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

Modelling the human brain as a complex network has provided a powerful mathematical
framework to characterize the structural and functional architectures of the brain. In the past …

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 …

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 …

Visual attention functions as a filter to select environmental information for learning and
memory, making it the first step in the eventual cascade of thought and action systems. Here …

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

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 …

Attention-deficit/hyperactivity disorder (ADHD) has long been thought to reflect dysfunction
of prefrontal–striatal circuitry, with involvement of other circuits largely ignored. Recent …

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 …

Schizophrenia is frequently characterized as a disorder of brain connectivity. Neuroimaging
has played a central role in supporting this view, with nearly two decades of research …