Identification of RDoC Social Communication Sub-Constructs Using Existing Datasets

使用现有数据集识别 RDoC 社交沟通子结构

• 批准号: 9224382
• 负责人: ANTONIO HARDAN
• 金额: $ 7.85万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-07-01 至 2019-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9224382
• 关键词: Address; Age; Anxiety Disorders; Attention; Behavior; Behavioral; Biological; Blinded; Child; Clinical; DSM-V; Data; Data Set; Data Sources; Development; Dimensions; Disease; Emotional; Etiology; Exhibits; Face; Future; Genes; Genetic; Goals; Interview; Judgment; Left; Link; Literature; Maps; Measures; Mental disorders; Modeling; Mood Disorders; Motivation; National Institute of Mental Health; Neurodevelopmental Disorder; Parents; Patient Care; Phase; Physiology; Play; Process; Psychopathology; Readability; Reading; Reporting; Research; Research Domain Criteria; Research Personnel; Role; Sampling; Site; Social Behavior; Source; Statistical Data Interpretation; Statistical Methods; Structure; Symptoms; System; Testing; Translating; Writing; analytical method; autism spectrum disorder; clinical practice; communication behavior; developmental disease; dissemination research; eighth grade; exhaustion; improved; instrument; programs; relating to nervous system; social; social communication; tool

Abstract NIMH Research domain criteria (RDoC) are a guiding framework for etiologic research in psychopathology. The RDoC Social Communication (SC) construct represents an important component of several forms of developmental psychopathology, including autism spectrum disorder (ASD). A key next step in the application of RDoC SC criteria toward understanding developmental psychopathology will be to identify, differentiate, and measure SC sub-constructs. The over-arching long-term goal of this application is to develop brief, quantitative, subjective parent report and clinician observation measures of RDoC SC sub- constructs relevant to developmental psychopathology. To achieve this goal, we will first empirically identify and differentiate broad and specific RDoC-relevant SC sub-constructs using de-identified clinical and behavioral data from samples an order of magnitude larger than all previous studies (Aim 1). This approach will identify a generalizable structure of SC behavior by combining data across datasets and applying advanced statistical methods that simultaneously extract SC dimensions from multiple measures and information sources (parent report, parent interview, and clinician observation). Next, using the results of aim 1 and an exhaustive review of the social communication literature, we will fill in the SC map by conducting additional quantitative and qualitative analyses focused on identifying SC facets that were not adequately represented by existing item sets (Aim 2). Finally, using the results of Aims 1 and 2, we will develop and pilot test parent report and clinician observation measures of RDoC-relevant SC sub- constructs. To accomplish these aims, the proposed project will analyze data from eight large-sample sources that include measures of social behavior on more than 30,000 children (ages 2-18) with a range of social communication abilities - from severe ASD to other psychiatric disorders to healthy controls. After SC sub-structure is identified, we will write parent-report and clinician observation measures and pilot test these measures for content validity, readability, and parent acceptability. If the above aims are achieved, the proposed project will represent a critical first step toward the development and dissemination of RDoC- relevant SC measures that can linked to other RDoC levels of analysis (genetic, cellular, neural systems, etc.), applied in future research to improve our understanding of developmental psychopathology, and implemented in clinical practice to enhance patient care.

摘要 NIMH研究领域标准（RDoC）是精神病理学病因学研究的指导框架。 RDoC社会沟通（SC）结构代表了几种形式的重要组成部分， 发展性精神病理学，包括自闭症谱系障碍（ASD）。下一步的关键是， 应用RDoC SC标准来理解发展性精神病理学将是识别， 区分和测量SC子结构。这个应用程序的长期目标是 制定简要、定量、主观的父母报告和RDoC SC子的临床观察指标 与发展性精神病理学相关的结构为了实现这一目标，我们将首先根据经验确定 并使用去识别的临床和免疫组织化学方法区分广泛和特异性RDoC相关SC子结构， 行为数据从样本的数量级大于所有以前的研究（目标1）。这种方法 将通过组合数据集之间的数据并应用 先进的统计方法，同时从多个测量中提取SC维度， 信息来源（家长报告、家长访谈和临床观察）。接下来，使用 目标1和社会传播文献的详尽回顾，我们将通过以下方式填写SC地图： 进行更多的定量和定性分析，重点是确定 由现有项目集充分代表（目标2）。最后，利用目标1和2的结果，我们将 制定并试点测试RDoC相关SC子项的父报告和临床医生观察指标， 结构。为了实现这些目标，拟议的项目将分析来自八个大样本的数据， 来源，包括对30，000多名儿童（2-18岁）的社会行为的测量， 社会沟通能力-从严重ASD到其他精神疾病到健康对照。皮下给药后 子结构确定后，我们将编写家长报告和临床观察措施，并对这些措施进行初步测试 内容有效性、可读性和家长接受度的衡量标准。如果上述目标得以实现， 拟议的项目将是发展和传播RDoC的关键的第一步， 相关的SC测量可以与其他RDoC分析水平（遗传，细胞，神经系统， 等等），应用于未来的研究，以提高我们对发展性精神病理学的理解， 在临床实践中实施，以加强患者护理。