibility and reliability, and can be easily shared and distributed.

Indexed as

Behavior, AnimalImage Processing, Computer-AssistedMachine LearningMaternal BehaviorVideo RecordingAnimalsAnimals, NewbornAutomation, LaboratoryBehavior Rating ScaleFemaleMiceMice, Inbred C57BLPregnancyReproducibility of Results

Identifiers

PMID35102217
PMCPMC8803842
OpenAlexW4210284648

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.