Eye-tracking Investigation of Clinical Measures in Multiple Sclerosis
Eye-tracking Investigation of Clinical Measures in Multiple Sclerosis
The overarching goal of this research protocol is to acquire eye-tracking, cognitive, and disease-severity metrics in MS patients to train machine learning algorithms that will support the development and performance assessment of a sensitive and non-invasive eye-tracking software application. The training of our 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.
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.
Inclusion Criteria:
Exclusion Criteria: