The Role of Cerebrovascular-Reactivity Mapping in Functional MRI: Calibrated fMRI and Resting-State fMRI.
The Role of Cerebrovascular-Reactivity Mapping in Functional MRI: Calibrated fMRI and Resting-State fMRI.
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DOI：
10.3389/fphys.2021.657362
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发表时间：
2021
影响因子：
4
通讯作者：
Gauthier CJ
中科院分区：
文献类型：
--
作者：
Chen JJ;Gauthier CJ
任务和静息状态功能MRI （fMRI）主要基于与基于MRI的脑血管反应性（CVR）制图最常依赖的相同的血氧水平依赖性（BOLD）现象。这项技术在神经科学和临床研究以及治疗计划中发挥着越来越重要的作用。CVR的估计在功能磁共振成像中具有独特的应用和关联。特别是，CVR估计是校准BOLD fMRI技术家族的一部分，其目的是允许使用BOLD和脑血流量（CBF）测量的组合来绘制脑氧化代谢（cro2）。此外，CVR最近被证明是计算静息状态功能连通性时血管偏差的主要来源，就像它被用来中和校准fMRI中的血管贡献一样。此外，由于使用气体挑战估计CVR存在明显的挑战，一个快速发展的研究领域是在没有任何形式挑战的情况下估计CVR，包括为此目的使用静息状态fMRI。本文综述了CVR与fMRI相互作用的所有方面以及CVR在校准fMRI中的作用，概述了基于高碳酸血症的CVR和校准fMRI的生理偏差和假设，并展望了无创CVR测量的未来。
Task and resting-state functional MRI (fMRI) is primarily based on the same blood-oxygenation level-dependent (BOLD) phenomenon that MRI-based cerebrovascular reactivity (CVR) mapping has most commonly relied upon. This technique is finding an ever-increasing role in neuroscience and clinical research as well as treatment planning. The estimation of CVR has unique applications in and associations with fMRI. In particular, CVR estimation is part of a family of techniques called calibrated BOLD fMRI, the purpose of which is to allow the mapping of cerebral oxidative metabolism (CMRO2) using a combination of BOLD and cerebral-blood flow (CBF) measurements. Moreover, CVR has recently been shown to be a major source of vascular bias in computing resting-state functional connectivity, in much the same way that it is used to neutralize the vascular contribution in calibrated fMRI. Furthermore, due to the obvious challenges in estimating CVR using gas challenges, a rapidly growing field of study is the estimation of CVR without any form of challenge, including the use of resting-state fMRI for that purpose. This review addresses all of these aspects in which CVR interacts with fMRI and the role of CVR in calibrated fMRI, provides an overview of the physiological biases and assumptions underlying hypercapnia-based CVR and calibrated fMRI, and provides a view into the future of non-invasive CVR measurement.
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