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Updated: Feb 2, 2026

The Multiple Sclerosis Performance Test MSPT: An iPad-Based Disability Assessment Tool
Published on: June 30, 2014
Subclinical Saccadic Eye Movement Dysfunction in Pediatric Multiple Sclerosis
Andrew Yousef1, Michael Devereux1, Pierre-Antoine Gourraud2,3
11 Department of Neurology, University of California San Francisco, San Francisco, CA, USA.
Insights
Eye-tracking effectively detects efferent visual dysfunction in pediatric multiple sclerosis (MS). Children with MS showed longer saccadic latencies, indicating early visual pathway involvement, even with mild disease.
Area of Science:
- Ophthalmology
- Neurology
- Pediatrics
Background:
- Efferent visual dysfunction in children can negatively impact daily life and academic performance.
- Eye-tracking technology offers a sensitive method to detect subtle visual impairments not apparent during bedside examinations.
- This technology's utility has not been previously established in pediatric multiple sclerosis (MS).
Purpose of the Study:
- To assess the feasibility of using eye-tracking in children diagnosed with multiple sclerosis.
- To investigate the association between eye-tracking metrics and multiple sclerosis in pediatric patients.
Main Methods:
- Recruited pediatric multiple sclerosis patients without acute visual abnormalities and age-matched healthy controls.
- Utilized saccade and antisaccade testing paradigms with eye-tracking technology.
- Employed generalized estimating equations to compare saccadic and antisaccadic latencies between groups, adjusting for age and clinical factors like Expanded Disability Status Scale (EDSS) and Symbol Digit Modalities Test (SDMT) scores.
Main Results:
- Fifteen children with pediatric MS (30 eyes) and 6 healthy controls (12 eyes) were eye-tracked.
- High intertest repeatability (Intraclass correlation coefficient = 0.85) was observed.
- Children with MS exhibited significantly longer saccadic latencies (60 ms longer) compared to controls (P = .0005), with a similar trend for antisaccadic latencies (P = .06).
Conclusions:
- Eye-tracking is a feasible, non-invasive tool with high repeatability for pediatric MS research.
- Longer saccadic latencies in children with MS suggest early efferent visual pathway involvement, even with short disease duration and low EDSS scores.
Background:
Efferent visual dysfunction in children could lead to impaired quality of life at home and school. Eye-tracking can detect subtle efferent dysfunction missed on bedside examination but has not been validated in the pediatric multiple sclerosis population.
Objective:
We sought to determine the feasibility of eye-tracking in children and associations with multiple sclerosis.
Methods:
Participants meeting criteria for pediatric multiple sclerosis without acute efferent vision abnormalities and healthy controls were recruited. Multiple sclerosis participants underwent a clinical assessment and saccade and antisaccade testing paradigms. Intraclass correlation coefficients were generated for intertest repeatability. Adjusting for age and intereye correlations, generalized estimating equations compared latencies with case status, Expanded Disability Status Scale and Symbol Digit Modalities Test (SDMT) scores.
Results:
We eye-tracked 15 children with multiple sclerosis (n = 30 eyes, mean age 15.6 ± 2.1, mean disease duration 3.9 years, median Expanded Disability Status Scale 1.5) compared to 6 healthy controls (n = 12 eyes, age 14.3 ± .95). The intraclass correlation coefficient for repeated trials was 0.85. Adjusting for age, saccadic latency was 60 milliseconds (ms) longer for cases than controls (95% confidence interval = 26.4, 93.8; P = .0005). For antisaccadic latency, we observed a similar trend of 60 ms longer for cases than controls ( P = .06).
Conclusion:
Eye-tracking is a short noninvasive examination, and high intertest repeatability supports use of eye-tracking technology in pediatric multiple sclerosis. Longer saccadic latencies were seen in children with multiple sclerosis despite short disease duration and low Expanded Disability Status Scale scores.
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