The pathology of Alzheimer disease (AD) damages structural and functional brain networks,
resulting in cognitive impairment. The results of recent connectomics studies have now …

The macro-connectome elucidates the pathways through which brain regions are
structurally connected or functionally coupled to perform a specific cognitive task. It …

Data augmentation has recently seen increased interest in graph machine learning given its
demonstrated ability to improve model performance and generalization by added training …

A critical feature of the human brain that gives rise to complex cognition is its ability to
reconfigure its network structure dynamically and adaptively in response to the environment …

Graph theoretical analysis has become an important tool in the examination of brain
dysconnectivity in neurological and psychiatric brain disorders. A common analysis step in …

The language of graph theory, or network science, has proven to be an exceptional tool for
addressing myriad problems in neuroscience. Yet, the use of networks is predicated on a …

Brain network analysis plays an increasingly important role in studying brain function and
the exploring of disease mechanisms. However, existing brain network construction tools …

Over the past two decades, resting-state functional connectivity (RSFC) methods have
provided new insights into the network organization of the human brain. Studies of brain …

Network models describe the brain as sets of nodes and edges that represent its distributed
organization. So far, most discoveries in network neuroscience have prioritized insights that …

Recent years have witnessed a paradigm shift in the study and conceptualization of
epilepsy, which is increasingly understood as a network-level disorder. An emblematic case …