An acquisition and analysis pipeline for integrating MRI and neuropathology in TBI-related dementia and VCID

用于将 MRI 和神经病理学整合到 TBI 相关痴呆和 VCID 中的采集和分析流程

• 批准号: 10810913
• 负责人: Bruce Fischl
• 金额: $ 146.69万
• 依托单位: MASSACHUSETTS GENERAL HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-22 至 2028-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10810913
• 关键词: 3-Dimensional; Address; Aging; Air; Algorithm Design; Algorithmic Software; Algorithms; Alzheimer' s Disease; Anatomy; Architecture; Atlases; Automobile Driving; Autopsy; Back; Back Injuries; Biological Markers; Blood - brain barrier anatomy; Blood Vessels; Brain; Brain Injuries; Brain Mapping; Brain Stem; Cerebellum; Cerebral hemisphere; Cerebrovascular Disorders; Clinical; Cognitive; Collaborations; Darkness; Data; Deposition; Detection; Development; Diagnosis; Diffusion; Diffusion Magnetic Resonance Imaging; Documentation; Dropout; Environment; Functional disorder; Goals; Health; Hemorrhage; Histology; Histopathology; Human; Image; Image Analysis; Imaging technology; Infarction; Internships; Iron; Label; Lesion; Link; Liquid substance; Location; Magnetic Resonance Imaging; Manuals; Maps; Medial; Memory; Microscope; Microvascular Dysfunction; Morphologic artifacts; Myelin; Nerve Degeneration; Neurobiology; Neurodegenerative Disorders; Neurosciences; Pathologic; Pathology; Positioning Attribute; Process; Property; Protocols documentation; Protons; Research; Research Personnel; Resolution; Sampling; Scanning; Shapes; Signal Transduction; Site; Slice; Specificity; Stains; Stream; System; Techniques; Temperature; Temporal Lobe; Tissue imaging; Tissues; Translations; Traumatic Brain Injury; Traumatic brain injury related dementia; Underrepresented Minority; Underrepresented Populations; Validation; Variant; White Matter Hyperintensity; analysis pipeline; axon injury; biomarker discovery; connectome; data reduction; data streams; ex vivo imaging; flexibility; high resolution imaging; image guided; imaging biomarker; improved; in vivo; in vivo imaging; innovative technologies; magnetic resonance imaging biomarker; millimeter; multimodality; neuron loss; neuropathology; non-invasive imaging; reconstruction; recruit; structural imaging; tool; ultra high resolution; validation studies; vascular cognitive impairment and dementia; white matter; white matter injury

Project Summary The rich multi-contrast capabilities of MRI enable the detection of a broad spectrum of tissue alterations due to cerebrovascular disease, brain injury, and other insults that significantly impact brain and cognitive health. As new noninvasive imaging technologies are developed to explore causal mechanisms of small vessel disease and blood-brain barrier integrity, there is a need for postmortem validation studies to confirm the pathological basis of early imaging biomarkers driving vascular contributions to cognitive impairment and dementia. Our current understanding of the pathophysiology of post-traumatic neurodegeneration and Alzheimer’s disease comes from 2D neuropathology and histology in which slices are cut, stained, and examined under a microscope. While these techniques yield stunning images with beautiful specificity, they lose the 3D architectural context that is critical for understanding how neuropathological changes alter connectivity and mesoscopic anatomy in the living human brain. The overall goal of this project is to build a pipeline of customized MRI acquisitions and software algorithms designed to provide a mechanistic link between neuropathology and ex vivo MRI, and from there to in vivo human brain mapping atlases. Our project will result in a well-maintained, documented, and distributed set of tools and MRI sequences that sites can download and use to map information between neuropathology and MRI. Furthermore, we will have access to precious brain donations from subjects who had high-quality in vivo multi-modal MRI, enabling us to extend the pipeline to map neuropathological findings of cerebrovascular disease and traumatic brain injury back to imaging data acquired in living subjects. By precisely mapping histopathology to ex vivo MRI and to in vivo MRI, we will develop and discover in vivo MRI biomarkers that can currently only be identified ex vivo.

项目概要 随着新的无创成像技术的发展来探索微小的因果机制，MRI 丰富的多重对比功能能够检测由于脑血管疾病、脑损伤和其他严重影响大脑和认知健康的损伤而引起的广泛组织变化。血管疾病和血脑屏障完整性，需要进行死后验证研究来确认早期成像生物标志物驱动血管导致认知障碍和痴呆的病理基础。阿尔茨海默病源自 2D 神经病理学和组织学，其中切片被切割、染色并在显微镜下检查，虽然这些技术产生了具有美丽特异性的令人惊叹的图像，但它们失去了对于理解神经病理学变化如何改变连通性和介观至关重要的 3D 结构背景。该项目的总体目标是构建定制 MRI 采集和软件算法的管道，旨在提供神经病理学和离体 MRI 之间以及从那里到体内的机械联系。我们的项目将产生一套维护良好、记录良好且分布式的工具和 MRI 序列，网站可以下载并使用这些序列来绘制神经病理学和 MRI 之间的信息。此外，我们还将获得来自宝贵的大脑捐赠。具有高质量体内多模态 MRI 的受试者，使我们能够通过精确地将组织病理学映射到离体 MRI 来扩展将脑血管疾病和创伤性脑损伤的神经病理学结果映射回活体受试者的成像数据的管道。对于体内 MRI，我们将开发和发现目前只能在体外鉴定的体内 MRI 生物标志物。