Evidence map›Paper›PMID 39651999›Full record

ArticleJMIR pediatrics and parenting2024

High-Resolution Eye-Tracking System for Accurate Measurement of Short-Latency Ocular Following Responses: Development and Observational Study.

Aleksandar Miladinović, Christian Quaia, Simone Kresevic, Miloš Ajčević, Laura Diplotti, Paola Michieletto, Agostino Accardo, Stefano Pensiero

Abstract read
In one paragraph

Article in JMIR pediatrics and parenting, 2024. 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. Review
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

8 authors.

Aleksandar MiladinovićInstitute for Maternal and Child Health-IRCCS, Trieste, 34100, Italy, 39 0405587124.ORCID http://orcid.org/0000-0002-6156-1464
Christian QuaiaLaboratory of Sensorimotor Research, National Eye Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, United States.ORCID http://orcid.org/0000-0002-6317-1283
Simone KresevicDepartment of Engineering and Architecture, University of Trieste, Trieste, Italy.ORCID http://orcid.org/0009-0008-1700-7512
Miloš AjčevićDepartment of Engineering and Architecture, University of Trieste, Trieste, Italy.ORCID http://orcid.org/0000-0001-8307-4360
Laura DiplottiInstitute for Maternal and Child Health-IRCCS, Trieste, 34100, Italy, 39 0405587124.ORCID http://orcid.org/0000-0002-9039-8352
Paola MichielettoInstitute for Maternal and Child Health-IRCCS, Trieste, 34100, Italy, 39 0405587124.ORCID http://orcid.org/0000-0002-7325-6993
Agostino AccardoDepartment of Engineering and Architecture, University of Trieste, Trieste, Italy.ORCID http://orcid.org/0000-0001-5749-6308
Stefano PensieroInstitute for Maternal and Child Health-IRCCS, Trieste, 34100, Italy, 39 0405587124.ORCID http://orcid.org/0009-0008-6699-8455

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ocular following responses (OFRs)-small-amplitude, short-latency reflexive eye movements-have been used to study visual motion processing, with potential diagnostic applications. However, they are difficult to record with commercial, video-based eye trackers, especially in children. Objective: We aimed to design and develop a noninvasive eye tracker specialized for measuring OFRs, trading off lower temporal resolution and a smaller range for higher spatial resolution. Methods: We developed a high-resolution eye-tracking system based on a high-resolution camera operating in the near-infrared spectral range, coupled with infrared illuminators and a dedicated postprocessing pipeline, optimized to measure OFRs in children. To assess its performance, we: (1) evaluated our algorithm for compensating small head movements in both artificial and real-world settings, (2) compared OFRs measured simultaneously by our system and a reference scleral search coil eye-tracking system, and (3) tested the system's ability to measure OFRs in a clinical setting with children. Results: The simultaneous measurement by our system and a reference system showed that our system achieved an in vivo resolution of approximately 0.06°, which is sufficient for recording OFRs. Head motion compensation was successfully tested, showing a displacement error of less than 5 μm. Finally, robust OFRs were detected in 16 children during recording sessions lasting less than 5 minutes. Conclusions: Our high-resolution, noninvasive eye-tracking system successfully detected OFRs with minimal need for subject cooperation. The system effectively addresses the limits of other OFR measurement methods and offers a versatile solution suitable for clinical applications, particularly in children, where eye tracking is more challenging. The system could potentially be suitable for diagnostic applications, particularly in pediatric populations where early detection of visual disorders like stereodeficiencies is critical.

Indexed as

algorithmchildreneye trackinginfraredocularocular following responsepediatricstereopsistrackervideo-oculographyvisionyouth

Identifiers

PMID39651999
PMCPMC11648338

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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.