Neuroimaging Core

神经影像核心

基本信息

批准号：
10216924
负责人：
PAUL M THOMPSON
金额：
$ 51.36万
依托单位：
UNIVERSITY OF SOUTHERN CALIFORNIA
依托单位国家：
美国
项目类别：
财政年份：
2018
资助国家：
美国
起止时间：
2018-07-01 至 2023-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10216924
关键词：
Aging Air Pollutants Air Pollution Alzheimer&apos s Disease Alzheimer&apos s disease brain Alzheimer&apos s disease risk American Amygdaloid structure Amyloid Angiography Animals Anisotropy Autopsy Blood - brain barrier anatomy Blood Vessels Brain Brain imaging Brain region Cerebrovascular Circulation Clinical Cognition Cognitive Cognitive aging Computer software Confocal Microscopy Data Data Analyses Diffuse Diffusion Magnetic Resonance Imaging Disease Episodic memory Equation Experimental Animal Model Exposure to Heterogeneity Hippocampus (Brain)Human Image Image Analysis Immunofluorescence Microscopy Impaired cognition Injury Lead MRI Scans Machine Learning Magnetic Resonance Imaging Maps Measures Medial Mediating Mediation Mission Modeling Mus Nerve Degeneration Participant Pattern Population Population Study Radial Research Research Personnel Risk Scanning Scientist Spin Labels Standardization Structure Temporal Lobe Testing Thick Time Validation White Matter Hyperintensity Work base biomarker signature blood-brain barrier permeabilization cerebrovascular cohort contrast enhanced data standards dimensional analysis executive function follow-up frontal lobe high dimensionality in vivo magnetic resonance imaging biomarker mild cognitive impairment neuroimaging neurovascular unit novel pre-clinical prospective response tau Proteins tool tractography trait white matter

项目摘要

Abstract Core B The Imaging Core B (Paul Thompson, Director) provides brain image analysis for Projects 1-4, which analyze neurodegenerative responses to air pollution. Sub-core B1 (M. Braskie) supports Projects 1 and 2 on human brain MR images. Sub-core B2 (B. Zlokovic) supports Projects 3 and 4 on mouse brain. Sub-core B1 Human Neuroimaging Aim 1: Perform standardized structural image analyses in the ADNI, WHIMS and VETSA cohorts to assess voxelwise cortical thickness, volumes of selected Alzheimer's disease (AD)-relevant subcortical structures (hippocampus and amygdala), and regional white matter using FreeSurfer software. We will also assess white matter hyperintensity volumes. In ADNI and VETSA we will analyze diffusion tensor imaging scans. Aim 2: Use machine learning to generate structural MRI cortical signatures and associated predicted risk scores related to risk for preclinical AD, mild cognitive impairment, and AD. Aim 3: Support Projects 1 & 2 in their proposed mediation analyses using both targeted approach in structural equation models (SEM) and agnostic approach with high-dimensional analyses. Sub-Core B2, Mouse brain imaging. Aim 1. Perform in vivo mouse brain imaging to assess cerebral blood flow, blood brain barrier (BBB) permeability, vascular angiography, and MRI tractography. Aim 2. Postmortem studies of the neurovascular unit & BBB by confocal microscopy for immunofluorescence. Aim 3. Ultra-highfield MRI to detect mouse connectivity changes through diffusivity and tractography maps & quantification of BBB permeability by dynamic contrast enhanced (DCE)-MRI. Aim 4 Analyze mouse data from Projects 3 and 4.

抽象核心B 成像核心 B（Paul Thompson，总监）为项目 1-4 提供大脑图像分析，其中分析对空气污染的神经退行性反应。子核心 B1（M. Braskie）支持关于人类的项目 1 和 2 大脑 MR 图像。子核心 B2 (B. Zlokovic) 支持关于小鼠大脑的项目 3 和 4。子核心 B1 人类神经影像学目标 1：在 ADNI、WHIMS 和 VETSA 队列中执行标准化结构图像分析以评估体素皮质厚度、选定的阿尔茨海默病 (AD) 相关皮质下结构的体积（海马体和杏仁核），以及使用 FreeSurfer 软件的区域白质。我们还将评估白色物质高信号量。在 ADNI 和 VETSA 中，我们将分析扩散张量成像扫描。目标 2：使用机器学习生成结构 MRI 皮质特征和相关的预测风险与临床前 AD、轻度认知障碍和 AD 风险相关的评分。目标 3：支持项目 1 和 2 在其提议的调解分析中使用结构性目标方法方程模型 (SEM) 和具有高维分析的不可知论方法。子核心 B2，小鼠脑成像。目标 1. 进行体内小鼠脑成像以评估脑血流量、血脑屏障 (BBB) 渗透性、血管造影和 MRI 纤维束成像。目标 2. 通过免疫荧光共聚焦显微镜对神经血管单元和血脑屏障进行死后研究。目标 3. 超高场 MRI 通过扩散率和纤维束成像图检测小鼠连接性变化通过动态对比增强 (DCE)-MRI 量化 BBB 通透性。目标 4 分析项目 3 和 4 中的小鼠数据。