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Major Depressive Disorder (MDD) is a serious and highly heterogeneous psychological disorder. According to the network hypothesis, depression originates from abnormal neural network information processing, typically resulting in aberrant changes ...

• A novel multilayer network fused with multi-domain information of high-density EEG sensors is proposed.
• The frequency- and temporal-domain topological properties describing information segregation and integration are developed.
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Functional connectivity (FC) derived from resting-state fMRI (rs-fMRI) is a primary approach for identifying brain diseases, but it is limited to capturing the pairwise correlation between regions-of-interest (ROIs) in the brain. Thus, hyper-...

First, the resting-state functional Magnetic Resonance Imaging (rs-fMRI) data is preprocessed into fMRI time series and other functional indicators. Then, the fMRI time series is utilized for constructing effective hyper-connectivity (...

• We propose a novel effective hyper-connectivity (EHC) network modeling approach that effectively captures the directional information flow among multiple ROIs.
• Our proposed directed hypergraph convolutional network (DHGCN) to learn ...