Electroencephalogram (EEG) and magnetoencephalogram (MEG) recordings during resting
state are increasingly used to study functional connectivity and network topology. Moreover …

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 …

High-throughput experimental methods in neuroscience have led to an explosion of
techniques for measuring complex interactions and multi-dimensional patterns. However …

The brain is increasingly studied with graph theoretical approaches, which can be used to
characterize network topology. However, studies on brain networks have reported …

Normal brain functioning is presumed to depend upon interacting regions within large-scale
neuronal networks. Increasing evidence exists that interictal network alterations in focal …

Abnormalities of the brain network organization in focal epilepsy have been extensively
quantified. However, the extent and directionality of abnormalities are highly variable and …

In recent decades, a number of centrality metrics describing network properties of nodes
have been proposed to rank the importance of nodes. In order to understand the correlations …

Metros (heavy rail transit systems) are integral parts of urban transportation systems.
Failures in their operations can have serious impacts on urban mobility, and measuring their …

Determining a set of “important” nodes in a network constitutes a basic endeavor in network
science. Inspired by electrical flows in a resistor network, we propose the best conducting …

Medial temporal lobe (MTL) subregions play integral roles in memory function and are
differentially affected in various neurological and psychiatric disorders. The ability to …