Evidence map›Paper›PMID 36375141›Full record

ArticleClinical & experimental optometry2023

Objective estimation of fusional reserves using infrared eye tracking: the digital fusion-range test.

Tina Y Gao, Joyce Wong, Linda W Zhou, Joanna Black, Philip Rk Turnbull, Peter J Bex, Steven C Dakin

Open access · hybridAbstract read
In one paragraph

Article in Clinical & experimental optometry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 34% of its field
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

3 citing papers in PubMed, 3 citations in OpenAlex.

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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

7 authors at 2 institutions in 2 countries.

Tina Y GaoSchool of Optometry & Vision Science, Faculty of Medicine and Health Sciences, The University of Auckland, Auckland, New Zealand.ORCID 0000-0001-7077-3226
Joyce WongSchool of Optometry & Vision Science, Faculty of Medicine and Health Sciences, The University of Auckland, Auckland, New Zealand.
Linda W ZhouSchool of Optometry & Vision Science, Faculty of Medicine and Health Sciences, The University of Auckland, Auckland, New Zealand.
Joanna BlackSchool of Optometry & Vision Science, Faculty of Medicine and Health Sciences, The University of Auckland, Auckland, New Zealand.ORCID 0000-0002-5100-8796
Philip Rk TurnbullSchool of Optometry & Vision Science, Faculty of Medicine and Health Sciences, The University of Auckland, Auckland, New Zealand.ORCID 0000-0002-9892-2964
Peter J BexDepartment of Psychology, Northeastern University, Boston, MA, USA.
Steven C DakinSchool of Optometry & Vision Science, Faculty of Medicine and Health Sciences, The University of Auckland, Auckland, New Zealand.ORCID 0000-0002-3548-9104
University of Auckland · NZNortheastern University · US

Funding

ARBi - Assessment and Rehabilitation of Binocular Sensorimotor DisordersR01EY032162 · NEI · NORTHEASTERN UNIVERSITY · PI Peter John Bex, David G HUNTER · 2022 to 2026
$2.4M
Eye Movement Rehabilitation in Low Vision PatientsR01EY029713 · NEI · NORTHEASTERN UNIVERSITY · PI BEX, PETER JOHN · 2019 to 2023
$1.9M
NEI NIH HHS R01 EY029713NEI NIH HHS R01 EY032162
6 · The paper itself

Abstract

clinical relevanceHorizontal fusional reserves are used in the diagnosis and monitoring of common vergence disorders, such as convergence insufficiency, which can cause asthenopia and impact near work. Infrared eyetracking technology shows promise for obtaining automated and objective measurements of fusional reserves, expanding options for screening, clinical testing, and at-home monitoring/vision training.

backgroundCurrent clinical tests for fusional reserves rely on subjective judgements made by patients (for diplopia) and clinicians (for eye movements). This paper describes an objective and automated "digital fusion-range test" pilot-tested in adults without current eye disease or binocular vision anomalies. This test combines a consumer-grade infrared eyetracker, a dichoptic display, and custom analyses programs to measure convergence and divergence reserves.

methodsTwenty-nine adult participants completed the study. Horizontal fusional reserves at 55 cm were measured using prism bars and with our computer-based digital fusion-range test. For the digital test, observers viewed dichoptic targets whose binocular disparity modulated over time (at speeds of 0.5, 1.0, or 2.0 Δ/s) while their eye movements were continuously recorded. Subjective reports of break and recovery (by keyboard button press) were compared to objective estimates extracted from eyetracking recordings (via automated analyses).

resultsObjective and subjective measures of break and recovery agreed closely. Clinically small (0.3-2Δ) but statistically significant (p < 0.012) differences were found between measurement types for divergence breaks/recoveries and convergence recoveries. No significant differences were found for convergence breaks (p = 0.11). Such differences are consistent with an average 0.91 (SD 1.66) seconds delay between objective break/recovery and subjective responses. The digital test produced comparable results to the standard clinical prism bar method.

conclusionThe digital fusion-range test supports an automated, reliable assessment of horizontal fusional reserves, which do not depend on subjective responses. This technology may prove useful in a variety of clinical and community-based settings.

Indexed as

Eye-Tracking TechnologyOcular Motility DisordersAdultConvergence, OcularHumansVision, BinocularVision TestsBinocular visioneyetrackingfusional rangesfusional reserves

Identifiers

PMID36375141
PMCPMC13035411
OpenAlexW4308991104

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.