Evidence map›Paper›PMID 29211506›Full record

ArticleBrain injury2018

Validity of low-resolution eye-tracking to assess eye movements during a rapid number naming task: performance of the eyetribe eye tracker.

Jenelle Raynowska, John-Ross Rizzo, Janet C Rucker, Weiwei Dai, Joel Birkemeier, Julian Hershowitz, Ivan Selesnick, Laura J Balcer, Steven L Galetta, Todd Hudson

Abstract read
In one paragraph

Article in Brain injury, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

10 authors.

Jenelle Raynowskaa Department of Neurology , NYU School of Medicine , New York , NY , USA.
John-Ross Rizzoa Department of Neurology , NYU School of Medicine , New York , NY , USA.
Janet C Ruckera Department of Neurology , NYU School of Medicine , New York , NY , USA.
Weiwei Daia Department of Neurology , NYU School of Medicine , New York , NY , USA.
Joel Birkemeierc Department of Physical Medicine & Rehabilitation , NYU School of Medicine , New York , NY , USA.
Julian Hershowitzc Department of Physical Medicine & Rehabilitation , NYU School of Medicine , New York , NY , USA.
Ivan Selesnickb Department of Electrical & Computer Engineering , NYU Tandon School of Engineering , New York , NY , USA.
Laura J Balcera Department of Neurology , NYU School of Medicine , New York , NY , USA.
Steven L Galettaa Department of Neurology , NYU School of Medicine , New York , NY , USA.
Todd Hudsona Department of Neurology , NYU School of Medicine , New York , NY , USA.

Funding

Project-005UL1TR001445 · NCATS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BREDELLA, MIRIAM ANTOINETTE, HOCHMAN, JUDITH S · 2015 to 2025
$103.5M
Rehabilitation Medicine Scientist Training (RMST) ProgramK12HD001097 · NICHD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BONINGER, MICHAEL L. · 1995 to 2016
$14.1M
NCATS NIH HHS UL1 TR001445NICHD NIH HHS K12 HD001097
6 · The paper itself

Abstract

objectiveTo evaluate the performance of the EyeTribe compared to the EyeLink for eye movement recordings during a rapid number naming test in healthy control participants.

backgroundWith the increasing accessibility of portable, economical, video-based eye trackers such as the EyeTribe, there is growing interest in these devices for eye movement recordings, particularly in the domain of sports-related concussion. However, prior to implementation there is a primary need to establish the validity of these devices. One current limitation of portable eye trackers is their sampling rate (30-60 samples per second, or Hz), which is typically well below the benchmarks achieved by their research-grade counterparts (e.g., the EyeLink, which samples at 500-2000 Hz).

methodsWe compared video-oculographic measurements made using the EyeTribe with those of the EyeLink during a digitized rapid number naming task (the King-Devick test) in a convenience sample of 30 controls.

resultsEyeTribe had loss of signal during recording, and failed to reproduce the typical shape of saccadic main sequence relationships. In addition, EyeTribe data yielded significantly fewer detectable saccades and displayed greater variance of inter-saccadic intervals than the EyeLink system.

conclusionCaution is advised prior to implementation of low-resolution eye trackers for objective saccade assessment and sideline concussion screening.

Indexed as

Eye Movement MeasurementsAdultClinical Decision-MakingCross-Sectional StudiesEye MovementsFemaleHumansMaleNeuropsychological TestsPhotic StimulationRandom AllocationReproducibility of ResultsSeverity of Illness IndexVideo RecordingConcussioneye movement measurementseye movementsking-devickrapid number namingsaccadesvideo oculography

Identifiers

PMID29211506
PMCPMC6028183

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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.