On the relationship between seed-based and ICA-based measures of functional connectivity.

On the relationship between seed-based and ICA-based measures of functional connectivity.
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DOI:
10.1002/mrm.22818
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发表时间:
2011-09
影响因子:
3.3
通讯作者:
Pekar, James J.
Pekar, James J.
中科院分区:
医学3区
文献类型:
--
作者:
Joel, Suresh E.;Caffo, Brian S.;van Zijl, Peter C. M.;Pekar, James J.

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脑功能连通性(FC)是指血氧水平依赖性(BOLD)功能磁共振成像(fMRI)中低频波动的区域间同步性。FC已在任务性能和“休息”状态下进行了评估,产生与行为和诊断相关的FC差异的报告。两种方法被广泛用于从BOLD fMRI数据中评估FC:与指定种子体素或感兴趣的小区域的时间相关性;以及空间独立分量分析(伊卡)。虽然基于种子的方法和伊卡方法的结果一般相似,但它们在概念上是不同的。本研究的目的是阐明和说明,定性和定量,种子和伊卡衍生措施FC之间的关系。种子为基础的FC措施被证明是ICA派生的网络内连接和网络之间的连接的总和。我们提出了一个简单的模拟和视觉活动的实验,突出这两种方法之间的关系。
Brain functional connectivity (FC) refers to inter-regional synchrony of low frequency fluctuations in blood oxygenation level dependent (BOLD) functional MRI (fMRI). FC has been evaluated both during task performance and in the “resting” state, yielding reports of FC differences correlated with behavior and diagnosis. Two methodologies are widely used for evaluating FC from BOLD fMRI data: Temporal correlation with a specified seed voxel or small region of interest; and spatial independent component analysis (ICA). While results from seed-based and ICA methodologies are generally similar, they are conceptually different. The present study is intended to elucidate and illustrate, qualitatively and quantitatively, the relationship between seed and ICA derived measures of FC. Seed-based FC measures are shown to be the sum of ICA-derived within network connectivities and between network connectivities. We present a simple simulation and an experiment on visuomotor activity that highlight this relationship between the two methods.
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