Epilepsy is a common disorder characterized by recurrent seizures. An overwhelming
majority of people with epilepsy regard the unpredictability of seizures as a major issue …

The human brain is a complex, interconnected network par excellence. Accurate and
informative map** of this human connectome has become a central goal of neuroscience …

We describe techniques for the robust detection of community structure in some classes of
time-dependent networks. Specifically, we consider the use of statistical null models for …

Numerous studies have demonstrated that brain networks derived from neuroimaging data
have nontrivial topological features, such as small-world organization, modular structure and …

To derive tests for randomness, nonlinear-independence, and stationarity, we combine
surrogates with a nonlinear prediction error, a nonlinear interdependence measure, and …

Networks represent relationships between entities in many complex systems, spanning from
online social interactions to biological cell development and brain connectivity. In many …

Measuring neuronal activity with electrophysiological methods may be useful in detecting
neurological dysfunctions, such as mild traumatic brain injury (mTBI). This approach may be …

Many natural and man-made complex dynamical systems can be represented by networks
with vertices representing system units and edges the coupling between vertices. If edges of …

Background Previous neuroimaging studies of obsessive-compulsive disorder (OCD) have
reported both baseline functional alterations and pharmacological changes in localized …

Macroscopic brain networks have been shown to display several properties of an efficient
communication architecture. In light of global communication, the formation of a densely …