Evidence map›Paper›PMID 29769564›Full record

ArticleScientific reports2018

The opto-locomotor reflex as a tool to measure sensitivity to moving random dot patterns in mice.

L A M H Kirkels, W Zhang, M N Havenith, P Tiesinga, J Glennon, R J A van Wezel, J Duijnhouwer

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Molecular Fingerprinting of On-Off Direction-Selective Retinal Ganglion Cells Across Species and Relevance to Primate Visual Circuits.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019
    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.

L A M H KirkelsDepartment of Biophysics, Donders Institute, Radboud University, Nijmegen, The Netherlands. l.kirkels@science.ru.nl.
W ZhangDepartment of Biophysics, Donders Institute, Radboud University, Nijmegen, The Netherlands.
M N HavenithDepartment of Neuroinformatics, Donders Institute, Radboud University, Nijmegen, The Netherlands.
P TiesingaDepartment of Neuroinformatics, Donders Institute, Radboud University, Nijmegen, The Netherlands.
J GlennonDepartment of Cognitive Neuroscience, Donders Institute, RadboudUMC, Nijmegen, The Netherlands.
R J A van WezelDepartment of Biophysics, Donders Institute, Radboud University, Nijmegen, The Netherlands.
J DuijnhouwerDepartment of Biophysics, Donders Institute, Radboud University, Nijmegen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We designed a method to quantify mice visual function by measuring reflexive opto-locomotor responses. Mice were placed on a Styrofoam ball at the center of a large dome on the inside of which we projected moving random dot patterns. Because we fixed the heads of the mice in space and the ball was floating on pressurized air, locomotion of the mice was translated to rotation of the ball, which we registered. Sudden onsets of rightward or leftward moving patterns caused the mice to reflexively change their running direction. We quantified the opto-locomotor responses to different pattern speeds, luminance contrasts, and dot sizes. We show that the method is fast and reliable and the magnitude of the reflex is stable within sessions. We conclude that this opto-locomotor reflex method is suitable to quantify visual function in mice.

Indexed as

AnimalsDiscrimination, PsychologicalForm PerceptionLocomotionMaleMiceMice, Inbred C57BLMotion PerceptionPattern Recognition, VisualPhotic StimulationReflex, Vestibulo-Ocular

Identifiers

PMID29769564
PMCPMC5955912

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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.