Implementation of a Novel Functional Eye-Tracking Biomarker for Multiple Sclerosis

This study aims to develop and validate a sensitive and non-invasive eye-tracking software application. This study will obtain participant responses to brief cognitive tests designed to evaluate several key functions known to be affected by CIS and RRMS and non-invasive eye movement measurements in response to visually presented stimuli during specifically designed eye-tracking tests. The study data will be used to develop machine learning algorithms and validate a software application intended to identify which metrics-or combination thereof-can serve as reliable biomarker of CIS and RRMS disease progression and cognitive status.