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 …

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 …

Brain function operates through the coordinated activation of neuronal assemblies. Graph
theory predicts that scale-free topologies, which include “hubs”(superconnected nodes), are …

Self-organized criticality refers to the spontaneous emergence of self-similar dynamics in
complex systems poised between order and randomness. The presence of self-organized …

A systematic assessment of global neural network connectivity through direct
electrophysiological assays has remained technically infeasible, even in simpler systems …

Network science offers computational tools to elucidate the complex patterns of interactions
evident in neuroimaging data. Recently, these tools have been used to detect dynamic …

We analyze the connectivity structure of weighted brain networks extracted from
spontaneous magnetoencephalographic signals of healthy subjects and epileptic patients …

Epilepsy–the world's most common serious brain disorder–is defined by recurrent
unprovoked seizures that result from complex interactions between distributed neural …

Epilepsy is a malfunction of the brain that affects over 50 million people worldwide. Epileptic
seizures are usually characterized by an abnormal synchronized firing of neurons involved …

Structure–function studies of neuronal networks have recently benefited from considerable
progress in different areas of investigation. Advances in molecular genetics and imaging …