The global signal in fMRI: Nuisance or Information?
The global signal in fMRI: Nuisance or Information?
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DOI：
10.1016/j.neuroimage.2017.02.036
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发表时间：
2017-04-15
期刊：
影响因子：
5.7
通讯作者：
Falahpour M
中科院分区：
文献类型：
--
作者：
Liu TT;Nalci A;Falahpour M
在功能磁共振成像(FMRI)研究的分析中，全局信号被广泛用于消除全局变异的影响的回归或归一化因子。然而，关于它的使用有相当大的争议，因为当它被应用于任务相关和静息状态的功能磁共振研究的分析时，可能会引入潜在的偏差。在这篇文章中，我们将更仔细地研究全球信号，详细研究可能对该信号做出贡献的各种来源。在很大程度上，全球信号被视为一个令人讨厌的术语，但越来越多的证据表明，它可能也包含有价值的信息。我们还研究了在fMRI数据分析中使用全局信号的各种方法，包括全局信号回归、全局信号减法和全局信号归一化。此外，我们描述了理解全局信号回归的影响及其与其他方法的关系的新方法。
The global signal is widely used as a regressor or normalization factor for removing the effects of global variations in the analysis of functional magnetic resonance imaging (fMRI) studies. However, there is considerable controversy over its use because of the potential bias that can be introduced when it is applied to the analysis of both task-related and resting-state fMRI studies. In this paper we take a closer look at the global signal, examining in detail the various sources that can contribute to the signal. For the most part, the global signal has been treated as a nuisance term, but there is growing evidence that it may also contain valuable information. We also examine the various ways that the global signal has been used in the analysis of fMRI data, including global signal regression, global signal subtraction, and global signal normalization. Furthermore, we describe new ways for understanding the effects of global signal regression and its relation to the other approaches.