CRCNS:US French Coll:Computational Imaging of the Aging Cerebral Microvasculature

CRCNS：美国法国大学：衰老脑微脉管系统的计算成像

• 批准号: 8899529
• 负责人: Bradley P Sutton
• 金额: $ 12.92万
• 依托单位: UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-01 至 2017-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8899529
• 关键词: Adult; Aerobic Exercise; Age; Aging; Animal Model; Animals; Appearance; Arteries; Atlases; Bioenergetics; Blood; Blood Vessels; Blood capillaries; Blood flow; Brain; Brain region; Caliber; Cardiovascular system; Cerebrovascular Circulation; Cerebrum; Characteristics; Chemicals; Code; Complex; Computer Simulation; Contrast Media; Coupled; Data; Diffusion Magnetic Resonance Imaging; Disease; Education; Elderly; Europe; Evolution; Excision; Fibrosis; France; Goals; High Performance Computing; Histology; Human; Image; Individual; Intervention; Knowledge; Lead; Link; Liquid substance; Literature; Magnetic Resonance Imaging; Magnetism; Measures; Mechanics; Metabolic; Methods; Microcirculation; Microcirculatory Bed; Modeling; Modification; Monitor; Motion; Motivation; Neuroglia; Neurons; Nutrient; Outcome; Pathway interactions; Patients; Physics; Physiology; Play; Population; Principal Investigator; Property; Protocols documentation; Rattus; Research; Research Subjects; Resolution; Risk; Role; Scheme; Signal Transduction; Stress; Structure; Techniques; Tissue Model; Tissues; Translating; Trees; Validation; Variant; age related; aging brain; aging population; animal imaging; arteriole; base; brain tissue; capillary; cognitive performance; density; gray matter; healthy aging; hemodynamics; human data; image processing; in vivo; large scale simulation; neurophysiology; neuropsychological; normal aging; relating to nervous system; research study; simulation; venule; volunteer; wasting; web site; young adult

DESCRIPTION (provided by applicant): The functional exchange of nutrients and wastes between blood and tissue occurs in the micro-vascular vessels, extending from the arterioles through the capillaries and into the venules. Cortical micro-vascular networks can be described by topological characteristics, such as: vascular density, orientation of the micro-vessels in coherent pathways, branching, and tortuosity. Tortuosity is coiling and looping of micro-vessels upon shrinking of the cerebral tissue and occurs during healthy aging and in pathological conditions. This change in micro-vascular topology has important implications on the delivery of nutrients and removal of wastes from neurons and glial cells in the cortex. The main objective of the proposed USA-France collaborative effort is to develop a computational imaging approach to quantify the microstructure of cerebral vasculature and predict its evolution in aging subjects. Objectives and Methods: The research team has developed several MRI methods that target different characteristics of micro-vascular flow in the brain, including using diffusion-weighted imaging schemes with the intravoxel incoherent motion (IVIM) technique and the use of localized magnetic tagging of blood with the Flow ENhancement of Signal Intensity (FENSI) method. These techniques provide diverse information and tunable sensitivity to investigate micro-vascular flow. Combined with a computer simulation of vascular trees, the structural characteristics of the microvasculature can be extracted using these measures. An animal model of aging will be investigated with histology to determine vascular topology in different regions of the brain and to determine age-related topological changes, especially increasing tortuosity. This information will be used to perform a large-scale simulation of micro-vascular flow to characterize the relationship between micro-vascular topological features and MRI signals. An animal MRI experiment will be conducted with subsequent histological examination to confirm the vascular topological characterization provided non-invasively by MRI. The animal age-related topological features will then be used to predict human age-related vascular changes and a large-scale simulation of human vascular networks and MRI acquisitions will be performed. MRI acquisitions on young and old adult subjects will characterize subject-specific vascular topology and anatomically-specific vascular changes in human cortex, non-invasively. Intellectual Merit: Prior studies of the topology of particular brain regions have been performed via invasive methods on post-mortem tissues and result in discussions of average brain changes across age, not specific to a particular individual. The proposed MRI methods will allow the non-invasive probing of the micro-vascular topology in the human gray matter. This is possible owing to (a) the high spatial resolution afforded by the MRI sequences which can resolve the cortical layer on the spatial scale of vascular organization, and (b) the numerical simulation of the MRI signal on complex micro-vascular networks. The in vivo characterization of micro-vascular topology will provide quantitative descriptions of regional variations in the cortex, which could form the basis of an atlas of micro-vascular topology. In addition it will provide quantitative measures of the disruption of the topology with age in a subject specific and region-specific manner. Broader Impacts: Aging is associated with reductions in cerebral blood flow, reductions in vascular reactivity to compensate for challenges or stimulation, and modifications to the microstructure of capillaries in the brain. Associated with these changes are reductions in cognitive performance. As the population in the US and Europe ages, it is critical to determine how the aging population can maintain long, productive, and independent lives. Our approach will enable non-invasive assessments of microstructural changes in the vasculature to determine causative effects on age-related changes or impacts of cardiovascular interventions, such as aerobic exercise. Computation-enabled imaging of the micro-vascular topology will usher in a continuum of research examining the variation of the metabolic support of brain neurons and glial cells in aging or disease. Integration of Research and Education: Knowledge gained from this project will be disseminated as computer simulations and data relating to micro-vascular flow through the Physiome organization and through web sites associated with other human physiology simulation codes being developed by the research team. This information will be integrated into undergraduate and graduate course offerings by the research team, including: Modeling Human Physiology, Modeling Human Physiology Lab, Cellular Bioenergetics, and other fluid mechanics and mass transport courses.

