Caregiver Speech and Brain-Behavior Development in Infants At-Risk for ASD

有 ASD 风险的婴儿的护理人员言语和大脑行为发育

• 批准号: 10624951
• 负责人: Meghan Rae Swanson
• 金额: $ 73.5万
• 依托单位: UNIVERSITY OF TEXAS DALLAS
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-05-20 至 2023-12-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10624951
• 关键词: Address; Adult; Age; Age Months; Area; Autism Diagnosis; Axon; Biological Markers; Brain; Brain region; Caregivers; Child; Classification; Collaborations; Communication; Companions; Crying; Data; Detection; Development; Diagnosis; Diagnostic; Diffusion; Diffusion Magnetic Resonance Imaging; Disease; Distress; Early Intervention; Exposure to; Funding; Future; Goals; Growth; Hearing; Home; Human; Image; Infant; Infant Development; Intervention; Intervention Studies; Knowledge; Language; Laughter; Length; Life; Linguistics; Longitudinal Studies; Magnetic Resonance Imaging; Measures; Mediating; Monitor; National Institute on Deafness and Other Communication Disorders; Neuronal Plasticity; Outcome; Parents; Play; Predisposition; Prevention; Probability; Research; Research Personnel; Risk; Risk Marker; Sampling; Siblings; Specific qualifier value; Speech; Strategic Planning; Structure; Symptoms; Temporal Lobe; Time; Treatment Efficacy; United States National Institutes of Health; Validation; Voice; Work; autism spectrum disorder; autistic children; brain based; brain behavior; care costs; clinical practice; economic cost; evidence base; forging; high risk; high risk infant; improved; improved outcome; individuals with autism spectrum disorder; infancy; intervention effect; lexical; meetings; neurodevelopment; peer; prefrontal lobe; protective effect; public health relevance; skills; social communication; vocalization; white matter

PROJECT SUMMARY Caregiver Speech and Brain-Behavior Development in Infants At-Risk for Autism Spectrum Disorder The defining symptoms of autism spectrum disorder emerge only after an initial presymptomatic period during the first year of life. The first year of life is also a time of tremendous growth and neuroplasticity for the infant brain. The overall goal of the proposed longitudinal study is to enable and inform presymptomatic infant interventions for autism by examining the relationships between infant vocalizations, caregiver speech, and brain-behavior development in infants at high familial risk for autism. Conceptually, the project focuses on the potential protective effects of caregiver speech on infant development. The proposed study is a companion to and collaboration with the IBIS Network-Early Prediction Study, an NIH-sponsored study of 250 infants at high familial risk for autism. All infants in the study have an older sibling with autism. These high-risk infants have a 20% probability of developing autism themselves. Ecologically valid day-long home language recordings will be collected when infants are 6 and 12 months of age. A state-of-the-art automated processing pipeline will used to estimate daily counts of infant and caregiver speech quality and quantity. Micro-level targeted annotation will be applied to semi-structured, parent-infant play sessions collected in the lab. Automated processing pipelines and micro-level targeted annotation will be used to generate multivariate infant vocalizations and caregiver speech data. Infant vocalizations will be classified as speech-like or non-speech-like (delight or distress). Caregiver speech variables include lexical diversity, mean length utterance, and temporal contingency. The study will determine if infant vocalizations predict subsequent autism diagnosis and later language and social communication scores, and specify the relationship between caregiver speech and infant communication skills. Diffusion MRI will be collected when infants are 6, 12, and 24 months of age by the Early Prediction Study. The proposed study will determine if multivariate caregiver speech is related to targeted prefrontal and temporal brain regions. By determining if caregiver speech can have a protective effect on brain development, we forge a new scientific approach to studying communication development in infants at high-risk for autism. As first-year autism detection and presymptomatic intervention become increasingly feasible, an evidence base is needed to inform interventions. The proposed study will identify infant-based language and communication risk markers, caregiver-based intervention targets, and brain-based monitoring biomarkers to guide presymptomatic intervention for autism that is parent-mediated and delivered in the natural setting.

项目概要 有自闭症谱系障碍风险的婴儿的看护者言语和大脑行为发育 自闭症谱系障碍的定义症状仅在最初的症状前期之后出现 生命的第一年。生命的第一年也是婴儿巨大成长和神经可塑性的时期 脑。拟议纵向研究的总体目标是使出现症状的婴儿能够获得信息并为其提供信息 通过检查婴儿发声、看护者言语和语言之间的关系来对自闭症进行干预 自闭症家族高风险婴儿的大脑行为发育。从概念上讲，该项目的重点是 照顾者言语对婴儿发育的潜在保护作用。拟议的研究是一个同伴 以及与 IBIS 网络早期预测研究的合作，该研究是 NIH 资助的一项针对 250 名高龄婴儿的研究 自闭症的家族风险。研究中的所有婴儿都有一个患有自闭症的哥哥姐姐。这些高危婴儿有 自己患上自闭症的可能性为 20%。 当婴儿 6 个月和 12 个月大时，将收集生态上有效的全天家庭语言录音。 最先进的自动化处理管道将用于估计婴儿和护理人员每日讲话的次数 质量和数量。微观定向标注将应用于半结构化亲子游戏 在实验室收集的会话。将使用自动化处理管道和微观级目标注释 生成多元婴儿发声和护理人员语音数据。婴儿发声将被分类为 类似言语或非言语（高兴或痛苦）。护理人员言语变量包括词汇多样性、平均值 话语的长度和时间的偶然性。 该研究将确定婴儿发声是否可以预测随后的自闭症诊断以及后来的语言和能力。 社交沟通得分，并指定护理人员言语与婴儿沟通之间的关系 技能。早期预测研究将在婴儿 6、12 和 24 个月大时收集弥散 MRI。 拟议的研究将确定多元看护者言语是否与目标前额叶和颞叶相关 大脑区域。通过确定看护者的言语是否可以对大脑发育产生保护作用，我们建立了一个 研究自闭症高危婴儿沟通发展的新科学方法。 随着第一年自闭症检测和症状前干预变得越来越可行，证据基础 需要为干预措施提供信息。拟议的研究将确定基于婴儿的语言和交流 风险标记、基于护理人员的干预目标和基于大脑的监测生物标记来指导 由父母介导并在自然环境中进行的自闭症症状前干预。