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Not yet recruitingNCT07875790CNTRACS 2Updated Oct 23, 2026

Cognitive Neurocomputational Task Reliability and Clinical Applications Consortium: Study 2

An interventional study of Motion Perception Task and Sine Wave Speech Task in SCHIZOPHRENIA 1 (Disorder), Schizo Affective Disorder and Healthy Adult, sponsored by Washington University School of Medicine. Not yet recruiting at 5 sites in United States. Open to participants aged 18 Years to 59 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-10-23.

Sponsored by Washington University School of Medicine · Not applicable, Interventional, and Basic science

Updated Oct 23, 2026Eligibility revisedNewly registeredGo to Updates ↓
Phase
Not applicable
Study type
Interventional
Enrollment
325
Allocation
Not applicable
Ages
18 Years to 59 Years
Sex
All
01

Study 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.

Read the detailed 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 Edition (DSM-5) Text Revision 59 (TR59). Clinicians will rate hallucination and delusion symptom severity with the Chicago Hallucinations Assessment Tool (CHAT) and the Brief Psychiatric Rating Scale (BPRS). Investigators will use the Psychotic Symptom Rating Scales (PSYRATS) to evaluate the degree of preoccupation, conviction, distress, and life disruption associated with hallucinations and delusions elicited on the BPRS and CHAT. To address specificity, investigators will administer the Clinical Assessment Interview for Negative Symptoms (CAINS). For self-report, investigators will use the Beliefs about Voices Scale which assesses attributions about the origin and power of voices, and the Yale Control Over Perceptual Experiences (COPE) scale, which evaluates the extent to which people feel they can exert control over their voices. Investigators also will use the Peters Delusion Inventory to assess the extent of delusional thinking, supplemented by the Green Paranoia Scale to provide additional coverage of persecutory beliefs. To assess specificity, investigators will use the Patient Health Questionnaire (PHQ-9) to assess depression, the Generalized Anxiety Disorder Scale (GAD-7) to assess anxiety, and the Motivation and Pleasure Scale-Self-Report (MAP-SR) to assess anhedonia and motivation. Investigators will conduct a principal components analysis (PCA) on measures of the same construct (e.g., delusions) and perform primary analyses using the first principal component, followed by secondary analyses of specific measures False Discovery Rate (FDR) correction.

Community Function: Patients will complete the Specific Levels of Functioning (SLOF) scale, a validated scale of work and community function. National Institute of Mental Health (NIMH) Common Data Elements: Investigators will acquire the additional NIMH Tier 1 Common Data elements (e.g., World Health Organization Disability Assessment Schedule 2 (WHODAS 2.0) \& DSM-5 Symptom Measure). Investigators will include standard general cognitive measures to assess the specificity of effects beyond general cognitive impairment. Specifically, investigators will include validated online measures from TestMyBrain (https://www.testmybrain.org/using-tmb/research.html; Digit Symbol Coding, Vocabulary, and Matrix Reasoning), as in our prior work in both clinical and healthy populations.

02

Conditions studied

  • SCHIZOPHRENIA 1 (Disorder)
  • Schizo Affective Disorder
  • Healthy Adult

Keywords

  • schizophrenia
  • schizo-affective
  • healthy controls
03

In context

Psychotic Disorders

1,655 studies on the registry are indexed under Psychotic Disorders; 298 are open to participants now.

This study's planned enrollment of 325 is above the median of 68 across 1,358 interventional studies indexed under Psychotic Disorders.

Browse Psychotic Disorders studies →

Lead sponsor

Washington University School of Medicine is the lead sponsor of 1,795 studies on the registry; 271 are open to participants now.

Of its 330 completed or terminated interventional studies of FDA-regulated products, 216 (65%) have results posted.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
18 Years to 59 Years
Sexes eligible
All
Accepts healthy volunteers
Yes

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

General Inclusion

  • age 18 to 59 ;
  • no substance disorder in past six months (confirmed with urine drug screens and breathalyzers);
  • no clinically significant head injury or neurological disease;
  • WechslerTest of Adult Reading (WTAR) score =16+.

