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Collaborative Research: Multiscale Mechanical Models for the Aging Brain

合作研究：衰老大脑的多尺度力学模型

基本信息

批准号：
1436743
负责人：
Assimina Pelegri
金额：
$ 25.45万
依托单位：
Rutgers University New Brunswick
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2014
资助国家：
美国
起止时间：
2014-09-01 至 2018-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1436743&HistoricalAwards=false
关键词：
Collaborative Research Multiscale Mechanical Models

项目摘要

As 81 million 'baby boomers' living in the US enter old age, the fact that 50 percent of adults over the age of 85 are afflicted with Alzheimer's disease presents a looming crisis. Early diagnosis or the hope of developing an effective neuroprotective or regenerative intervention requires a deeper understanding of how the healthy human brain ages normally. A novel noninvasive elastography method based on magnetic resonance imaging has allowed high-resolution measurements of local mechanical properties of the living brain, which reveal that brain stiffness decreases with age. This award focuses on the development of fundamental knowledge to connect brain tissue microstructure with local mechanical properties measured noninvasively. Employing imaging technology available in the local clinic, mechanical maps of the brain can then be generated and used as a baseline to determine the stage of age-related brain degeneration, or to monitor the efficacy of an intervention. This award will enhance the outreach efforts of both principal investigators towards continuing to attract engineers from traditionally underrepresented groups interested in the intersection of computational mechanics, soft-tissue mechanics, image processing, and neuroscience. In addition to the enrichment of the mechanics-related curriculum and training of future engineers in research aligned with the national healthy brain initiatives, this project is expected to directly impact the broader medical communities at the two institutions. Two important technical advances have provided insight into the development and degeneration of brain neurons: cell-level mechanobiology and high-resolution in vivo magnetic resonance elastography. The challenge is to unify these two levels of analysis in order to obtain a rigorous biomechanical view of the white matter of the human brain during normal aging. This award supports the development of hierarchical multiscale models of white matter micromechanics based on medical imaging and published histological data. These models will enable the interpretation of the magnetic resonance elastography data in terms of certain parameters in axon microstructure. Local viscoelastic properties will be spatially correlated with architectural metrics of the axonal network, so that the biomechanical properties of the brain can be investigated across subjects and age groups. The main outcome of this multiscale modeling effort is to relate the structural integrity of the axons to locally averaged functional properties quantified by magnetic resonance imaging. This will help explain how the age-related changes in the brain white matter are related to alterations in connectivity and mechanical coupling between neurons and glial cells as they age.

随着生活在美国的8100万“婴儿潮一代”进入老年，85岁以上的成年人中有50%患有阿尔茨海默病，这一事实构成了一个迫在眉睫的危机。早期诊断或开发有效的神经保护或再生干预的希望需要更深入地了解健康的人类大脑如何正常老化。基于磁共振成像的一种新的非侵入性弹性成像方法允许高分辨率测量活脑的局部机械特性，这表明脑硬度随年龄的增长而降低。该奖项侧重于基础知识的发展，将脑组织微观结构与非侵入性测量的局部机械性能联系起来。利用当地诊所提供的成像技术，可以生成大脑的机械图，并将其用作基线，以确定与年龄相关的大脑退化的阶段，或监测干预的有效性。该奖项将加强两个主要研究者的外联工作，继续吸引来自传统上代表性不足的群体的工程师，他们对计算力学、软组织力学、图像处理和神经科学的交叉感兴趣。除了丰富与机械相关的课程和培训未来的工程师进行与国家健康大脑计划相一致的研究外，该项目预计将直接影响这两个机构更广泛的医学界。两个重要的技术进步提供了深入了解脑神经元的发育和退化：细胞水平的机械生物学和高分辨率的体内磁共振弹性成像。挑战是统一这两个层次的分析，以获得一个严格的生物力学观点的白色物质的人类大脑在正常老化。该奖项支持基于医学成像和已发表的组织学数据开发白色物质微观力学的分层多尺度模型。这些模型将能够解释的磁共振弹性成像数据在轴突微观结构的某些参数。局部粘弹性将在空间上与轴突网络的结构度量相关，以便可以跨受试者和年龄组研究大脑的生物力学特性。这种多尺度建模工作的主要成果是将轴突的结构完整性与磁共振成像量化的局部平均功能特性联系起来。这将有助于解释大脑白色物质中与年龄相关的变化如何与神经元和神经胶质细胞之间的连接和机械耦合的变化相关。