Inferring functional connectivity using spatial modulation measures of fMRI signals within brain regions of interest

B. Ng, R. Abugharbieh, M. McKeown
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引用次数: 1

Abstract

We propose inferring functional connectivity between brain regions by examining the spatial modulation of the blood oxygen level dependent (BOLD) signals within brain regions of interest (ROIs). This is motivated by our previous work, where the spatial distribution of BOLD signals within an ROI was found to be modulated by task. Applying replicator dynamics to our proposed spatial feature time courses on real functional magnetic resonance imaging (fMRI) data detected task-related changes in the composition of the brain's functional networks, whereas using classical mean intensity features resulted in little changes being detected. Thus, our results suggest that intensity is not the only co- activating feature in fMRI data. Instead, spatial modulations may also be used for inferring functional connectivity.
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利用功能磁共振成像信号在感兴趣的大脑区域的空间调制措施推断功能连接
我们建议通过检查脑感兴趣区域(roi)内血氧水平依赖(BOLD)信号的空间调制来推断脑区域之间的功能连接。这是由我们之前的工作激发的,在该工作中,ROI内BOLD信号的空间分布被发现是由任务调制的。将复制因子动力学应用于我们提出的基于真实功能磁共振成像(fMRI)数据的空间特征时间过程,可以检测到大脑功能网络组成中与任务相关的变化,而使用经典的平均强度特征只能检测到很少的变化。因此,我们的结果表明,强度并不是fMRI数据中唯一的共同激活特征。相反,空间调制也可用于推断功能连接。
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