Ultra-fast cerebral blood flow imaging for quantifying brain dynamics
用于量化大脑动态的超快速脑血流成像
基本信息
- 批准号:10481324
- 负责人:
- 金额:$ 62.33万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-08-08 至 2024-07-31
- 项目状态:已结题
- 来源:
- 关键词:AgingBloodBrainBrain regionCerebrovascular CirculationCerebrumComplexCoupledDetectionDevelopmentDiseaseFunctional Magnetic Resonance ImagingGoalsHealthHumanImageImaging DeviceIndividualLabelLongitudinal StudiesMagnetic Resonance ImagingMeasurementMeasuresMetabolismMethodsModelingNeurosciencesNeurosciences ResearchNoiseOxygenPatternPerformancePhysiologic pulsePhysiologicalRelaxationRestSignal TransductionSiteTimeUnited States National Institutes of HealthWorkarterial spin labelingbaseblood flow measurementblood oxygen level dependentbrain parenchymabrain tissuecerebral blood volumeconnectomedesignhemodynamicsimaging modalityimprovedmetabolic ratenovelquantitative imagingrelating to nervous systemresponsetemporal measurement
项目摘要
Abstract/Project Summary
Blood oxygenation level dependent (BOLD) fMRI is widely used in neuroscience studies. Technical
advancement in the recently years has enabled BOLD signals to be acquired at sub-second temporal
resolution, opening a new window for examining functional dynamics of the human brain, e.g. resting-
state fMRI. The BOLD signal originates from the mismatch between cerebral blood flow (CBF) and
metabolism changes, and is complex; it serves as an indirect measure of neural activities. A direct
observation of CBF changes can provide information that is more closely coupled to neural activities.
Arterial spin labeling (ASL) fMRI measures CBF changes noninvasively and quantitatively, therefore
may provide valuable dynamic information that is not readily measured with BOLD alone. Currently
the existing ASL fMRI methods are limited by low temporal resolution and signal-to-noise ratio (SNR),
mainly due to acquisition delays required for the labeled blood to reach the brain tissue. Velocity-
selective (VS) ASL shows promises in reducing the delays, but the existing labeling strategies are not
optimal for imaging CBF at high temporal resolution, such as below 2 s, or do not have sufficient
coverage of the brain. In this proof-of-concept development project, we propose a completely new VS
labeling strategy to overcome the problems of existing labeling methods, aiming for functional CBF
measurements with substantially increased temporal resolution (~ 1.5 s), SNR efficiency and a good
coverage. The ultra-fast and quantitative CBF imaging method developed in this project should help
advance our understanding of brain dynamics under healthy and diseased conditions, and may be an
imaging tool of choice for individual comparison and/or longitudinal studies.
摘要/项目摘要
血氧水平依赖(BOLD)功能磁共振成像广泛应用于神经科学研究。技术
近年来的进步使得能够在亚秒级的时间内获取大胆的信号
分辨率,为研究人脑的功能动力学打开了一个新的窗口,例如休息-
州功能性核磁共振检查。BOLD信号源于脑血流量(CBF)和
新陈代谢的变化是复杂的;它是神经活动的间接衡量标准。一位直接的
观察脑血流量的变化可以提供与神经活动更密切相关的信息。
动脉自旋标记(Asl)功能磁共振成像无创性和定量地测量了脑血流量的变化。
可能会提供有价值的动态信息,而这些信息不容易仅用粗体来衡量。目前
现有的ASL fMRI方法受时间分辨率和信噪比(SNR)低的限制,
主要是由于标记血液到达脑组织所需的采集延迟。速度-
选择性(VS)ASL在减少延迟方面表现出了希望,但现有的标签策略并不是
最适合在高时间分辨率下成像脑血流,如S 2以下,或没有足够的
大脑的覆盖面。在这个概念验证开发项目中,我们提出了一个全新的VS
针对功能性CBF的标记策略,克服现有标记方法存在的问题
测量结果具有较大的时间分辨率(~1.5%S),信噪比效率高,效果良好
覆盖范围。本项目开发的超快速定量脑血流成像方法将有助于
促进我们对健康和疾病条件下的大脑动力学的理解,并可能是一种
个人比较和/或纵向研究的首选成像工具。
项目成果
期刊论文数量(3)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Robust dual-module velocity-selective arterial spin labeling (dm-VSASL) with velocity-selective saturation and inversion.
