National Neuropsychological Network (NNN)

项目摘要 这项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， 位于加州、佛罗里达、格鲁吉亚和威斯康星州的站点。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）工具的项目级数据， 存款这些数据在NIMH数据档案（NDA; https：//data-archive.nimh.nih.gov/），更具体地说，在 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，利用领先的测试供应商开发的现有技术（Q- 互动，从皮尔逊），并开发额外的软件，以收集具体的额外措施， 广泛用于临床神经心理学实验室和诊所，但在其他地方无法获得。结盟运动新闻网 将在4年内收集超过10，000例病例的数据，代表了广泛的神经精神疾病 疾病，反映全国范围内看到的人群，然后将所有数据存款在RDoCdb中。数据分析将 指定每个测试的潜在结构，由较大的电池表示的因素，并创建 新的个人测试和电池的建议。新的测试（简短的形式和适应性测试）将被建议 基于每个测试的项目反应理论建模，具有所需的测量精度以作为证据- 基于临床决策。新颖的电池提案将通过审查积极和消极的 每个测试的预测能力，以促进NP评估中出现的关键鉴别诊断问题。 电池和个人测试提案都将侧重于效率，预计产量至少翻一番 效率。NNN旨在作为其他网络节点的核心和模板， generation提供了一个全国性的平台，用于共同规范新的测试，扩展到其他语言，并最终 设计新的程序，这些程序在大脑功能和真实的世界适应性方面都得到了验证， 能力。

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.