June 2022
Volume 63, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2022
Quantifying eye movement impairment in children with brain injury
Author Affiliations & Notes
  • Scott W. J. Mooney
    Center for Vision Restoration, Burke Neurological Institute, White Plains, New York, United States
    Brain & Mind Research Institute, Weill Cornell Medicine, New York, New York, United States
  • Nazia M Alam
    Center for Vision Restoration, Burke Neurological Institute, White Plains, New York, United States
  • Glen Thomas Prusky
    Center for Vision Restoration, Burke Neurological Institute, White Plains, New York, United States
    Department of Physiology and Biophysics, Weill Cornell Medicine, New York, New York, United States
  • Footnotes
    Commercial Relationships   Scott Mooney 16/661,596, Code P (Patent); Nazia Alam None; Glen Prusky 16/661,596, Code P (Patent)
  • Footnotes
    Support  NIH Grant 5R01EY030156-02
Investigative Ophthalmology & Visual Science June 2022, Vol.63, 2783 – A0318. doi:
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    • Get Citation

      Scott W. J. Mooney, Nazia M Alam, Glen Thomas Prusky; Quantifying eye movement impairment in children with brain injury. Invest. Ophthalmol. Vis. Sci. 2022;63(7):2783 – A0318.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : Children with brain injury often exhibit cognitive or communicative deficits that impede conventional vision assessment. Ocular abnormalities in such children can often only be assessed with qualitative or low-resolution techniques. We used a novel vision test powered by eye tracking to determine whether spatial asymmetries in eye movements can be reliably quantified in children with brain injury.

Methods : We measured saccade and pursuit eye movements in 69 children with and 14 children without brain injury (age 3 to 18) during an interactive game-like program called the Visual Ladder, in which the user pops randomly placed/moving virtual bubbles by fixating or tracking them. Mean saccade and pursuit distance for each child were binned into various opposing directional categories to analyze normative asymmetries and identify the children who deviated furthest from the line of best fit (>2 SD) in each comparison.

Results : Both healthy and brain-injured children exhibited significantly longer horizontal saccades/pursuits than vertical and longer downward saccades than upward (all p < .001; Fig. 1), in agreement with previously established biases. There were no other significant asymmetries. Children with brain injury did not have shorter saccades than healthy children, but did have significantly shorter pursuits (p < .001), which may be partially due to more fragmented pursuit detection from increased noise, and a wider spread for both saccades and pursuits. The 23 outliers detected across the six comparisons (red in Fig. 1) comprised 16 different children with brain injury, revealing how brain injury can manifest in distinct eye movement impairments.

Conclusions : Our results demonstrate that the Visual Ladder can detect and quantify eye movement asymmetries in children with brain injury, including non-verbal children, and suggest that eye movements may be largely healthy in many such children. Further analysis will be needed to relate the distinct impairments apparent in our data to particular disease diagnoses and outcomes.

This abstract was presented at the 2022 ARVO Annual Meeting, held in Denver, CO, May 1-4, 2022, and virtually.

 

Scatter plots depicting comparisons of mean saccade (top row) and pursuit (bottom row) distance between pairs of directional bins. Each mark represents a child with (black cross) or without brain injury (blue circle). Children who deviated >2 SD from the line of best fit in each plot are highlighted in red. The gray dotted lines indicate the relationship that would be expected with no asymmetry.

Scatter plots depicting comparisons of mean saccade (top row) and pursuit (bottom row) distance between pairs of directional bins. Each mark represents a child with (black cross) or without brain injury (blue circle). Children who deviated >2 SD from the line of best fit in each plot are highlighted in red. The gray dotted lines indicate the relationship that would be expected with no asymmetry.

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