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 …

Dynamic brain network has the advantage over static brain network in characterizing the
variation pattern of functional brain connectivity, and it has attracted increasing attention in …

Recent development of neuroimaging and network science allow us to visualize and
characterize the whole brain connectivity map in vivo. As the importance of volumetric image …

In recent years, functional magnetic resonance imaging has emerged as a powerful tool for
investigating the human brain's functional connectivity networks. Related studies …

Mapping human behaviors to brain activity has become a key focus in modern cognitive
neuroscience. As methods such as functional MRI (fMRI) advance cognitive scientists show …

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

Functional connectivity (FC) has been widely used to understand how the human brain
works and to discover the neurobiological underpinnings of brain disorders in many …

Tremendous recent literature show that associations between different brain regions, ie,
brain connectivity, provide early symptoms of neurological disorders. Despite significant …

Applying network science approaches to investigate the functions and anatomy of the
human brain is prevalent in modern medical imaging analysis. Due to the complex network …

MRI-based modeling of brain networks has been widely used to understand functional and
structural interactions and connections among brain regions, and factors that affect them …