The Development of Face-Processing Abilities in Infants: Structural and Functional Brain Changes During the First Year of Life

婴儿面部处理能力的发展：生命第一年的大脑结构和功能变化

• 批准号: 10400693
• 负责人: Stefania Conte
• 金额: $ 10.84万
• 依托单位: UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-05-01 至 2023-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10400693
• 关键词: Address; Adult; Age-Months; Anisotropy; Architecture; Area; Award; Axon; Brain; Brain region; Cerebrum; Characteristics; Computer software; Coupling; Custom; Data; Development; Diffuse; Diffusion Magnetic Resonance Imaging; Discrimination; Early Diagnosis; Early treatment; Electroencephalography; Ensure; Error Sources; Face; Face Processing; Fiber; Functional Magnetic Resonance Imaging; Goals; Head; Imaging Techniques; Individual; Infant; Investigation; Knowledge; Learning; Life; Light; Link; Longitudinal Studies; Measures; Mentors; Mentorship; Methods; Modeling; Pathway interactions; Pattern; Phase; Property; Protocols documentation; Radial; Research; Risk; Scalp structure; Scientist; Shapes; Signal Transduction; Source; Structure; Structure-Activity Relationship; System; Testing; Training; Variant; Visual; autism spectrum disorder; data acquisition; density; face perception; high risk; high risk infant; improved; infancy; innovation; insight; interest; multimodality; neural patterning; neuroimaging; programs; reconstruction; relating to nervous system; response; skills; source localization; tool; tractography; transmission process; white matter

Project Summary/Abstract This Pathway to Independence Award (K99/R00) will facilitate my transition to an independent scientist who conducts innovative research on the development of face processing abilities in infancy. The apparently effortless ability to recognize faces belies the complexity of this task. The activities described in this proposal are aimed at addressing the structure-function coupling underlying the distributed network of face-sensitive areas by characterizing the white matter (WM) fiber tracts connecting functionally activated regions during the processing of faces. Such an approach has been previously implemented with adults investigating the pattern of fMRI activation in response to faces. Source analysis of high‐density scalp electroencephalography (EEG) recordings is an optimal means to examine brain activity in infancy. Therefore, I propose to investigate the structure-function relationship between source cortical activity of the early low‐level stage of holistic face perception and structural encoding of faces in adults and 12-month-old infants. To better understand the WM connectivity profile within this network, I will define macro- and micro-structural properties (i.e., total volume of fiber bundles, fractional anisotropy – FA, axial and radial diffusivity, and fiber density) of the WM tracts using diffusion tensor imaging (DTI) tractography. Further, I will extend this investigation to younger infants to track the developmental changes in face-processing during the first year of life. As a secondary aim, I will explore structural-functional relations in infants at high familial risk for autism. I propose training and research during the mentored phase (K99) to extend my knowledge and skills in: (1) source localization of EEG activity using advanced source analysis methods and accurate head models; (2) DTI data acquisition and fiber tract reconstruction; and (3) learning tools for conducting research with high-risk infants. The knowledge and skills gained in the mentored phase, as well as the results of the mentored research, will be instrumental to achieving the aims of the independent phase (R00). These specific aims are: (1) track the development of structural brain changes and functional responses to faces in the first year of life to better understand typical and atypical trajectories of the face network; and (2) extend the investigation to other important aspects of face-processing, such as the discrimination of facial identities. I will track structural and functional changes in the processing of faces in infants at 6, 9, and 12 months. This approach will allow us to shed light on the sensitive periods in face perception occurring during the second half of the first year of life. Further, the multimodal approach to define structural-functional development will be implemented to investigate the dynamics of the adaptation effect to individual face perception in infants. My mentorship team is uniquely poised to assist and promote my training and research goals, and to ensure a successful transition to my independent research program.

项目总结/摘要 这个独立之路奖（K99/R 00）将有助于我过渡到一个独立的科学家， 对婴儿期面部处理能力的发展进行创新研究。显然 毫不费力地识别面孔的能力掩盖了这项任务的复杂性。本提案所述活动 旨在解决面部敏感分布式网络背后的结构与功能耦合问题 通过表征连接功能激活区域的白色纤维束， 脸的加工。这种方法以前曾在成年人中实施过， fMRI对面孔反应的激活模式。高密度头皮脑电图的源性分析 (EEG)录音是检查婴儿期大脑活动的最佳手段。因此，我提议调查 整体性面部低水平早期源皮质活动的结构-功能关系 成人和12个月大的婴儿对面孔的感知和结构编码。为了更好地理解WM 在这个网络中的连接配置文件，我将定义宏观和微观结构属性（即，总体积 纤维束，分数各向异性- FA，轴向和径向扩散率，和纤维密度）的WM束 使用弥散张量成像（DTI）纤维束成像。此外，我将把这项调查扩展到更小的婴儿， 来追踪婴儿出生后第一年面部处理的发展变化。作为次要目标，我将 探索自闭症高家族风险婴儿的结构-功能关系。我建议训练和研究 在指导阶段（K99），扩展我在以下方面的知识和技能：（1）EEG活动的源定位 采用先进的源分析方法和精确的头部模型;（2）DTI数据采集和纤维束 重建;和（3）学习工具进行研究与高风险的婴儿。的知识和技能 在指导阶段获得的知识以及指导研究的结果将有助于 实现独立阶段（R 00）的目标。这些具体目标是：（1）跟踪发展 在生命的第一年，大脑结构的变化和对面孔的功能反应，以更好地了解典型的 和非典型轨迹的人脸网络;和（2）扩大调查的其他重要方面， 面部处理，如面部识别。我会跟踪结构和功能变化 在6个月、9个月和12个月大的婴儿的面部处理中。这种方法将使我们能够阐明 面部感知的敏感期发生在生命的第一年的下半年。此夕h 多模态的方法来定义结构功能的发展将实施调查， 动态的适应效果，以个人的面孔知觉在婴儿。我的导师团队是独一无二的 准备协助和促进我的培训和研究目标，并确保成功过渡到我的 独立研究计划。