Abstract
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.
| Original language | English (US) |
|---|---|
| Title of host publication | Connectomic Deep Brain Stimulation |
| Publisher | Elsevier |
| Pages | 25-58 |
| Number of pages | 34 |
| ISBN (Electronic) | 9780128218617 |
| DOIs | |
| State | Published - Jan 1 2021 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2022 Elsevier Inc. All rights reserved.
Keywords
- Connectome
- Functional connectivity
- Graph theory
- Modularity
- Network neuroscience
- Structural connectivity