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A novel Bayesian approach to accounting for uncertainty in fMRI-derived estimates of cerebral oxygen metabolism fluctuations.一种用于处理功能磁共振成像(fMRI)衍生的脑氧代谢波动估计中不确定性的新型贝叶斯方法。
Neuroimage. 2016 Apr 1;129:198-213. doi: 10.1016/j.neuroimage.2016.01.001. Epub 2016 Jan 11.
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Sources of systematic error in calibrated BOLD based mapping of baseline oxygen extraction fraction.基于校准的 BOLD 血氧提取分数基线映射中的系统误差源。
Neuroimage. 2015 Nov 15;122:105-13. doi: 10.1016/j.neuroimage.2015.07.059. Epub 2015 Aug 5.
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Understanding the dynamic relationship between cerebral blood flow and the BOLD signal: Implications for quantitative functional MRI.理解脑血流量与血氧水平依赖(BOLD)信号之间的动态关系:对定量功能磁共振成像的意义。
Neuroimage. 2015 Aug 1;116:158-67. doi: 10.1016/j.neuroimage.2015.03.080. Epub 2015 Apr 8.
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The physics of functional magnetic resonance imaging (fMRI).功能磁共振成像(fMRI)的物理学。
Rep Prog Phys. 2013 Sep;76(9):096601. doi: 10.1088/0034-4885/76/9/096601. Epub 2013 Sep 4.
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A New Functional MRI Approach for Investigating Modulations of Brain Oxygen Metabolism.一种用于研究脑氧代谢调节的新型功能磁共振成像方法。
PLoS One. 2013 Jun 27;8(6):e68122. doi: 10.1371/journal.pone.0068122. Print 2013.
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An analysis of the use of hyperoxia for measuring venous cerebral blood volume: comparison of the existing method with a new analysis approach.分析高氧分压测量静脉脑血容量的应用:现有方法与新分析方法的比较。
Neuroimage. 2013 May 15;72:33-40. doi: 10.1016/j.neuroimage.2013.01.039. Epub 2013 Jan 28.
7
The BOLD post-stimulus undershoot, one of the most debated issues in fMRI.BOLD 刺激后负波,是 fMRI 中最具争议的问题之一。
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8
A general analysis of calibrated BOLD methodology for measuring CMRO2 responses: comparison of a new approach with existing methods.一种用于测量 CMRO2 反应的校准 BOLD 方法的综合分析:新方法与现有方法的比较。
Neuroimage. 2012 Mar;60(1):279-89. doi: 10.1016/j.neuroimage.2011.11.081. Epub 2011 Dec 6.
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Quantitative functional MRI: concepts, issues and future challenges.定量功能磁共振成像:概念、问题及未来挑战。
Neuroimage. 2012 Aug 15;62(2):1234-40. doi: 10.1016/j.neuroimage.2011.10.046. Epub 2011 Oct 20.
10
A theoretical framework for estimating cerebral oxygen metabolism changes using the calibrated-BOLD method: modeling the effects of blood volume distribution, hematocrit, oxygen extraction fraction, and tissue signal properties on the BOLD signal.使用校准的 BOLD 方法估计脑氧代谢变化的理论框架:模拟血容量分布、血细胞比容、氧摄取分数和组织信号特性对 BOLD 信号的影响。
Neuroimage. 2011 Sep 1;58(1):198-212. doi: 10.1016/j.neuroimage.2011.05.077. Epub 2011 Jun 6.

采用联合常氧/高氧法测量的 BOLD 刺激后衰减期间的脑血容量变化。

Cerebral blood volume changes during the BOLD post-stimulus undershoot measured with a combined normoxia/hyperoxia method.

机构信息

Neurosciences Graduate Program, Medical Scientist Training Program, University of California, San Diego, USA; Center for Functional MRI, University of California, San Diego, USA.

Psychiatry, University of California, San Diego, USA; Center for Human Development, University of California, San Diego, USA.

出版信息

Neuroimage. 2019 Jan 15;185:154-163. doi: 10.1016/j.neuroimage.2018.10.032. Epub 2018 Oct 10.

DOI:10.1016/j.neuroimage.2018.10.032
PMID:30315908
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6292691/
Abstract

Cerebral blood flow (CBF) and blood oxygenation level dependent (BOLD) signal measurements make it possible to estimate steady-state changes in the cerebral metabolic rate of oxygen (CMRO) with a calibrated BOLD method. However, extending this approach to measure the dynamics of CMRO requires an additional assumption: that deoxygenated cerebral blood volume (CBV) follows CBF in a predictable way. A test-case for this assumption is the BOLD post-stimulus undershoot, for which one proposed explanation is a strong uncoupling of flow and blood volume with an elevated level of CBV during the post-stimulus period compared to baseline due to slow blood volume recovery (Balloon Model). A challenge in testing this model is that CBV differs from total blood volume, which can be measured with other techniques. In this study, the basic hypothesis of elevated CBV during the undershoot was tested, based on the idea that the BOLD signal change when a subject switches from breathing a normoxic gas to breathing a hyperoxic gas is proportional to the absolute CBV. In 19 subjects (8F), dual-echo BOLD responses were measured in primary visual cortex during a flickering radial checkerboard stimulus in normoxia, and the identical experiment was repeated in hyperoxia (50% O/balance N). The BOLD signal differences between normoxia and hyperoxia for the pre-stimulus baseline, stimulus, and post-stimulus periods were compared using an equivalent BOLD signal calculated from measured R* changes to eliminate signal drifts. Relative to the pre-stimulus baseline, the average BOLD signal change from normoxia to hyperoxia was negative during the undershoot period (p = 0.0251), consistent with a reduction of CBV and contrary to the prediction of the Balloon Model. Based on these results, the BOLD post-stimulus undershoot does not represent a case of strong uncoupling of CBV and CBF, supporting the extension of current calibrated BOLD methods to estimate the dynamics of CMRO.

摘要

脑血流 (CBF) 和血氧水平依赖 (BOLD) 信号测量使得使用校准的 BOLD 方法来估计脑氧代谢率 (CMRO) 的稳态变化成为可能。然而,将这种方法扩展到测量 CMRO 的动态需要一个额外的假设:去氧脑血容量 (CBV) 以可预测的方式跟随 CBF。这个假设的一个测试案例是 BOLD 刺激后下冲,一种解释是由于血液体积恢复缓慢,在刺激后期间与基线相比,CBV 水平升高,导致血流和血液体积强烈解耦(气球模型)。测试此模型的一个挑战是 CBV 与总血容量不同,总血容量可以用其他技术测量。在这项研究中,基于当受试者从呼吸正常氧气体切换到呼吸高氧气体时,BOLD 信号变化与绝对 CBV 成正比的想法,测试了在刺激后下冲期间 CBV 升高的基本假设。在 19 名受试者(8 名女性)中,在正常氧合条件下,在初级视觉皮层中测量闪烁的放射状棋盘格刺激的双回波 BOLD 反应,并在高氧合条件(50% O/平衡 N)下重复进行相同的实验。使用从测量的 R*变化计算得出的等效 BOLD 信号来消除信号漂移,比较正常氧合和高氧合时刺激前基线、刺激期和刺激后期的 BOLD 信号差异。与刺激前基线相比,从正常氧合到高氧合的平均 BOLD 信号变化在刺激后下冲期间为负(p=0.0251),与 CBV 减少一致,与气球模型的预测相反。基于这些结果,BOLD 刺激后下冲不代表 CBV 和 CBF 强烈解耦的情况,支持将当前校准的 BOLD 方法扩展到估计 CMRO 的动态。