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.

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。

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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。

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Resting state functional MRI (fMRI) has been one of the most important techniques for human brain function analyses.

基于静息状态的功能磁共振成像已经成为当前人脑功能研究的重要手段之一。

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