The human brain is a complex, interconnected network par excellence. Accurate and
informative mapping of this human connectome has become a central goal of neuroscience …

Connectivity is fundamental for understanding the nature of brain function. The intricate web
of synaptic connections among neurons is critically important for shaping neural responses …

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

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 …

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

Human brain connectivity is complex. Graph-theory-based analysis has become a powerful
and popular approach for analyzing brain imaging data, largely because of its potential to …

The human connectome refers to a map of the brain's structural connections, rendered as a
connection matrix or network. This article attempts to trace some of the historical origins of …

Fundamentals of Brain Network Analysis is a comprehensive and accessible introduction to
methods for unraveling the extraordinary complexity of neuronal connectivity. From the …

In recent years, the application of network analysis to neuroimaging data has provided
useful insights about the brain's functional and structural organization in both health and …

Figure 1| From multi-modal connectivity data to integrated connectomes. Image panels
illustrating recent progress, selected and modified from contributions to the Research Topic …