Neuroimaging/Neurophysiology

神经影像学/神经生理学

基本信息

批准号：
9121399
负责人：
SUSAN Y BOOKHEIMER
金额：
$ 19.08万
依托单位：
UNIVERSITY OF CALIFORNIA LOS ANGELES
依托单位国家：
美国
项目类别：
财政年份：
资助国家：
美国
起止时间：
至 2017-09-06
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9121399
关键词：
Address Adult Age Autistic Disorder Behavior Biological Biological Markers Brain Brain imaging Characteristics Child Collaborations Data Data Analyses Data Set Development Diffusion Magnetic Resonance Imaging Electroencephalography Electrophysiology (science)Ensure Equipment Eye Eye Movements Foundations Fright Functional Magnetic Resonance Imaging Genetic Genetic Variation Graph Head Human Resources Image Infant Instruction Intervention Language Development Lead Learning Machine Learning Magnetic Resonance Imaging Measures Medical Methods Modality Monitor Motion Neurobiology Noise Outcome Pathway interactions Phenotype Population Preparation Research Research Infrastructure Research Personnel Resources Rest Risk Factors Services Severities Strategic Planning Structure Subgroup Symptoms Techniques Technology Toddler Variant Work autism spectrum disorder base behavioral response biobehavior brain abnormalities cognitive process data acquisition data integration desensitization design disorder risk experience genetic risk factor graph theory in vivo infancy information processing multidisciplinary neuroimaging neuropathology neurophysiology novel strategies outcome prediction response social attention statistics treatment response

项目摘要

Core C, the Neuroimaging/Neurophysiolgy Core, provides comprehensive services for acquisition, analysis, and integration of brain biomarker data from EEG, MRI, and eye tracking studies. There is a critical need to develop brain biomarkers of autism that are relevant across age ranges and severity level, and that are sensitive for detecting early brain abnormalities, developmental trajectories, and response to treatment. Each of the five Projects in the center will utilize services, resources and expertise provided by Core C to address specific aims and Center themes more generally. The Core will provide four main functions: 1) Subject preparation and desensitization; 2) implementing a common set of tasks across projects and modalities; 3) data acquisition, and 4) data analysis and integration with projects to address specific aims and facilitate cross-project collaborations. By centralizing these modalities within the same core we can provide a common set of measures, acquired consistently across subjects and methods, allowing us to integrate data in cross- project collaborations. Common tasks will address core themes including language acquisition, implicit (statistic) learning, and social attention. We have access to outstanding infrastructure and equipment resources for acquiring the core measures proposed: these are structural MRI, Diffusion Tensor Imaging (DTI) resting state MRI, functional MRI activation. Resting and activation EEG, eye tracking and pupillometry. The Core provides a team of experts in acquisition and analysis of these data. Further, the core will support several novel approaches to data analysis and integration including graph theoretical approaches to understand brain connectivity networks applied across modalities, and machine learning analytic approaches for predicting outcomes, groups, or phenotypic characteristics. Working in tandem with the statistics unit, the Core personnel will work with project and core investigators to integrate neuroimaging and neurophysiology findings with project-specific data to address both project aims and the ACE central themes.

Core C 是神经影像/神经生理学核心，为脑电图、MRI 和眼动追踪研究中的大脑生物标志物数据的采集、分析和集成提供全面的服务。迫切需要开发与年龄范围和严重程度相关的自闭症大脑生物标志物，并且对检测早期大脑异常、发育轨迹和治疗反应敏感。该中心的五个项目中的每一个都将利用核心 C 提供的服务、资源和专业知识来更广泛地实现特定目标和中心主题。核心将提供四个主要功能：1）受试者准备和脱敏； 2) 跨项目和模式实施一组共同的任务； 3) 数据采集，4) 数据分析以及与项目的集成，以实现特定目标并促进跨项目协作。通过将这些模式集中在同一核心内，我们可以提供一套通用的衡量标准，这些衡量标准在不同主题和方法之间一致获得，从而使我们能够在跨项目协作中集成数据。常见任务将解决核心主题，包括语言习得、内隐（统计）学习和社会关注。我们拥有优秀的基础设施和设备资源来获取所提出的核心措施：这些是结构 MRI、扩散张量成像 (DTI) 静息态 MRI、功能性 MRI 激活。静息和激活脑电图、眼动追踪和瞳孔测量。核心提供了一个采集和分析这些数据的专家团队。此外，该核心将支持几种新颖的数据分析和集成方法，包括用于理解跨模式应用的大脑连接网络的图论方法，以及用于预测结果、群体或表型特征的机器学习分析方法。核心人员将与统计部门合作，与项目和核心研究人员合作，将神经影像学和神经生理学发现与项目特定数据相结合，以实现项目目标和 ACE 中心主题。