Cognitive Neurocomputational Task Reliability and Clinical Applications Consortium: Study 2
CNTRACS 2
2 other identifiers
interventional
325
1 country
5
Brief 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Apr 2028
Longer than P75 for not_applicable
5 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
October 8, 2026
CompletedFirst Posted
Study publicly available on registry
October 15, 2026
CompletedStudy Start
First participant enrolled
April 1, 2028
ExpectedPrimary Completion
Last participant's last visit for primary outcome
June 30, 2031
Study Completion
Last participant's last visit for all outcomes
June 30, 2031
October 15, 2026
October 1, 2026
3.2 years
October 8, 2026
October 8, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (7)
Motion Perception Task Performance
With 15 degrees of initial or changed direction vs. the probability of failing to update
1 hour
Sine Wave Speech Task Performance
Percentage of trials coded as speech or not vs Dprime
1 hour
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
1 hour
Choice Probabilistic Reversal Performance Task
Win-switch rate (higher in patients, particularly paranoid patients) vs. (prior on volatility belief updating in response to volatility
1 hour
Kamin Blocking Task Performance
Number of times participant predict allergy following blocked cue vs. prediction errors and learning rates
1 hour
Minnesota Trust Game Performance
Percent of trusting choices depending on decision-agent and temptation vs. spite-guilt beliefs estimate
1 hour
Dynamic Trust Game Performance
Trust indexed by mean investment versus learning rates
1 hour
Interventions
Assesses updating of beliefs from new sensory inputs with prior knowledge via perceiving direction changes in random dot motion stimuli
Measures the degree to which overweighting of prior beliefs impacts processing of sensory inputs (detection of speech).
Measures the updating of priors about the location of a bag drop from a helicopter when the location changes (prediction errors).
Assesses prior belief updating when feedback about obtaining positive outcomes changes (prediction errors).
Examines the role of mismatches between learned priors and new information (prediction errors) in belief formation about event causes.
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.
Assesses degree to which people learn and update priors about trusting partners from dynamic social feedback (prediction error) in a social exchange game.
Eligibility Criteria
You may qualify if:
- Group Specific Criteria: Schizophrenia/SchizoaffectiveDisorder (SZ/SZA):
- \) 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 hospital if unmedicated Healthy Controls (HC): 1)no Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-5) Psychosis or BipolarDisorder; 2) no family history of psychosis or bipolar
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Washington University School of Medicinelead
- National Institute of Mental Health (NIMH)collaborator
- University of Minnesotacollaborator
- University of Chicagocollaborator
- University of California, Irvinecollaborator
- University of Maryland, Baltimore Countycollaborator
Study Sites (5)
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
Related Publications (30)
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.
PMID: 37314113BACKGROUNDLi 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.
PMID: 42184934RESULTBoudewyn 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.
PMID: 38616053RESULTMacDonald 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.
PMID: 40063391RESULTErickson 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.
PMID: 39117276RESULTBarch 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.
PMID: 36173600RESULTRac-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.
PMID: 36931706RESULTKwashie 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.
PMID: 36418846RESULTLiu 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.
PMID: 36711165RESULTPratt 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.
PMID: 33914891RESULTGeana 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.
PMID: 33878489RESULTHamid 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.
PMID: 33861952RESULTMoran 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.
PMID: 32799938RESULTPedersen 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.
PMID: 35128308RESULTRay 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.
PMID: 31811557RESULTSmucny 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.
PMID: 30953588RESULTGold 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.
PMID: 30260448RESULTSmucny 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.
PMID: 30704863RESULTErmel 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.
PMID: 28740827RESULTBarch 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.
PMID: 28406662RESULTLopez-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.
PMID: 26494483RESULTRagland 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.
PMID: 26200928RESULTSilverstein 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.
PMID: 26160288RESULTSheffield 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.
PMID: 25979608RESULTBarch 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.
PMID: 25273286RESULTSheffield 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.
PMID: 24037621RESULTStrauss 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.
PMID: 23817024RESULTOwoso 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.
PMID: 23522057RESULTKeane 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.
PMID: 22710617RESULTBarch 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.
PMID: 21334602RESULT
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Deanna Barch, PhD
Washington University School of Medicine
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- BASIC SCIENCE
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor of Psychological & Brain Sciences Professor of Radiology , Gregory B. Couch Professor of Psychiatry
Study Record Dates
First Submitted
October 8, 2026
First Posted
October 15, 2026
Study Start (Estimated)
April 1, 2028
Primary Completion (Estimated)
June 30, 2031
Study Completion (Estimated)
June 30, 2031
Last Updated
October 15, 2026
Record last verified: 2026-10
Data Sharing
- IPD Sharing
- Will share
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)