MedTrace Logo

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

NCT04358900 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 132

Last updated 2026-05-15

No results posted yet for this study

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.

Conditions

  • Mood Disorders
  • Major Depressive Disorder
  • Bipolar Disorder I
  • Bipolar Disorder II
  • Persistent Depressive Disorder (Dysthymia)
  • Cyclothymia

Sponsors & Collaborators

  • National Institute of Mental Health (NIMH)

    collaborator NIH

  • University of Illinois at Chicago

    lead OTHER

Principal Investigators

  • Olusola Ajilore, MD, PhD · University of Illinois at Chicago

Eligibility

Min Age
25 Years
Max Age
50 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2020-09-17
Primary Completion
2025-03-31
Completion
2025-12-31

Countries

  • United States

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04358900 on ClinicalTrials.gov