Recent developments in the quantitative analysis of complex networks, based largely on
graph theory, have been rapidly translated to studies of brain network organization. The …

Background: Analysis of the human connectome using functional magnetic resonance
imaging (fMRI) started in the mid-1990s and attracted increasing attention in attempts to …

Brain connectivity datasets comprise networks of brain regions connected by anatomical
tracts or by functional associations. Complex network analysis—a new multidisciplinary …

Large-scale functional or structural brain connectivity can be modeled as a network, or
graph. This paper presents a statistical approach to identify connections in such a graph that …

Although attention plays a ubiquitous role in perception and cognition, researchers lack a
simple way to measure a person's overall attentional abilities. Because behavioral …

During resting conditions the brain remains functionally and metabolically active. One
manifestation of this activity that has become an important research tool is spontaneous …

Brain graphs provide a relatively simple and increasingly popular way of modeling the
human brain connectome, using graph theory to abstractly define a nervous system as a set …

Graph theory is a valuable framework to study the organization of functional and anatomical
connections in the brain. Its use for comparing network topologies, however, is not without …

Whole-brain anatomical connectivity in living humans can be modeled as a network with
diffusion-MRI and tractography. Network nodes are associated with distinct grey-matter …

Resting-state functional connectivity in neuropsychiatric di... : Current Opinion in Neurology
Resting-state functional connectivity in neuropsychiatric disorders : Current Opinion in …