Computer thinking tasks and hallucinations or delusions in adults
Tests computer-based thinking tasks in adults from the general community.
Plain-language title generated from the registry record
Registry title: Cognitive Neurocomputational Task Reliability and Clinical Applications Consortium: Study 3
Key facts
- Where
- Minneapolis and St Louis, United StatesSee the 2 sites
Could this be for you?
Answer for yourself. This is not a decision: only the study team can say whether you can take part.
- Are you between 18 and 59 years old?
Source: NCT07900893, who can take part
Where in United States
- University of MinnesotaMinneapolis, United StatesTaking people
- Washington UniversitySt Louis, United StatesTaking people
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- Washington University School of Medicine
- Trial code
- NCT07900893
- Record updated
- 9 November 2026
- Original description
In Study 3, all tasks and models from Aim 1 will be evaluated in a large community sample of online participants recruited through Prolific.Read full original descriptionShow less
Cognitive Neurocomputational Task Reliability and Clinical Applications Consortium
In Study 3, all tasks and models from Aim 1 will be evaluated in a large community sample of online participants recruited through Prolific.
Aim 3 will establish 1) requirements for testing computational algorithms in population-based samples, 2) whether task length is optimal, and 3) whether computational parameters help predict psychopathology (hallucinations and delusions in particular) in the general population, and how these predictors may be impacted by demographic variables, such as race, ethnicity, gender, age and other social determinants of health.
Participant demographics will be matched to the U.S. Census 2023 American Community Survey (ACS) data release (updated as available). MPI MacDonald has successfully recruited large online samples for over a decade.
Specifically, researchers will recruit two samples of n=2,000 to preregister hypotheses and then n=3,000 to independently confirm those hypotheses. Multiple methods will affirm the highest quality human self-report and behavioral data for online samples.
Researchers use Prolific, which is known for high quality research participation, maintaining low levels of bots through strategies such as requiring a photo ID and a waiting period. Second, inclusion criteria will require an approval rating of 90-100% from previous researchers. Participants will complete three sessions, each limited to ~60 min to avoid burnout.
Inclusion: Residents of the U.S; between 18-59 years of age.
Exclusion: under 18 or over 59 years of age; Resides outside of U.S.