National Neuropsychological Network (NNN)

国家神经心理学网络 (NNN)

• 批准号: 10335125
• 负责人: ROBERT M BILDER
• 金额: $ 83.38万
• 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/10335125
• 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.

项目概要 该提案旨在建立一个国家神经心理学网络（NNN），从四项临床研究开始 地点位于加利福尼亚州、佛罗里达州、佐治亚州和威斯康星州。 NNN 旨在收集临床诊断信息 遵循共享协议，收集代表性神经心理学 (NP) 仪器的项目级数据，以及 将这些数据存入 NIMH 数据档案库（NDA；https://data-archive.nimh.nih.gov/），更具体地说，存入 研究领域标准数据库 (RDoCdb)。网络中建立的基础设施侧重于点- 测试数据采集，使用 iPad，利用领先测试供应商 (Q- 交互式，来自 Pearson），并开发额外的软件来收集具体的额外措施 广泛应用于临床神经心理学实验室和诊所，但其他地方没有。神经网络 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学 疾病，反映全国范围内的人口，然后将所有数据存储在 RDoCdb 中。数据分析将 指定每个测试背后的潜在结构、较大电池代表的因素，并创建 新的单独测试和电池的建议。将建议新颖的测试（简短形式和适应性测试） 基于每个测试的项目反应理论模型，具有所需的证据测量精度 基于临床决策。新型电池提案将通过检查正极和负极来了解 每个测试的预测能力有助于解决 NP 评估中出现的关键鉴别诊断问题。 电池和单独的测试建议都将重点关注效率，预计产量至少提高一倍 的效率。 NNN 旨在充当其他网络节点的核心和模板，这将在其下一个 Generation 提供了一个国家平台，用于共同规范新颖的测试，扩展到其他语言，并最终 设计在大脑功能和现实世界适应性方面均经过验证的新程序 能力。