Temporal dyadic processes in autism risk and treatment

自闭症风险和治疗的时间二元过程

基本信息

批准号：
10227945
负责人：
Ashleigh Kellerman
金额：
$ 4.6万
依托单位：
PURDUE UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-09-01 至 2022-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10227945
关键词：
2 year old 4 year old 5 year old Address Advocate Age Behavior Behavioral Child Childhood Classification Code Cognition Competence Dancing Data Data Set Development Diagnosis Distress Early Intervention Elements Evidence based intervention Eye Family Family history of Frequencies Goals Growth Health Services Accessibility Heritability Heterogeneity Home visitation Indiana Infant Intervention Language Life Measurement Mediating Methodology Methods Modeling Monitor Mother-Child Relations Mothers Outcome Parent-Child Relations Parents Pattern Play Process Psychopathology Recommendation Research Research Personnel Risk Sampling Services Social Behavior Social Change Social Development Social Interaction Social Processes Specificity Symptoms Techniques Testing Time Training United States autism spectrum disorder base clinically relevant disorder risk dyadic interaction early childhood experience flexibility high risk high risk infant improved indexing innovation joint attention post intervention prospective rate of change repetitive behavior service intervention social social communication social deficits social skills statistics therapy design time use

项目摘要

PROJECT SUMMARY/ABSTRACT Autism spectrum disorder (ASD) is currently one of the most heritable, heterogeneous, and prevalent childhood psychopathologies and is characterized by social communicative difficulties, as well as restricted, repetitive behaviors. However, many of these communicative and behavioral difficulties may not fully manifest until later in development. My long-term goal is to improve children’s developmental trajectories by identifying early social difficulties within the first two years to better inform behavioral targets within ongoing intervention efforts (e.g., responsiveness; joint attention). Copious research highlights that difficulties in early social exchanges inform later developmental difficulties in language, cognition, and more advanced social communication exchanges. However, the behavioral methods we currently use to assess mean-level social difficulties (e.g., average vocal exchanges) in young children are often limited by inconsistent findings, sample constraints, and large heterogeneity across children/families. This measurement limitation inevitably complicates our interpretations of which social behaviors are (1) indicative of later ASD diagnosis, and (2) which behaviors should be the focus of intervention efforts. Until recently, available methods to accurately and precisely describe dyadic interactions have been limited- and it is widely recognized that dyadic interactions are not fully captured by mean-level statistics (e.g., total frequency of eye contact). Thus, the overall objective of the proposed study is to apply two distinct temporal-based dyadic methodologies (i.e., state space grids; time varying effect modeling) to existing dyadic data in order to sequentially capture the unfolding temporal pattern present within parent-child interactions in elevated-risk samples. The central goal of this study is to improve current measurement recommendations by providing sequential-based representations of early social exchanges during play, in both developmental monitoring (Aim 1) and parent-mediated intervention (Aim 2) contexts. The proposed study is innovative in its application of two temporal-based dyadic methodologies that have never been applied in elevated-risk samples. At its core, ASD is a social disorder and improving our understanding of how these social difficulties unfold over the first two years of life has the potential to significantly impact our current field recommendations for optimizing children’s social development within ongoing identification and intervention contexts.

项目概要/摘要自闭症谱系障碍 (ASD) 是目前最具遗传性、异质性和普遍性的疾病之一儿童心理病理学，其特点是社交沟通困难以及受限，然而，许多这些沟通和行为困难可能并未完全显现出来。直到发展后期，我的长期目标是通过识别来改善儿童的发展轨迹。头两年内出现早期社会困难，以便在持续干预中更好地告知行为目标（例如，反应努力；共同关注）。交流预示着后来在语言、认知和更高级的社交方面的发展困难然而，我们目前用来评估平均水平社交的行为方法。幼儿的困难（例如平均声音交流）通常受到不一致的发现、样本的限制这种测量不可避免地存在局限性和儿童/家庭之间的巨大异质性。使我们对哪些社会行为（1）表明后来的自闭症谱系障碍诊断（2）的解释变得复杂哪些行为应该成为干预工作的重点，直到最近，还没有可用的方法来准确而有效地干预。精确描述二元相互作用是有限的——人们普遍认为二元相互作用平均水平统计数据未完全捕获（例如，眼神接触的总频率）。因此，总体目标。拟议研究的目的是应用两种不同的基于时间的二元方法（即状态空间网格；时变效应建模）到现有的二元数据，以便顺序捕获展开的时间高风险样本中亲子互动中存在的模式本研究的中心目标是通过提供早期社会的基于顺序的表示来改进当前的测量建议游戏期间的交流，包括发育监测（目标 1）和家长介导的干预（目标 2）拟议的研究在应用两种基于时间的二元方法方面具有创新性。从未应用于高风险样本，自闭症谱系障碍的核心是一种社会障碍，并改善了我们的健康状况。了解这些社会困难在生命的头两年是如何展开的，有可能极大地影响了我们当前关于优化儿童社交发展的现场建议持续的识别和干预环境。