Clinical trial Recruiting at 2 sites Interventional Ages 18 to 59

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 typeInterventional
Ages18 Years to 59 Years
SexAll
Enrollment10000 (estimated)
SponsorWashington University School of Medicine
Academic / other
Locations2 sites (Minneapolis, Minnesota and 1 other locations)
StatusRecruiting
StartedDecember 1, 2026
Main results expectedJune 30, 2031
Study endsJune 30, 2031
Registry record updatedNovember 9, 2026
Trial IDNCT07900893 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

Similar studies

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How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.