Assessing the mean strength and variations of the time-to-time fluctuations of resting-state brain activity.
Assessing the mean strength and variations of the time-to-time fluctuations of resting-state brain activity.
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DOI：
10.1007/s11517-016-1544-3
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发表时间：
2017-04
影响因子：
3.2
通讯作者：
Wang Z
中科院分区：
文献类型：
--
作者：
Li Z;Zang YF;Ding J;Wang Z
静息态功能磁共振成像（rsfMRI）所捕获的静息态脑活动的时间-时间波动（TTFs）已被反复证明是功能性脑结构和疾病相关改变的信息。TTF可以通过连续差的均值和范围来表征。前者可以用均方连续差（MSSD）来测量，它在数学上类似于标准差;后者可以通过连续差的变异性（VSD）来计算。本研究的目的是评估静息状态RSFMRI的MSSD和VSD的重测稳定性、对大脑状态变化的敏感性以及它们的生物学意义。我们假设MSSD和VSD在静息脑中是可靠的;这两种测量方法对大脑状态变化敏感，例如与闭眼条件相比，睁眼条件;两者都可以预测年龄。这些假设与三个rsfMRI数据集进行了测试，并证明是正确的，这表明MSSD和VSD作为可靠和有用的工具，休息状态的研究。
The time-to-time fluctuations (TTFs) of resting-state brain activity as captured by resting-state fMRI (rsfMRI) have been repeatedly shown to be informative of functional brain structures and disease-related alterations. TTFs can be characterized by the mean and the range of successive difference. The former can be measured with the mean squared successive difference (MSSD), which is mathematically similar to standard deviation; the latter can be calculated by the variability of the successive difference (VSD). The purpose of this study was to evaluate both the resting state-MSSD and VSD of rsfMRI regarding their test–retest stability, sensitivity to brain state change, as well as their biological meanings. We hypothesized that MSSD and VSD are reliable in resting brain; both measures are sensitive to brain state changes such as eyes-open compared to eyes-closed condition; both are predictive of age. These hypotheses were tested with three rsfMRI datasets and proven true, suggesting both MSSD and VSD as reliable and useful tools for resting-state studies.