The brain's functional network exhibits many features facilitating functional specialization,
integration, and robustness to attack. Using graph theory to characterize brain networks …

Resting‐state functional connectivity profiles have been increasingly shown to be important
endophenotypes that are tightly linked to human cognitive functions and psychiatric …

Graph-theoretic metrics derived from neuroimaging data have been heralded as powerful
tools for uncovering neural mechanisms of psychological traits, psychiatric disorders, and …

The identification of phenotypic associations in high-dimensional brain connectivity data
represents the next frontier in the neuroimaging connectomics era. Exploration of brain …

Brain graphs provide a useful way to computationally model the network structure of the
connectome, and this has led to increasing interest in the use of graph theory to quantitate …

Introduction Connectome analysis of the human brain's structural and functional architecture
provides a unique opportunity to understand the organization of the brain's functional …

In the past decade, imaging genetics has evolved into a highly successful neuroimaging
discipline with a variety of sophisticated research tools. To date, several neural systems …

Detailed mapping of genetic and environmental influences on the functional connectome is
a crucial step toward developing intermediate phenotypes between genes and clinical …

Recent progress in resting-state neuroimaging demonstrates that the brain exhibits highly
individualized patterns of functional connectivity—a “connectotype.” How these …

Pleiotropy occurs when a genetic variant influences more than one trait. This is a key
property of the genomic architecture of psychiatric disorders and has been observed for rare …