Evidence map›Paper›PMID 41381554›Full record

ArticleScientific data2025

An EEG Dataset of Exploring Navigation in Virtual Reality.

Junyuan Zheng, Xuanji Chen, Haiyan Wu

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

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.

Junyuan ZhengCentre for Cognitive and Brain Sciences, Department of Psychology, University of Macau, Macau, China.
Xuanji ChenCentre for Cognitive and Brain Sciences, Department of Psychology, University of Macau, Macau, China.
Haiyan WuCentre for Cognitive and Brain Sciences, Department of Psychology, University of Macau, Macau, China. haiyanwu@um.edu.mo.ORCID 0000-0001-8869-6636

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate the neural correlates of navigation strategies and social interactions in immersive environments, we present a novel dataset combining electroencephalography (EEG) and behavioral metrics during virtual reality (VR)-based spatial and social navigation tasks. The dataset includes synchronized EEG recordings and behavioral measures (navigation efficiency, spatial trajectory, and emotion assessment) to enable integrated analysis of neurocognitive mechanisms underlying navigation and social behaviors, particularly in individuals with varying anxiety levels. Preprocessed and analyzed, this dataset advances research on VR as a tool for studying cognitive processes. It may serve as a resource for interdisciplinary studies bridging cognitive neuroscience, VR, and social psychology. Additionally, our findings may provide preliminary insights for the potential development of VR-based therapeutic interventions aimed at enhancing cognitive and social functioning, pending validation in clinical populations.

Indexed as

ElectroencephalographySpatial NavigationVirtual RealityHumans

Identifiers

PMID41381554
PMCPMC12714754

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.