具有速度选择性饱和度和反转的稳健双模型速度选择性动脉自旋标记(DM-VSASL)。
- DOI:10.1002/mrm.29513
- 发表时间:2023-03
- 期刊:
- 影响因子:3.3
- 作者:Guo, Jia
- 通讯作者:Guo, Jia
Recent Technical Developments in ASL: A Review of the State of the Art.
- DOI:10.1002/mrm.29381
- 发表时间:2022-11
- 期刊:
- 影响因子:3.3
- 作者:Hernandez-Garcia, Luis;Aramendia-Vidaurreta, Veronica;Bolar, Divya S.;Dai, Weiying;Fernandez-Seara, Maria A.;Guo, Jia;Madhuranthakam, Ananth J.;Mutsaerts, Henk;Petr, Jan;Qin, Qin;Schollenberger, Jonas;Suzuki, Yuriko;Taso, Manuel;Thomas, David L.;van Osch, Matthias J. P.;Woods, Joseph;Yan, Lirong;Wang, Ze;Zhao, Li;Zhao, Moss Y.;Okell, Thomas W.
- 通讯作者:Okell, Thomas W.
Optimizing background suppression for dual-module velocity-selective arterial spin labeling: Without using additional background-suppression pulses.
优化双模块速度选择性动脉自旋标记的背景抑制:不使用额外的背景抑制脉冲。
- DOI:10.1002/mrm.29995
- 发表时间:2024
- 期刊:
- 影响因子:3.3
- 作者:Guo,Jia
- 通讯作者:Guo,Jia
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{{ truncateString('Jia Guo', 18)}}的其他基金
Investigating the Effects of APOE Genotype on AD Pathology in a Novel AD Mouse Model
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10301571 - 财政年份:2021
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Investigating the Effects of APOE Genotype on AD Pathology in a Novel AD Mouse Model
在新型 AD 小鼠模型中研究 APOE 基因型对 AD 病理学的影响
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10487591 - 财政年份:2021
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Novel in situ proteomics methods to classify cell types in Alzheimer’s brains
用于对阿尔茨海默氏症大脑细胞类型进行分类的新型原位蛋白质组学方法
- 批准号:
9789340 - 财政年份:2018
- 资助金额:
$ 62.33万 - 项目类别:
Novel in situ proteomics methods to classify cell types in Alzheimer’s brains
用于对阿尔茨海默氏症大脑细胞类型进行分类的新型原位蛋白质组学方法
- 批准号:
10468741 - 财政年份:2018
- 资助金额:
$ 62.33万 - 项目类别:
Novel in situ proteomics methods to classify cell types in Alzheimer’s brains
用于对阿尔茨海默氏症大脑细胞类型进行分类的新型原位蛋白质组学方法
- 批准号:
10002244 - 财政年份:2018
- 资助金额:
$ 62.33万 - 项目类别:
Novel in situ proteomics methods to classify cell types in Alzheimer’s brains
用于对阿尔茨海默氏症大脑细胞类型进行分类的新型原位蛋白质组学方法
- 批准号:
10200840 - 财政年份:2018
- 资助金额:
$ 62.33万 - 项目类别:
Novel in situ proteomics methods to classify cell types in Alzheimer’s brains - Administrative Supplement
对阿尔茨海默病大脑细胞类型进行分类的新原位蛋白质组学方法 - 行政补充
- 批准号:
10577542 - 财政年份:2018
- 资助金额:
$ 62.33万 - 项目类别:
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