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 …

Our brain is a network. It consists of spatially distributed, but functionally linked regions that
continuously share information with each other. Interestingly, recent advances in the …

Background: Analysis of the human connectome using functional magnetic resonance
imaging (fMRI) started in the mid-1990s and attracted increasing attention in attempts to …

Synchronization processes in populations of locally interacting elements are the focus of
intense research in physical, biological, chemical, technological and social systems. The …

Brain networks are increasingly understood as one of a large class of information
processing systems that share important organizational principles in common, including the …

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 …

Modelling the human brain as a complex network has provided a powerful mathematical
framework to characterize the structural and functional architectures of the brain. In the past …

Brain regions are not independent. They are interconnected by white matter tracts, together
forming one integrative complex network. The topology of this network is crucial for efficient …

Memorization is an essential functionality that enables today's machine learning algorithms
to provide a high quality of learning and reasoning for each prediction. Memorization gives …

Background Local network connectivity disruptions in Alzheimer's disease patients have
been found using graph analysis in BOLD fMRI. Other studies using MEG and cortical …