Cognitive Tasks and Models in a Large Online Sample
Official title: Cognitive Neurocomputational Task Reliability and Clinical Applications Consortium
Run by Washington University School of Medicine · NCT07900893 · Data updated 2026-11-12
This study tests cognitive tasks and computational models in a large online group to see if these tools can help predict symptoms like hallucinations and delusions in the general population.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 18 Years to 59 Years |
| Sex | All |
| Enrollment | 10000 (estimated) |
| Sponsor | Washington University School of Medicine Academic / other |
| Locations | 2 sites (Minneapolis, Minnesota and 1 other locations) |
| Status | Recruiting |
| Started | December 1, 2026 |
| Main results expected | June 30, 2031 |
| Study ends | June 30, 2031 |
| Registry record updated | November 9, 2026 |
| Trial ID | NCT07900893 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults 18–59 residing in the United States who can complete online sessions and consent to participate.
✕Probably not a fit
Individuals without current or recent psychosis-like symptoms or those not able to benefit from online behavioral assessments may see limited direct benefit.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
Study 3 will evaluate all tasks and models from Aim 1 in two large online samples of U.S. adults to preregister and then independently confirm hypotheses. The goal is to determine how to test computational algorithms in population-based samples, optimize task length, and understand how predicted factors relate to psychopathology across demographic groups. Participants will complete three 60-minute sessions via Prolific, with efforts to ensure high data quality and representativeness by matching to ACS demographics. General cognitive abilities, self-report measures of voice hearing and delusional thinking, and a set of experimental tasks (motion perception, speech perception, volatility, probabilistic reversal, and Kamin blocking) will be collected to examine relationships with reported symptoms.
Why it matters
Potential benefit: If successful, findings could improve how online cognitive tasks and models screen for or monitor psychosis-related symptoms in diverse populations.
How similar studies have gone: Prior online studies have produced reliable large-sample data and demonstrated the feasibility of population-based cognitive assessment, though this exact computational-psychopathology approach is relatively novel.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Residents of the U.S. * between 18-59 years of age Exclusion Criteria: * Resides outside of U.S. * under 18 or over 59 years of age
Where it's running
-
University of Minnesota
Minneapolis, Minnesota, United States Recruiting -
Washington University
St Louis, Missouri, United States Recruiting
Study contacts
- Principal investigator: Deanna Barch, PhD — Washington University School of Medicine
- Study coordinator: Deanna Barch, PhD
- Email: dbarch@wustl.edu
- Phone: 314-935-8729
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.