The National Neuropsychology Network (NNN) is a multicenter clinical research initiative funded by the National Institute of Mental Health (NIMH; R01 MH118514) to facilitate neuropsychology’s transition to contemporary psychometric assessment methods with resultant improvement in test validation and assessment efficiency.

The NNN includes four clinical research sites (Emory University; Medical College of Wisconsin; University of California, Los Angeles (UCLA); University of Florida) and Pearson Clinical Assessment. Pearson Q-interactive (Q-i) is used for data capture for Pearson published tests; web-based data capture tools programmed by UCLA, which serves as the Coordinating Center, are employed for remaining measures.

NNN is acquiring item-level data from 500–10,000 patients across 47 widely used Neuropsychology (NP) tests and sharing these data via the NIMH Data Archive. Modern psychometric methods (e.g., item response theory) will specify the constructs measured by different tests and determine their positive/negative predictive power regarding diagnostic outcomes and relationships to other clinical, historical, and demographic factors. The Structured History Protocol for NP (SHiP-NP) helps standardize acquisition of relevant history and self-report data.

NNN is a proof-of-principle collaboration: by addressing logistical challenges, NNN aims to engage other clinics to create a national and ultimately an international network. The mature NNN will provide mechanisms for data aggregation enabling shared analysis and collaborative research. NNN promises ultimately to enable robust diagnostic inferences about neuropsychological test patterns and to promote the validation of novel adaptive assessment strategies that will be more efficient, more precise, and more sensitive to clinical contexts and individual/cultural differences.

国家神经心理学网络 (NNN) 是一项由国家心理健康研究所 (NIMH; R01 MH118514) 资助的多中心临床研究计划，旨在促进神经心理学向当代心理测量评估方法的过渡，从而提高测试验证和评估效率。

NNN 包括四个临床研究中心（埃默里大学；威斯康星医学院；加州大学洛杉矶分校 (UCLA)；佛罗里达大学）和 Pearson 临床评估。Pearson Q-interactive (Qi) 用于为 Pearson 发布的测试捕获数据；由作为协调中心的 UCLA 编写的基于网络的数据采集工具用于其余措施。

NNN 正在从 47 项广泛使用的神经心理学 (NP) 测试中获取 500-10,000 名患者的项目级数据，并通过 NIMH 数据存档共享这些数据。现代心理测量方法（例如，项目反应理论）将指定由不同测试测量的结构，并确定它们对诊断结果和与其他临床、历史和人口因素的关系的阳性/阴性预测能力。NP 结构化历史协议 (SHiP-NP) 有助于标准化相关历史和自我报告数据的采集。

NNN 是一种原理验证的合作：通过解决后勤挑战，NNN 旨在与其他诊所合作，以创建一个国家网络，并最终建立一个国际网络。成熟的 NNN 将提供数据聚合机制，实现共享分析和协作研究。NNN 最终承诺能够对神经心理学测试模式进行稳健的诊断推断，并促进对新的适应性评估策略的验证，这些策略将更有效、更精确、对临床环境和个人/文化差异更敏感。