Evidence map›Paper›PMID 27077752›Full record

ArticleJournal of visualized experiments : JoVE2016

Whisker-signaled Eyeblink Classical Conditioning in Head-fixed Mice.

Carmen Lin, John Disterhoft, Craig Weiss

Open access · bronzeAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2016. 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
0.7field-weighted citation impact, top 33% 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, 9 citations in OpenAlex.

  1. Article
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  4. Intrinsic Excitability Increase in Cerebellar Purkinje Cells after Delay Eye-Blink Conditioning in Mice.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
    Article
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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

3 authors at 1 institution in 2 countries.

Carmen LinDepartment of Physiology, Northwestern University.
John DisterhoftDepartment of Physiology, Northwestern University.
Craig WeissDepartment of Physiology, Northwestern University; cweiss@northwestern.edu.
FHNW University of Applied Sciences and Arts · CH

Funding

SLOW OUTWARD CURRENTS AND LEARNING IN AGING HIPPOCAMPUSR37AG008796 · NIA · NORTHWESTERN UNIVERSITY AT CHICAGO · PI DISTERHOFT, JOHN F · 1999 to 2020
$9.2M
SYNAPTIC SUBSTRATES OF AGE-DEPENDENT MEMORY DEFICITSR01AG017139 · NIA · NORTHWESTERN UNIVERSITY AT CHICAGO · PI DISTERHOFT, JOHN F · 1999 to 2013
$4.6M
NIA NIH HHS R01 AG017139NIA NIH HHS R37 AG008796
6 · The paper itself

Abstract

Eyeblink conditioning is a common paradigm for investigating the neural mechanisms underlying learning and memory. To better utilize the extensive repertoire of scientific techniques available to study learning and memory at the cellular level, it is ideal to have a stable cranial platform. Because mice do not readily tolerate restraint, they are usually trained while moving about freely in a chamber. Conditioned stimulus (CS) and unconditioned stimulus (US) information are delivered and eyeblink responses recorded via a tether connected to the mouse's head. In the head-fixed apparatus presented here, mice are allowed to run as they desire while their heads are secured to facilitate experimentation. Reliable conditioning of the eyeblink response is obtained with this training apparatus, which allows for the delivery of whisker stimulation as the CS, a periorbital electrical shock as the US, and analysis of electromyographic (EMG) activity from the eyelid to detect blink responses.

Indexed as

Conditioning, EyelidModels, AnimalAnimalsElectric StimulationHeadMiceVibrissae

Identifiers

PMID27077752
PMCPMC4841326
OpenAlexW2314933737

What OpenQuestion holds

Textmetadata
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.