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 …

Many complex networks have a small-world topology characterized by dense local
clustering or cliquishness of connections between neighboring nodes yet a short path length …

One of the central questions in neuroscience is how communication in the brain is organized
under normal conditions and how this architecture breaks down in neurological disease. It …

The brain is naturally considered as a network of interacting elements which, when
functioning properly, produces an enormous range of dynamic, adaptable behavior …

Quantitative descriptions of network structure can provide fundamental insights into the
function of interconnected complex systems. Small-world structure, diagnosed by high local …

Since the discovery of small-world and scale-free networks the study of complex systems
from a network perspective has taken an enormous flight. In recent years many important …

The success of new scientific areas can be assessed by their potential in contributing to new
theoretical approaches and in applications to real-world problems. Complex networks have …

Considering the brain as a complex network of interacting dynamical systems offers new
insights into higher level brain processes such as memory, planning, and abstract reasoning …

OBJECTIVE: Neuronal networks with a so-called 'small-world'topography (characterized by
strong clustering in combination with short path lengths) are known to facilitate …

We assess electrical brain dynamics before, during, and after 100 human epileptic seizures
with different anatomical onset locations by statistical and spectral properties of functionally …