Mapping human brain perivascular space in lifespan using human connectome project data

项目总结 血管周围间隙是神经胶质淋巴循环的重要组成部分，有助于清除可溶性的 废物。血管周围空间和大脑清除系统在正常发育中的作用， 衰老，认知不完全，主要是由于缺乏神经成像能力。然而， 现在已经进行了高精度和高可靠性的无创性血管周围间隙液体的活体标测 根据我们最近的分析进展，使用人类连接组计划(HCP)数据，这是可能的。目标是 这个项目的目的是绘制血管周围空间流体在整个生命周期内的结构和扩散特征。PVS功能 包括PVS存在(例如，计数和体积分数)和扩散(例如，扩散率和各向异性)。这些 特征将在整个大脑中进行区域和全局提取。结构核磁共振将提供信息 关于PVS和弥散的定位和范围，将使用MRI来研究生物物理特性 PVS液体和周围组织。中心假说是血管周围的液体增加 在整个生命周期内。我们还假设血管周围空间存在个体差异，作为以下因素的函数 人口统计、一般健康和生活方式健康选择，如体重指数、血压、烟草 使用和睡眠质量。中心假设将通过刻画标准地图来检验 血管周围液体的寿命及其与不同的人口统计学、认知测量和 健康因素。我们还将研究受试者的神经行为表现是否可以通过 血管周围间隙特征。我们将通过应用创新的基于MRI的计算来实现这些目标 我们最近在HCP数据上开发和优化的技术。我们还将使用青少年大脑认知 发展(ABCD)研究建立第一个神经发育PVS的标准模板。在一起，我们的 这些发现最终将使我们能够更好地了解人类的大脑清除系统，我们共同的 血管周围空间标测工作流程可以为研究人员提供广泛的研究资源 神经方面的情况。

PROJECT SUMMARY Perivascular spaces are a critical component of the glia-lymphatic circuit, facilitating the clearance of soluble waste. The role of perivascular spaces and changes in the brain’s clearance system in normal development, aging, and cognition is not fully understood, mainly due to lack of neuroimaging capabilities. However, noninvasive in vivo mapping of the perivascular space fluid with high accuracy and reliability is now made possible with our recent analytical developments, using human connectome project (HCP) data. The objective of this project is to map structural and diffusion features of perivascular space fluid across lifespan. PVS features include PVS presence (e.g., count and volume fraction) and diffusion (e.g., diffusivity and anisotropy). These features will be extracted regionally and globally across the brain. Structural MRI will provide information regarding localization and extent of the PVS and diffusion MRI will be used to investigate biophysical properties of the PVS fluid and surrounding tissue. The central hypothesis is that the perivascular space fluid increases across lifespan. We also hypothesize that individual differences exist in perivascular spaces as a function of demographic, general health and lifestyle health choices, such as body mass index, blood pressure, tobacco use and sleep quality. The central hypothesis will be tested by characterizing the normative map of the perivascular space fluid across the lifespan and in relation to various demographic, cognitive measures, and health factors. We will also examine whether subjects neuro-behavioral performances can be predicted by perivascular space features. We will pursue these aims by applying innovative MRI-based computational techniques that we recently developed and optimized on HCP data. We will also use Adolescent Brain Cognitive Development (ABCD) Studies to build first normative template of PVS in neurodevelopment. Together, our findings will ultimately allow for a better understanding of the human brain clearance system, and our shared perivascular space mapping workflow can provide a resource for researchers to study a wide range of neurological conditions.