Schizophrenia / Schizoaffective DisorderCNTRACSNCT07900893
Cognitive Neurocomputational Task Reliability and Clinical Applications Consortium: Study 3
A study testing Motion Perception Task, Sine Wave Speech Task and Volatility Task in people with Schizophrenia / Schizoaffective Disorder and SCHIZOPHRENIA 1 (Disorder), run by Washington University School of Medicine at 2 sites in United States.
Trial summary
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… Read more about this study
- Who is it for?
- Ages 18 to 59 yearsHealthy volunteers can take part
- Conditions the study is for
- Schizophrenia / Schizoaffective Disorder, SCHIZOPHRENIA 1 (Disorder), Healthy Adult
- What is being tested?
- Motion Perception Task, Sine Wave Speech Task and Volatility Task
- Type of treatment
- Lifestyle or therapy programme
- How many people
- 10,000 participants
- Where
- 2 sitesUnited States
- Study dates
- 1 Dec 2026to 30 Jun 2031
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 59 years
- All sexes
- Healthy volunteers accepted
- Adult
Who may be able to join
- Residents of the U.S.
- between 18-59 years of age
Who cannot join
- Resides outside of U.S.
- under 18 or over 59 years of age
Trial locations and contacts
2 sites in 1 country. Contact the study team or a site near you to ask about taking part.
United States2 sites, 2 recruiting
- Recruiting
University of Minnesota
Minneapolis, Minnesota, 55455
Angus MacDonald III, PhD, 612-624-3813, angus@umn.edu
Alyssa Zimmerman, 651-558-1275, zimme857@umn.edu
- Recruiting
Washington University
St Louis, Missouri, 63130
Deanna Barch, PhD, 314-935-8729, dbarch@wustl.edu
About this study
Official title: 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.
Read more
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.
Read the detailed description
Researchers will recruit two samples of 2,000 to preregister hypotheses and then 3,000 to independently confirm those hypotheses.
Multiple methods will affirm the highest quality human self-report and behavioral data for online samples. First, researchers will 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. Participants will complete 3 sessions, each limited to ~60 min to avoid burnout. Researchers anticipate complete data from 74% of participants, based on data completion rates in the previous online study.
General Cognitive Ability. Researchers will include standard general cognitive measures to assess the specificity of effects beyond general cognitive impairment. Specifically, researchers 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.
Self-Report Questionnaires: Researchers 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. Researchers will also use the Peters Delusion Inventory to assess the extent of delusional thinking, supplemented by the Green Paranoia Scale, which provides additional coverage of persecutory beliefs. To assess specificity, researchers will use the Patient Health Questionnaire (PHQ-9) to assess depression, the Generalized Anxiety Disorder Scale (GAD-7)78 to assess anxiety, and the Motivation and Pleasure Scale-Self-Report (MAP-SR) to assess anhedonia and motivation with the addition of additional measures of psychosis (Aberrant Salience Inventory, Schizotypal Personality Questionnaire - Brief), alcohol use (AUDIT), cannabis use (Daily Sessions, Frequency, Age of Onset, and Quantity of Cannabis Use Inventory), and tobacco and other substance use (World Health Organization (WHO) Alcohol, Smoking and Substance Involvement Screening Test), as researchers will not have a Stuctured Clinical Interview (SCID) for on-line participants.
Researchers will also measure daily functioning using the World Health Organization Disability Assessment Schedule (WHODAS) 2.0. Validity questions and procedures will be included. These measures will take 30 mins to complete, as researchers found in prior studies. Researchers 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.
- Being tested
- Motion Perception Task, Sine Wave Speech Task, Volatility Task, Choice Probabilistic Reversal Task, Kamin Blocking Task
- Keywords
- schizophrenia, schizo-affective, healthy controls
- Medical subject headings
- Schizophrenia, Psychotic Disorders
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Motion Perception TaskBehavioural
Assesses updating of beliefs from new sensory inputs with prior knowledge via perceiving direction changes in random dot motion stimuli
Sine Wave Speech TaskBehavioural
Measures the degree to which overweighting of prior beliefs impacts processing of sensory inputs (detection of speech).
Volatility TaskBehavioural
Measures the updating of priors about the location of a bag drop from a helicopter when the location changes (prediction errors).
Choice Probabilistic Reversal TaskBehavioural
Assesses prior belief updating when feedback about obtaining positive outcomes changes (prediction errors).
Kamin Blocking TaskBehavioural
Examines the role of mismatches between learned priors and new information (prediction errors) in belief formation about event causes.
Minnesota Trust GameBehavioural
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.
Dynamic Trust GameBehavioural
Assesses degree to which people learn and update priors about trusting partners from dynamic social feedback (prediction error) in a social exchange game.
What is being measured
The primary outcome is the main question the study is designed to answer.
