Physiology/Biomedical Engineering, Université de Montréal, Montreal, Quebec, Canada.
Neuroimage. 2012 Nov 15;63(3):1353-63. doi: 10.1016/j.neuroimage.2012.07.065. Epub 2012 Aug 16.
We have recently described an extension of calibrated MRI, which we term QUO2 (for QUantitative O(2) imaging), providing absolute quantification of resting oxidative metabolism (CMRO(2)) and oxygen extraction fraction (OEF(0)). By combining BOLD, arterial spin labeling (ASL) and end-tidal O(2) measurements in response to hypercapnia, hyperoxia and combined hyperoxia/hypercapnia manipulations, and the same MRI measurements during a task, a comprehensive set of vascular and metabolic measurements can be obtained using a generalized calibration model (GCM). These include the baseline absolute CBF in units of ml/100g/min, cerebrovascular reactivity (CVR) in units of %Δ CBF/mm Hg, M in units of percent, OEF(0) and CMRO(2) at rest in units of μmol/100g/min, percent evoked CMRO(2) during the task and n, the value for flow-metabolic coupling associated with the task. The M parameter is a calibration constant corresponding to the maximal BOLD signal that would occur upon removal of all deoxyhemoglobin. We have previously shown that the GCM provides estimates of the above resting parameters in grey matter that are in excellent agreement with literature. Here we demonstrate the method using functionally-defined regions-of-interest in the context of an activation study. We applied the method under high and low signal-to-noise conditions, corresponding respectively to a robust visual stimulus and a modified Stroop task. The estimates fall within the physiological range of literature values, showing the general validity of the GCM approach to yield non-invasively an extensive array of relevant vascular and metabolic parameters.
我们最近描述了校准 MRI 的扩展,我们称之为 QUO2(用于定量 O(2) 成像),提供了静息氧化代谢(CMRO(2))和氧提取分数(OEF(0))的绝对定量。通过结合 BOLD、动脉自旋标记(ASL)和呼气末 O(2) 测量,以响应高碳酸血症、高氧血症和高氧/高碳酸血症联合处理,以及在任务期间进行相同的 MRI 测量,可以使用广义校准模型(GCM)获得全面的血管和代谢测量。这些测量包括以 ml/100g/min 为单位的基线绝对 CBF、以 %Δ CBF/mm Hg 为单位的脑血管反应性(CVR)、以 % 为单位的 M、以 μmol/100g/min 为单位的静息时 OEF(0) 和 CMRO(2)、任务期间的诱发 CMRO(2)百分比和 n,与任务相关的流量代谢耦合值。M 参数是与去除所有去氧血红蛋白时将发生的最大 BOLD 信号对应的校准常数。我们之前已经表明,GCM 提供了灰质中上述静息参数的估计值,与文献非常吻合。在这里,我们在激活研究的背景下使用功能定义的感兴趣区域来演示该方法。我们在高和低信噪比条件下应用该方法,分别对应于强大的视觉刺激和修改后的 Stroop 任务。这些估计值落在文献值的生理范围内,表明 GCM 方法具有普遍的有效性,可以无创地产生广泛的相关血管和代谢参数。