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Clustering analysis of default mode network in fMRI data

机译:FMRI数据中默认模式网络的聚类分析

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Two clustering combined method was proposed to deal with functional magnetic resonance imaging. This method can discover different network in a single run. We applied the method to resting-state data, and the default mode network was discovered, which was consistent with the independent component analysis result. The problem on the detection of brain functional connectivity network was discussed. The validity of the presented method was elucidated by experiments on a human dataset. On the dataset, the presented approach discovered default mode network which was in line with the discoveries of former studies.
机译:提出了两种聚类组合方法来处理功能磁共振成像。此方法可以在一次运行中发现不同的网络。我们将方法应用于休息状态数据,发现默认模式网络,这与独立的组件分析结果一致。讨论了关于脑功能连接网络检测的问题。通过对人数据集的实验阐明了所提出的方法的有效性。在DataSet上,所提出的方法发现违约模式网络符合前研究的发现。

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