Core C: Neuroimaging Core

核心 C：神经影像核心

• 批准号: 10454266
• 负责人: Corey T McMillan
• 金额: $ 35.91万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-15 至 2025-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10454266
• 关键词: 3-Dimensional; Aging; Anatomy; Autopsy; Bilateral; Bioinformatics; Biological; Biological Testing; Brain; Cells; Cerebrum; Clinical; Collaborations; Collection; Complex; Data; Detection; Diagnostic; Diffuse; Diffusion Magnetic Resonance Imaging; Discrimination; Disease; Functional Magnetic Resonance Imaging; Genetic; Genotype; Goals; Graph; Heterogeneity; Human; Image; Imaging Techniques; Individual; Infrastructure; Left; MRI Scans; Magnetic Resonance Imaging; Magnetic Resonance Spectroscopy; Measurement; Measures; Methods; Morphologic artifacts; Motion; Nerve Degeneration; Neurosciences; Parietal Lobe; Pathologic; Pathology; Pathway Analysis; Patients; Pattern; Perfusion; Phenotype; Primary Progressive Aphasia; Procedures; Property; Protocols documentation; Reproducibility; Research; Resolution; Resources; Rest; Series; Source; Syndrome; Tauopathies; Thick; Time; Translating; Vacuole; Water; White Matter Disease; arterial spin labeling; behavioral variant frontotemporal dementia; clinical phenotype; comparative; connectome; diffusion weighted; disease heterogeneity; frontotemporal degeneration; gray matter; image processing; image registration; improved; in vivo; in vivo imaging; insight; interest; multimodal neuroimaging; network dysfunction; neuroimaging; neuron loss; neuropathology; novel; open source; prisma; programs; prospective; protein TDP-43; recruit; serial imaging; support network; tau Proteins; tool; ultra high resolution; white matter

Frontotemporal degeneration (FTD) is a progressive disorder characterized by pathology and neurodegeneration in a predominantly frontal and temporal anatomic distribution. However, there is extensive heterogeneity of disease distribution across individuals with FTD, including several clinical phenotypes, several underlying pathological sources of disease, and distinct sources of genetic contributions. Multimodal neuroimaging, including structural MRI (sMRI) and diffusion MRI (dMRI), provides an important tool to characterize the heterogeneous and distributed loci of FTD in individuals in order to objectively improve the diagnostic discrimination between FTLD-tau and FTLD-TDP, relate these pathologies to phenotypes, and inform the biological mechanisms of these complex network disorders. Functional perfusion MRI (pMRI) and resting state BOLD fMRI (rsfMRI) approaches enhance sMRI and dMRI by providing additional unique insights into the origin, rate, and pattern of early disease and longitudinal progression. 7T MRI provides a unique opportunity to better understand the microstructural mechanisms that distinguish FTLD-TDP from FTLD-Tau. Thus, the overall goal of Imaging Core C is to provide the necessary infrastructure to support state-of-the-art 3T and 7T MRI acquisition and network analyses of neuroimaging data in Projects I-V of this research program. This Core will also be closely integrated with Cores B-E to facilitate our interdisciplinary and convergent in vivo and ex vivo approach to improving our understanding of FTD as a network disorder. In particular, we will generate graph “nodes” reflecting MRI-derived structural properties of FTD brains and graph “edges” reflecting structural and/or functional connectivity to facilitate the network neuroscience approach of each individual project. To accomplish this goal we propose 3 Specific Aims: (1) Collect state-of-the-art in vivo 3T MRI multimodal neuroimaging data in FTD patients including sMRI, dMRI, pMRI, and rsfMRI; (2) Provide a cross-sectional and longitudinal image processing pipeline for standard operating procedure (SOP) neuroimaging measurements; and (3) Develop novel 7 Tesla (7T) acquisition strategies to yield ultra-high- resolution (<0.3mm3) data and test biologically-motivated hypotheses.

额颞变性（FTD）是一种进行性疾病，其特征是病理学和 在主要的额叶和临时解剖分布中的神经变性。但是，有广泛的 跨FTD个体的疾病分布的异质性，包括几种临床表型，几种 疾病的潜在病理来源以及遗传贡献的不同来源。多模式 神经影像学，包括结构MRI（SMRI）和扩散MRI（DMRI），为 表征个体中FTD的异构和分布的本地，以便客观地改善 FTLD-TAU和FTLD-TDP之间的诊断歧视，将这些病理与表型联系起来，以及 告知这些复杂网络疾病的生物学机制。功能性灌注MRI（PMRI）和 静止状态BOLD FMRI（RSFMRI）方法通过提供其他独特的见解来增强SMRI和DMRI 早期疾病和纵向进展的起源，速度和模式。 7T MRI提供了独特的 更好地了解将FTLD-TDP与FTLD-TAU区分开的微观结构机制。 这就是成像核心C的总体目标是提供必要的基础架构来支持最新 3T和7T MRI获取和网络分析该研究的项目I-V中的神经影像学数据 程序。该核心也将与核心B-E紧密整合，以促进我们的跨学科和 融合体内和离体方法，以提高我们对FTD作为网络疾病的理解。在 特别是，我们将生成图形“节点”，以反映FTD大脑和图形的MRI衍生结构特性 “边缘”反映结构和/或功能连接，以促进网络神经科学方法 每个项目。为了实现这一目标，我们提出了3个具体目标：（1）在体内收集最先进的目标 FTD患者（包括SMRI，DMRI，PMRI和RSFMRI）的3T MRI多模式神经影像学数据； （2）提供 标准操作程序（SOP）的横截面和纵向图像处理管道 神经影像测量； （3）开发新颖的7特斯拉（7T）采集策略，以产生超高 分辨率（<0.3mm3）数据和测试生物动机的假设。