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是神经成像/神经生产的核心，为来自EEG，MRI和眼动研究的脑生物标志物数据的获取，分析和整合提供了全面的服务。迫切需要开发自闭症的脑生物标志物，这些生物标志物在年龄范围和严重程度之间是相关的，并且对检测早期脑异常，发育轨迹和对治疗的反应很敏感。该中心的五个项目中的每个项目都将利用Core C提供的服务，资源和专业知识来更广泛地解决特定的目标和中心主题。核心将提供四个主要功能：1）主题的准备和脱敏； 2）跨项目和方式实施一组通用的任务； 3）数据采集，以及4）与项目分析和集成，以解决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中，我们可以提供一组通用的措施，这些措施始终跨主题和方法获得，从而使我们能够将数据集成到跨项目协作中。共同的任务将解决核心主题，包括语言获取，隐性（统计）学习和社会关注。我们可以使用出色的基础设施和设备资源来获取提出的核心措施：这些是结构性MRI，扩散张量成像（DTI）静止状态MRI，功能性MRI激活。静止和激活脑电图，眼睛跟踪和瞳孔测定法。核心为这些数据的获取和分析提供了专家团队。此外，核心将支持几种新颖的数据分析和集成方法，包括图理论方法，以理解跨模式应用的大脑连接网络，以及用于预测结果，组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，将与项目和核心调查人员合作，将神经影像学和神经生理学的发现与特定于项目的数据集成，以解决项目目标和ACE中央主题。