Group Specific Criteria: Schizophrenia/SchizoaffectiveDisorder (SZ/SZA):

  • Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-5) diagnosis ofschizophrenia or schizoaffective;
  • no medication changes in prior month or anticipated in the next month or not taking medications;
  • outpatient or partial hospital if unmedicated
  • Healthy Controls (HC):
  • no Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-5) - Psychosis or BipolarDisorder;
  • no family history of psychosis or bipolar

Exclusion criteria

Exclusion Criteria:

Healthy Controls (HC):

  • Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-5)Psychosis or Bipolar Disorder diagnosis
  • Family history of psychosis, bipolar, or Schizophrenia/Schizoaffective Disorder (SZ/SZA)

additional exclusion criteria for the unmedicated individuals are:

  • not in acute exacerbation requiring immediate hospitalization or treatment;
  • self-reported medication non-compliance for at least the four previous weeks
  • never having started medications
05

Study design

Phase
Not applicable
Primary purpose
Basic science
Allocation
Not applicable
Intervention model
Single group
Masking
None (open label)
Enrollment
325 participants (estimated)

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.

06

What researchers measure

Primary outcomes

  1. Motion Perception Task Performance

    With 15 degrees of initial or changed direction vs. the probability of failing to update

    Time frame: 1 hour

  2. Sine Wave Speech Task Performance

    Percentage of trials coded as speech or not vs Dprime

    Time frame: 1 hour

  3. Volatility Task Performance

    Percent correct bag captures during periods of stability vs. instability - patients worse in both, but particularly impaired in instability vs. Environmental volatility belief parameter

    Time frame: 1 hour

  4. Choice Probabilistic Reversal Performance Task

    Win-switch rate (higher in patients, particularly paranoid patients) vs. (prior on volatility belief updating in response to volatility

    Time frame: 1 hour

  5. Kamin Blocking Task Performance

    Number of times participant predict allergy following blocked cue vs. prediction errors and learning rates

    Time frame: 1 hour

  6. Minnesota Trust Game Performance

    Percent of trusting choices depending on decision-agent and temptation vs. spite-guilt beliefs estimate

    Time frame: 1 hour

  7. Dynamic Trust Game Performance

    Trust indexed by mean investment versus learning rates

    Time frame: 1 hour

07

Study locations

5 sites
  • University of California Irvine
    Irvine, California 92868, United States
  • The University of Chicago
    Chicago, Illinois 60637, United States
  • University of Maryland, Baltimore
    Baltimore, Maryland 21201, United States
  • University of Minnesota
    Minneapolis, Minnesota 55455, United States
  • Washington University
    St Louis, Missouri 63110, United States
08

