Diffusion MRI Model Parameter Estimation to Study Brain Microstructure as it Relates to Cognitive Status in Mild Traumatic Brain Injury

扩散 MRI 模型参数估计研究脑微结构，因为它与轻度创伤性脑损伤的认知状态有关

• 批准号: 10677796
• 负责人: Sohae Chung
• 金额: $ 65.35万
• 依托单位: NEW YORK UNIVERSITY SCHOOL OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-08-15 至 2025-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10677796
• 关键词: Affect; Animals; Anisotropy; Attention; Axon; Behavioral; Benchmarking; Biophysics; Brain; Brain Injuries; Cells; Clinical; Cognition; Cognitive; Complex; Confusion; Corpus Callosum; Diffusion; Diffusion Magnetic Resonance Imaging; Disease; Elements; Evolution; Fiber; Goals; Human; Image; Impaired cognition; Incidence; Injury; Investigation; Knowledge; Link; Literature; Magnetic Resonance Imaging; Measures; Mediating; Methods; Modeling; Neurobehavioral Manifestations; Outcome; Parameter Estimation; Pathology; Patient Triage; Patient-Focused Outcomes; Patients; Population; Process; Protocols documentation; Public Health; Recovery; Risk; Scheme; Short-Term Memory; Standard Model; Stretching; Structure; Symptoms; TBI Patients; Techniques; Testing; Therapeutic; Tissues; Translating; Water; Work; axon injury; behavioral health; biomechanical model; biophysical properties; clinical heterogeneity; clinically significant; cognitive function; cognitive recovery; cognitive rehabilitation; disabling symptom; experience; head impact; human model; imaging biomarker; in vivo; innovation; mild traumatic brain injury; novel; oculomotor; outcome prediction; persistent symptom; processing speed; rate of change; white matter; white matter injury

PROJECT SUMMARY Mild Traumatic Brain Injury (MTBI) is a major public health problem with U.S. annual incidence of over 2 million. We propose to use an innovative paradigm in bicompartment diffusion MRI model parameter estimation to study the dynamic longitudinal microstructural changes that occur after MTBI and to investigate the link between white matter injury, cortical volume loss and cognitive outcome. Our preliminary findings suggest diffusion-based biophysical parameters of axon integrity including intra-axonal diffusivity (Da) and axonal water fraction (f) can detect microstructure changes in MTBI and provide more biophysically relevant information compared with traditional, empirical measures of Diffusion Tensor Imaging (DTI). We will employ a rotationally invariant formalism and parameter estimation scheme for the so-called “Standard Model” of diffusion in white matter which unifies previous attempts of multi-compartment white matter modeling over the past decade, now a widely accepted benchmark for multi-compartment modeling of diffusion in the brain. We will further incorporate spherical tensor encoding (STE) and spherical kurtosis (SK) to increase the precision in axon-specific microstructure parameters central to this project and use an optimized and clinically feasible protocol for this translational project. The proposed work is expected to bridge the gap between macroscopic and microstructural alterations relevant to cognitive status after injury, revealing the dynamic structural changes occurring after injury and pointing to imaging biomarkers most relevant to cognitive outcome. By concentrating on cognitive outcome, we will address one of the main barriers to predicting outcome in MTBI which is heterogeneity of clinical status. The results of this work are expected to be significant from both scientific and clinical perspectives by 1) advancing basic knowledge of injury in an impactful way, 2) discovering biophysically meaningful imaging biomarkers relevant to cognitive status in MTBI, and 3) mechanistically linking microstructural and macrostructural brain alterations, in three respective specific aims. This will provide a means toward quantitative tracking of injury and recovery specific to the cognitive domain, and tracking of efficacy of targeted cognitive therapeutic strategies such as cognitive rehabilitation and integrated behavioral health treatment in patients with MTBI.

项目摘要 轻度创伤性脑损伤（MTBI）是美国年度发病率超过2的主要公共卫生问题 百万。我们建议在双班构扩散MRI模型参数中使用创新范式 研究MTBI后发生的动态纵向微结构变化的估计并研究 白质损伤，皮质体积损失与认知结果之间的联系。我们的初步发现 建议基于扩散的轴突完整性的生物物理参数，包括轴内难度（DA）和 轴突水分（F）可以检测MTBI的微观结构变化，并提供更相关的相关性 与传统的扩散张量成像（DTI）的经验测量相比。我们将采用一个 所谓的“标准模型”的旋转形式和参数估计方案 白质的扩散统一了以前的多室白质建模的尝试 过去的十年，现在是大脑扩散多室建模的广泛接受的基准。我们 将进一步结合球形张量编码（Ste）和球形峰度（SK），以提高精度 该项目中心的轴突特异性微观结构参数，并使用优化和临床上的可行性 该翻译项目的协议。预计拟议的工作将弥合宏观之间的差距 以及与受伤后认知状况相关的微观结构改变，揭示了动态结构 受伤后发生的变化并指出与认知结果最相关的生物标志物的成像。经过 专注于认知结果，我们将解决预测MTBI结果的主要障碍之一 这是临床状况的异质性。这项工作的结果有望从两者中都显着 科学和临床观点1）以有影响力的方式促进受伤的基本知识，2） 发现与MTBI认知状况相关的生物物理具有有意义的成像生物标志物，3） 在三个特定目的中，机械机械地联系了微结构和宏观结构的大脑改变。 这将提供一种用于定量跟踪伤害和特定认知领域恢复的方法， 以及跟踪有效的有针对性的认知治疗策略，例如认知康复和 MTBI患者的综合行为健康治疗。