Quantitative characterization of human subcortical hemodynamic response

人体皮层下血流动力学反应的定量表征

• 批准号: 9243488
• 负责人: JungHwan Kim
• 金额: $ 14.43万
• 依托单位: BAYLOR COLLEGE OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9243488
• 关键词: Address; Alzheimer' s Disease; Arteries; Biomechanics; Blood Vessels; Blood capillaries; Blood flow; Brain; Brain region; Cell Nucleus; Cerebral cortex; Cerebrovascular Circulation; Cerebrovascular Disorders; Cerebrovascular Physiology; Characteristics; Clinical; Clinical Research; Cognition; Computer Simulation; Convection; Coupling; Data; Databases; Diagnostic; Diffusion; Diffusion Magnetic Resonance Imaging; Experimental Models; Functional Magnetic Resonance Imaging; Functional disorder; Goals; Health; Homeostasis; Human; Huntington Disease; Image; Knowledge; Magnetic Resonance Imaging; Measurement; Measures; Metabolism; Methods; Modeling; Modernization; Motion; Neurodegenerative Disorders; Neurosciences; Noise; Nuclear; Oxygen; Parkinson Disease; Pathology; Patients; Perfusion; Physiological; Play; Population; Protons; Research; Resolution; Role; Sampling; Scheme; Signal Transduction; Spin Labels; Stroke; Structural defect; Structure; Subarachnoid Hemorrhage; Testing; Time; Traumatic Brain Injury; Travel; Vasodilation; Veins; base; biophysical model; blood oxygen level dependent; capillary; cerebrovascular; cerebrovascular health; clinical diagnostics; density; deoxyhemoglobin; experimental study; gray matter; hemodynamics; imaging modality; imaging study; improved; interest; mild cognitive impairment; mild traumatic brain injury; multisensory; nervous system disorder; network models; neurovascular; novel; oxygen transport; patient population; perfusion imaging; relating to nervous system; research study; response; spatiotemporal; temporal measurement; tool; white matter

Project summary Subcortical human brain regions play critical roles in functions from homeostasis to cognition. However, there has been a dearth of research on full assessments of human subcortical health. Quantitative characterization of subcortical responses has a great potential to unveil the mechanisms of various neurodegenerative disorders including Alzheimer's, Huntington's, and Parkinson's Disease and cerebrovascular pathology such as traumatic brain injury (TBI). Here, we use functional magnetic resonance imaging (fMRI) to measure the blood oxygen level dependent (BOLD) response in subcortical regions. We will create simple multisensory integration tasks that produce BOLD response evoked by this brief brain activation – so called BOLD hemodynamic response function (HRF). We will also use various MRI methods such as proton-density weighted imaging (PDWI), and diffusion tensor imaging (DTI) for structural assessments. BOLD HRF combined with PDWI and DTI will enable remarkably complete assessments of subcortical neurovascular health, including quantification of nuclear volumes, white matter connectivity, and correlations among these metrics. In the proposed research study, we will obtain health control database for this novel metrics. We will develop a novel biomechanical transport model to predict underlying cerebral blood flow and oxygen metabolism corresponding to BOLD HRFs. We will also develop a simple but effective linear flow model based on an electrical circuit analogy to show mechanisms of blood flow response driven by local neural activity. This flow network model will be validated with flow measurement from arterial spin labelling perfusion MR imaging. The proposed model will address a critical gap in our knowledge of subcortical cerebrovascular physiology. We will test our measurement and modeling schemes for characterization of subcortical HRFs in the mild traumatic brain injury (TBI) population. This will demonstrate the feasibility of our metrics as clinical diagnostic tools. The proposed experimental and modeling schemes can be applied more broadly to other brain regions, such as cerebral cortex. It will be a very effective and reliable diagnostic tools, especially for neurological disorders and cerebrovascular pathology that cause functional deficits without structural abnormality, such as subarachnoid hemorrhage, early stage Alzheimer's disease, and mild cognitive impairment.

项目摘要 皮质下人脑区域在从体内平衡到认知的功能中起关键作用。但是，那里 一直是对人皮下健康的全面评估的研究。定量表征 皮层下反应的巨大潜力可以揭示各种神经退行性的机制 包括阿尔茨海默氏症，亨廷顿和帕金森氏病和脑血管病理等疾病 作为脑外伤（TBI）。 在这里，我们使用功能磁共振成像（fMRI）来测量血氧水平依赖性 （粗体）皮层下区域的反应。我们将创建简单的多感官集成任务来产生 这种简短的大脑激活引起了大胆的反应 - 所谓的大胆血液动力学反应函数（HRF）。 我们还将使用各种MRI方法，例如质子密度加权成像（PDWI）和扩散张量 成像（DTI）用于结构评估。大胆的HRF与PDWI和DTI相结合将显着启用 对皮质下神经血管健康的完整评估，包括核容量的定量，白色 这些指标之间的物质连通性和相关性。在拟议的研究中，我们将获得 这个新型指标的健康控制数据库。 我们将开发一种新型的生物力学传输模型，以预测潜在的脑血流和 氧代谢对应于大胆的HRF。我们还将开发简单但有效的线性流 基于电路类比的模型，以显示由局部中性驱动的血流反应机制 活动。该流网络模型将通过动脉自旋标记灌注的流量测量来验证 先生成像。提出的模型将解决我们对皮层脑血管的了解的关键差距 生理。 我们将测试我们的测量和建模方案，以表征中皮层HRF 创伤性脑损伤（TBI）人群。这将证明我们的指标作为临床诊断的可行性 工具。提出的实验和建模方案可以更广泛地应用于其他大脑区域， 例如脑皮质。这将是一种非常有效和可靠的诊断工具，尤其是对于神经系统 疾病和脑血管病理学会导致功能性缺陷而没有结构异常，例如 亚蛛网膜下腔出血，早期阿尔茨海默氏病和轻度认知障碍。