Evidence map›Paper›PMID 33264281›Full record

ArticlePloS one2020

An automated homecage system for multiwhisker detection and discrimination learning in mice.

Sarah M Bernhard, Jiseok Lee, Mo Zhu, Alex Hsu, Andrew Erskine, Samuel A Hires, Alison L Barth

Open access · goldAbstract readVideo-Audio Media
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

15 citing papers in PubMed, 25 citations in OpenAlex.

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  10. Quantitative Fluorescence Analysis Reveals Dendrite-Specific Thalamocortical Plasticity in L5 Pyramidal Neurons during Learning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
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  12. Review
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  14. FosGFP expression does not capture a sensory learning-related engram in superficial layers of mouse barrel cortex.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  15. 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

7 authors at 2 institutions in 1 country.

Sarah M BernhardDepartment of Psychology, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America.
Jiseok LeeDepartment of Biological Sciences, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America.
Mo ZhuDepartment of Biological Sciences, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America.
Alex HsuDepartment of Biological Sciences, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America.
Andrew ErskineDepartment of Biological Sciences, Section of Neurobiology, University of Southern California, Los Angeles, California, United States of America.
Samuel A HiresDepartment of Biological Sciences, Section of Neurobiology, University of Southern California, Los Angeles, California, United States of America.
Alison L BarthDepartment of Biological Sciences, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America.ORCID 0000-0001-7092-1356
Carnegie Mellon University · USUniversity of Southern California · US

Funding

Cortical circuit mechanisms of sensorimotor object localizationR01NS102808 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HIRES, SAMUEL ANDREW · 2018 to 2022
$1.8M
NINDS NIH HHS R01 NS102808
6 · The paper itself

Abstract

Automated, homecage behavioral training for rodents has many advantages: it is low stress, requires little interaction with the experimenter, and can be easily manipulated to adapt to different experimental conditions. We have developed an inexpensive, Arduino-based, homecage training apparatus for sensory association training in freely-moving mice using multiwhisker air current stimulation coupled to a water reward. Animals learn this task readily, within 1-2 days of training, and performance progressively improves with training. We examined the parameters that regulate task acquisition using different stimulus intensities, directions, and reward valence. Learning was assessed by comparing anticipatory licking for the stimulus compared to the no-stimulus (blank) trials. At high stimulus intensities (>9 psi), animals showed markedly less participation in the task. Conversely, very weak air current intensities (1-2 psi) were not sufficient to generate rapid learning behavior. At intermediate stimulus intensities (5-6 psi), a majority of mice learned that the multiwhisker stimulus predicted the water reward after 24-48 hrs of training. Both exposure to isoflurane and lack of whiskers decreased animals' ability to learn the task. Following training at an intermediate stimulus intensity, mice were able to transfer learning behavior when exposed to a lower stimulus intensity, an indicator of perceptual learning. Mice learned to discriminate between two directions of stimulation rapidly and accurately, even when the angular distance between the stimuli was <15 degrees. Switching the reward to a more desirable reward, aspartame, had little effect on learning trajectory. Our results show that a tactile association task in an automated homecage environment can be monitored by anticipatory licking to reveal rapid and progressive behavioral change. These Arduino-based, automated mouse cages enable high-throughput training that facilitate analysis of large numbers of genetically modified mice with targeted manipulations of neural activity.

Indexed as

Discrimination LearningHousing, AnimalAirAnimalsAnticipation, PsychologicalAspartameAutomationConditioning, ClassicalHair RemovalIsofluraneMiceMice, Inbred C57BLPhysical StimulationRewardSensationVibrissaeAspartameIsofluraneWater

Identifiers

PMID33264281
PMCPMC7710058
OpenAlexW3109614993

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.