Detection of functional connectivity using temporal correlations in MR images
Detection of functional connectivity using temporal correlations in MR images
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DOI：
10.1002/hbm.10022
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发表时间：
2002-04-01
影响因子：
4.8
通讯作者：
Gore, JC
中科院分区：
文献类型：
--
作者：
Hampson, M;Peterson, BS;Gore, JC
通过分析在稳定状态下获得的磁共振（MR）图像中记录的区域信号波动之间的相关性，研究了大脑区域之间的功能连接。与利用任务操作的功能连接的研究相比，稳态数据中的相关性分析不太容易受到功能不相关的大脑区域以类似方式响应任务变化时产生的混淆。一种新的方法来确定区域间的相关性，在稳态数据使用两个独立的数据集。定义感兴趣区域（ROI），并在一个数据集中生成关于其连通性的假设。然后，通过分析区域之间的低频时间相关性，在剩余的（独立的）数据集中评估连通性假设。然后，两个数据集的角色被颠倒，这个过程可能会重复多次。通过语言系统的应用说明了这种方法。Broca区和Wernicke区之间存在功能联系，这在健康受试者休息时得到证实。当语言系统积极参与时（当受试者连续听叙述性文本时），这种功能连接也会增加。在第二次迭代分析中，布罗卡区和左前运动皮层的区域之间的相关性被发现在休息时是显着的，并在连续听时增加。这些发现表明，所提出的方法可以揭示在高层次的认知系统的功能连接的存在和强度。(C)2002 Wiley-Liss，Inc.
Functional connectivity among brain regions has been investigated via an analysis of correlations between regional signal fluctuations recorded in magnetic resonance (MR) images obtained in a steady state. In comparison with studies of functional connectivity that utilize task manipulations, the analysis of correlations in steady state data is less susceptible to confounds arising when functionally unrelated brain regions respond in similar ways to changes in task. A new approach to identifying interregional correlations in steady state data makes use of two independent data sets. Regions of interest (ROIs) are defined and hypotheses regarding their connectivity are generated in one data set. The connectivity hypotheses are then evaluated in the remaining (independent) data set by analyzing low frequency temporal correlations between regions. The roles of the two data sets are then reversed and the process repeated, perhaps multiple times. This method was illustrated by application to the language system. The existence of a functional connection between Broca's area and Wernicke's area was confirmed in healthy subjects at rest. An increase in this functional connection when the language system was actively engaged (when subjects were continuously listening to narrative text) was also confirmed. In a second iteration of analyses, a correlation between Broca's area and a region in left premotor cortex was found to be significant at rest and to increase during continuous listening. These findings suggest that the proposed methodology can reveal the presence and strength of functional connections in high-level cognitive systems. (C) 2002 Wiley-Liss, Inc.