A Big Data Approach Toward the Development of a New Quantitative Measure of Restricted and Repetitive Behaviors

项目摘要 限制和重复行为(RRB)是自闭症谱系障碍(ASD)的核心特征，也是 在一系列其他神经发育障碍中。RRB是学习和学习的主要障碍 适应，干扰家庭功能，给父母带来相当大的压力。尽管 他们的临床意义，在这个复杂的行为领域背后的潜在机制很差 目前缺乏了解和有效的、有针对性的、个性化的治疗方案。其中一个 推动RRB研究议程向前发展的主要障碍是结构缺乏清晰度 和RRB的概念化以及现有措施的局限性，特别是在以下方面 他们(I)无法全面捕捉RRB的全部范围，以及(Ii)对治疗相关的敏感性不足 变化。因此，该项目的总体目标是为 全面和定量的RRB评估适用于临床人群和整个生命周期- 在病因学和治疗相关的研究中都是有用的。为了实现这一目标，我们将首先 对包含一系列当前数据的多个大型高质量数据集进行高级统计分析 在不同的RRB结构域之间实现细粒度区分的可用措施(具体目标 1)并确定当前措施没有充分涵盖的领域(具体目标2)。这个 这一项目初始阶段的实施将确保该因素的稳健性和普适性 每个个体测量的年龄、发育水平、性别和诊断状态的结构是 已建立，目前现有RRB工具可概括的核心RRB结构是 已确认身份。这两个不同的方面以前都没有得到全面的解决。健壮 衍生的RRB因子结构，以及潜在的RRB结构域的鉴定- 目前的文书所代表的和没有充分描述的，以及对 文献将为新规模的项目的开发提供信息，以捕捉RRB的全部范围。飞行员 新版本的量表将在网上对大样本的儿童和 青少年自闭症(具体目标3)。该项目将为今后的调查奠定基础 进一步完善新开发的基于信息者的量表和开展临床医生访谈 和客观工具，以及它们在自闭症和神经发育障碍中的验证，以及 测试它们作为临床结果衡量标准的有效性。

Project Summary Restricted and repetitive behaviors (RRB) are a core feature of autism spectrum disorder (ASD) and also occur across a range of other neurodevelopmental disorders. RRB present a major barrier to learning and adaptation, interfere with family functioning and present a source of considerable stress for parents. Despite their clinical significance, underlying mechanisms behind this complex behavioral domain are poorly understood and effective, targeted, individually tailored treatment options are currently lacking. One of the major barriers to moving the RRB research agenda forward has been the lack of clarity around the structure and conceptualization of RRB and the limitations of the currently available measures, particularly in terms of their (i) inability to comprehensively capture the full range of RRB and (ii) lack of sensitivity to treatment-related change. Therefore, the overarching aim of this project is to develop a parent report measure for comprehensive and quantitative RRB assessment applicable across clinical populations and across the life- span and useful in both etiological- and treatment-related research. In order to achieve this goal, we will first conduct advanced statistical analyses of multiple, large, high-quality datasets containing a range of currently available measures in order to achieve fine-grained differentiation between distinct RRB domains (Specific Aim 1) and to identify domains not adequately captured by the current measures (Specific Aim 2). The implementation of this initial phase of the project will ensure that robustness and generalizability of the factor structures for each individual measure across age, developmental level, gender, and diagnostic status, is established and that generalizable core RRB structure across the currently available RRB instruments is identified. Neither of these two different aspects have been comprehensively addressed before. Robust derived RRB factor structure, together with the identification of potential RRB domains that might be under- represented and not adequately depicted by the current instruments, together with the systematic review of the literature will inform the development of items of the new scale to capture the full range of RRB. The pilot version of the new scale will be psychometrically evaluated online within a large sample of children and adolescents with ASD (Specific Aim 3). This project will lay the foundation for future investigations aimed at further refinement of the newly developed informant-based scale and the development of a clinician interview and objective instrument, as well as their validation across ASD ansd neurodevelopmental disorders, and the testing of their utility as a clinical outcome measure.