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 …

Although graph theory has been around since the 18th century, the field of network science
is more recent and continues to gain popularity, particularly in the field of neuroimaging. The …

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 …

Highlights•Brain networks derived from functional connectivity vary across individual
humans.•Variability in connectional strength causes regions to exhibit variable network …

The brain is increasingly studied with graph theoretical approaches, which can be used to
characterize network topology. However, studies on brain networks have reported …

High-throughput methods for yielding the set of connections in a neural system, the
connectome, are now being developed. This tutorial describes ways to analyze the …

Connectivity is fundamental for understanding the nature of brain function. The intricate web
of synaptic connections among neurons is critically important for shaping neural responses …

A key challenge in neuroscience and, in particular, neuroimaging, is to move beyond
identification of regional activations toward the characterization of functional circuits …

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

Over the past 20 years, neuroimaging has become a predominant technique in systems
neuroscience. One might envisage that over the next 20 years the neuroimaging of …