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NOT YET RECRUITING
NCT06705179
NA

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

Sponsor: California Institute of Technology

View on ClinicalTrials.gov

Summary

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

Official title: Leveraging Computationally Derived Measures of Individual Differences in Learning and Decision-making to Predict Psychiatric Diagnosis, Symptoms and Changes in Symptom Severity Across Time

Key Details

Gender

All

Age Range

18 Years - 65 Years

Study Type

INTERVENTIONAL

Enrollment

1100

Start Date

2025-01-01

Completion Date

2029-12-31

Last Updated

2024-11-26

Healthy Volunteers

Yes

Interventions

BEHAVIORAL

Behavioral task performance

Measures of performance on behavioral tasks

Locations (2)

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