Predicting ASD and Other Developmental Outcomes in the First Year of Life Using EEG in a Diverse Community-based Sample (Administrative Supplement)

在基于不同社区的样本中使用脑电图预测生命第一年的自闭症谱系障碍和其他发育结果（行政补充）

• 批准号: 10840167
• 负责人: CHARLES Alexander NELSON
• 金额: $ 41.35万
• 依托单位: BOSTON CHILDREN'S HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-12-15 至 2026-11-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10840167
• 关键词: Address; Administrative Supplement; Age; Age Months; Behavioral; Boston; Brain; Child; Child Development; Childhood; Clinical; Communication; Communities; Complex; Data; Demographic Factors; Development; Developmental Delay Disorders; Diagnosis; Educational Status; Electroencephalography; Enrollment; Environmental Risk Factor; Ethnic Origin; Event; Family; Future; Goals; Health; Health care facility; Improve Access; Infant; Intervention; Knowledge; Language; Language Delays; Language Development; Language Development Disorders; Life; Longitudinal Studies; Measures; Medical History; Minority; Modeling; Mothers; Neurobiology; Neurocognitive; Outcome; Parent-Child Relations; Parents; Pathway interactions; Pediatric Hospitals; Perinatal; Play; Population; Predictive Factor; Primary Care; Prospective Studies; Race; Reading; Recording of previous events; Research; Research Design; Resources; Risk; Role; Sampling; Socioeconomic Factors; Specificity; Speech Development; Time; Underrepresented Populations; Visit; Vocation; Work; cohort; data-driven model; disparity reduction; ethnic diversity; improved; language outcome; maternal depression; maternal stress; parent grant; parent project; peer; predictive modeling; preemptive intervention; prenatal; primary care clinic; primary care setting; racial diversity; recruit; sex; signal processing; socioeconomics; tool

ABSTRACT Although most infants acquire language with seemingly little effort, a subset, referred to as late talkers (LT), show early delays in language milestones in the second or third year of life, and are at risk for a later diagnosis of developmental language disorder. To date, research on LT has identified several potential factors that are associated with poorer language at this age including demographic, family history and child neurocognitive variables but there is little research focusing on predictors of LT in the first year of life, before the onset of major language milestones. Studying early predictors is critical for identifying those infants who are in greatest need for pre-emptive interventions that focus on promoting speech and language development. We propose to address this issue in the infants enrolled in our ongoing RO1 NS12908 project, which is a longitudinal study of a large cohort of socioeconomic, racially and ethnically diverse infants recruited from a large urban pediatric primary care facility at Boston Children's Hospital. This parent project provides a unique opportunity to investigate a rich set of predictors of LT collected in the first year of life. In order to address our goals, we plan to identify LT (defined as below the 20th percentile) from the CSBS administered at 12 months, or using the MCDI at 18 or 24 months.. We will add an 18 month visit to administer the MCDI and collect a parent-child play-based interaction. We also plan to expand the language measures collected at 24 months to include the MCDI and parent-child interaction, and add a 30- month outcome visit, at which the same set of enriched language measures will be collected. These additional time points will allow us to investigate development change in language in infants identified as LT into the third year of life. The supplement will address the following specific aims. Aim 1: Using a prospective study design in a racially, ethnically and socioeconomically diverse primary care population, we will identify the EEG features measured during the first year of life at 4, 9 and 12 months that are associated with late talkers (LT) identified at 12, 18 or 24 months; Aim 2: In this same sample of infants, we will identify demographic and environmental factors that are associated with late talkers (LT) identified at 12, 18 or 24 months And Aim 3: We will develop exploratory predictive models of LT, both transient LT (resolved by 30 months) and persistent LT (remaining at lowest 20% at 30 months), using both EEG and behavioral/demographic/ environmental factors collected in the first year of life. In parallel with the parent grant, our goal is to create scalable, practical neurobiologically-based tools combined with demographic, family and health history information that will advance our ability to identify LT in the first year of life across resources settings, reduce disparities in identification, and thereby greatly improve access to early language and communication interventions.

抽象的 尽管大多数婴儿看似不费什么力气就能习得语言，但有一个子集被称为“说话晚者”(LT)， 在生命的第二年或第三年表现出语言里程碑的早期延迟，并且有后期诊断的风险 发育性语言障碍。迄今为止，LT 研究已经确定了几个潜在因素： 与这个年龄段的语言能力较差有关，包括人口统计学、家族史和儿童神经认知能力 但很少有研究关注生命第一年（即生命开始前）LT 的预测因素。 主要语言里程碑。研究早期预测因子对于识别那些处于最佳状态的婴儿至关重要 需要先发制人的干预措施，重点关注促进言语和语言的发展。我们建议 在参与我们正在进行的 RO1 NS12908 项目的婴儿中解决这个问题，该项目是一项纵向研究 从大型城市儿科中心招募的一大批社会经济、种族和民族多样化的婴儿 波士顿儿童医院的初级保健机构。这个父项目提供了一个独特的机会 研究在生命第一年收集的一组丰富的 LT 预测因子。为了实现我们的目标，我们计划 从 12 个月时施用的 CSBS 中识别 LT（定义为低于第 20 个百分位数），或使用 18 或 24 个月时进行 MCDI。我们将增加 18 个月的访问以管理 MCDI 并收集亲子 基于游戏的互动。我们还计划扩大 24 个月收集的语言测量范围，以包括 MCDI和亲子互动，并增加30个月的结果访视，其中同一套丰富的 将收集语言措施。这些额外的时间点将使我们能够调查开发情况 婴儿到第三年的语言变化被确定为 LT。该补充文件将解决 遵循特定目标。目标 1：在种族、族裔和种族方面采用前瞻性研究设计 社会经济多样化的初级保健人群，我们将确定期间测量的脑电图特征 出生后第一年的 4、9 和 12 个月，与 12、18 或 12 岁时说话晚者 (LT) 相关 24个月；目标 2：在同一婴儿样本中，我们将确定人口统计和环境因素 与在 12、18 或 24 个月时识别的晚说话者 (LT) 相关的因素 目标 3：我们将 开发 LT 的探索性预测模型，包括暂时性 LT（30 个月内解决）和持续性 LT LT（30 个月时保持最低 20%），使用 EEG 和行为/人口统计/ 在生命第一年收集的环境因素。在提供家长资助的同时，我们的目标是 结合人口统计、家庭和健康史，创建可扩展、实用的基于神经生物学的工具 这些信息将提高我们在不同资源环境中识别生命第一年 LT 的能力，减少 识别上的差异，从而大大改善早期语言和交流的机会 干预措施。