Biomechanical Framework to Integrate Structural MRI Information in White Matter

整合白质结构 MRI 信息的生物力学框架

• 批准号: 10043013
• 负责人: Jeongchul Kim
• 金额: $ 15.5万
• 依托单位: WAKE FOREST UNIVERSITY HEALTH SCIENCES
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-08-01 至 2023-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10043013
• 关键词: 3-Dimensional; Acceleration; Address; Adult; Age; Aging; Algorithmic Analysis; Algorithms; Alzheimer' s Disease; Axon; Biomechanics; Brain; Brain Concussion; Brain Diseases; Brain Injuries; Brain region; Caring; Clinical; Cognition; Communication; Complex; Computer software; Data Set; Detection; Development; Diagnosis; Diffusion; Diffusion Magnetic Resonance Imaging; Disease; Disease Progression; Elements; Exhibits; Fiber; Funding; Goals; Grant; Image; Impaired cognition; Investigation; Longevity; Magnetic Resonance Imaging; Manufactured football; Measurement; Measures; Medical; Methods; Modeling; Monitor; National Institute of Neurological Disorders and Stroke; Nerve Fibers; Neurobehavioral Manifestations; Non-Invasive Cancer Detection; Pathway interactions; Pattern; Play; Process; Property; Research; Role; Rotation; Safety; Seasons; Shapes; Source Code; Sports; Statistical Models; Structure; Symptoms; System; Telemetry; Testing; Time; Traumatic Brain Injury; White Matter Disease; Youth; base; brain abnormalities; brain tissue; clinically significant; cognitive change; cohort; density; experience; head impact; high school; imaging approach; imaging biomarker; imaging modality; imaging study; improved; morphometry; multimodality; nervous system disorder; neuroimaging; neuroimaging marker; novel; novel strategies; physical property; prevent; prognostic tool; sharing platform; software development; tool; water diffusion; white matter; white matter change; white matter damage

PROJECT SUMMARY Sensitive and non-invasive detection of changes in brain structure or function provides more means to diagnose, monitor, prevent or delay the progression of diseases. Recently, longitudinal magnetic resonance imaging (MRI) has been applied to large neuroimaging studies of Alzheimer’s disease (AD) and traumatic brain injury (TBI) to track brain changes over time. Diffusion-weighted MRI (dMRI) is commonly used to measure the physical properties of white matter (WM) of the brain. WM is mainly made up of nerve fibers that act as a relay and coordinate communication between different brain regions, and exhibits changes in shape and diffusion of water molecules across the life span. However, conventional dMRI analysis methods have failed to properly consider shape change in brain tissue, limiting the detection of small WM changes and investigation of its clinical significance. To address limitations of current MRI analysis approaches, in this project, we will model complex WM damage patterns on a biomechanical framework using multi-modality MRI acquired from ongoing longitudinal TBI cohorts of youth football players (funded by current NINDS R01s but not processed using the proposed methods). Our scientific hypotheses are that (a) participation in a season of contact sports is associated with WM changes and the degree of change is correlated with accumulated head impact or clinical symptoms and cognitive change, and that (b) the WM changes along the fiber pathway estimated from the proposed biomechanical approach will improve statistical power in detecting abnormal WM changes compared to conventional diffusion MRI measures. To test the hypotheses, we propose two Specific Aims: (1) To model white matter damages along the pathway of fibers in youth football players: We will identify abnormal brain development patterns in youth football players who experienced repetitive subconcussive head impacts during a season of play compared to normal non- contact sports players. New MRI measures derived from the proposed method will be correlated with head impact exposure. (2) To validate the clinical utility of the new white matter modeling approach: Correlation analyses between MRI measures and post-traumatic cognitive/symptom measures will be conducted to determine whether these new MRI measures demonstrate higher statistical power in detecting abnormal WM changes. Through the Specific Aims proposed above, we will explain the underlying brain injury mechanisms of repetitive head impacts even in the absence of diagnosed concussion. This novel approach promises to develop valuable new tools with the potential to broadly impact the medical care of contact sports players and early AD adults by addressing more natural and realistic changes of WM on a biomechanical framework. All source codes related to the proposed analyses will be well documented and available at software sharing platforms for users to apply the method to various MRI studies on white matter diseases.

项目总结 对大脑结构或功能变化的灵敏和非侵入性检测提供了更多的诊断手段， 监测、预防或延缓疾病的发展。最近，纵向磁共振成像(MRI) 已被应用于阿尔茨海默病(AD)和创伤性脑损伤(TBI)的大型神经成像研究 跟踪大脑随时间的变化。磁共振扩散加权成像(DMRI)是常用的物理测量方法 脑白质(WM)的特性。白质主要由神经纤维组成，这些神经纤维起着中继器的作用， 协调不同脑区之间的交流，并显示出水的形状和扩散的变化 整个生命周期中的分子。然而，传统的dmri分析方法没有正确地考虑到 脑组织形态改变限制WM微小改变的检测及其临床研究 意义。为了解决当前MRI分析方法的局限性，在本项目中，我们将对复杂的 使用从进行中获得的多模式磁共振成像在生物力学框架上的WM损伤模式 青少年足球运动员的纵向TBI队列(由当前的NINDS R01资助，但不使用 建议的方法)。 我们的科学假设是：(A)参加接触性运动的赛季与WM的变化有关 改变的程度与累积的头部撞击或临床症状和认知变化相关， 以及(B)根据所提出的生物力学方法估计的WM沿纤维路径的变化将 与传统的磁共振弥散测量方法相比，提高了统计能力，以检测异常的WM改变。 为了验证假设，我们提出了两个具体的目标：(1)模拟脑白质损伤的通路 青少年足球运动员的纤维：我们将识别青少年足球运动员的异常大脑发育模式 在一个赛季的比赛中，与正常的非脑震荡相比，谁经历了反复的亚脑震荡头部撞击 联系体育运动员。根据建议的方法得出的新的核磁共振测量将与头部撞击相关 曝光。(2)验证新的脑白质模型方法的临床实用性：相关分析 在核磁共振测量和创伤后认知/症状测量之间将进行 这些新的MRI指标在检测WM异常变化方面是否显示出更高的统计能力。 通过以上提出的具体目标，我们将解释反复脑损伤的潜在机制。 即使在没有确诊脑震荡的情况下，头部也会撞击。这种新的方法有望开发出有价值的 新工具有可能通过以下方式广泛影响接触性运动运动员和早期AD成年人的医疗保健 在生物力学框架上解决更自然和更现实的西医变化。所有相关源代码 建议的分析将被很好地记录下来，并可在软件共享平台上供用户应用 该方法适用于各种脑白质疾病的MRI研究。