Identification and Classification of Hubs in Brain Networks
Indiana University Bloomington · Radboud University Medical Center · +2 more institutions
Abstract
Brain regions in the mammalian cerebral cortex are linked by a complex network of fiber bundles. These inter-regional networks have previously been analyzed in terms of their node degree, structural motif, path length and clustering coefficient distributions. In this paper we focus on the identification and classification of hub regions, which are thought to play pivotal roles in the coordination of information flow. We identify hubs and characterize their network contributions by examining motif fingerprints and centrality indices for all regions within the cerebral cortices of both the cat and the macaque. Motif fingerprints capture the statistics of local connection patterns, while measures of centrality…
Citation impact
- FWCI
- 13.04
- Percentile
- 100%
- References
- 76
Authors
3Topics & keywords
- Betweenness centrality
- Centrality
- Motif (music)
- Macaque
- Network motif
- Clustering coefficient
- Network analysis
- Computer science