  Connectomics and network neuroscience offer quantitative scientific
frameworks for modeling and analyzing networks of structurally and functionally
interacting neurons, neuronal populations, and macroscopic brain areas. This
shift in perspective and emphasis on distributed brain function has provided
fundamental insight into the role played by the brain's network architecture in
cognition, disease, development, and aging. In this chapter, we review the core
concepts of human connectomics at the macroscale. From the construction of
networks using functional and diffusion MRI data, to their subsequent analysis
using methods from network neuroscience, this review highlights key findings,
commonly-used methodologies, and discusses several emerging frontiers in
connectomics.
