Research › QEEG, Methods & Mechanisms
Small-World Brain Networks
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Study at a glance
- Area
- QEEG, Methods & Mechanisms
- Study type
- Review & meta-analysis
- Authors
- Bassett DS, Bullmore E
- Journal
- The Neuroscientist
- Year
- 2006
Key findings
- Brain networks show small-world organization: high clustering with short path lengths
- This structure balances efficient information processing against wiring cost
- Small-world measures can be applied to EEG/MEG and fMRI connectivity, including in disease
An accessible introduction to small-world networks, which combine tightly clustered local connections with a few long-range shortcuts, and to why the brain appears to be organized this way. The authors explain how such networks are measured, how they let the brain process information efficiently at low cost, and how the same tools are now applied to EEG, MEG and fMRI connectivity. This is the thinking behind network and connectivity measures in modern QEEG.