Development and Validation of a Novel Functional Eye-Tracking Software Application for Neurological Disorders

Official Summary

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 neurological disorders 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 track the progressive component of neurological disorders and associated cognitive changes.

Study Design

• Study Type: OBSERVATIONAL
• Enrollment: 300 participants

Interventions

• DEVICE: Eye-tracking — Eye-tracking technology and algorithms used to successfully capture and track eye movements using an electronic tablet and the embedded camera of the device.

Primary Outcomes

• Symbol Digit Modalities Test (SDMT) score, one time, at the day of enrolment. (Baseline)

Secondary Outcomes

• Brief International Cognitive Assessment for MS (BICAMS) score, one time, at the day of enrolment. (Baseline)
• Multiple sclerosis functional composite (MSFC) score, one time, at the day of enrolment. (Baseline)
• The Montreal Cognitive Assessment (MoCA) score, one time, at the day of enrolment. (Baseline)
• The Mini-Mental State Exam (MMSE) score, one time, at the day of enrolment. (Baseline)
• The Controlled Oral Word Association Test (COWAT) score, one time, at the day of enrolment. (Baseline)

Trial Locations

• Innodem Neurosciences, Montreal, Quebec, Canada

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