References and documents

Publications

  • Boudewyn MA, Erickson MA, Winsler K, Ragland JD, Yonelinas A, Frank M, Silverstein SM, Gold J, MacDonald AW 3rd, Carter CS, Barch DM, Luck SJ. Managing EEG studies: How to prepare and what to do once data collection has begun. Psychophysiology. 2023 Nov;60(11):e14365. doi: 10.1111/psyp.14365. Epub 2023 Jun 14. PubMed 37314113 ↗
  • Li C, Boudewyn MA, Barch DM, Carter CS, Frank MJ, Gold JM, MacDonald AW 3rd, Ragland JD, Silverstein SM, Yonelinas A, Luck SJ, Erickson MA. Impacted and preserved sub-domains of cognitive control in schizophrenia. Neuropsychologia. 2026 Sep 9;230:109503. doi: 10.1016/j.neuropsychologia.2026.109503. Epub 2026 May 25. PubMed 42184934 ↗
  • Boudewyn MA, Erickson MA, Winsler K, Barch DM, Carter CS, Frank MJ, Gold JM, MacDonald AW 3rd, Ragland JD, Silverstein SM, Yonelinas AP, Luck SJ. Assessing Trial-by-Trial Electrophysiological and Behavioral Markers of Attentional Control and Sensory Precision in Psychotic and Mood Disorders. Schizophr Bull. 2025 Mar 14;51(2):543-555. doi: 10.1093/schbul/sbae038. PubMed 38616053 ↗
  • MacDonald AW, Patzelt E, Kurth-Nelson Z, Barch DM, Carter CS, Gold JM, Ragland JD, Silverstein SM. Computational modeling of reversal learning impairments in schizophrenia and bipolar disorder reveals shared failure to exploit rewards. J Psychopathol Clin Sci. 2025 Apr;134(3):262-271. doi: 10.1037/abn0000944. Epub 2025 Mar 10. PubMed 40063391 ↗
  • Erickson MA, Boudewyn MA, Winsler K, Li C, Barch DM, Carter CS, Frank MJ, Gold JM, MacDonald AW 3rd, Ragland JD, Silverstein SM, Yonelinas A, Luck SJ. Dysfunctional Alpha Modulation as a Mechanism of Working Memory Impairment in Serious Mental Illness. Biol Psychiatry Cogn Neurosci Neuroimaging. 2024 Dec;9(12):1271-1280. doi: 10.1016/j.bpsc.2024.07.022. Epub 2024 Aug 6. PubMed 39117276 ↗
  • Barch DM, Boudewyn MA, Carter CC, Erickson M, Frank MJ, Gold JM, Luck SJ, MacDonald AW 3rd, Ragland JD, Ranganath C, Silverstein SM, Yonelinas A. Cognitive [Computational] Neuroscience Test Reliability and Clinical Applications for Serious Mental Illness (CNTRaCS) Consortium: Progress and Future Directions. Curr Top Behav Neurosci. 2023;63:19-60. doi: 10.1007/7854_2022_391. PubMed 36173600 ↗
  • Rac-Lubashevsky R, Cremer A, Collins AGE, Frank MJ, Schwabe L. Neural Index of Reinforcement Learning Predicts Improved Stimulus-Response Retention under High Working Memory Load. J Neurosci. 2023 Apr 26;43(17):3131-3143. doi: 10.1523/JNEUROSCI.1274-22.2023. Epub 2023 Mar 17. PubMed 36931706 ↗
  • Kwashie AN, Ma Y, Barch DM, Chafee M, Ragland JD, Silverstein SM, Carter CS, Gold JM, MacDonald AW 3rd. Comparing the functional neuroanatomy of proactive and reactive control between patients with schizophrenia and healthy controls. Cogn Affect Behav Neurosci. 2023 Feb;23(1):203-215. doi: 10.3758/s13415-022-01036-6. Epub 2022 Nov 23. PubMed 36418846 ↗
  • Liu RG, Frank MJ. Hierarchical clustering optimizes the tradeoff between compositionality and expressivity of task structures for flexible reinforcement learning. Artif Intell. 2022 Nov;312:103770. doi: 10.1016/j.artint.2022.103770. Epub 2022 Aug 5. PubMed 36711165 ↗
  • Pratt DN, Barch DM, Carter CS, Gold JM, Ragland JD, Silverstein SM, MacDonald AW. Reliability and Replicability of Implicit and Explicit Reinforcement Learning Paradigms in People With Psychotic Disorders. Schizophr Bull. 2021 Apr 29;47(3):731-739. doi: 10.1093/schbul/sbaa165. PubMed 33914891 ↗
  • Geana A, Barch DM, Gold JM, Carter CS, MacDonald AW 3rd, Ragland JD, Silverstein SM, Frank MJ. Using Computational Modeling to Capture Schizophrenia-Specific Reinforcement Learning Differences and Their Implications on Patient Classification. Biol Psychiatry Cogn Neurosci Neuroimaging. 2022 Oct;7(10):1035-1046. doi: 10.1016/j.bpsc.2021.03.017. Epub 2021 Apr 18. PubMed 33878489 ↗
  • Hamid AA, Frank MJ, Moore CI. Wave-like dopamine dynamics as a mechanism for spatiotemporal credit assignment. Cell. 2021 May 13;184(10):2733-2749.e16. doi: 10.1016/j.cell.2021.03.046. Epub 2021 Apr 15. PubMed 33861952 ↗
  • Moran EK, Gold JM, Carter CS, MacDonald AW 3rd, Ragland JD, Silverstein SM, Luck SJ, Barch DM. Both unmedicated and medicated individuals with schizophrenia show impairments across a wide array of cognitive and reinforcement learning tasks. Psychol Med. 2022 Apr;52(6):1115-1125. doi: 10.1017/S003329172000286X. Epub 2020 Aug 17. PubMed 32799938 ↗
  • Pedersen ML, Frank MJ. Simultaneous Hierarchical Bayesian Parameter Estimation for Reinforcement Learning and Drift Diffusion Models: a Tutorial and Links to Neural Data. Comput Brain Behav. 2020 Dec;3(4):458-471. doi: 10.1007/s42113-020-00084-w. Epub 2020 May 26. PubMed 35128308 ↗
  • Ray KL, Ragland JD, MacDonald AW, Gold JM, Silverstein SM, Barch DM, Carter CS. Dynamic reorganization of the frontal parietal network during cognitive control and episodic memory. Cogn Affect Behav Neurosci. 2020 Feb;20(1):76-90. doi: 10.3758/s13415-019-00753-9. PubMed 31811557 ↗
