Entropy is a powerful tool for quantification of the brain function and its information
processing capacity. This is evident in its broad domain of applications that range from …

Graph theoretical analysis of neuroimaging data is growing rapidly and could potentially
provide a relatively simple but powerful quantitative framework to describe and compare …

The human brain is a large-scale integrated network in the functional and structural domain.
Graph theoretical analysis provides a novel framework for analysing such complex …

The mature brain is organized into distinct neural networks defined by regions
demonstrating correlated activity during task performance as well as rest. While research …

Since the mid 1990s, the intriguing dynamics of the brain at rest has been attracting a
growing body of research in neuroscience. Neuroimaging studies have revealed distinct …

Over the past decade, scientific interest in the properties of large-scale spontaneous neural
dynamics has intensified. Concurrently, novel technologies have been developed for …

The large-scale organization of the brain has features of complex networks that can be
quantified using network measures from graph theory. However, many network measures …

Brain networks with energy-efficient hubs might support the high cognitive performance of
humans and a better understanding of their organization is likely of relevance for studying …

In recent years there has been a shift in focus from the study of local, mostly task-related
activation to the exploration of the organization and functioning of large-scale structural and …

Both resting state functional magnetic resonance imaging (fcMRI) and transcranial magnetic
stimulation (TMS) are increasingly popular techniques that can be used to non-invasively …