On co-activation pattern analysis and non-stationarity of resting brain activity
On co-activation pattern analysis and non-stationarity of resting brain activity
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DOI：
10.1016/j.neuroimage.2022.118904
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发表时间：
2021-08
期刊：
影响因子：
5.7
通讯作者：
Teppei Matsui;Trung Quang Pham;K. Jimura;J. Chikazoe
中科院分区：
文献类型：
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作者：
Teppei Matsui;Trung Quang Pham;K. Jimura;J. Chikazoe
近年来，静息态脑活动的非平稳性受到越来越多的关注。短滑动窗功能连接分析和共激活模式分析是两种广泛应用于功能磁共振成像（fMRI）脑活动动态特征评估的方法。然而，这些技术捕获的动态的统计性质需要验证。在这项研究中，我们发现CAP分析的结果是相似的真实的fMRI数据和模拟平稳数据匹配的协方差结构和频谱内容。我们还发现，无论是真实的和模拟数据，CAP被聚集到空间异构模块。此外，对于真实的数据中的每个模块，在模拟数据中发现了空间相似的模块。目前的研究结果表明，需要采取谨慎的解释时，从CAP分析的意见，因为它不一定反映非平稳性或在休息时的大脑活动的状态的混合物。
The non-stationarity of resting-state brain activity has received increasing attention in recent years. Functional connectivity (FC) analysis with short sliding windows and coactivation pattern (CAP) analysis are two widely used methods for assessing the dynamic characteristics of brain activity observed with functional magnetic resonance imaging (fMRI). However, the statistical nature of the dynamics captured by these techniques needs to be verified. In this study, we found that the results of CAP analysis were similar for real fMRI data and simulated stationary data with matching covariance structures and spectral contents. We also found that, for both the real and simulated data, CAPs were clustered into spatially heterogeneous modules. Moreover, for each of the modules in the real data, a spatially similar module was found in the simulated data. The present results suggest that care needs to be taken when interpreting observations drawn from CAP analysis as it does not necessarily reflect non-stationarity or a mixture of states in resting brain activity.