Optimizing Detection and Prediction of Cognitive Function in Multiple Sclerosis With Ambulatory Cognitive Tests:...

Area of Science:

• Neurology
• Cognitive Science
• Digital Health

Background:

• Cognitive dysfunction is prevalent in multiple sclerosis (MS), but traditional tests lack sensitivity and real-world applicability.
• Ambulatory assessment methods offer potential for improved detection of subtle cognitive changes and identification of influencing factors in MS.

Purpose of the Study:

• To describe the design and protocol of the 2-year longitudinal CogDetect-MS study.
• To examine short- and long-term cognitive changes in MS.
• To identify predictors of cognitive change and its effects on social and physical function.

Main Methods:

• Longitudinal observational study of ambulatory adults with MS over 2 years (3 assessments).
• Utilized a comprehensive survey battery, in-laboratory cognitive/physical tests, and 14-day ambulatory data collection (accelerometry, ecological momentary assessments, smartphone-based cognitive tests).
• Employed rigorous examiner certification and planned advanced statistical analyses, including mixed-effects models.

Main Results:

• The study successfully recruited 274 adults with MS, exceeding the target of 250 participants.
• Enrollment began May 12, 2022, with data collection ongoing through March 2026.
• Study funding secured in August 2021, with IRB approval in January 2022.

Conclusions:

• Results will elucidate temporal dynamics of cognitive function, symptoms, sleep, and activity in MS.
• Insights aim to enhance understanding of cognitive changes in MS.
• Potential to inform new interventions for maintaining or improving cognitive function in individuals with MS.