Abstract
Network neuroscience has emphasized the connectional properties of neural elements – cells, populations, and regions. This has come at the expense of the anatomical and functional connections that link these elements to one another. A new perspective – namely one that emphasizes 'edges' – may prove fruitful in addressing outstanding questions in network neuroscience. We highlight one recently proposed 'edge-centric' method and review its current applications, merits, and limitations. We also seek to establish conceptual and mathematical links between this method and previously proposed approaches in the network science and neuroimaging literature. We conclude by presenting several avenues for future work to extend and refine existing edge-centric analysis.
Original language | English (US) |
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Pages (from-to) | 1068-1084 |
Number of pages | 17 |
Journal | Trends in Cognitive Sciences |
Volume | 27 |
Issue number | 11 |
DOIs | |
State | Published - Nov 2023 |
Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2023 The Author(s)
Keywords
- connectome
- edge-centric network science
- higher-order networks
- network neuroscience
- overlapping community structure
- time-varying functional connectivity
PubMed: MeSH publication types
- Journal Article
- Review