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.

项目摘要/摘要 发展语言障碍在普通人群中很常见，大约有10分之一 孩子们。尽管存在这种流行，但对在条件下观察到的语言困难的病因知之甚少 例如自闭症谱系障碍（ASD）。对语言障碍的早期治疗干预措施 始终与更好的语言和社会成果相关联，使得发展更好 了解在生命的第一年中支持成功语言获取的神经设备。 该项目将通过纵向研究中立如何通过纵向研究来提高我们对语言发展的理解 在婴儿的第一个生日与后来的轨迹之前，语言处理和语言网络连接 接受和表现力的语言技能。 该提案将利用两项正在进行的NIH资助的纵向研究的数据来检查神经 处理本地语言与非本地语言（AIM 1），语言网络中的功能连接性（AIM 2）， 以及支持语言中心之间串扰的白质结构（AIM 3）。语言延迟 通常与异常与语言相关的神经活动和网络连接相关联 和非典型人口。尽管新生儿已经可以将其母语与 其他语言，没有研究纵向检查了早期母语学习的神经签名 婴儿期。重要的是，婴儿成像研究很少雇用足够的样本量并重复 严格评估神经发育变化所需的观察结果 语言网络。在这里，用刺激诱发的语言范式收集的fMRI数据作为UCLA的一部分 ACE（NICHD P50 HD055784）将用于绘制与母语学习相关的神经反应 在ASD的高风险和低风险的婴儿的第一年中。纵向休息状态fMRI和扩散 Baby Connectome项目（1U01MH110274）的张量成像（DTI）数据将用于彻底 分别表征跨大脑区域的功能和结构连通性的早期发展 在语言处理中实施。最后，在所有目标中，大脑活动和连通性的差异 婴儿期将与后来的语言轨迹有关，以识别非典型语言发展的早期预测指标。 候选人劳伦·瓦格纳（Lauren Wagner）将在UCLA的神经科学研究生下进行这些研究 博士的指导。 Mirella Dapretto和Lucina Uddin，他们在神经发育方面拥有庞大的专业知识， 小儿成像，语言发展，高级神经影像学方法和ASD。加州大学洛杉矶分校的基础设施， 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 实现这些目标。该F31 NRSA奖学金将为申请人提供全面的培训 在MRI中，统计建模，教学和传播结果将奠定基础 成功的学术研究职业专注于影响语言获取的神经发育障碍。