Despite substantial recent progress, our understanding of the principles and mechanisms
underlying complex brain function and cognition remains incomplete. Network neuroscience …

Virtually all domains of cognitive function require the integration of distributed neural activity.
Network analysis of human brain connectivity has consistently identified sets of regions that …

Brains comprise complex networks of neurons and connections, similar to the nodes and
edges of artificial networks. Network analysis applied to the wiring diagrams of brains can …

Spontaneous fluctuations in activity in different parts of the brain can be used to study
functional brain networks. We review the use of resting-state functional MRI (rfMRI) for the …

The human brain is organized into large-scale functional modules that have been shown to
evolve in childhood and adolescence. However, it remains unknown whether the underlying …

Tractography based on diffusion MRI offers the promise of characterizing many aspects of
long-distance connectivity in the brain, but requires quantitative validation to assess its …

We introduce comparative connectomics, the quantitative study of cross-species
commonalities and variations in brain network topology that aims to discover general …

To understand the emergence of human higher cognition, we must understand its biological
substrate—the cerebral cortex, which considers itself the crowning achievement of evolution …

The confluence of new approaches in recording patterns of brain connectivity and
quantitative analytic tools from network science has opened new avenues toward …

Comparative studies of the brain in mammals suggest that there are general architectural
principles governing its growth and evolutionary development. We are beginning to …