Clinically feasible functional MRI providing independent assessments of cerebrovascular stiffness and microcirculation in typical aging and Alzheimer's Disease cohorts
临床上可行的功能性 MRI,可对典型衰老和阿尔茨海默病人群的脑血管僵硬度和微循环进行独立评估
基本信息
- 批准号:10751942
- 负责人:
- 金额:$ 5.27万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-08-14 至 2027-08-13
- 项目状态:未结题
- 来源:
- 关键词:AccelerationAffectAgeAgingAlzheimer&aposs DiseaseAlzheimer&aposs disease careAlzheimer&aposs disease pathologyAlzheimer&aposs disease riskBloodBlood VesselsBrainCardiacCerebrovascular CirculationCerebrovascular systemCerebrumClinicalCodeCognitionComplexDataData SetDementiaDeteriorationDevelopmentDisease ProgressionDrainage procedureFocused UltrasoundFunctional Magnetic Resonance ImagingFunctional disorderFutureGoalsHealthHumanImaging DeviceImpaired cognitionIndianaIndividualInterventionLinkMagnetic Resonance ImagingMapsMeasuresMentorshipMicrocirculationMonitorNeuronsNoiseOutcomePathologyPeripheralPersonsPhysiciansPhysiologic pulsePhysiologyPlayPrognosisPropertyReproducibilityResearchResearch PersonnelRestRoleSamplingScanningScientistSignal TransductionSpeedSystemTechniquesTestingTimeTrainingTravelVascular SystemVenousaging populationarterial spin labelingarterial stiffnesscerebral arterycerebrovascularcerebrovascular healthclinical carecognitive functioncohortconnectomeconnectome datafunctional MRI scanhemodynamicshuman dataimage processingimaging modalityinsightlarge datasetsmultidisciplinarynovelnovel strategiestechnique developmenttoolultrasound
项目摘要
PROJECT SUMMARY/ABSTRACT
Alzheimer’s disease (AD) is the leading cause of dementia worldwide currently affecting over 50 million people.
The pathophysiology of Alzheimer’s dementia is complex and multifactorial, however, decreases in
cerebrovascular function have been linked to disease progression. Despite the role vascular health plays in the
prognosis of AD, the ability to assess intracranial vascular integrity is limited. There is a critical need to assess
vascular properties sensitive to microvascular function and arterial stiffness to understand why and how vascular
health is a substantial risk factor for AD dementia. The right tool will be able to assess multiple cerebrovascular
health metrics and monitor potential interventions targeting the vascular system in the treatment of AD dementia.
This study aims to utilize a conventional resting-state functional MRI (rs-fMRI) scan to assess arterial stiffness
and microvascular health through the development and implementation of specialized image processing
techniques. These metrics will be applied to two large datasets available from the Human Connectome Project
(HCP) – Aging and the Indiana Alzheimer’s Disease Research Center (IADRC). Using the HCP dataset, we will
assess vascular changes in a typically aging sample (aims 1 & 2). With the IADRC dataset, we will assess the
associations of cerebrovascular health with cognitive function across a spectrum of cognitive impairment (aim
3). The central hypothesis is that measures sensitive to arterial stiffness and microvascular function
derived from specialized rs-fMRI image processing will significantly correlate with typical aging and
cognitive impairment in the spectrum of AD pathology. The central hypothesis will be tested with the
following aims:
Aim 1: Assess the correlation of cerebral artery stiffness and age using rs-fMRI-derived arterial pulse
propagation mapping.
Aim 2: Evaluate rs-fMRI-derived cerebral transit time (CTT) in the HCP-aging dataset.
Aim 3: Determine whether rs-fMRI-derived arterial stiffness and CTT in the AD-spectrum are significantly
associated with cognitive impairment.
The measures of arterial stiffness and microvascular function will provide greater insight into the influence of
vascular health on AD dementia and may be used in the future to monitor intervention status. The entire pipeline
with detailed demo code developed in this project will be openly shared to allow other researchers to extract
these vascular metrics from standard rs-fMRI data and study other pathologies with known cerebrovascular
involvement, resulting in a high clinical impact.
项目摘要/摘要
阿尔茨海默氏病(AD)是全球痴呆症目前影响超过5000万人的主要原因。
然而
脑血管功能与疾病进展有关。尽管有角色血管健康在
AD的预后,评估颅内血管完整性的能力是有限的。迫切需要评估
对微血管功能和动脉刚度敏感的血管特性,以了解为什么以及如何血管
健康是AD痴呆症的重大危险因素。正确的工具将能够评估多个脑血管
健康指标和监测针对血管系统AD痴呆症的潜在干预措施。
这项研究旨在利用常规的静止状态功能MRI(RS-FMRI)扫描来评估动脉刚度
通过开发和实施专业图像处理和实施微血管健康
技术。这些指标将应用于Human Connectome项目可用的两个大型数据集
(HCP) - 衰老和印第安纳州阿尔茨海默氏病研究中心(IADRC)。使用HCP数据集,我们将
评估典型衰老样品中的血管变化(目标1和2)。使用IADRC数据集,我们将评估
脑血管健康与认知障碍的认知功能的关联(AIM
3)。中心假设是测量对动脉刚度和微血管功能敏感的
源自专门的RS-FMRI图像处理将与典型的衰老和
AD病理谱系中的认知障碍。中心假设将通过
以下目的:
AIM 1:使用RS-FMRI衍生的动脉脉冲评估脑动脉刚度和年龄的相关性
传播映射。
AIM 2:评估HCP-GIGET数据集中的RS-FMRI衍生的大脑转运时间(CTT)。
AIM 3:确定AD光谱中的RS-FMRI衍生动脉刚度和CTT是否显着
与认知障碍有关。
动脉刚度和微血管功能的度量将为您提供更深入的了解
AD痴呆症的血管健康,将来可能会用于监测干预状态。整个管道
通过在本项目中开发的详细演示代码,将公开共享,以允许其他研究人员提取
这些血管指标来自标准RS-FMRI数据,并研究了其他已知脑血管的病理
涉及,导致很高的临床影响。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
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