Physiology/Biomedical Engineering, Université de Montréal, Montreal, Quebec, Canada.
Neuroimage. 2012 Apr 2;60(2):1212-25. doi: 10.1016/j.neuroimage.2011.12.056. Epub 2011 Dec 29.
We present a method allowing determination of resting cerebral oxygen metabolism (CMRO₂) from MRI and end-tidal O₂ measurements acquired during a pair of respiratory manipulations producing different combinations of hypercapnia and hyperoxia. The approach is based on a recently introduced generalization of calibrated MRI signal models that is valid for arbitrary combinations of blood flow and oxygenation change. Application of this model to MRI and respiratory data during a predominantly hyperoxic gas manipulation yields a specific functional relationship between the resting BOLD signal M and the resting oxygen extraction fraction OEF₀. Repeating the procedure using a second, primarily hypercapnic, manipulation provides a different functional form of M vs. OEF₀. These two equations can be readily solved for the two unknowns M and OEF₀. The procedure also yields the resting arterial O₂ content, which when multiplied by resting cerebral blood flow provides the total oxygen delivery in absolute physical units. The resultant map of oxygen delivery can be multiplied by the map of OEF₀ to obtain a map of the resting cerebral metabolic rate of oxygen consumption (CMRO₂) in absolute physical units. Application of this procedure in a group of seven human subjects provided average values of 0.35 ± 0.04 and 6.0 ± 0.7% for OEF₀ and M, respectively in gray-matter (M valid for 30 ms echo-time at 3T). Multiplying OEF₀ estimates by the individual values of resting gray-matter CBF (mean 52 ± 5 ml/100 g/min) and the measured arterial O₂ content gave a group average resting CMRO₂ value of 145 ± 30 μmol/100 g/min. The method also allowed the generation of maps depicting resting OEF, BOLD signal, and CMRO₂.
我们提出了一种方法,可通过 MRI 和在产生不同二氧化碳和氧气水平组合的一对呼吸操作中获得的潮气末 O₂测量来确定静息脑氧代谢(CMRO₂)。该方法基于最近引入的校准 MRI 信号模型的推广,该模型对任意血流和氧合变化的组合均有效。将该模型应用于 MRI 和呼吸数据,在主要为高氧气体操作期间,得出了静息 BOLD 信号 M 与静息氧摄取分数 OEF₀之间的特定功能关系。使用第二个主要为高碳酸血症的操作重复该过程,提供了 M 与 OEF₀之间的不同功能形式。可以轻松地从这两个方程中求解出两个未知数 M 和 OEF₀。该过程还会产生静息动脉 O₂含量,将其乘以静息脑血流即可提供绝对物理单位中的总氧气输送量。所得的氧气输送图可以乘以 OEF₀图,以获得绝对物理单位中的静息脑氧消耗代谢率(CMRO₂)图。在一组七名人类受试者中应用该程序,在灰质中分别得到了 OEF₀和 M 的平均值为 0.35 ± 0.04 和 6.0 ± 0.7%(M 在 3T 时有效 30 ms 回波时间)。将 OEF₀估计值乘以个体静息灰质 CBF 值(平均 52 ± 5 ml/100 g/min)和测量的动脉 O₂含量,得到了组平均静息 CMRO₂值为 145 ± 30 μmol/100 g/min。该方法还可以生成描绘静息 OEF、BOLD 信号和 CMRO₂的图。