Functional connectivity networks with and without global signal correction.
Functional connectivity networks with and without global signal correction.
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DOI：
10.3389/fnhum.2013.00880
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发表时间：
2013
影响因子：
2.9
通讯作者：
Hayasaka S
中科院分区：
文献类型：
--
作者：
Hayasaka S
在 BOLD（血氧水平相关）fMRI 数据的功能连接分析中，关于是否校正 fMRI 时间序列数据中的全局信号一直存在争论。尽管自 fMRI 数据分析早期以来，fMRI 界就一直在进行讨论，但由于功能连接分析（特别是基于图论的网络分析）的激增，近年来该主题重新受到关注。然而，在网络分析的背景下，尚未系统地描述校正（或不校正）全局信号的影响。因此，在这项工作中，我研究了全局信号校正对功能磁共振成像网络分析的影响。特别是，基于体素的静息态功能磁共振成像网络是在有和没有全局信号校正的情况下构建的。对所得的功能连接网络进行了比较。如果没有全局信号校正，相关系数的分布存在正偏差。我还发现，如果没有全局信号校正，沿纵裂间裂的节点高度连接，而白质束周围的一些节点和子图与网络的其余部分断开连接。这项研究的这些结果显示了有或没有全局信号校正的网络之间的差异。
In functional connectivity analyses in BOLD (blood oxygenation level dependent) fMRI data, there is an ongoing debate on whether to correct global signals in fMRI time series data. Although the discussion has been ongoing in the fMRI community since the early days of fMRI data analyses, this subject has gained renewed attention in recent years due to the surging popularity of functional connectivity analyses, in particular graph theory-based network analyses. However, the impact of correcting (or not correcting) for global signals has not been systematically characterized in the context of network analyses. Thus, in this work, I examined the effect of global signal correction on an fMRI network analysis. In particular, voxel-based resting-state fMRI networks were constructed with and without global signal correction. The resulting functional connectivity networks were compared. Without global signal correction, the distributions of the correlation coefficients were positively biased. I also found that, without global signal correction, nodes along the interhemisphic fissure were highly connected whereas some nodes and subgraphs around white-matter tracts became disconnected from the rest of the network. These results from this study show differences between the networks with or without global signal correction.
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DOI：
10.1073/pnas.0504136102
发表时间：
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影响因子：
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