Analyses of longitudinal brain networks, ie, graphs, are of significant interest to understand
the dynamics of brain changes with respect to aging and neurodegenerative diseases …

Mounting evidence shows that many neuro-disorders can be understood as a dysfunction
syndrome where the structural and functional connectivities of the large-scale network are …

Several brain disorders can be detected by observing alterations in the brain's structural and
functional connectivities. Neurological findings suggest that early diagnosis of brain …

Multi-modal neuroimaging technology has greatly facilitated the diagnosis efficiency and
diagnosis accuracy, and provides complementary information in discovering objective …

Modeling the dynamics characteristics in functional brain networks (FBNs) is important for
understanding the functional mechanism of the human brain. However, the current works do …

Changes in brain structure and connectivity in aging can be probed through diffusion
weighted MRI and summarized with structural connectome matrices. Complex network …

Functional connectivity (FC) between regions of the brain can be assessed by the degree of
temporal correlation measured with functional neuroimaging modalities. Based on the fact …

The functional connectome has gained increased attention in the neuroscience community.
In general, most network connectivity models are based on correlations between discrete …

Recent years have shown great merits in utilizing neuroimaging data to understand brain
structural and functional changes, as well as its relationship to different neurodegenerative …

Analysis of neurodegenerative diseases on brain connectomes is important in facilitating
early diagnosis and predicting its onset. However, investigation of the progressive and …