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Unobtrusive Monitoring of Affective Symptoms and Cognition Using Keyboard Dynamics (UnMASCK)
Sponsor: University of Illinois at Chicago
Summary
Mood disorders are associated with significant financial and health costs for the United States, partially due to cognitive problems in these patients that can worsen disease course and impair treatment response. This study proposes to use smartphone-based technology to monitor cognitive problems in patients with mood disorders by linking brain network changes with predicted worsening of mood symptoms. The proposed study will provide evidence for using smartphone-based passive sensing as a cost-effective way to predict illness course and treatment response.
Official title: Unobtrusive Monitoring of Affective Symptoms and Cognition Using Keyboard Dynamics
Key Details
Gender
All
Age Range
25 Years - 50 Years
Study Type
OBSERVATIONAL
Enrollment
132
Start Date
2020-09-17
Completion Date
2025-11-30
Last Updated
2025-09-04
Healthy Volunteers
Yes
Conditions
Locations (1)
University of Illinois at Chicago
Chicago, Illinois, United States