Network neuroscience has emerged as a leading method to study brain connectivity. The
success of these investigations is dependent not only on approaches to accurately map …

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 …

Disruption of mental functions in Alzheimer's disease (AD) and related disorders is
accompanied by selective degeneration of brain regions. These regions comprise large …

The mechanisms controlling dynamical patterns in spontaneous brain activity are poorly
understood. Here, we provide evidence that cortical dynamics in the ultra-slow frequency …

The standard approach to modeling the human brain as a complex system is with a network,
where the basic unit of interaction is a pairwise link between two brain regions. While …

One of the most well-established tools for modeling the brain is the functional connectivity
network, which is constructed from pairs of interacting brain regions. While powerful, the …

Network neuroscience has emphasized the connectional properties of neural elements–
cells, populations, and regions. This has come at the expense of the anatomical and …

The extraction of “fingerprints” from human brain connectivity data has become a new
frontier in neuroscience. However, the time scales of human brain identifiability are still …

Cognition and attention arise from the adaptive coordination of neural systems in response
to external and internal demands. The low-dimensional latent subspace that underlies large …

One of the essential functions of biological neural networks is the processing of information.
This includes everything from processing sensory information to perceive the environment …