Abstract Details

Title Video-based Eye Tracking Distinguishes Follow Up OMAS Patients from Controls

Topic Child Neurology and Developmental Neurology

Presentation(s) S38 - Child Neurology and Developmental Neurology: Acquired Brain Injury: Brain-Behavior Relationships (2:24 PM-2:36 PM)

Poster/Presentation
Number 008

Objective

To assess the differences between eye tracking in patients with a history of opsoclonus myoclonus ataxia syndrome (OMAS) compared to healthy controls.

Background OMAS is a rare, immune-mediated neurological disorder affecting predominantly infants and young children resulting in long-term behavioural and learning problems despite resolution of other neurological symptoms. Video-based eye tracking is a non-invasive method whose results correlate with cognitive functions in other populations. Normalized Scanpath Saliency (NSS) scores are derived from computational saliency models using feature maps in channels such as luminance, flicker, motion, faces and colours. When a new video clip starts, saliency scores for the first 3 saccades have been shown to be driven by bottom-up processing whereas saccades 4+ are driven more by top-down processing.

Design/Methods This cross-sectional study included youth (n=12, 8F, median age 67months, IQR44-72) with a history of OMAS and healthy age and sex matched controls (n=12, 8F, median age 60.5months IQR44-97). Standardized collection of clinical data included demographics, clinical, laboratory and imaging results. Video-based eye tracking was performed using the Eyelink1000 eye tracker (SR Research Ltd, Ottawa, Canada). Statistical analysis was performed using JASP (version 0.11.1).

Results Significant differences (p < 0.05) existed in mean NSS parameters between OMAS patients and controls, including: flicker NSS (1-3) (3.55 vs 4.26, p=0.037), orientation NSS (1-3) (2.36 vs 2.67, p=0.044), red-green NSS (1-3) (3.2 vs 3.6, p=0.043), blue-yellow NSS (4+) (2.5 vs 3.0, p=0.022), luminance NSS (4+) (2.4 vs 2.8, p=0.044), and face NSS (4+) (2.7 vs 3.9 p=0.004).

Conclusions Video-based eye tracking distinguishes OMAS patients from controls, particularly when looking at both bottom-up and top-down saliency measures suggesting differences in both attention and cognitive processing. This may manifest clinically in reaction time metrics. Future studies are needed to confirm these findings and investigate correlations between cognitive metrics and eye tracking results.

Authors/Disclosures
Kaajal Parbhoo, MBBS (Nelson Mandela Children's Hospital) PRESENTER	No disclosure on file
	No disclosure on file
	No disclosure on file
	No disclosure on file
	No disclosure on file
E. Ann Yeh, MD, MA, FRCPC (Hosptial for Sick Children)	Dr. Yeh has received personal compensation in the range of $500-$4,999 for serving on a Scientific Advisory or Data Safety Monitoring board for Roche. Dr. Yeh has received personal compensation in the range of $500-$4,999 for serving on a Speakers Bureau for PRIME. Dr. Yeh has received personal compensation in the range of $500-$4,999 for serving on a Speakers Bureau for Novartis. Dr. Yeh has received personal compensation in the range of $500-$4,999 for serving as an Editor, Associate Editor, or Editorial Advisory Board Member for Elsevier. The institution of Dr. Yeh has received research support from Biogen. The institution of Dr. Yeh has received research support from Stem Cell Network. The institution of Dr. Yeh has received research support from CIHR. The institution of Dr. Yeh has received research support from Ontario Institute for Regenerative Medicine. The institution of Dr. Yeh has received research support from National MS Society. The institution of Dr. Yeh has received research support from NIH. The institution of Dr. Yeh has received research support from SickKids Foundation. The institution of Dr. Yeh has received research support from CMSC. The institution of Dr. Yeh has received research support from MSSC.

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