Recent advances in imaging and tracing technology provide increasingly detailed
reconstructions of brain connectomes. Concomitant analytic advances enable rigorous …

Large-scale white matter pathways crisscrossing the cortex create a complex pattern of
connectivity that underlies human cognitive function. Generative mechanisms for this …

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

The brain is a network of interleaved neural circuits. In modern connectomics, brain
connectivity is typically encoded as a network of nodes and edges, abstracting away the rich …

Connectomes with high sensitivity and high specificity are unattainable with current axonal
fiber reconstruction methods, particularly at the macro-scale afforded by magnetic …

Network neuroscience employs graph theory to investigate the human brain as a complex
network, and derive generalizable insights about the brain's network properties. However …

Network theory provides an intuitively appealing framework for studying relationships
among interconnected brain mechanisms and their relevance to behaviour. As the space of …

Graph theory is now becoming a standard tool in system‐level neuroscience. However,
endowing observed brain anatomy and dynamics with a complex network representation …

Network models describe the brain as sets of nodes and edges that represent its distributed
organization. So far, most discoveries in network neuroscience have prioritized insights that …

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 …