Towards a consensus regarding global signal regression for resting state functional connectivity MRI.
Towards a consensus regarding global signal regression for resting state functional connectivity MRI.
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DOI：
10.1016/j.neuroimage.2016.11.052
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发表时间：
2017-07-01
期刊：
影响因子：
5.7
通讯作者：
Fox MD
中科院分区：
文献类型：
--
作者：
Murphy K;Fox MD
随着数据处理选项的增加，静息状态功能连接MRI研究的数量继续沿着快速增长。在处理选项中，很少有像全局信号回归和随后观察到的负相关（反相关）那样引起如此多的争议。这场辩论激发了新的处理策略和该领域的进步，但也产生了严重的混乱和矛盾的指导方针。在这篇文章中，我们致力于就全局信号回归达成共识。我们强调了几个一致的观点，包括没有一个单一的“正确”的方式来处理静息状态数据，揭示了大脑的“真实”性质。虽然还需要进一步的研究，但不同的处理方法可能会揭示出关于大脑功能组织的互补见解。全局信号回归是一种有争议的静息态fMRI预处理方法。关于海矿资源的辩论产生了严重的混乱和相互矛盾的指导方针。在这里，我们提出了我们的共识声明使用GSR在静息状态分析。没有“正确”的预处理方法可以揭示大脑的“真实”本质。不同的处理方法揭示了关于大脑功能的互补见解。
The number of resting state functional connectivity MRI studies continues to expand at a rapid rate along with the options for data processing. Of the processing options, few have generated as much controversy as global signal regression and the subsequent observation of negative correlations (anti-correlations). This debate has motivated new processing strategies and advancement in the field, but has also generated significant confusion and contradictory guidelines. In this article, we work towards a consensus regarding global signal regression. We highlight several points of agreement including the fact that there is not a single “right” way to process resting state data that reveals the “true” nature of the brain. Although further work is needed, different processing approaches likely reveal complementary insights about the brain's functional organisation. Global signal regression is a controversial resting state fMRI pre-processing option. The debate about GSR has generated significant confusion and contradictory guidelines. Here, we present our consensus statement on the use of GSR in resting state analyses. There is no “right” way to pre-process that reveals the “true” nature of the brain. Different processing approaches reveal complimentary insights about brain function.