The human brain is a complex network. An important first step toward understanding the
function of such a network is to map its elements and connections, to create a …

Brain graphs provide a relatively simple and increasingly popular way of modeling the
human brain connectome, using graph theory to abstractly define a nervous system as a set …

Brain connectivity datasets comprise networks of brain regions connected by anatomical
tracts or by functional associations. Complex network analysis—a new multidisciplinary …

Large-scale functional or structural brain connectivity can be modeled as a network, or
graph. This paper presents a statistical approach to identify connections in such a graph that …

The human brain is a complex dynamic system capable of generating a multitude of
oscillatory waves in support of brain function. Using fMRI, we examined the amplitude of …

After a century of false hopes, recent studies have placed the concept of diaschisis at the
centre of the understanding of brain function. Originally, the term 'diaschisis' was coined by …

Whole-brain anatomical connectivity in living humans can be modeled as a network with
diffusion-MRI and tractography. Network nodes are associated with distinct grey-matter …

Resting-state functional magnetic resonance imaging (RFMRI) enables researchers to
monitor fluctuations in the spontaneous brain activities of thousands of regions in the human …

MEG offers dynamic and spectral resolution for resting-state connectivity which is
unavailable in fMRI. However, there are a wide range of available network estimation …

The exciting research regarding graph theoretical analysis of brain connectivity yields truly
integrative and comprehensive descriptions of the structural and functional organization of …