This study will use a single group design in a cohort of MS patients. Eligible patients with MS will be selected and categorized based on their Expanded Disability Status Scale (EDSS) score. Patients eye movements will be captured using the patented eye-tracking technology at one single time point. In addition to the eye-tracking tests, patient phenotypes will be further detailed via brief functional and cognitive assessments using the EDSS, Brief International Cognitive Assessment for MS (BICAMS) and Multiple Sclerosis Functional Composite (MSFC). All patients will be required to participate in a single session.
The overarching goal of this research protocol is to acquire eye-tracking, cognitive, and disease-severity metrics in multiple sclerosis (MS) patients to further build up a database of MS patients and train a machine learning classifying algorithms to identify which eye-tracking metrics-or combination thereof-can serve as reliable markers of MS disease severity and cognitive status.