Core C: Neuroimaging Core

核心 C：神经影像核心

• 批准号: 10261334
• 负责人: Corey T McMillan
• 金额: $ 34.92万
• 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/10261334
• 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; Spin Labels; Structure; Syndrome; Tauopathies; Thick; Time; Translating; Vacuole; Water; White Matter Disease; 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; multimodality; 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.

额颞叶变性（FTD）是一种进行性疾病，其特征是病理学和 然而，神经退行性病变主要分布在额叶和颞叶。 FTD 患者疾病分布的异质性，包括几种临床表型、几种 疾病的潜在病理来源和遗传贡献的不同来源。 神经影像，包括结构 MRI (sMRI) 和扩散 MRI (dMRI)，提供了重要的工具 表征个体中 FTD 的异质性和分布式基因座，以便客观地改善 FTLD-tau 和 FTLD-TDP 之间的诊断区别，将这些病理学与表型联系起来，以及 了解这些复杂网络疾病的生物学机制。 静息态 BOLD fMRI (rsfMRI) 方法通过提供额外的独特见解来增强 sMRI 和 dMRI 7T MRI 为了解早期疾病的起源、发生率和模式以及纵向进展提供了独特的方法。 有机会更好地了解区分 FTLD-TDP 和 FTLD-Tau 的微观结构机制。 因此，Imaging Core C 的总体目标是提供必要的基础设施来支持最先进的技术 本研究项目I-V中神经影像数据的3T和7T MRI采集和网络分析 该核心课程还将与核心 B-E 课程紧密结合，以促进我们的跨学科和跨学科课程。 融合体内和离体方法来提高我们对 FTD 作为网络疾病的理解。 特别是，我们将生成反映 MRI 衍生的 FTD 大脑结构特性的图“节点”和图 反映结构和/或功能连接的“边缘”，以促进网络神经科学方法 为了实现这个目标，我们提出了 3 个具体目标：(1) 收集最先进的体内技术。 FTD 患者的 3T MRI 多模态神经影像数据，包括 sMRI、dMRI、pMRI 和 rsfMRI (2) 提供 标准操作程序 (SOP) 的横截面和纵向图像处理流程 神经影像测量；(3) 开发新颖的 7 Tesla (7T) 采集策略以产生超高 分辨率（<0.3mm3）数据并测试生物驱动的假设。