  • Smucny J, Iosif AM, Eaton NR, Lesh TA, Ragland JD, Barch DM, Gold JM, Strauss ME, MacDonald AW, Silverstein SM, Carter CS. Latent Profiles of Cognitive Control, Episodic Memory, and Visual Perception Across Psychiatric Disorders Reveal a Dimensional Structure. Schizophr Bull. 2020 Jan 4;46(1):154-162. doi: 10.1093/schbul/sbz025. PubMed 30953588 ↗
  • Gold JM, Barch DM, Feuerstahler LM, Carter CS, MacDonald AW, Ragland JD, Silverstein SM, Strauss ME, Luck SJ. Working Memory Impairment Across Psychotic disorders. Schizophr Bull. 2019 Jun 18;45(4):804-812. doi: 10.1093/schbul/sby134. PubMed 30260448 ↗
  • Smucny J, Barch DM, Gold JM, Strauss ME, MacDonald AW 3rd, Boudewyn MA, Ragland JD, Silverstein SM, Carter CS. Cross-diagnostic analysis of cognitive control in mental illness: Insights from the CNTRACS consortium. Schizophr Res. 2019 Jun;208:377-383. doi: 10.1016/j.schres.2019.01.018. Epub 2019 Jan 28. PubMed 30704863 ↗
  • Ermel J, Carter CS, Gold JM, MacDonald AW 3rd, Daniel Ragland J, Silverstein SM, Strauss ME, Barch DM. Self versus informant reports on the specific levels of functioning scale: Relationships to depression and cognition in schizophrenia and schizoaffective disorder. Schizophr Res Cogn. 2017 May 9;9:1-7. doi: 10.1016/j.scog.2017.04.001. eCollection 2017 Sep. PubMed 28740827 ↗
  • Barch DM, Carter CS, Gold JM, Johnson SL, Kring AM, MacDonald AW, Pizzagalli DA, Ragland JD, Silverstein SM, Strauss ME. Explicit and implicit reinforcement learning across the psychosis spectrum. J Abnorm Psychol. 2017 Jul;126(5):694-711. doi: 10.1037/abn0000259. Epub 2017 Apr 13. PubMed 28406662 ↗
  • Lopez-Garcia P, Lesh TA, Salo T, Barch DM, MacDonald AW 3rd, Gold JM, Ragland JD, Strauss M, Silverstein SM, Carter CS. The neural circuitry supporting goal maintenance during cognitive control: a comparison of expectancy AX-CPT and dot probe expectancy paradigms. Cogn Affect Behav Neurosci. 2016 Feb;16(1):164-75. doi: 10.3758/s13415-015-0384-1. PubMed 26494483 ↗
  • Ragland JD, Ranganath C, Harms MP, Barch DM, Gold JM, Layher E, Lesh TA, MacDonald AW 3rd, Niendam TA, Phillips J, Silverstein SM, Yonelinas AP, Carter CS. Functional and Neuroanatomic Specificity of Episodic Memory Dysfunction in Schizophrenia: A Functional Magnetic Resonance Imaging Study of the Relational and Item-Specific Encoding Task. JAMA Psychiatry. 2015 Sep;72(9):909-16. doi: 10.1001/jamapsychiatry.2015.0276. PubMed 26200928 ↗
  • Silverstein SM, Harms MP, Carter CS, Gold JM, Keane BP, MacDonald A 3rd, Ragland JD, Barch DM. Cortical contributions to impaired contour integration in schizophrenia. Neuropsychologia. 2015 Aug;75:469-80. doi: 10.1016/j.neuropsychologia.2015.07.003. Epub 2015 Jul 6. PubMed 26160288 ↗
  • Sheffield JM, Repovs G, Harms MP, Carter CS, Gold JM, MacDonald AW 3rd, Daniel Ragland J, Silverstein SM, Godwin D, Barch DM. Fronto-parietal and cingulo-opercular network integrity and cognition in health and schizophrenia. Neuropsychologia. 2015 Jul;73:82-93. doi: 10.1016/j.neuropsychologia.2015.05.006. Epub 2015 May 13. PubMed 25979608 ↗
  • Barch DM, Sheffield JM. Cognitive impairments in psychotic disorders: common mechanisms and measurement. World Psychiatry. 2014 Oct;13(3):224-32. doi: 10.1002/wps.20145. PubMed 25273286 ↗
  • Sheffield JM, Gold JM, Strauss ME, Carter CS, MacDonald AW 3rd, Ragland JD, Silverstein SM, Barch DM. Common and specific cognitive deficits in schizophrenia: relationships to function. Cogn Affect Behav Neurosci. 2014 Mar;14(1):161-74. doi: 10.3758/s13415-013-0211-5. PubMed 24037621 ↗
  • Strauss ME, McLouth CJ, Barch DM, Carter CS, Gold JM, Luck SJ, MacDonald AW 3rd, Ragland JD, Ranganath C, Keane BP, Silverstein SM. Temporal stability and moderating effects of age and sex on CNTRaCS task performance. Schizophr Bull. 2014 Jul;40(4):835-44. doi: 10.1093/schbul/sbt089. Epub 2013 Jul 1. PubMed 23817024 ↗
  • Owoso A, Carter CS, Gold JM, MacDonald AW 3rd, Ragland JD, Silverstein SM, Strauss ME, Barch DM. Cognition in schizophrenia and schizo-affective disorder: impairments that are more similar than different. Psychol Med. 2013 Dec;43(12):2535-45. doi: 10.1017/S0033291713000536. Epub 2013 Mar 25. PubMed 23522057 ↗
  • Keane BP, Silverstein SM, Barch DM, Carter CS, Gold JM, Kovacs I, MacDonald AW 3rd, Ragland JD, Strauss ME. The spatial range of contour integration deficits in schizophrenia. Exp Brain Res. 2012 Aug;220(3-4):251-9. doi: 10.1007/s00221-012-3134-4. Epub 2012 Jun 19. PubMed 22710617 ↗
  • Barch DM, Mathalon DH. Using brain imaging measures in studies of procognitive pharmacologic agents in schizophrenia: psychometric and quality assurance considerations. Biol Psychiatry. 2011 Jul 1;70(1):13-8. doi: 10.1016/j.biopsych.2011.01.004. Epub 2011 Feb 21. PubMed 21334602 ↗

