Evidence map›Paper›PMID 32123394›Full record

ArticleNature methods2020

A virtual reality system to analyze neural activity and behavior in adult zebrafish.

Kuo-Hua Huang, Peter Rupprecht, Thomas Frank, Koichi Kawakami, Tewis Bouwmeester, Rainer W Friedrich

Abstract read
In one paragraph

Article in Nature methods, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Article
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  11. Understanding collective behavior through neurobiology.Current opinion in neurobiology · 2024
    Review
  12. Article
  13. Review
  14. Review
  15. The application of metaverse in healthcare.Frontiers in public health · 2024
    Review
  16. Article
  17. Article
  18. Article
  19. Extended reality for biomedicine.Nature reviews. Methods primers · 2023
    Article
  20. 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.

Kuo-Hua HuangFriedrich Miescher Institute for Biomedical Research, Basel, Switzerland. kuo-hua.huang@fmi.ch.ORCID http://orcid.org/0000-0001-6232-296X
Peter RupprechtFriedrich Miescher Institute for Biomedical Research, Basel, Switzerland.
Thomas FrankFriedrich Miescher Institute for Biomedical Research, Basel, Switzerland.ORCID http://orcid.org/0000-0002-5113-176X
Koichi KawakamiLaboratory of Molecular and Developmental Biology, National Institute of Genetics, and Department of Genetics, SOKENDAI (The Graduate University for Advanced Studies), Mishima, Shizuoka, Japan.ORCID http://orcid.org/0000-0001-9993-1435
Tewis BouwmeesterChemical Biology & Therapeutics, Novartis Institutes for Biomedical Research, Basel, Switzerland.
Rainer W FriedrichFriedrich Miescher Institute for Biomedical Research, Basel, Switzerland. rainer.friedrich@fmi.ch.ORCID http://orcid.org/0000-0001-9107-0482

Funding

European Research Council 742576Swiss National Science Foundation 135196Swiss National Science Foundation 152833
6 · The paper itself

Abstract

Virtual realities are powerful tools to analyze and manipulate interactions between animals and their environment and to enable measurements of neuronal activity during behavior. In many species, however, optical access to the brain and/or the behavioral repertoire are limited. We developed a high-resolution virtual reality for head-restrained adult zebrafish, which exhibit cognitive behaviors not shown by larvae. We noninvasively measured activity throughout the dorsal telencephalon by multiphoton calcium imaging. Fish in the virtual reality showed regular swimming patterns and were attracted to animations of conspecifics. Manipulations of visuo-motor feedback revealed neurons that responded selectively to the mismatch between the expected and the actual visual consequences of motor output. Such error signals were prominent in multiple telencephalic areas, consistent with models of predictive processing. A virtual reality system for adult zebrafish therefore provides opportunities to analyze neuronal processing mechanisms underlying higher brain functions including decision making, associative learning, and social interactions.

Indexed as

Behavior, AnimalUser-Computer InterfaceVirtual RealityAnimalsBrainBrain MappingCognitionDecision MakingFemaleMaleMotor SkillsNeuronsProbabilitySocial BehaviorSwimmingZebrafish

Identifiers

PMID32123394
PMCPMC7100911

What OpenQuestion holds

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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.