Early Neurodevelopmental Trajectories of Typical and Atypical Language Acquisition

典型和非典型语言习得的早期神经发育轨迹

• 批准号: 10607353
• 负责人: Lauren E Wagner
• 金额: $ 3.97万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-01-19 至 2026-01-18
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10607353
• 关键词: Affect; Age Months; Anisotropy; Area; Behavioral; Birth; Brain; Brain region; Cerebellum; Cerebrum; Child; Childhood; Communication; Contralateral; Corpus Callosum; Coupling; Data; Development; Diffusion Magnetic Resonance Imaging; Disease; Early Diagnosis; Early Intervention; Early identification; Educational process of instructing; Emotional; Employment; Environment; Etiology; Exhibits; Fellowship; Foundations; Functional Magnetic Resonance Imaging; Funding; Future; General Population; High Prevalence; Image; Individual Differences; Infant; Information Dissemination; Infrastructure; Japanese; Language; Language Delays; Language Development; Language Development Disorders; Left; Life; Literature; Longitudinal Studies; Magnetic Resonance Imaging; Measures; Methods; National Institute of Child Health and Human Development; National Research Service Awards; Neurodevelopmental Disorder; Neurosciences; Newborn Infant; Outcome; Pattern; Population; Prevalence; Public Health; Research; Research Training; Resources; Rest; Risk; Role; Sample Size; Sign Language; Sleep; Social outcome; Speech; Statistical Models; Stimulus; Stream; Structure; Therapeutic Intervention; Time; Toddler; Training; United States National Institutes of Health; adult with autism spectrum disorder; adverse outcome; autism spectrum disorder; career; collaborative environment; connectome; early detection biomarkers; effective intervention; experience; graduate student; high risk; imaging study; improved; indexing; infancy; language impairment; language outcome; language processing; longitudinal design; neural; neural network; neurodevelopment; neuroimaging; non-Native; postnatal; response; skills; speech processing; support network; symptomatology; tractography; white matter

Project Summary/Abstract Developmental language impairments are common in the general population, affecting approximately 1 in 10 children. Despite this prevalence, little is known about the etiology of language difficulties observed in conditions such as Autism Spectrum Disorder (ASD). Earlier therapeutic interventions for language impairments have consistently been associated with better language and social outcomes, making it important to develop a better understanding of the neural apparatus supporting successful language acquisition during the first year of life. This project will improve our understanding of language development by longitudinally examining how neural language processing and language network connectivity before an infant’s first birthday relate to later trajectories of receptive and expressive language skills. This proposal will leverage data from two ongoing NIH-funded longitudinal studies to examine the neural processing of native vs. non-native language (Aim 1), functional connectivity within language networks (Aim 2), and the structure of white matter tracts supporting cross-talk between language hubs (Aim 3). Language delays have been associated with aberrant language-related neural activity and network connectivity in both typically and atypically developing populations. Yet although newborns can already distinguish their native language from other languages, no study has longitudinally examined the neural signatures of native language learning in early infancy. Importantly, infant imaging studies have seldom employed adequate sample sizes and repeated observations necessary for rigorous assessment of neurodevelopmental changes in brain connectivity within language networks. Here, fMRI data collected with a stimulus-evoked language paradigm as part of the UCLA ACE (NICHD P50 HD055784) will be used to chart neural responses associated with native language learning during the first year of life in infants at high and low risk for ASD. Longitudinal resting-state fMRI and Diffusion Tensor Imaging (DTI) data from the Baby Connectome Project (1U01MH110274) will be used to thoroughly characterize the early development of functional and structural connectivity, respectively, across brain regions implicated in language processing. Finally, across all aims, differences in brain activity and connectivity during infancy will be related to later language trajectories to identify early predictors of atypical language development. The candidate, Lauren Wagner, will carry out these studies as a Neuroscience graduate student at UCLA under the tutelage of Drs. Mirella Dapretto and Lucina Uddin who, together, have vast expertise in neurodevelopment, pediatric imaging, language development, advanced neuroimaging methods, and ASD. UCLA’s infrastructure, collaborative environment, and research training resources offer the candidate an ideal training environment in which to carry out these aims. This F31 NRSA Fellowship will provide the applicant with comprehensive training in MRI, statistical modeling, teaching, and dissemination of results that, altogether, will lay the foundation for a successful academic research career focusing on neurodevelopmental disorders affecting language acquisition.

项目总结/摘要 发育性语言障碍在普通人群中很常见，约占十分之一 孩子尽管这种流行，很少有人知道的病因语言困难观察条件 自闭症谱系障碍（ASD）。语言障碍的早期治疗干预 一直与更好的语言和社会成果相关联，这使得发展更好的语言和社会成果变得重要。 理解支持生命第一年成功语言习得的神经装置。 这个项目将通过纵向研究神经系统如何影响语言发展来提高我们对语言发展的理解。 婴儿一岁之前的语言处理和语言网络连接与以后的轨迹有关 接受性和表达性的语言技能。 这项提案将利用两项正在进行的NIH资助的纵向研究的数据， 母语与非母语的处理（目标1），语言网络内的功能连接（目标2）， 以及支持语言中枢之间的串扰的白色物质束的结构（目标3）。语言延迟现象 与异常的语言相关的神经活动和网络连接有关， 和发展中国家的人口。然而，尽管新生儿已经可以区分他们的母语， 其他语言，没有研究纵向研究母语学习的神经特征， 婴儿期。重要的是，婴儿成像研究很少采用足够的样本量和重复 观察必要的严格评估大脑连接的神经发育变化， 语言网络。在这里，功能磁共振成像数据收集与刺激诱发的语言范式的一部分，加州大学洛杉矶分校 ACE（NICHD P50 HD 055784）将用于绘制与母语学习相关的神经反应 在ASD高风险和低风险婴儿的第一年。纵向静息态fMRI和弥散 将使用Baby Connectome项目（1U 01 MH 110274）的张量成像（DTI）数据， 分别描述大脑各区域功能和结构连接的早期发展 与语言处理有关。最后，在所有目标中，大脑活动和连接的差异， 婴儿期将与后来的语言轨迹相关，以确定非典型语言发展的早期预测因素。 候选人，劳伦瓦格纳，将进行这些研究作为一个神经科学研究生在加州大学洛杉矶分校， 在Mirella Dapretto和Lucina Uddin博士的指导下，他们在神经发育方面拥有丰富的专业知识， 儿科影像学、语言发育、高级神经影像学方法和ASD。UCLA的基础设施， 协作环境和研究培训资源为候选人提供了理想的培训环境， 来实现这些目标。这个F31 NRSA奖学金将为申请人提供全面的培训 在MRI中，统计建模，教学和结果的传播，总之，将为 成功的学术研究生涯，专注于影响语言习得的神经发育障碍。