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Cognitive Neurocomputational Task Reliability and Clinical Applications Consortium: Study 3 (CNTRACS)

2026年11月5日 更新者:Deanna Barch、Washington University School of Medicine

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.

研究概览

详细说明

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.

研究类型

介入性

注册 (估计的)

10000

阶段

  • 不适用

联系人和位置

本节提供了进行研究的人员的详细联系信息,以及有关进行该研究的地点的信息。

学习联系方式

  • 姓名:Deanna Barch, PhD
  • 电话号码:314-935-8729
  • 邮箱:dbarch@wustl.edu

学习地点

    • Minnesota
      • Minneapolis、Minnesota、美国、55455
        • 招聘中
        • University of Minnesota
        • 接触:
          • Angus MacDonald III, PhD
          • 电话号码:612-624-3813
          • 邮箱:angus@umn.edu
        • 接触:
    • Missouri
      • St Louis、Missouri、美国、63130
        • 招聘中
        • Washington University
        • 接触:

参与标准

研究人员寻找符合特定描述的人,称为资格标准。这些标准的一些例子是一个人的一般健康状况或先前的治疗。

资格标准

适合学习的年龄

18年 至 59年 (成人)

接受健康志愿者

是的

有资格学习的性别

全部

描述

Inclusion Criteria:

  • Residents of the U.S.
  • between 18-59 years of age

Exclusion Criteria:

  • Resides outside of U.S.
  • under 18 or over 59 years of age

学习计划

本节提供研究计划的详细信息,包括研究的设计方式和研究的衡量标准。

研究是如何设计的?

设计细节

  • 主要用途:基础科学
  • 分配:不适用
  • 介入模型:单组作业
  • 屏蔽:无(打开标签)

研究衡量的是什么?

主要结果指标

结果测量
措施说明
大体时间
Sine Wave Speech Task Performance
大体时间:1 hour

Percentage of trials coded as speech or not vs Dprime

1 hour
Minnesota Trust Game Performance
大体时间:1 hour

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

1 hour
Dynamic Trust Game Performance
大体时间:1 hour

Trust indexed by mean investment versus learning rates

1 hour
Motion Perception Task Performance
大体时间:1 hour

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

1 hour
Volatility Task Performance
大体时间: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

1 hour
Choice Probabilistic Reversal Performance Task
大体时间:1 hour

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

1 hour
Kamin Blocking Task Performance
大体时间:1 hour

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

1 hour

合作者和调查者

在这里您可以找到参与这项研究的人员和组织。

出版物和有用的链接

负责输入研究信息的人员自愿提供这些出版物。这些可能与研究有关。

一般刊物

研究记录日期

这些日期跟踪向 ClinicalTrials.gov 提交研究记录和摘要结果的进度。研究记录和报告的结果由国家医学图书馆 (NLM) 审查,以确保它们在发布到公共网站之前符合特定的质量控制标准。

研究主要日期

学习开始 (估计的)

2026年12月1日

初级完成 (估计的)

2031年6月30日

研究完成 (估计的)

2031年6月30日

研究注册日期

首次提交

2026年10月21日

首先提交符合 QC 标准的

2026年10月21日

首次发布 (实际的)

2026年10月28日

研究记录更新

最后更新发布 (实际的)

2026年11月9日

上次提交的符合 QC 标准的更新

2026年11月5日

最后验证

2026年10月1日

更多信息

与本研究相关的术语

其他研究编号

  • 201904012: Study 3
  • 2R01MH084840 (美国 NIH 拨款/合同)

计划个人参与者数据 (IPD)

计划共享个人参与者数据 (IPD)?

是的

IPD 计划说明

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

药物和器械信息、研究文件

研究美国 FDA 监管的药品

不

研究美国 FDA 监管的设备产品

不

此信息直接从 clinicaltrials.gov 网站检索,没有任何更改。如果您有任何更改、删除或更新研究详细信息的请求,请联系 register@clinicaltrials.gov. clinicaltrials.gov 上实施更改,我们的网站上也会自动更新.

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