Evidence map›Paper›PMID 41519921›Full record

ArticleScientific reports2026

Development and pilot evaluation of a binocular virtual reality Headset-Based pupillometer for quantitative assessment of pupillary light reflexes.

Chan Hae Park, Daseul Kim, Sang Woo Park, Gyuhae Park, Hwan Heo

Abstract read
In one paragraph

Article in Scientific reports, 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

5 authors.

Chan Hae ParkDepartment of Ophthalmology, Chonnam National University Medical School and Hospital, 42 Jebong-ro, Dong-gu, Gwangju, 61469, South Korea.
Daseul KimDepartment of Ophthalmology, Chonnam National University Medical School and Hospital, 42 Jebong-ro, Dong-gu, Gwangju, 61469, South Korea.
Sang Woo ParkDepartment of Ophthalmology, Chonnam National University Medical School and Hospital, 42 Jebong-ro, Dong-gu, Gwangju, 61469, South Korea.
Gyuhae ParkDepartment of Mechanical Engineering, Chonnam National University, Gwangju, South Korea.
Hwan HeoDepartment of Ophthalmology, Chonnam National University Medical School and Hospital, 42 Jebong-ro, Dong-gu, Gwangju, 61469, South Korea. hwanheo@jnu.ac.kr.

Funding

Chonnam National University Hospital Biomedical Research Institute BCRI25020Chonnam National University Hospital Biomedical Research Institute. BCRI25020
6 · The paper itself

Abstract

Relative afferent pupillary defect (RAPD) is a key sign of optic neuropathies but is traditionally assessed subjectively. Virtual reality (VR) headsets with integrated binocular eye tracking enable simultaneous measurement under standardized illumination. We developed and conducted a pilot evaluation of a VR headset–based pupillometer that objectively quantifies RAPD using advanced pupil-tracking and automated blink-correction algorithms. This proof-of-concept study enrolled 17 patients with unilateral optic neuropathy (glaucomatous, traumatic, ischemic, or inflammatory) and 30 healthy controls. A VR headset (FOVE®, Tokyo, Japan) recorded binocular pupillary responses at 120 Hz under photopic (~ 130 lx) and scotopic (< 1 lx) conditions. Two protocols captured direct and consensual light reflexes and simulated the swinging flashlight test. Measured parameters included minimum and maximum diameters, constriction percentage, constriction/dilation velocities, and logarithmic RAPD scores. Receiver operating characteristic (ROC) analysis assessed diagnostic accuracy relative to clinical RAPD grading. Patients exhibited significantly reduced direct constriction (26.3% vs. 47.8%; p < 0.001), slower dilation velocity, and higher absolute RAPD scores (2.46 ± 2.00 vs. 0.27 ± 0.25 log units; p < 0.001) than controls. ROC analysis demonstrated an area under the curve (AUC) of 0.903 for the absolute RAPD score, corresponding to 87% sensitivity and 91% specificity. The VR headset–based pupillometer objectively quantified RAPD by simultaneously recording direct and consensual responses. Given its high diagnostic accuracy, portability, and ease of use, this study provides preliminary evidence supporting the feasibility of VR-based pupillometry as an objective, reproducible alternative to conventional subjective testing for evaluating optic neuropathies.

Indexed as

Optic Nerve DiseasesPupilPupil DisordersReflex, PupillaryVirtual RealityAdultAgedFemaleHumansMaleMiddle AgedPilot ProjectsROC CurveOptic neuropathyPupillary light reflexPupillometryRAPDVirtual reality

Identifiers

PMID41519921
PMCPMC12796183

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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.