Unobtrusive Monitoring of Affective Symptoms and Cognition Using Keyboard Dynamics (UnMASCK)

Completed

Conditions studied: Mood Disorders, Major Depressive Disorder, Bipolar Disorder I, Bipolar Disorder II, Persistent Depressive Disorder (Dysthymia), Cyclothymia

In brief

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.

Key facts

Study ID
NCT04358900
Run by
University of Illinois at Chicago
People needed
132
Starts
2020-09-17
Expected to finish
2025-12-31
Last updated by the study team
2026-05-15

Who can join

Age: 25 and older, up to 50. Sex: any. Healthy volunteers: accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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