Imaging Cerebral Small Vessels in Vascular Cognitive Impairment and Dementia (VCID)

血管性认知障碍和痴呆 (VCID) 中的脑小血管成像

基本信息

批准号：
10745164
负责人：
Xuejuan Jiang
金额：
$ 248.77万
依托单位：
UNIVERSITY OF SOUTHERN CALIFORNIA
依托单位国家：
美国
项目类别：
财政年份：
2023
资助国家：
美国
起止时间：
2023-09-01 至 2026-08-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10745164
关键词：
3-Dimensional Acceleration African American Age Aging Alzheimer&apos s Disease Alzheimer&apos s disease related dementia Asian Asian Americans Atrophic Behavioral Blood Blood Vessels Blood capillaries Brain Caucasians Cerebral small vessel disease Cerebrum Clinical Cognitive Data Dementia Development Diffusion Early Intervention Enrollment Evaluation Goals Guidelines Head Image Image Analysis Imaging Device Imaging technology Knowledge Lacunar Infarctions Latinx Lesion Longitudinal cohort Los Angeles Magnetic Resonance Imaging Maps Mediating Morphology Motion Neuropsychology Participant Pathway Analysis Perforating Artery Perfusion Physics Physiological Population Prevention Protocols documentation Public Health Research Research Priority Resolution Resources Risk Speed Stroke Surrogate Markers Techniques Testing Three-dimensional analysis Training Visit Visualization aged analysis pipeline arterial spin labeling arteriole behavioral phenotyping biomedical imaging cerebral microbleeds cerebrovascular clinical diagnosis cohort deep learning algorithm density disease phenotype executive function health disparity high risk imaging biomarker improved in vivo imaging longitudinal analysis mild cognitive impairment mixed dementia multi-ethnic multidisciplinary novel potential biomarker racial diversity recruit symposium vascular cognitive impairment and dementia venule white matter

项目摘要

Project Summary/Abstract Vascular contributions to cognitive impairment and dementia (VCID) is becoming increasingly recognized as an important cause of dementia. Cerebral small vessel disease (cSVD) is the most common vascular cause of dementia, a major contributor to mixed dementia, and the cause of about one fifth of all strokes worldwide. However, the underlying mechanisms of cSVD remain poorly understood. The large knowledge gap in cSVD is partly because cerebral small vessels, including arterioles, capillaries and venules, are inaccessible to existing in vivo imaging technologies. During the past few years, our group has spearheaded the development of a new high-resolution black-blood MRI technique for the visualization, segmentation and quantification of cerebral small vessels including lenticulostriate and superficial perforating arteries and venules. This technique offers an isotropic ~0.5mm spatial resolution, adequate flow suppression for small vessels due to the long echo train, and near whole-brain coverage in ~10min at clinical field strength of 3T. We further developed a comprehensive 3D analysis pipeline for quantifying the morphology and density of cerebral small vessels with sizes on the order of a few hundred microns. In addition, we have a longstanding track record in developing and applying arterial spin labeling (ASL) techniques for quantifying microvascular perfusion – a key physiological parameter and potential biomarker for cSVD. Our preliminary data demonstrated expected changes in small vessel morphology and density as well as microvascular perfusion with aging, vascular risks and mild cognitive impairment (MCI), supporting the use of metrics of small vessel morphology/density and microvascular perfusion as imaging markers of cSVD and VCID. The primary goals of this project are to further optimize the acquisition protocol and analysis pipeline for mapping and quantifying cerebral small vessels using black-blood and ASL MRI at 3T, and to systematically evaluate metrics of small vessel morphology/density and perfusion as imaging biomarkers of VCID in a multiethnic longitudinal cohort of 200 subjects that are enriched for small vessel VCID. In particular, our study will enroll a cohort of 50 Asian Americans who are among the fastest growing populations in the US but are highly underrepresented in ADRD research. This project is expected to result in a powerful suite of imaging tools for comprehensive characterization of the morphology and function of cerebral small vessels, as well as to fill in the important gap in health disparities of Asian Americans in ADRD research.

项目概要/摘要人们越来越认识到血管对认知障碍和痴呆 (VCID) 的影响脑小血管病（cSVD）是痴呆症最常见的血管原因。痴呆症是混合性痴呆症的主要原因，也是全世界约五分之一中风的原因。然而，cSVD 的基本机制仍然知之甚少。部分原因是现有的脑小血管（包括小动脉、毛细血管和小静脉）无法进入在过去的几年里，我们的团队率先开发了一种新的体内成像技术。高分辨率黑血 MRI 技术，用于大脑的可视化、分割和量化这种技术提供了小血管，包括豆纹和浅表穿支动脉和小静脉。各向同性 ~0.5mm 空间分辨率，由于长回波序列，对小血管有足够的流量抑制，并在 3T 临床场强下约 10 分钟内接近全脑覆盖。全面的 3D 分析流程，用于量化脑小血管的形态和密度此外，我们在开发方面拥有长期的记录。并应用动脉自旋标记 (ASL) 技术来量化微血管灌注——关键我们初步证明的 cSVD 生理参数和潜在生物标志物。小血管形态和密度的变化以及微血管灌注随衰老、血管风险的变化和轻度认知障碍（MCI），支持使用小血管形态/密度和微血管灌注作为 cSVD 和 VCID 的成像标志物该项目的主要目标是进一步推进。优化用于绘制和量化脑小血管的采集协议和分析管道使用 3T 黑血和 ASL MRI，系统地评估小血管的指标在 200 名多种族纵向队列中，将形态/密度和灌注作为 VCID 的成像生物标志物特别是，我们的研究将招募 50 名亚洲人。属于美国人口增长最快但在 ADRD 中代表性严重不足的美国人该项目预计将产生一套强大的综合成像工具。表征脑小血管的形态和功能，并填补重要空白 ADRD 研究中亚裔美国人的健康差异。