Motion Perception Task Performance
With 15 degrees of initial or changed direction vs. the probability of failing to update
Measured: 1 hour
Sine Wave Speech Task Performance
Percentage of trials coded as speech or not vs Dprime
Measured: 1 hour
Volatility Task Performance
Percent correct bag captures during periods of stability vs. instability - patients worse in both, but particularly impaired ininstability vs. Environmental volatility belief parameter
Measured: 1 hour
Choice Probabilistic Reversal Performance Task
Win-switch rate (higher in patients, particularly paranoid patients) vs. (prior on volatility belief updating in response tovolatility
Measured: 1 hour
Kamin Blocking Task Performance
Number of times participant predict allergy following blocked cue vs. prediction errors and learning rates
Measured: 1 hour
Minnesota Trust Game Performance
Percent of trusting choices depending on decision-agent and temptation vs. spite-guilt beliefs estimate
Measured: 1 hour
Dynamic Trust Game Performance
Trust indexed by mean investment versus learning rates
Measured: 1 hour
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted28 Oct 2026
- Study start1 Dec 2026 (estimated)
- Primary completion30 Jun 2031 (estimated)
- Study completion30 Jun 2031 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (8)Papers the sponsor has linked to this study.
- Other trials for Schizophrenia / Schizoaffective DisorderStudies of the same condition, open and under way.
- More trials run by Washington University School of MedicineThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Basic science
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Enrolment
- 10,000 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Washington University School of Medicine
- Sponsor type
- University, hospital or other
- Collaborators
- National Institute of Mental Health (NIMH), University of Minnesota, University of Chicago, University of California, Irvine, University of Maryland, Baltimore County
- Responsible party
- Principal investigator, Deanna Barch, Washington University School of Medicine
- Investigators
- Deanna Barch, PhD, Principal investigator, Washington University School of Medicine
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07900893
- Sponsor's protocol ID
- 201904012: Study 3
- Other IDs
- 2R01MH084840
- Acronym
- CNTRACS
- Status last verified
- Oct 2026
- First submitted
- 21 Oct 2026
- Last updated
- 28 Oct 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Yes: Our plan is to share de-identified participant data through the National Data Archive (NDA) as required bythe National Institute of Mental Health (NIMH)
Publications
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 33861952Pratt 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 33914891Liu 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 36711165Kwashie 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 36418846Boudewyn 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 37314113Erickson 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 39117276MacDonald 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 40063391Li 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
Study at a glance
From the registry record, last updated by the sponsor on 28 Oct 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Cognitive Neurocomputational Task Reliability and Clinical Applications Consortium
- ClinicalTrials.gov ID
- NCT07900893
- Acronym / sponsor ID
- CNTRACS / 201904012: Study 3
- Keywords
- schizophrenia, schizo-affective, healthy controls
- Study type
- Interventional
- Recruitment status
- Recruiting
- Enrolment
- 10,000 participants (estimated)
- Lead sponsor
- Washington University School of MedicineUniversity, hospital or other
- Collaborators
- National Institute of Mental Health (NIMH), University of Minnesota, University of Chicago, University of California, Irvine, University of Maryland, Baltimore County
- Study start
- 1 Dec 2026 (estimated)
- Primary completion
- 30 Jun 2031 (estimated)
- Study completion
- 30 Jun 2031 (estimated)
- First posted
- 28 Oct 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Detailed description
Researchers will recruit two samples of 2,000 to preregister hypotheses and then 3,000 to independently confirm those hypotheses.
Multiple methods will affirm the highest quality human self-report and behavioral data for online samples. First, researchers will 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. Participants will complete 3 sessions, each limited to ~60 min to avoid burnout. Researchers anticipate complete data from 74% of participants, based on data completion rates in the previous online study.
General Cognitive Ability. Researchers will include standard general cognitive measures to assess the specificity of effects beyond general cognitive impairment. Specifically, researchers 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.
Self-Report Questionnaires: Researchers 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. Researchers will also use the Peters Delusion Inventory to assess the extent of delusional thinking, supplemented by the Green Paranoia Scale, which provides additional coverage of persecutory beliefs. To assess specificity, researchers will use the Patient Health Questionnaire (PHQ-9) to assess depression, the Generalized Anxiety Disorder Scale (GAD-7)78 to assess anxiety, and the Motivation and Pleasure Scale-Self-Report (MAP-SR) to assess anhedonia and motivation with the addition of additional measures of psychosis (Aberrant Salience Inventory, Schizotypal Personality Questionnaire - Brief), alcohol use (AUDIT), cannabis use (Daily Sessions, Frequency, Age of Onset, and Quantity of Cannabis Use Inventory), and tobacco and other substance use (World Health Organization (WHO) Alcohol, Smoking and Substance Involvement Screening Test), as researchers will not have a Stuctured Clinical Interview (SCID) for on-line participants.
