Center for Functional Magnetic Resonance Imaging, Department of Radiology, University of California San Diego, La Jolla, CA 92093-0677, USA.
Neuroimage. 2012 Mar;60(1):279-89. doi: 10.1016/j.neuroimage.2011.11.081. Epub 2011 Dec 6.
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.
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。