Ho Tsung-Jung, Duann Jeng-Ren, Chen Chun-Ming, Chen Jeon-Hor, Shen Wu-Chung, Lu Tung-Wu, Liao Jan-Ray, Lin Zen-Pin, Shaw Kuo-Ning, Lin Jaung-Geng
School of Chinese Medicine, College of Chinese Medicine, China Medical University, Taiwan, China.
Chin Med J (Engl). 2009 Apr 5;122(7):823-9.
The onsets of needling sensation introduced by acupuncture stimulus can vary widely from subject to subject. This should be explicitly accounted for by the model blood oxygenation-level dependent (BOLD) time course used in general linear model (GLM) analysis to obtain more consistent across-subject group results. However, in standard GLM analysis, the model BOLD time course obtained by convolving a canonical hemodynamic response function with an experimental paradigm time course is assumed identical across subjects. Although some added-on properties to the model BOLD time course, such as temporal and dispersion derivatives, may be used to account for different BOLD response onsets, they can only account for the BOLD onset deviations to the extent of less than one repetition time (TR).
In this study, we explicitly manipulated the onsets of model BOLD time course by shifting it with -2, -1, or 1 TR and used these temporally shifted BOLD model to analyze the functional magnetic resonance imaging (fMRI) data obtained from three acupuncture fMRI experiments with GLM analysis. One involved acupuncture stimulus on left ST42 acupoint and the other two on left GB40 and left BL64 acupoints.
The model BOLD time course with temporal shifts, in addition to temporal and dispersion derivatives, could result in better statistical power of the data analysis in terms of the average correlation coefficients between the used BOLD models and extracted BOLD responses from individual subject data and the T-values of the activation clusters in the grouped random effects.
The GLM analysis with ordinary BOLD model failed to catch the large variability of the onsets of the BOLD responses associated with the acupuncture needling sensation. Shifts in time with more than a TR on model BOLD time course might be required to better extract the acupuncture stimulus-induced BOLD activities from individual fMRI data.
针刺刺激所引发的针刺感觉的起始时间在个体之间差异很大。在一般线性模型(GLM)分析中用于获取更一致的跨个体组结果的模型血氧水平依赖(BOLD)时间进程应明确考虑到这一点。然而,在标准的GLM分析中,通过将典型血液动力学响应函数与实验范式时间进程进行卷积得到的模型BOLD时间进程被假定在个体之间是相同的。尽管模型BOLD时间进程的一些附加属性,如时间和离散导数,可用于解释不同的BOLD响应起始时间,但它们只能解释小于一个重复时间(TR)范围内的BOLD起始偏差。
在本研究中,我们通过将模型BOLD时间进程分别向后移动-2、-1或1个TR来明确操纵其起始时间,并使用这些时间上移位的BOLD模型通过GLM分析来分析从三个针刺功能磁共振成像(fMRI)实验中获得的功能磁共振成像数据。其中一个实验是对左侧足三里穴进行针刺刺激,另外两个实验分别是对左侧足临泣穴和左侧昆仑穴进行针刺刺激。
除了时间和离散导数外,具有时间移位的模型BOLD时间进程在用于分析的BOLD模型与从个体受试者数据中提取的BOLD响应之间的平均相关系数以及分组随机效应中激活簇的T值方面,能够带来更好的数据分析统计功效。
使用普通BOLD模型的GLM分析未能捕捉到与针刺感觉相关的BOLD响应起始时间的巨大变异性。可能需要对模型BOLD时间进程进行超过一个TR的时间移位,以便从个体fMRI数据中更好地提取针刺刺激诱发的BOLD活动。