Community-viable screening for ASD in 9-month-old infants using quantitative eye-tracking assays of social visual engagement

使用社交视觉参与的定量眼动追踪分析对 9 个月大的婴儿进行社区可行的 ASD 筛查

基本信息

批准号：
10254287
负责人：
Warren Jones
金额：
$ 75.98万
依托单位：
EMORY UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-09-16 至 2025-08-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10254287
关键词：
Affect Age Age-Months Agreement Biological Assay Blinded Child Childhood Clinical Communities Data Data Analytics Data Collection Development Developmental Delay Disorders Developmental Diagnostic Devices Diagnosis Diagnostic Diagnostic Sensitivity Dimensions Double-Blind Method Early Intervention Effectiveness Enrollment Evaluation General Population Goals Gold Improve Access Individual Infant Investigation Language Learning Measurement Measures Methodology Methods Modeling National Institute of Mental Health Neuronal Plasticity Outcome Performance Physicians Population Predictive Value Primary Health Care Procedures Reference Standards Research Design Risk Risk Assessment Sampling Screening procedure Sensitivity and Specificity Series Severities Specific qualifier value Specificity Standardization Symptoms Technology Testing Time Translations Validation Visual Well Child Visits autism spectrum disorder autistic base cognitive ability cognitive skill cohort cost effective design diagnosis standard disability efficacy testing experience indexing infancy instrument population based recruit response screening secondary analysis service intervention social tool visual tracking

项目摘要

PROJECT SUMMARY This project is in response to NIMH RFA-MH-19-120 calling for the development and validation of new screening methods for autism spectrum disorder (ASD) that can be used in infancy (0-12 months of age). We will deploy a cost-effective, high-throughput methodology utilizing performance-based, objective, and highly quantitative eye- tracking assays of social visual engagement—the way in which infants visually explore, engage, and ultimately learn from and adapt to their surrounding world—collected on a standalone, mobile eye-tracking data collection device, created in our lab (the Marcus Autism Center Investigational Device, MAC-ID). We will collect eye- tracking data from a population-based sample of N=2,000 9-month-old infants recruited consecutively in primary care practices at the time of their 9-month well-child visits. These infants will be followed longitudinally from 9 until 26 months for completion of a series of sequential screening and clinical ascertainment procedures designed to maximize sensitivity and achieve clinician-best-estimate diagnostic assignments of ASD vs. non- ASD and Affected [including ASD and non-ASD developmental delays] vs. Unaffected. We will measure the accuracy of eye-tracking-based screening at the age of 9 months relative to clinician best estimate diagnosis at 24 months (primary analysis), and we will measure dimensional agreement between eye-tracking assays at 9 months relative to outcome levels of social disability, verbal ability, and nonverbal cognitive ability (secondary analyses). Our overarching goal is to develop high-quality, objective, performance-based tools that can function as an effective and community-viable means of screening for ASD and other actionable developmental delays in infancy, to ultimately facilitate improved access to and benefit from early intervention.

项目概要该项目是为了响应 NIMH RFA-MH-19-120 号召开发和验证新筛查方法我们将部署可用于婴儿期（0-12 个月）的自闭症谱系障碍 (ASD) 治疗方法。具有成本效益的高通量方法，利用基于性能的、客观的、高度定量的眼睛社会视觉参与的跟踪分析——婴儿视觉探索、参与并最终的方式学习并适应周围的世界——通过独立的移动眼动追踪数据收集收集我们将收集我们实验室创建的设备（马库斯自闭症中心研究设备，MAC-ID）。追踪小学连续招募的 N=2,000 名 9 个月大婴儿的人口样本数据将从 9 个月起对这些婴儿进行纵向随访。直到 26 个月完成一系列连续筛查和临床确定程序旨在最大限度地提高灵敏度并实现临床医生对 ASD 与非 ASD 的最佳估计诊断分配自闭症谱系障碍和受影响的[包括自闭症谱系障碍和非自闭症谱系障碍的发育迟缓]与未受影响的相比我们将测量 9 个月时基于眼动追踪的筛查相对于临床医生最佳估计诊断的准确性 24 个月（初步分析），我们将在 9 个月时测量眼动追踪分析之间的尺寸一致性与社交障碍、语言能力和非语言认知能力（中学）结果水平相关的几个月我们的总体目标是开发高质量、客观、基于性能的实用工具。作为筛查 ASD 和其他可采取行动的发育迟缓的有效且社区可行的方法在婴儿期，最终促进获得早期干预并从中受益。