Can Computational Measures of Task Performance Predict Psychiatric Symptoms and Changes in Symptom Severity Across Time

Part of paid clinical trials in Los Angeles, California.

Sponsor
California Institute of Technology
Study ID
NCT06705179
Status
Not Yet Recruiting

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Conditions

Eligibility Criteria

Sex
ALL
Age
18 Years - 65 Years
Healthy Volunteers
Accepted

Interventions

  • Behavioral task performance — BEHAVIORAL
    Measures of performance on behavioral tasks

Study Details

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 Dates

Start date
Jan 1, 2025
Status verified
Nov 2024
Primary completion
Dec 31, 2029
Completion
Dec 31, 2029

Study Design

Enrollment
1,100 participants (estimated)
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
BASIC_SCIENCE

Arms

  • Other: Behavioral task battery

Primary Outcome Measure

Changes in DASS depression scale scores [ Time Frame: 12 months ]

Central Contacts

Locations (2)

FacilityCityStateZIPSite coordinators
UCLA Semel Institute for Neuroscience and Human Behavior, University of California, Los AngelesLos AngelesCalifornia90095
Reza Tadayon-nejad, MD PhD
310-206-6389
California Insitute of TechnologyPasadenaCalifornia91125
John O'Doherty, D Phil
626-395-5981

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