Evidence map›Paper›PMID 32276923›Full record

ArticleeNeuro

3D Printable Device for Automated Operant Conditioning in the Mouse.

Raffaele Mazziotti, Giulia Sagona, Leonardo Lupori, Virginia Martini, Tommaso Pizzorusso

Abstract read
In one paragraph

Article in eNeuro. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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

Raffaele MazziottiDepartment of Neuroscience, Psychology, Drug Research and Child Health (NEUROFARBA), University of Florence, Florence 50135, Italy raffaele.mazziotti@in.cnr.it.
Giulia SagonaInstitute of Neuroscience, National Research Council, Pisa 56124, Italy.ORCID 0000-0002-4788-809X
Leonardo LuporiBIO@SNS Laboratory, Scuola Normale Superiore, Pisa 56124, Italy.
Virginia MartiniInstitute of Neuroscience, National Research Council, Pisa 56124, Italy.
Tommaso PizzorussoDepartment of Neuroscience, Psychology, Drug Research and Child Health (NEUROFARBA), University of Florence, Florence 50135, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Operant conditioning (OC) is a classical paradigm and a standard technique used in experimental psychology in which animals learn to perform an action to achieve a reward. By using this paradigm, it is possible to extract learning curves and measure accurately reaction times (RTs). Both these measurements are proxy of cognitive capabilities and can be used to evaluate the effectiveness of therapeutic interventions in mouse models of disease. Here, we describe a fully 3D printable device that is able to perform OC on freely moving mice, while performing real-time tracking of the animal position. We successfully trained six mice, showing stereotyped learning curves that are highly reproducible across mice and reaching >70% of accuracy after 2 d of conditioning. Different products for OC are commercially available, though most of them do not provide customizable features and are relatively expensive. This data demonstrate that this system is a valuable alternative to available state-of-the-art commercial devices, representing a good balance between performance, cost, and versatility in its use.

Indexed as

Conditioning, OperantRewardAnimalsMice3D printingArduinoconditioninglearningRaspberry Pireaction times

Identifiers

PMID32276923
PMCPMC7218003

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.