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

NCT06705179 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 1100

Last updated 2024-11-26

No results posted yet for this study

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

Conditions

  • Behavior
  • Depressive Disorder
  • Anxiety Disorders
  • Obsessive Compulsive Disorder (OCD)

Interventions

BEHAVIORAL

Behavioral task performance

Measures of performance on behavioral tasks

Sponsors & Collaborators

  • California Institute of Technology

    lead OTHER

Principal Investigators

  • John P O'Doherty, D.Phil · California Institute of Technology

Study Design

Allocation
NA
Purpose
BASIC_SCIENCE
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Max Age
65 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2025-01-01
Primary Completion
2029-12-31
Completion
2029-12-31

Countries

  • United States

Study Locations

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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 NCT06705179 on ClinicalTrials.gov