Neuroimaging Core
神经影像核心
基本信息
- 批准号:10216924
- 负责人:
- 金额:$ 51.36万
- 依托单位:
- 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:
- 关键词:AgingAir PollutantsAir PollutionAlzheimer&aposs DiseaseAlzheimer&aposs disease brainAlzheimer&aposs disease riskAmericanAmygdaloid structureAmyloidAngiographyAnimalsAnisotropyAutopsyBlood - brain barrier anatomyBlood VesselsBrainBrain imagingBrain regionCerebrovascular CirculationClinicalCognitionCognitiveCognitive agingComputer softwareConfocal MicroscopyDataData AnalysesDiffuseDiffusion Magnetic Resonance ImagingDiseaseEpisodic memoryEquationExperimental Animal ModelExposure toHeterogeneityHippocampus (Brain)HumanImageImage AnalysisImmunofluorescence MicroscopyImpaired cognitionInjuryLeadMRI ScansMachine LearningMagnetic Resonance ImagingMapsMeasuresMedialMediatingMediationMissionModelingMusNerve DegenerationParticipantPatternPopulationPopulation StudyRadialResearchResearch PersonnelRiskScanningScientistSpin LabelsStandardizationStructureTemporal LobeTestingThickTimeValidationWhite Matter HyperintensityWorkbasebiomarker signatureblood-brain barrier permeabilizationcerebrovascularcohortcontrast enhanceddata standardsdimensional analysisexecutive functionfollow-upfrontal lobehigh dimensionalityin vivomagnetic resonance imaging biomarkermild cognitive impairmentneuroimagingneurovascular unitnovelpre-clinicalprospectiveresponsetau Proteinstooltractographytraitwhite 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,主任)为项目1-4提供大脑图像分析,
空气污染的神经退行性反应次核心B1(M. Braskie)支持项目1和2对人类
脑MR图像。子核心B2(B. Zlokovic)支持小鼠大脑的项目3和4。
亚核心B1人类神经成像
目的1:在ADNI、WHIMS和VETSA队列中进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
(海马和杏仁核)和区域白色物质。我们还将评估白色
高密度物质体积。在ADNI和VETSA中,我们将分析弥散张量成像扫描。
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和项目2在其拟议的调解分析中使用结构性的有针对性的方法
方程模型(SEM)和高维分析的不可知方法。
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、血脑屏障(BBB)
渗透性、血管造影和MRI纤维束成像。
目标二。通过免疫荧光共聚焦显微镜对神经血管单位和血脑屏障进行死后研究。
目标3。超高场MRI通过扩散率和追踪成像图检测小鼠连接性变化
通过动态对比增强(DCE)-MRI定量BBB渗透性。
目的4分析项目3和项目4的小鼠数据。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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PAUL M THOMPSON其他文献
PAUL M THOMPSON的其他文献
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{{ truncateString('PAUL M THOMPSON', 18)}}的其他基金
FiberNET: Deep learning to evaluate brain tract integrity worldwide and in AD
FiberNET:深度学习评估全球和 AD 脑道完整性
- 批准号:
10814696 - 财政年份:2020
- 资助金额:
$ 51.36万 - 项目类别:
ENIGMA-SD: Understanding Sex Differences in Global Mental Health through ENIGMA
ENIGMA-SD:通过 ENIGMA 了解全球心理健康中的性别差异
- 批准号:
9892045 - 财政年份:2018
- 资助金额:
$ 51.36万 - 项目类别:
Multi-Source Sparse Learning to Identify MCI and Predict Decline
多源稀疏学习识别 MCI 并预测衰退
- 批准号:
9008380 - 财政年份:2016
- 资助金额:
$ 51.36万 - 项目类别:
ENIGMA Center for Worldwide Medicine, Imaging & Genomics
ENIGMA 全球医学影像中心
- 批准号:
9108710 - 财政年份:2014
- 资助金额:
$ 51.36万 - 项目类别:
Growth factors, neuroinflammation, exercise, and brain integrity
生长因子、神经炎症、运动和大脑完整性
- 批准号:
8696676 - 财政年份:2014
- 资助金额:
$ 51.36万 - 项目类别:
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