描述（由申请人提供）：血液和组织之间营养物质和废物的功能性交换发生在微血管中，从小动脉延伸到毛细血管并进入小静脉。皮质微血管网络可以通过拓扑特征来描述，例如：血管密度、微血管在连贯通路中的方向、分支和弯曲度。扭曲是指脑组织收缩时微血管的盘绕和成环，发生在健康衰老和病理条件下。微血管拓扑结构的这种变化对于皮层神经元和神经胶质细胞的营养物质输送和废物清除具有重要影响。拟议的美国-法国合作项目的主要目标是开发一种计算成像方法来量化脑血管的微观结构并预测其在衰老受试者中的演变。 目标和方法：研究小组开发了几种针对大脑微血管流的不同特征的 MRI 方法，包括使用弥散加权成像方案和体素内不相干运动 (IVIM) 技术以及使用血液的局部磁性标记使用信号强度流增强 (FENSI) 方法。这些技术提供了多样化的信息和可调的灵敏度来研究微血管血流。结合血管树的计算机模拟，可以使用这些措施提取微脉管系统的结构特征。将通过组织学研究衰老动物模型，以确定大脑不同区域的血管拓扑结构，并确定与年龄相关的拓扑变化，尤其是增加的弯曲度。该信息将用于对微血管血流进行大规模模拟，以表征微血管拓扑特征与MRI信号之间的关系。将进行动物 MRI 实验和随后的组织学检查，以确认 MRI 无创提供的血管拓扑特征。然后，动物与年龄相关的拓扑特征将用于预测人类与年龄相关的血管变化，并对人类血管网络和 MRI 采集进行大规模模拟。对年轻和老年受试者的 MRI 采集将无创地表征人体皮层中受试者特定的血管拓扑和解剖学上特定的血管变化。智力优点：先前对特定大脑区域的拓扑结构的研究是通过对死后组织的侵入性方法进行的，并导致对随年龄变化的平均大脑变化的讨论，而不是特定于特定个体。所提出的 MRI 方法将允许对人体灰质中的微血管拓扑进行非侵入性探测。这是可能的，因为（a）MRI序列提供的高空间分辨率可以在血管组织的空间尺度上解析皮质层，以及（b）复杂微血管网络上MRI信号的数值模拟。微血管拓扑的体内表征将提供皮质区域变化的定量描述，这可以形成微血管拓扑图谱的基础。此外，它将以特定主题和特定区域的方式提供拓扑随年龄的破坏的定量测量。更广泛的影响：衰老与脑血流量减少、补偿挑战或刺激的血管反应性减少以及大脑毛细血管微观结构的改变有关。与这些变化相关的是认知能力的下降。随着美国和欧洲人口老龄化，确定老龄化人口如何维持长寿、富有成效和独立的生活至关重要。我们的方法将能够对脉管系统的微观结构变化进行非侵入性评估，以确定对年龄相关变化的因果影响或心血管干预措施（例如有氧运动）的影响。微血管拓扑的计算成像将引发一系列研究，检查衰老或疾病中大脑神经元和神经胶质细胞的代谢支持的变化。研究和教育的整合：从该项目中获得的知识将作为计算机模拟和与微血管流动相关的数据通过 Physiome 组织以及通过与研究团队正在开发的其他人体生理学模拟代码相关的网站进行传播。研究团队将把这些信息整合到本科生和研究生课程中，包括：人体生理学建模、人体生理学实验室建模、细胞生物能量学以及其他流体力学和质量传输课程。

项目成果

A performance-based measure of emotion response control: A preliminary MRI study.

基于表现的情绪反应控制测量：初步 MRI 研究。

• DOI: 10.1111/sjop.12705
• 发表时间: 2021
• 期刊: Scandinavian journal of psychology
• 影响因子: 2.1
• 作者: Steinert,StevenW;Daugherty,AnaM;Shankar,Sneha;Schwarb,Hillary;Cerjanic,Alex;Sutton,BradleyP;Arble,EamonnP
• 通讯作者: Arble,EamonnP