Can Computational Measures of Task Performance Predict Psychiatric Symptoms and Changes in Symptom Severity Across Time
Starting soon · Not applicable
Conditions studied: Behavior, Depressive Disorder, Anxiety Disorders, Obsessive Compulsive Disorder (OCD)
In brief
This study investigates the computational mechanisms associated with psychiatric disease dimensions. The study will characterize the relationship between computational parameter estimates of task performance and psychiatric symptoms and diagnoses with a longitudinal approach over a 12 month interval. Participants will be healthy participants recruited through Prolific an on-line crowdsourcing service, and psychiatric patients and healthy participants recruited via UCLA Psychiatry Clinics and UCLA's STAND Program
Key facts
- Study ID
- NCT06705179
- Run by
- California Institute of Technology
- People needed
- 1100
- Starts
- 2025-01-01
- Expected to finish
- 2029-12-31
- Last updated by the study team
- 2024-11-26
Who can join
Age: 18 and older, up to 65. Sex: any. Healthy volunteers: accepted.
Where it is running
- UCLA Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles — Los Angeles, California, United States
- California Insitute of Technology — Pasadena, California, United States
Full record on ClinicalTrials.gov
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