McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada.
J Cereb Blood Flow Metab. 2012 Apr;32(4):709-19. doi: 10.1038/jcbfm.2011.174. Epub 2011 Dec 14.
Deriving cerebral metabolic rate of oxygen consumption (CMRO(2)) from blood oxygenation level-dependent (BOLD) signals involves a flow-volume parameter (α), reflecting total cerebral blood volume changes, and a calibration constant (M). Traditionally, the former is assumed a fixed value and the latter is measured under alterations in fixed inspired fractional concentrations of carbon dioxide. We recently reported on reductions in M-variability via precise control of end-tidal pressures of both hypercapnic (HC) and hyperoxic (HO) gases. In light of these findings, our aim was to apply the improved calibration alternatives to neuronal activation, making use of their distinct vasoactive natures to evaluate the α-value. Nine healthy volunteers were imaged at 3 T while simultaneously measuring BOLD and arterial spin-labeling signals during controlled, graded, HC, and HO, followed by visual (VC) and sensorimotor cortices (SMC) activation. On the basis of low M- and CMRO(2)-variability, the comparison of these calibration alternatives accurately highlighted a reduced venous flow-volume relationship (α=0.16±0.02, with α(VC)=0.12±0.04, and α(SMC)=0.20±0.02), as appropriate for BOLD modeling.
从血氧水平依赖(BOLD)信号中推导出脑氧代谢率(CMRO(2))涉及到一个流体积参数(α),反映了总脑血容量的变化,以及一个校准常数(M)。传统上,前者被假设为一个固定值,后者则是在固定的吸入二氧化碳分数变化下测量的。我们最近报道了通过精确控制高碳酸血症(HC)和高氧血症(HO)气体的呼气末压力来降低 M 的可变性。鉴于这些发现,我们的目的是将改进的校准替代方案应用于神经元激活,利用它们不同的血管活性特性来评估α值。9 名健康志愿者在 3T 下进行成像,同时在受控的、分级的 HC 和 HO 期间测量 BOLD 和动脉自旋标记信号,随后进行视觉(VC)和感觉运动皮层(SMC)激活。基于低 M 和 CMRO(2)可变性,这些校准替代方案的比较准确地突出了静脉血流体积关系的降低(α=0.16±0.02,α(VC)=0.12±0.04,α(SMC)=0.20±0.02),适合 BOLD 建模。