尽管其原因和方法仍有待研究，但由于去全脑效应处理能显著提高功能连接结果的统计效力、空间特异性以及可重复性，它仍然被广泛应用于当前的静息态功能连接分析中。
Even though it is under debate and its nature remains unclear, the removal of global signal has been still suggested and widely used in most recent resting-state fMRI literatures.
在一般的静息态功能连接分析时，首先需要对数据进行一系列预处理，以去除信号中的不感兴趣的噪声和干扰成分。这些预处理也包括近年来引起广泛关注和讨论的去全脑效应。
A common but controversial pre-processing step in the analysis of resting-state fMRI data is the removal of a global time-course that is the average of all the time-courses within the brain.
在一般的静息态功能连接分析时，首先需要对数据进行一系列预处理，以去除信号中的不感兴趣的噪声和干扰成分。这些预处理也包括近年来引起广泛关注和讨论的去全脑效应。
A common but controversial pre-processing step in the analysis of resting-state fMRI data is the removal of a global time-course that is the average of all the time-courses within the brain.
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