Literature DB >> 29211506

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

Jenelle Raynowska1, John-Ross Rizzo1,2, Janet C Rucker1, Weiwei Dai1,3, Joel Birkemeier2, Julian Hershowitz2, Ivan Selesnick3, Laura J Balcer1,4,5, Steven L Galetta1,5, Todd Hudson1,2.   

Abstract

OBJECTIVE: To evaluate the performance of the EyeTribe compared to the EyeLink for eye movement recordings during a rapid number naming test in healthy control participants.
BACKGROUND: With 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).
METHODS: We 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.
RESULTS: EyeTribe 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.
CONCLUSION: Caution is advised prior to implementation of low-resolution eye trackers for objective saccade assessment and sideline concussion screening.

Entities:  

Keywords:  Concussion; eye movement measurements; eye movements; king-devick; rapid number naming; saccades; video oculography

Mesh:

Year:  2017        PMID: 29211506      PMCID: PMC6028183          DOI: 10.1080/02699052.2017.1374469

Source DB:  PubMed          Journal:  Brain Inj        ISSN: 0269-9052            Impact factor:   2.311


  17 in total

1.  Recording eye movements with video-oculography and scleral search coils: a direct comparison of two methods.

Authors:  J N van der Geest; M A Frens
Journal:  J Neurosci Methods       Date:  2002-03-15       Impact factor: 2.390

Review 2.  What clinical disorders tell us about the neural control of saccadic eye movements.

Authors:  Stefano Ramat; R John Leigh; David S Zee; Lance M Optican
Journal:  Brain       Date:  2006-11-21       Impact factor: 13.501

Review 3.  Distributed hierarchical processing in the primate cerebral cortex.

Authors:  D J Felleman; D C Van Essen
Journal:  Cereb Cortex       Date:  1991 Jan-Feb       Impact factor: 5.357

4.  Measuring saccade peak velocity using a low-frequency sampling rate of 50 Hz.

Authors:  Roel Wierts; Maurice J A Janssen; Herman Kingma
Journal:  IEEE Trans Biomed Eng       Date:  2008-12       Impact factor: 4.538

5.  The King-Devick test as a determinant of head trauma and concussion in boxers and MMA fighters.

Authors:  K M Galetta; J Barrett; M Allen; F Madda; D Delicata; A T Tennant; C C Branas; M G Maguire; L V Messner; S Devick; S L Galetta; L J Balcer
Journal:  Neurology       Date:  2011-02-02       Impact factor: 9.910

6.  Differential eye movements in mild traumatic brain injury versus normal controls.

Authors:  David X Cifu; Joanna R Wares; Kathy W Hoke; Paul A Wetzel; George Gitchel; William Carne
Journal:  J Head Trauma Rehabil       Date:  2015 Jan-Feb       Impact factor: 2.710

7.  Motor deficits and recovery during the first year following mild closed head injury.

Authors:  Marcus H Heitger; Richard D Jones; John C Dalrymple-Alford; Chris M Frampton; Michael W Ardagh; Tim J Anderson
Journal:  Brain Inj       Date:  2006-07       Impact factor: 2.311

8.  Objectifying eye movements during rapid number naming: Methodology for assessment of normative data for the King-Devick test.

Authors:  John-Ross Rizzo; Todd E Hudson; Weiwei Dai; Ninad Desai; Arash Yousefi; Dhaval Palsana; Ivan Selesnick; Laura J Balcer; Steven L Galetta; Janet C Rucker
Journal:  J Neurol Sci       Date:  2016-01-22       Impact factor: 3.181

9.  Tracking the eye non-invasively: simultaneous comparison of the scleral search coil and optical tracking techniques in the macaque monkey.

Authors:  Daniel L Kimmel; Dagem Mammo; William T Newsome
Journal:  Front Behav Neurosci       Date:  2012-08-14       Impact factor: 3.558

10.  Rapid number naming in chronic concussion: eye movements in the King-Devick test.

Authors:  John-Ross Rizzo; Todd E Hudson; Weiwei Dai; Joel Birkemeier; Rosa M Pasculli; Ivan Selesnick; Laura J Balcer; Steven L Galetta; Janet C Rucker
Journal:  Ann Clin Transl Neurol       Date:  2016-09-01       Impact factor: 4.511

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  3 in total

1.  Eye tracking: empirical foundations for a minimal reporting guideline.

Authors:  Kenneth Holmqvist; Saga Lee Örbom; Ignace T C Hooge; Diederick C Niehorster; Robert G Alexander; Richard Andersson; Jeroen S Benjamins; Pieter Blignaut; Anne-Marie Brouwer; Lewis L Chuang; Kirsten A Dalrymple; Denis Drieghe; Matt J Dunn; Ulrich Ettinger; Susann Fiedler; Tom Foulsham; Jos N van der Geest; Dan Witzner Hansen; Samuel B Hutton; Enkelejda Kasneci; Alan Kingstone; Paul C Knox; Ellen M Kok; Helena Lee; Joy Yeonjoo Lee; Jukka M Leppänen; Stephen Macknik; Päivi Majaranta; Susana Martinez-Conde; Antje Nuthmann; Marcus Nyström; Jacob L Orquin; Jorge Otero-Millan; Soon Young Park; Stanislav Popelka; Frank Proudlock; Frank Renkewitz; Austin Roorda; Michael Schulte-Mecklenbeck; Bonita Sharif; Frederick Shic; Mark Shovman; Mervyn G Thomas; Ward Venrooij; Raimondas Zemblys; Roy S Hessels
Journal:  Behav Res Methods       Date:  2022-04-06

2.  Balance Markers and Saccadic Eye-Movement Measures in Adolescents With Postconcussion Syndrome.

Authors:  Coralie Rochefort; Elizabeth Legace; Chadwick Boulay; Gail Macartney; Kristian Goulet; Roger Zemek; Heidi Sveistrup
Journal:  J Athl Train       Date:  2020-03-27       Impact factor: 2.860

3.  GazeBase, a large-scale, multi-stimulus, longitudinal eye movement dataset.

Authors:  Henry Griffith; Dillon Lohr; Evgeny Abdulin; Oleg Komogortsev
Journal:  Sci Data       Date:  2021-07-16       Impact factor: 6.444

  3 in total

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