National Neuropsychological Network (NNN)

国家神经心理学网络 (NNN)

• 批准号: 9884820
• 负责人: RUSSELL M BAUER
• 金额: $ 88.17万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-03-04 至 2024-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9884820
• 关键词: Anxiety Disorders; Brain; California; Cell Nucleus; Clinic; Clinical; Clinical Protocols; Clinical Research; Common Data Element; Communities; Complex; Computer software; Data; Data Analyses; Data Collection; Databases; Degenerative Disorder; Dementia; Deposition; Development; Diagnostic; Differential Diagnosis; Dimensions; Educational process of instructing; Enrollment; Epilepsy; Florida; Functional disorder; Future; Goals; Health Services Accessibility; Impaired cognition; Individual; Infrastructure; Knowledge; Laboratories; Language; Linguistics; Measurement; Measures; Mental Depression; Mental disorders; Methods; Modeling; Mood Disorders; Movement Disorders; National Institute of Mental Health; Network Infrastructure; Neurocognitive; Neuropsychological Tests; Neuropsychology; Neurosciences Research; Outcome; Outpatients; Partial Epilepsies; Participant; Population; Precision Medicine Initiative; Procedures; Protocols documentation; Psychiatric Diagnosis; Psychotic Disorders; Recording of previous events; Records; Research; Sampling; Science; Seizures; Services; Ships; Site; Source; Specific qualifier value; Standardization; Structure; Symptoms; Syndrome; Technology; Testing; Time; Translating; United States; United States National Institutes of Health; Universities; Vendor; Wisconsin; anxiety symptoms; base; brain behavior; clinical decision-making; clinical diagnostics; clinical practice; clinical research site; cognitive disability; community clinic; comorbidity; data acquisition; data archive; demographics; depressive symptoms; design; digital; disability; evidence base; improved; instrument; medical schools; medical specialties; mood symptom; neurocognitive disorder; neuropsychiatric disorder; neuropsychiatry; next generation; novel; psychiatric symptom; psychotic symptoms; response; theories

Project Summary This proposal aims to develop a National Neuropsychology Network (NNN), starting with four clinical research sites in California, Florida, Georgia, and Wisconsin. The NNN aims to gather clinical diagnostic information following a shared protocol, collect item-level data on representative neuropsychological (NP) instruments, and deposit these data in the NIMH Data Archive (NDA; https://data-archive.nimh.nih.gov/), more specifically in the Research Domains Criteria database (RDoCdb). The infrastructure established in the network focuses on point- of-testing data acquisition, using iPads, leveraging existing technology developed by a leading test vendor (Q- interactive, from Pearson), and developing additional software to collect specific additional measures that are widely used in clinical neuropsychology laboratories and clinics but which are not available elsewhere. The NNN will collect data on more than 10,000 cases over 4 years, representing a broad range of neuropsychiatric disorders, reflecting populations seen nationwide, and then deposit all data in RDoCdb. Data analyses will specify the latent constructs underlying each test, the factors represented by larger batteries, and create proposals for new individual tests and batteries. Novel tests (short forms and adaptive tests) will be suggested based on item-response theory modeling of each test, with desired precision of measurement for evidence- based clinical decision-making. Novel battery proposals will be informed by examining the positive and negative predictive power of each test to contribute to key differential diagnostic questions that arise in NP assessment. Both battery and individual test proposals will focus on efficiency, and are expected to yield at least a doubling of efficiency. The NNN aims to serve as a nucleus and template for additional network nodes, that will in its next generation offer a national platform for co-norming novel tests, expanding to other languages, and ultimately designing new procedures that are validated with respect to both brain function and real world adaptive capacities.

项目摘要 该建议旨在开发国家神经心理学网络（NNN），从四项临床研究开始 加利福尼亚，佛罗里达州，佐治亚州和威斯康星州的地点。 NNN旨在收集临床诊断信息 按照共享协议，收集有关代表性神经心理学（NP）仪器的项目级数据，并收集 将这些数据存入NIMH数据存档（NDA; https://data-archive.nimh.nih.gov/），更具体地在 研究领域标准数据库（RDOCDB）。网络中建立的基础架构的重点是点 - 使用iPad进行了测试数据获取，利用领先的测试供应商开发的现有技术（q- 互动，来自皮尔逊），并开发其他软件来收集特定的其他措施 广泛用于临床神经心理学实验室和诊所，但在其他地方无法使用。 NNN 将在4年内收集10,000多个病例的数据，代表广泛的神经精神病学 疾病，反映在全国范围内看到的人群，然后将所有数据存入RDOCDB。数据分析将 指定每个测试的潜在构造，以较大的电池代表的因素，并创建 提出新的单独测试和电池的建议。将建议新的测试（简短形式和自适应测试） 基于每个测试的项目 - 响应理论建模，并具有所需的测量精度以证明证据 - 基于临床决策。新颖的电池建议将通过检查正面和负面来告知 每个测试的预测能力有助于NP评估中出现的关键差异诊断问题。 电池和个人测试建议都将集中在效率上，并有望至少产生一倍 效率。 NNN的目的是作为其他网络节点的核和模板，这将在其下一个中 Generation提供了一个国家平台，用于共同纳入小说测试，扩展到其他语言，并最终 设计有关大脑功能和现实世界自适应的新程序 能力。