Evidence map›Paper›PMID 25938737›Full record

ArticleJournal of visualized experiments : JoVE2015

Behavioral Phenotyping of Murine Disease Models with the Integrated Behavioral Station (INBEST).

Boris Sakic, Marcella P A Cooper, Sarah E Taylor, Milica Stojanovic, Bosa Zagorac, Minesh Kapadia

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Boris SakicDepartment of Psychiatry and Behavioral Neurosciences, McMaster University; sakic@mcmaster.ca.
Marcella P A CooperDepartment of Psychology, Neuroscience & Behaviour, McMaster University.
Sarah E TaylorDepartment of Psychology, Neuroscience & Behaviour, McMaster University.
Milica StojanovicDepartment of Psychology, Neuroscience & Behaviour, McMaster University.
Bosa ZagoracDepartment of Psychology, Neuroscience & Behaviour, McMaster University.
Minesh KapadiaNeuroscience Program, McMaster University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to rapid advances in genetic engineering, small rodents have become the preferred subjects in many disciplines of biomedical research. In studies of chronic CNS disorders, there is an increasing demand for murine models with high validity at the behavioral level. However, multiple pathogenic mechanisms and complex functional deficits often impose challenges to reliably measure and interpret behavior of chronically sick mice. Therefore, the assessment of peripheral pathology and a behavioral profile at several time points using a battery of tests are required. Video-tracking, behavioral spectroscopy, and remote acquisition of physiological measures are emerging technologies that allow for comprehensive, accurate, and unbiased behavioral analysis in a home-base-like setting. This report describes a refined phenotyping protocol, which includes a custom-made monitoring apparatus (Integrated Behavioral Station, INBEST) that focuses on prolonged measurements of basic functional outputs, such as spontaneous activity, food/water intake and motivated behavior in a relatively stress-free environment. Technical and conceptual improvements in INBEST design may further promote reproducibility and standardization of behavioral studies.

Indexed as

Behavior, AnimalDisease Models, AnimalHousing, AnimalAnimalsEnvironmentEnvironmental MonitoringMicePhenotypeReproducibility of Results

Identifiers

PMID25938737
PMCPMC4650674

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.