Study documents

  • Study protocol · Sep 23, 2026

Documents are hosted by the registry — open the source record to download them.

Individual participant data

Plan to share: Yes — Our plan is to share de-identified participant data through the National Data Archive (NDA) as required by the National Institute of Mental Health (NIMH)

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Updates

2 registry updates since Sep 25, 2026
Also revised
eligibility
Registered
First appeared on the registry
Oct 15, 2026
Show all 2 updates
  1. Oct 23, 2026
    Eligibility Criteria revised
  2. Oct 15, 2026
    First appeared on the registry

From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗

10

Registry details

Key details

Study ID
NCT07875790
Responsible party
Deanna Barch (Professor of Psychological & Brain Sciences Professor of Radiology , Gregory B. Couch Professor of Psychiatry, Washington University School of Medicine) — Principal investigator
First posted
Oct 15, 2026
Start date
Apr 2028 (estimated)
Primary completion
Jun 30, 2031 (estimated)
Completion
Jun 30, 2031 (estimated)
Last update
Oct 23, 2026

Study contacts

Deanna Barch, Ph.D.
Contact
dbarch@wustl.edu
314-935-8729
Lori Ingram
Contact
ingram@wustl.edu
314-747-2160
Deanna Barch, PhD
principal investigator · Washington University School of Medicine

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

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