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Neuroimage. 2011 Sep 1;58(1):198-212. doi: 10.1016/j.neuroimage.2011.05.077. Epub 2011 Jun 6.
2
Calibration and validation of TRUST MRI for the estimation of cerebral blood oxygenation.TRUST MRI 用于脑氧饱和度估计的校准和验证。
Magn Reson Med. 2012 Jan;67(1):42-9. doi: 10.1002/mrm.22970. Epub 2011 May 16.
3
Prospects for quantitative fMRI: investigating the effects of caffeine on baseline oxygen metabolism and the response to a visual stimulus in humans.定量 fMRI 的前景:研究咖啡因对人类基线氧代谢和对视觉刺激反应的影响。
Neuroimage. 2011 Aug 1;57(3):809-16. doi: 10.1016/j.neuroimage.2011.04.064. Epub 2011 May 7.
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J Cereb Blood Flow Metab. 2011 Jul;31(7):1504-12. doi: 10.1038/jcbfm.2011.34. Epub 2011 Apr 20.
5
Evaluation of a quantitative blood oxygenation level-dependent (qBOLD) approach to map local blood oxygen saturation.评估一种定量血氧水平依赖(qBOLD)方法来绘制局部血氧饱和度图。
NMR Biomed. 2011 May;24(4):393-403. doi: 10.1002/nbm.1603. Epub 2010 Oct 19.
6
The influence of carbon dioxide on brain activity and metabolism in conscious humans.二氧化碳对意识清醒的人类大脑活动和代谢的影响。
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7
Improved fMRI calibration: precisely controlled hyperoxic versus hypercapnic stimuli.改进的 fMRI 校准:精确控制的高氧与高碳酸刺激。
Neuroimage. 2011 Jan 15;54(2):1102-11. doi: 10.1016/j.neuroimage.2010.08.070. Epub 2010 Sep 7.
8
BOLD-specific cerebral blood volume and blood flow changes during neuronal activation in humans.在人类神经元激活过程中,BOLD 特异性脑血容量和血流的变化。
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An integrative model for neuronal activity-induced signal changes for gradient and spin echo functional imaging.用于梯度和自旋回波功能成像的神经元活动诱导信号变化的整合模型。
Neuroimage. 2009 Oct 15;48(1):150-65. doi: 10.1016/j.neuroimage.2009.05.051. Epub 2009 May 27.
10
Quantitative fMRI using hyperoxia calibration: reproducibility during a cognitive Stroop task.使用高氧校准的定量功能磁共振成像:认知斯特鲁普任务期间的可重复性。
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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。

A general analysis of calibrated BOLD methodology for measuring CMRO2 responses: comparison of a new approach with existing methods.

机构信息

Center for Functional Magnetic Resonance Imaging, Department of Radiology, University of California San Diego, La Jolla, CA 92093-0677, USA.

出版信息

Neuroimage. 2012 Mar;60(1):279-89. doi: 10.1016/j.neuroimage.2011.11.081. Epub 2011 Dec 6.

DOI:10.1016/j.neuroimage.2011.11.081
PMID:22155329
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3288960/
Abstract

The amplitude of the BOLD response to a stimulus is not only determined by changes in cerebral blood flow (CBF) and oxygen metabolism (CMRO(2)), but also by baseline physiological parameters such as haematocrit, oxygen extraction fraction (OEF) and blood volume. The calibrated BOLD approach aims to account for this physiological variation by performing an additional calibration scan. This calibration typically consists of a hypercapnia or hyperoxia respiratory challenge, although we propose that a measurement of the reversible transverse relaxation rate, R(2)', might also be used. A detailed model of the BOLD effect was used to simulate each of the calibration experiments, as well as the activation experiment, whilst varying a number of physiological parameters associated with the baseline state and response to activation. The effectiveness of the different calibration methods was considered by testing whether the BOLD response to activation scaled by the calibration parameter combined with the measured CBF provides sufficient information to reliably distinguish different levels of CMRO(2) response despite underlying physiological variability. In addition the effect of inaccuracies in the underlying assumptions of each technique were tested, e.g. isometabolism during hypercapnia. The three primary findings of the study were: 1) The new calibration method based on R(2)' worked reasonably well, although not as well as the ideal hypercapnia method; 2) The hyperoxia calibration method was significantly worse because baseline haematocrit and OEF must be assumed, and these physiological parameters have a significant effect on the measurements; and 3) the venous blood volume change with activation is an important confounding variable for all of the methods, with the hypercapnia method being the most robust when this is uncertain.

摘要

刺激引起的 BOLD 响应幅度不仅取决于脑血流 (CBF) 和氧代谢 (CMRO(2)) 的变化,还取决于基线生理参数,如血细胞比容、氧提取分数 (OEF) 和血容量。经过校准的 BOLD 方法旨在通过执行额外的校准扫描来解释这种生理变化。这种校准通常由高碳酸血症或高氧呼吸挑战组成,尽管我们提出测量可逆横向弛豫率 R(2)’也可能被使用。详细的 BOLD 效应模型用于模拟每个校准实验以及激活实验,同时改变与基线状态和对激活的反应相关的许多生理参数。通过测试在激活时与校准参数相乘的 BOLD 响应是否提供足够的信息,以可靠地区分不同水平的 CMRO(2)反应,尽管存在潜在的生理变异性,从而考虑了不同校准方法的有效性。此外,还测试了每种技术的基本假设的不准确性的影响,例如高碳酸血症期间的等代谢。该研究的三个主要发现是:1) 基于 R(2)’的新校准方法运行良好,但不如理想的高碳酸血症方法;2) 高氧校准方法明显较差,因为必须假设基线血细胞比容和 OEF,并且这些生理参数对测量有重大影响;3) 静脉血容量随激活的变化是所有方法的一个重要混杂变量,当这种情况不确定时,高碳酸血症方法最稳健。