Core C: Neuroimaging Core

核心 C：神经影像核心

• 批准号: 10625541
• 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/10625541
• 关键词: 3-Dimensional; Aging; Anatomy; Autopsy; Bilateral; Bioinformatics; Biological; Biological Testing; Brain; Cells; Cerebrum; Clinical; Collaborations; Collection; Complex; Data; Dedications; Detection; Diagnostic; Diffusion Magnetic Resonance Imaging; Discrimination; Disease; Disease Progression; Frontotemporal Lobar Degenerations; 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; Regional Anatomy; Reproducibility; Research; Resolution; Resources; Rest; Series; Source; Structure; Syndrome; Tauopathies; Thick; Time; Translating; Water; White Matter Disease; arterial spin labeling; behavioral variant frontotemporal dementia; clinical phenotype; comparative; connectome; demented; 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.

额颞叶变性（FTD）是一种以病理学为特征的进行性疾病， 神经退行性变主要分布在额叶和颞叶解剖分布。然而，有广泛的 FTD个体间疾病分布的异质性，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。多式 神经成像，包括结构MRI（sMRI）和弥散MRI（dMRI），提供了一个重要的工具， 表征个体中FTD的异质性和分布性基因座，以客观地改善 FTLD-tau和FTLD-TDP之间的诊断区分，将这些病理与表型相关联，以及 为这些复杂网络紊乱的生物机制提供信息。功能性灌注MRI（pMRI）和 静息状态BOLD fMRI（rsfMRI）方法通过提供额外的独特见解来增强sMRI和dMRI 早期疾病和纵向进展的起源、速率和模式。7 T MRI提供了独特的 有机会更好地了解区分FTLD-TDP和FTLD-Tau的微观结构机制。 因此，成像核心C的总体目标是提供必要的基础设施，以支持最先进的 本研究项目I-V中神经影像学数据的3 T和7 T MRI采集和网络分析 程序.该核心还将与核心B-E紧密结合，以促进我们的跨学科和 会聚在体内和离体的方法，以提高我们的理解FTD作为一个网络障碍。在 特别地，我们将生成反映FTD大脑和图的MRI衍生结构特性的图“节点”。 反映结构和/或功能连接的“边缘”，以促进网络神经科学方法， 每个单独的项目。为了实现这一目标，我们提出了3个具体目标：（1）收集最先进的体内 FTD患者的3 T MRI多模式神经成像数据，包括sMRI、dMRI、pMRI和rsfMRI;（2）提供 用于标准操作程序（SOP）的横截面和纵向图像处理流水线 神经影像学测量;（3）开发新的7特斯拉（7 T）采集策略，以产生超高 分辨率（<0.3mm3）数据和测试生物学动机的假设。