Neural Correlates of Biological Motion Perception in Children with ASD

自闭症儿童生物运动知觉的神经相关性

• 批准号: 8891837
• 负责人: FREDERICK SHIC
• 金额: $ 17.7万
• 依托单位: YALE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-04-17 至 2019-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8891837
• 关键词: 3 year old; Adult; Affect; Age-Months; Amygdaloid structure; Arousal; Attention; Autistic Disorder; Behavior; Behavioral; Biological; Brain; Brain region; Child; Clinical; Complex; Computer software; Data; Development; Developmental Process; Disease; Doctor of Philosophy; Education; Emotional; Emotions; Engineering; Environment; Eye; Face; Fractals; Functional Magnetic Resonance Imaging; Fusiform gyrus; Goals; Growth; Heterogeneity; Individual; Infant; Instruction; K-Series Research Career Programs; Laboratory Finding; Lead; Learning; Light; Link; Longitudinal Studies; Machine Learning; Measures; Mentors; Methodology; Methods; Modeling; Motion; Motion Perception; Movement; Nature; Near-Infrared Spectroscopy; Organism; Outcome; Pathogenesis; Pattern; Perception; Performance; Prefrontal Cortex; Process; Psychopathology; Research; Research Personnel; Role; Scanning; Scientist; Signal Transduction; Social Perception; Statistical Methods; Stream; Stress; Structure; Structure of superior temporal sulcus; System; Talents; Techniques; Technology; Toddler; Translating; Visual; Work; animation; autism spectrum disorder; base; behavior measurement; behavioral outcome; behavioral response; behavioral study; biobehavior; cognitive neuroscience; cognitive process; cohort; collaborative environment; computer science; data mining; design; disorder control; emotional stimulus; experience; gaze; infancy; information processing; neural circuit; neural correlate; neurobehavioral; neuroimaging; new technology; novel marker; novel strategies; preference; programs; public health relevance; relating to nervous system; response; social; social cognition; spatiotemporal; technology development; theories; tool

 DESCRIPTION (provided by applicant): Mentored Career Development Award for Frederick Shic, Ph.D. This application will support my development as a scientist, giving me the tools necessary to advance as an independent investigator. For the last 9 years, I have been invested in understanding the early visual social-cognitive processes of infants and toddlers with autism spectrum disorders (ASD). I have developed new technologies and new approaches for analyzing eye-tracking data, drawing heavily on my experiences as a software developer and engineer. I have conducted several studies of atypical visual social cognition in ASD, charting early developmental trajectories of the disorder and offering new perspectives on the nature of information processing atypicalities in ASD. I bring a unique toolset and perspective to the field of autism research. I am currently building a lab centered on developing new, consumer- ready technologies that translate theoretical mechanisms of change and laboratory findings into clinically- meaningful tools for individuals with ASD. At the moment, the development of new technologies for helping children with ASD is progressing incredibly rapidly. Countless software applications, tools, and techniques have been proposed, and the breadth and pace of these new developments is breathtaking. My goal is to ground these new developments in an approach that leverages a rich understanding of developmental theory, brain development, and behavior. Although I have experience studying behavior, I will benefit from more directed and concerted instruction; to become an expert in developmental theory and methods for the study of brain development, I will need a specific, comprehensive program of guided education as well as hands-on learning opportunities. Combining an understanding of developmental cognitive neuroscience with technology development will result in a more theoretically complete picture of the processes of change and will accelerate methods for developing and refining new technologies. This approach will make me an extremely unique investigator in the field of autism research, allowing me to use my talents and abilities to discover more about the fundamental nature of atypical developmental processes in ASD and to develop new technologies to effect positive change in individuals affected by the disorder. To this end, I am seeking to deepen and broaden my understanding of 3 fields: (a) developmental cognitive neuroscience and neuroimaging; (b) clinical/behavioral aspects of the developmental psychopathology of autism; and (c) statistical methods for combining and modeling complex data streams. In a keystone research experience, I propose to combine my expertise in eye tracking with functional near-infrared spectroscopy (fNIRS), a neuroimaging technique applicable to individuals with ASD from infancy to adulthood and which targets the same underlying dynamic processes as the standard-of-field neuroimaging technique, functional magnetic resonance imaging (fMRI). In my proposal, I will examine neural correlates of emotional biological motion processing in toddlers and children with ASD (N = 30) as compared to typically developing (TD; N = 30) and developmentally delayed (DD; N = 20) toddlers and children.

 描述（由申请人提供）： Frederick Shic 博士的指导职业发展奖 该申请将支持我作为一名科学家的发展，为我提供作为独立研究者前进所需的工具。我致力于了解患有自闭症谱系障碍 (ASD) 的婴儿和幼儿的早期视觉社会认知过程，并大量借鉴了我作为软件开发人员和工程师的经验，开发了用于分析眼球追踪数据的新技术和新方法。实施我对自闭症谱系障碍的非典型视觉社会认知进行了多项研究，绘制了该疾病的早期发展轨迹，并为自闭症谱系障碍信息处理非典型性的本质提供了新的视角，我目前正在建立一个独特的工具集和视角。实验室开发以面向消费者的新技术为中心，将理论变化机制和实验室研究结果转化为对自闭症谱系障碍患者有临床意义的工具。目前，帮助自闭症谱系障碍儿童的新技术的开发正在迅速发展。应用程序，工具和技术已经被提出，这些新发展的广度和速度是惊人的，尽管我有经验，但我的目标是利用对发展理论、大脑发育和行为的丰富理解来基础这些新发展。研究行为，我将受益于更定向和协调的指导；要成为研究大脑发育的发展理论和方法的专家，我将需要一个具体的、全面的指导教育计划以及结合实践的学习机会。随着技术的发展对发展认知神经科学的理解将导致从理论上更完整地描述变化的过程，并将加速开发和完善新技术的方法，这种方法将使我成为自闭症研究领域极其独特的研究者，使我能够利用我的才能和能力来发现更多关于自闭症的知识。自闭症谱系障碍（ASD）非典型发育过程的基本性质，并开发新技术来为受该疾病影响的个体带来积极的改变。为此，我正在寻求加深和拓宽我对三个领域的理解：(a) 发育认知神经科学和神经影像学； (b) 临床/行为自闭症发展精神病理学的各个方面；以及（c）组合和建模复杂数据流的统计方法，在一项关键研究经验中，我建议将我在眼动追踪方面的专业知识与功能性近红外光谱（fNIRS）（一种神经成像技术）相结合。适用于从婴儿期到成年期的自闭症谱系障碍患者，其目标与标准场神经成像技术、功能磁共振成像 (fMRI) 相同的潜在动态过程。在我的建议中，我将研究情绪生物运动处理的神经相关性。患有自闭症谱系障碍 (ASD) 的幼儿和儿童 (N = 30) 与正常发育 (TD; N = 30) 和发育迟缓 (DD; N = 20) 幼儿和儿童相比。