Literature DB >> 30706347

Development and validation of a high-speed video system for measuring saccadic eye movement.

Jeffrey S Brooks1, William J Smith1, Brandon M Webb1, Matthew D Heath1, James P Dickey2.   

Abstract

Laboratory-based retroreflective and magnetic scleral search-coil technologies are the current standards for collecting saccadometric data, but such equipment is costly and cumbersome. We have validated a novel, portable, high-speed video camera-based system (Exilim EX-FH20, Casio, Tokyo, Japan) for measuring saccade reaction time (RT) and error rate in a well-lit environment. This system would enable measurements of pro- and antisaccades in athletes, which is important because antisaccade metrics provide a valid tool for concussion diagnosis and determining an athlete's safe return to play. A total of 529 trials collected from 15 participants were used to compare saccade RT and error rate measurements of the high-speed camera system to a retroreflective video-based eye tracker (Eye-Trac 6: Applied Sciences Laboratories, Bedford, MA). Bland-Altman analysis revealed that the RT measurements made by the high-speed video system were 11 ms slower than those made by the retroreflective system. Error rate measurements were identical between the two systems. An excellent degree of reliability was found between the system measurements and in the ratings of independent researchers examining the video data. A strong association (r = .97) between the RTs determined via the retroreflective and high-speed camera systems was observed across all trials. Our high-speed camera system is portable and easily set up, does not require extensive equipment calibration, and can be used in a well-lit environment. Accordingly, the camera-based capture of saccadometric data may provide a valuable tool for neurological assessment following a concussive event and for the continued monitoring of recovery.

Entities:  

Keywords:  Antisaccades; Brain; Eye tracker; Oculomotor; Prosaccades; Reaction time; Subconcussive impacts

Mesh:

Year:  2019        PMID: 30706347     DOI: 10.3758/s13428-019-01197-2

Source DB:  PubMed          Journal:  Behav Res Methods        ISSN: 1554-351X


  3 in total

1.  Tracking Eye Movements During Sleep in Mice.

Authors:  Qingshuo Meng; Xinrong Tan; Chengyong Jiang; Yanyu Xiong; Biao Yan; Jiayi Zhang
Journal:  Front Neurosci       Date:  2021-02-25       Impact factor: 4.677

2.  Evaluating the efficacy of an iPad® app in determining a single bout of exercise benefit to executive function.

Authors:  Benjamin Tari; Matthew Heath
Journal:  Behav Res Methods       Date:  2021-12-16

Review 3.  A Framework to Advance Biomarker Development in the Diagnosis, Outcome Prediction, and Treatment of Traumatic Brain Injury.

Authors:  Elisabeth A Wilde; Ina-Beate Wanner; Kimbra Kenney; Jessica Gill; James R Stone; Seth Disner; Caroline Schnakers; Retsina Meyer; Eric M Prager; Magali Haas; Andreas Jeromin
Journal:  J Neurotrauma       Date:  2022-02-14       Impact factor: 5.269

  3 in total

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