Researchers will also measure daily functioning using the World Health Organization Disability Assessment Schedule (WHODAS) 2.0. Validity questions and procedures will be included. These measures will take 30 mins to complete, as researchers found in prior studies. Researchers 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.
Study design
- Primary purpose
- Basic science
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
Who may qualify
- Ages
- 18 to 59 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult
Key inclusion criteria (2 listed)
- Residents of the U.S.
- between 18-59 years of age
Key exclusion criteria (2 listed)
- Resides outside of U.S.
- under 18 or over 59 years of age
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Motion Perception TaskAssesses updating of beliefs from new sensory inputs with prior knowledge via perceiving direction changes in random dot motion stimuli | Behavioural | – |
| Sine Wave Speech TaskMeasures the degree to which overweighting of prior beliefs impacts processing of sensory inputs (detection of speech). | Behavioural | – |
| Volatility TaskMeasures the updating of priors about the location of a bag drop from a helicopter when the location changes (prediction errors). | Behavioural | – |
| Choice Probabilistic Reversal TaskAssesses prior belief updating when feedback about obtaining positive outcomes changes (prediction errors). | Behavioural | – |
| Kamin Blocking TaskExamines the role of mismatches between learned priors and new information (prediction errors) in belief formation about event causes. | Behavioural | – |
| Minnesota Trust GameAssesses 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. | Behavioural | – |
| Dynamic Trust GameAssesses degree to which people learn and update priors about trusting partners from dynamic social feedback (prediction error) in a social exchange game. | Behavioural | – |
Primary outcome
Motion Perception Task Performance
Time frame: 1 hour
With 15 degrees of initial or changed direction vs. the probability of failing to update
Sine Wave Speech Task Performance
Time frame: 1 hour
Percentage of trials coded as speech or not vs Dprime
Volatility Task Performance
Time frame: 1 hour
Percent correct bag captures during periods of stability vs. instability - patients worse in both, but particularly impaired ininstability vs. Environmental volatility belief parameter
Choice Probabilistic Reversal Performance Task
Time frame: 1 hour
Win-switch rate (higher in patients, particularly paranoid patients) vs. (prior on volatility belief updating in response tovolatility
Kamin Blocking Task Performance
Time frame: 1 hour
Number of times participant predict allergy following blocked cue vs. prediction errors and learning rates
Minnesota Trust Game Performance
Time frame: 1 hour
Percent of trusting choices depending on decision-agent and temptation vs. spite-guilt beliefs estimate
Dynamic Trust Game Performance
Time frame: 1 hour
Trust indexed by mean investment versus learning rates
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 28 Oct 2026.
- Results publication: PubMed 33861952Hamid 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.
- Results publication: PubMed 33914891Pratt 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.
- Results publication: PubMed 36711165Liu 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.
- Results publication: PubMed 36418846Kwashie 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.
- Results publication: PubMed 37314113Boudewyn 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.
- Results publication: PubMed 39117276Erickson 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.
- Results publication: PubMed 40063391MacDonald 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.
- Results publication: PubMed 42184934Li 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.
- Individual participant dataSharing planned: Yes. Our plan is to share de-identified participant data through the National Data Archive (NDA) as required bythe National Institute of Mental Health (NIMH)
Related trials for Schizophrenia / Schizoaffective Disorder
Not yet recruiting
Integrated Psychoeducation Program for Internalized Stigma in Schizophrenia
Schizophrenia, Schizoaffective Disorder
Not yet recruiting
Cognitive Neurocomputational Task Reliability and Clinical Applications Consortium: Study 2
SCHIZOPHRENIA 1 (Disorder), Schizo Affective Disorder
Enrolling by invitation
Incentives and Long-Acting Injectable Adherence After Involuntary Hospitalization
Schizophrenia Disorder, Schizoaffective Disorder
Recruiting
French Minds Cohort: a French Longitudinal and Multimodal Cohort of Patients With Major Mood Disorders, Psychotic Disorders, Autism Spectrum Disorders, and Healthy Controls
Schizophrenia / Schizoaffective Disorder, First Episode Psychosis (FEP)
Not yet recruiting
Effect of Occupational Therapy on Psychosocial Parameters and Functioning in Individuals With Severe Mental Illness
Schizophenia Disorder, Severe Mental Illness
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Deanna Barch, PhD principal investigator
Washington University School of Medicine
2 sites in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Motion Perception Task, Sine Wave Speech Task and Volatility Task in people with Schizophrenia / Schizoaffective Disorder and SCHIZOPHRENIA 1 (Disorder), run by Washington University School of Medicine at 2 sites in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 2 inclusion and 2 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: looking for participants now, as of the sponsor's last update on 28 Oct 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 2 sites in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Deanna Barch, PhD (314-935-8729, dbarch@wustl.edu), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Motion Perception Task Performance (time frame: 1 hour). The study lists 7 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT07900893, which also lists 8 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 28 Oct 2026.