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The degree of Granger causal modeling estimated influence for a brain region was reported to predict its blood oxygenation level-dependent (BOLD) activity level in the resting-state default mode network (DMN). Many brain disorders, such as Alzheimer's disease (AD), may alter the influence strength, activity levels, or both. Whether the relationship or(More)
Depression is the most common psychiatric disorder observed in Parkinson's disease (PD) patients, however the neural contribution to the high rate of depression in the PD group is still unclear. In this study, we used resting-state functional magnetic resonance imaging (fMRI) to investigate the underlying neural mechanisms of depression in PD patients.(More)
Detecting community structure has become one important technique for studying complex networks. Although many community detection algorithms have been proposed, most of them focus on separated communities, where each node can belong to only one community. However, in many real-world networks, communities are often overlapped with each other. Developing(More)
Two techniques based on the Bayesian network (BN), Gaussian Bayesian network and discrete dynamic Bayesian network (DBN), have recently been used to determine the effective connectivity from functional magnetic resonance imaging (fMRI) data in an exploratory manner and to provide a new method for exploring the interactions among brain regions. However,(More)
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