Evidence map›Paper›PMID 36346582›Full record

ArticleNeuroscience bulletin2023

A Virtual Reality Platform for Context-Dependent Cognitive Research in Rodents.

Xue-Tong Qu, Jin-Ni Wu, Yunqing Wen, Long Chen, Shi-Lei Lv, Li Liu, Li-Jie Zhan, Tian-Yi Liu, Hua He, Yu Liu and 1 more

Erratum issuedAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neuroscience bulletin, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Xue-Tong Qu *Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China.
Jin-Ni Wu *Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China.
Yunqing Wen *Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China.
Long ChenInstitute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China.
Shi-Lei LvInstitute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Li LiuInstitute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Li-Jie ZhanInstitute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China.
Tian-Yi LiuDepartment of Neurosurgery, Third Affiliated Hospital of Navy Military Medical University, Shanghai, 200438, China.
Hua HeDepartment of Neurosurgery, Third Affiliated Hospital of Navy Military Medical University, Shanghai, 200438, China. hehua1624@smmu.edu.cn.
Yu LiuInstitute of Automation, Chinese Academy of Sciences, Beijing, 100190, China. yu.liu@ia.ac.cn.
Chun XuInstitute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China. chun.xu@ion.ac.cn.ORCID https://orcid.org/0000-0001-5149-8257

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Animal survival necessitates adaptive behaviors in volatile environmental contexts. Virtual reality (VR) technology is instrumental to study the neural mechanisms underlying behaviors modulated by environmental context by simulating the real world with maximized control of contextual elements. Yet current VR tools for rodents have limited flexibility and performance (e.g., frame rate) for context-dependent cognitive research. Here, we describe a high-performance VR platform with which to study contextual behaviors immersed in editable virtual contexts. This platform was assembled from modular hardware and custom-written software with flexibility and upgradability. Using this platform, we trained mice to perform context-dependent cognitive tasks with rules ranging from discrimination to delayed-sample-to-match while recording from thousands of hippocampal place cells. By precise manipulations of context elements, we found that the context recognition was intact with partial context elements, but impaired by exchanges of context elements. Collectively, our work establishes a configurable VR platform with which to investigate context-dependent cognition with large-scale neural recording.

Indexed as

RodentiaVirtual RealityAnimalsCognitionMiceRecognition, PsychologyCa2+ imagingContextual behaviorHippocampusLearning and memoryPlace cellSpatial contextVirtual reality

Identifiers

PMID36346582
PMCPMC10170012

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.