Cognitive Neurocomputational Task Reliability and Clinical Applications Consortium
Washington University School of Medicine
Summary
In Study 2, investigators will recruit individuals with schizophrenia (SZ) and or schizoaffective disorder (SZA) and healthy controls (HC) using optimized behavioral tasks to replicate the behavioral findings from Study 1 and to assess additional psychometric properties such as test re-test reliability and practice effects. Investigators will obtain data on: A) clinical symptoms, with detailed assessment of hallucinations and delusions; B) community functioning; and C) functional capacity, allowing us to examine clinical validity. To generate a sample with sufficient variation in hallucinations and delusions, investigators will recruit the following groups that balance feasibility with clinical relevance: A) healthy controls \[HC, N=125\]; B) schizophrenia and schizoaffective disorder \[SZ/SZA, N=200\]). Investigators anticipate a \~20% screen fail/drop-out rate based upon prior studies. Thus, investigators will run an additional 40 SZ/SZA and 15 HC. Investigators will administer tasks optimized in Aim 1 without electroencephalogram (EEG), to this new sample of individuals with SZ/SZA and HC. All participants will be retested after approximately 28 days and repeat clinical assessments. Although the investigators' goal is to shorten task length using the Study 1 analyses, they will administer longer tasks than optimal for public dissemination in Study 2 to determine the minimum number of trials required for acceptable reliability. Study 2 will use the same clinical and functional measures as Study 1.
Description
Each participant will complete 3 sessions (\~3 hours each) within 3 weeks at baseline. The first session includes clinical, self-report, proxy function, and community function assessments. Sessions 2-3 are for task. Each participant will complete 7 tasks across these sessions. Task order will be counterbalanced across sessions. Participants will return after 28 days and repeat these same 3 sessions. Clinical Assessment and Self-Report: A trained assessor will diagnose participants using the Structured Clinical Interview (SCID-5) for Diagnostic and Statistical Manual of Mental Disorders, 5th E…
Eligibility
- Age range
- 18–59 years
- Sex
- All
- Healthy volunteers
- Yes
Inclusion Criteria: General Inclusion1)age 18 to 59 ; 2)no substance disorder in past six months (confirmed with urine drugscreens and breathalyzers); 3) no clinically significant head injury or neurological disease; 4) WechslerTest of Adult Reading (WTAR) score =16+. Group Specific Criteria: Schizophrenia/SchizoaffectiveDisorder (SZ/SZA): 1\) Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-5) diagnosis ofschizophrenia or schizoaffective; 2) no medication changes in prior month or anticipated in the next month or not taking medications; 3)outpatient or partial hospit…
Interventions
- BehavioralMotion Perception Task
Assesses updating of beliefs from new sensory inputs with prior knowledge via perceiving direction changes in random dot motion stimuli
- BehavioralSine Wave Speech Task
Measures the degree to which overweighting of prior beliefs impacts processing of sensory inputs (detection of speech).
- BehavioralVolatility Task
Measures the updating of priors about the location of a bag drop from a helicopter when the location changes (prediction errors).
- BehavioralChoice Probabilistic Reversal Task
Assesses prior belief updating when feedback about obtaining positive outcomes changes (prediction errors).
- BehavioralKamin Blocking Task
Examines the role of mismatches between learned priors and new information (prediction errors) in belief formation about event causes.
- BehavioralMinnesota Trust Game
Assesses the degree to which people distinguish between their priors about others' motivations, such as selfishness and spite, and impersonal chance in one-shot trust game and dictator games.
- BehavioralDynamic Trust Game
Assesses degree to which people learn and update priors about trusting partners from dynamic social feedback (prediction error) in a social exchange game.
Locations (5)
- University of California IrvineIrvine, California
- The University of ChicagoChicago, Illinois
- University of Maryland, BaltimoreBaltimore, Maryland
- University of MinnesotaMinneapolis, Minnesota
- Washington UniversitySt Louis, Missouri