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NCT04358900: UnMASCK

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

Active, enrolled Last updated 4 September 2025
What this trial tests

trial in Mood Disorders in 132 participants. Participants enrolled and being followed up; not accepting new ones.

Timeline
17 September 2020
Primary endpoint
31 March 2025
30 November 2025

Quick facts

Lead sponsorUniversity of Illinois at Chicago
StatusActive, enrolled
Study typeOBSERVATIONAL
Enrollment132
Start date17 September 2020
Primary completion31 March 2025
Estimated completion30 November 2025
Sites1 location across United States

Conditions studied

Sponsor

University of Illinois at Chicago

Who can join

Adults 25 to 50, any sex, with Mood Disorders or Major Depressive Disorder. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

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.

Publications & conference data

3 peer-reviewed publications reference this trial (live from Europe PMC):

  1. Assessment of cognitive function in bipolar disorder with passive smartphone keystroke metadata: a BiAffect digital phenotyping study.
    Ajilore O, Bark JS, Demos AP, Zulueta J, et al · · 2025 · cited 2× · PMID 40115651 · DOI 10.3389/fpsyt.2025.1430303
  2. Keying Into Cognition: Temporal Smoothing of Smartphone Typing Behaviors for Passive Assessment of Processing Speed and Executive Function in Individuals With Mood Disorders.
    Ross MK, Tulabandhula T, Nguyen TM, Ning E, et al · · 2026 · cited 1× · PMID 41938101 · DOI 10.1007/s12559-026-10549-y
  3. A heterotrimeric G protein (Gsα) biomarker may predict antidepressant response in subjects with major depressive disorder.
    Targum SD, Gunay A, Leow A, Ajilore OA, et al · · 2025 · PMID 40756308 · DOI 10.3389/fpsyt.2025.1619243

Verify or expand the search:

Other recruiting trials for Mood Disorders

Currently open trials in the same condition.

Other University of Illinois at Chicago trials

Trials by the same sponsor.

Verify against primary sources

Data sources for this page

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