Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK.
Neuroimage. 2011 Jan 1;54(1):369-79. doi: 10.1016/j.neuroimage.2010.07.059. Epub 2010 Aug 1.
Inter-subject differences in local cerebral blood flow (CBF) and cerebral blood volume (CBV) contribute to differences in BOLD signal reactivity and, therefore, unmodelled variance in group level fMRI analyses. A simple way of elevating blood CO(2) concentrations to characterise subject differences in vascular reactivity is through breath-holds but two aspects of this measure are often neglected: (1) breath-holds are usually modelled as blocks even though CO(2) accumulates over time and (2) increases in CO(2) differ between subjects. This study demonstrates that the BOLD breath-hold response is best modelled by convolving the end-tidal CO(2) trace with a standard haemodynamic response function and including its temporal derivative. Inclusion of the BOLD breath-hold response as a voxel-dependent covariate in a group level analysis increases the spatial extent of activation in stimulus evoked and resting state datasets. By expressing the BOLD breath-hold response as a percentage signal increase with respect to an absolute change in the partial pressure of CO(2) (expressed in mmHg), the spatial extent of stimulus-evoked activation is further improved. This demonstrates that individual end-tidal CO(2) increases to breath-hold should be accounted for to provide an accurate measure of vascular reactivity resulting in more statistically active voxels in group level analyses.
受试者间局部脑血流 (CBF) 和脑血容量 (CBV) 的差异导致了血氧水平依赖 (BOLD) 信号反应性的差异,因此在组水平 fMRI 分析中存在未建模的方差。一种简单的方法是通过屏气来提高血液 CO2 浓度,以描述血管反应性的个体差异,但这种测量方法有两个方面经常被忽视:(1) 尽管 CO2 会随着时间的推移而积累,但屏气通常被建模为块;(2) 不同的受试者之间 CO2 的增加量不同。本研究表明,BOLD 屏气反应最好通过将呼气末 CO2 轨迹与标准血液动力学反应函数卷积,并包括其时间导数来建模。在组水平分析中,将 BOLD 屏气反应作为与 CO2 分压 (mmHg 表示) 的绝对变化相关的体素相关协变量包括在内,可以增加刺激诱发和静息状态数据集的激活空间范围。通过将 BOLD 屏气反应表示为相对于 CO2 分压绝对变化的信号增加百分比 (以 mmHg 表示),刺激诱发激活的空间范围得到进一步改善。这表明,应该考虑个体呼气末 CO2 增加到屏气,以提供血管反应性的准确测量,从而在组水平分析中产生更多统计学上活跃的体素。