Evidence map›Paper›PMID 42699696›Full record

ArticleNeurology. Education2026

Curriculum Innovation: Virtual Reality for Neuroanatomy Education Among Neurology Residents.

Ayush Gupta, Derek Bass, Christopher R Barton, Wanyu Zhang, Maiying Kong, Daniela Terson de Paleville

Abstract read
In one paragraph

Article in Neurology. Education, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ayush GuptaDivision of Child Neurology, Department of Pediatrics, University of Arkansas Medical Sciences, Little Rock, AR.ORCID https://orcid.org/0000-0002-1851-0856
Derek BassSchool of Medicine, University of Louisville, KY.ORCID https://orcid.org/0009-0001-4358-4670
Christopher R BartonDepartment of Pediatrics, Division of Child Neurology, University of Louisville, KY.ORCID https://orcid.org/0000-0003-1032-0051
Wanyu ZhangDivision of Gastroenterology Hepatology Nutrition, School of Medicine, University of Louisville, KY.
Maiying KongResearch Design, Compliance and Data Management Core, Louisville Clinical and Translational Research Center, University of Louisville, KY.
Daniela Terson de PalevillePhysiology Department, University of Louisville, KY.ORCID https://orcid.org/0000-0001-5329-7758

Funding

The role of ECM-mediated mechanosignaling on regional immunosuppression in GBMP20GM135004 · NIGMS · UNIVERSITY OF LOUISVILLE · PI JUN YAN · 2020 to 2026
$21.1M
University of Louisville Center for Integrative Environmental Health SciencesP30ES030283 · NIEHS · UNIVERSITY OF LOUISVILLE · PI Amanda Jo LeBlanc · 2020 to 2026
$10.0M
Research Design, Compliance, and Data Management (RDCD)P20GM155899 · NIGMS · UNIVERSITY OF LOUISVILLE · PI Jon Klein · 2024 to 2026
$9.3M
NIEHS NIH HHS P30 ES030283NIGMS NIH HHS P20 GM135004NIGMS NIH HHS P20 GM155899
6 · The paper itself

Abstract

Introduction and Problem Statement: Advanced neuroanatomy knowledge is essential for clinical reasoning in neurology, yet residency training offers limited time to reinforce concepts. This contributes to persistent gaps in topics frequently tested on the Residency In-service Training Examination (RITE). This study evaluated the feasibility and educational impact of a virtual reality (VR) neuroanatomy curriculum intended to enable residents to (1) identify and spatially integrate arterial, venous, and ventricular structures; (2) improve performance on assessments targeting commonly missed RITE concepts; and (3) assess usability, engagement, spatial presence, and perceived educational value. Objectives: (1) To identify and label key neuroanatomical structures, (2) to describe spatial relationships relevant to clinical localization, (3) to apply neuroanatomy to clinical scenarios modeled after RITE items, and (4) to evaluate usability, engagement, and spatial presence of VR. Methods and Curriculum Description: A single-group, pre-post mixed-methods study among neurology residents at a single academic medical center. Participants completed a faculty-guided 40-minute VR session using Organon VR Anatomy on Meta Quest 3 headsets, focusing on cerebrovascular arterial supply, venous sinuses, ventricular anatomy, and key spatial relationships relevant to clinical localization. Knowledge was assessed using quizzes at baseline, postintervention, and at 2-week follow-up. Learner perceptions were measured using surveys, and data were analyzed using repeated-measures ANOVA and linear mixed-effects models, with mean differences and 95% confidence intervals reported. Results and Assessment Data: Thirty residents (mean age 30.5 years, SD 4.6; 50% female) completed all assessments. Mean scores increased from 8.57 (SD 2.75) at baseline to 11.37 (SD 2.27) immediately postintervention and were sustained at 11.20 (SD 3.07) at 2 weeks. The mean increase was 2.80 points (95% CI 1.45-4.15), representing an approximate 33% improvement, with sustained gains at follow-up (2.63 points; 95% CI 1.28-3.99). Participants reported high usability, engagement, and spatial presence. Discussion and Lessons Learned: This study demonstrates the feasibility of an instructor-guided VR neuroanatomy curriculum and provides preliminary evidence of improved knowledge and short-term retention. Findings should be interpreted in the context of a single-group design and nonidentical assessments, which limit causal inference. VR seems to be a promising adjunct to traditional instruction, particularly when combined with guided teaching. Future controlled studies are needed to evaluate comparative effectiveness and long-term clinical impact.

Identifiers

PMID42699696
PMCPMC13544126

What OpenQuestion holds

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Registered trials

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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.