Evidence map›Paper›PMID 30478333›Full record

ArticleScientific reports2018

The Virtual-Environment-Foraging Task enables rapid training and single-trial metrics of attention in head-fixed mice.

Martha N Havenith, Peter M Zijderveld, Sabrina van Heukelum, Shaghayegh Abghari, Jeffrey C Glennon, Paul Tiesinga

Open access · goldAbstract 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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

14 citing papers in PubMed, 21 citations in OpenAlex.

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  7. Advancing preclinical chronic stress models to promote therapeutic discovery for human stress disorders.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Review
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  14. A Visual Two-Choice Rule-Switch Task for Head-Fixed Mice.Frontiers in behavioral 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

6 authors at 1 institution in 1 country.

Martha N HavenithDonders Institute for Brain, Cognition and Behaviour, Kapittelweg, 29 6525EN, Nijmegen, The Netherlands. m.havenith@science.ru.nl.
Peter M ZijderveldDonders Institute for Brain, Cognition and Behaviour, Kapittelweg, 29 6525EN, Nijmegen, The Netherlands.
Sabrina van HeukelumDonders Institute for Brain, Cognition and Behaviour, Kapittelweg, 29 6525EN, Nijmegen, The Netherlands.
Shaghayegh AbghariDonders Institute for Brain, Cognition and Behaviour, Kapittelweg, 29 6525EN, Nijmegen, The Netherlands.
Jeffrey C GlennonDonders Institute for Brain, Cognition and Behaviour, Kapittelweg, 29 6525EN, Nijmegen, The Netherlands.
Paul TiesingaDonders Institute for Brain, Cognition and Behaviour, Kapittelweg, 29 6525EN, Nijmegen, The Netherlands.
Radboud University Nijmegen · NL

Funding

EPA EP-D-14-002
6 · The paper itself

Abstract

Attention - the flexible allocation of processing resources based on behavioural demands - is essential to survival. Mouse research offers unique tools to dissect the underlying pathways, but is hampered by the difficulty of accurately measuring attention in mice. Current attention tasks for mice face several limitations: Binary (hit/miss), temporally imprecise metrics, behavioural confounds and overtraining. Thus, despite the increasing scope of neuronal population measurements, insights are limited without equally precise behavioural measures. Here we present a virtual-environment task for head-fixed mice based on 'foraging-like' navigation. The task requires animals to discriminate gratings at orientation differences from 90° to 5°, and can be learned in only 3-5 sessions (<550 trials). It yields single-trial, non-binary metrics of response speed and accuracy, which generate secondary metrics of choice certainty, visual acuity, and most importantly, of sustained and cued attention - two attentional components studied extensively in humans. This allows us to examine single-trial dynamics of attention in mice, independently of confounds like rule learning. With this approach, we show that C57/BL6 mice have better visual acuity than previously measured, that they rhythmically alternate between states of high and low alertness, and that they can be prompted to adopt different performance strategies using minute changes in reward contingencies.

Indexed as

AnimalsAttentionCuesLearningMaleMiceMice, Inbred C57BLModels, AnimalOrientationPhotic StimulationReaction TimeRewardVisual Perception

Identifiers

PMID30478333
PMCPMC6255915
OpenAlexW2900740169

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.