Path ensembles and a tradeoff between communication efficiency and resilience in the human connectome.

Détails

ID Serval
serval:BIB_D5E32C3636F6
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Path ensembles and a tradeoff between communication efficiency and resilience in the human connectome.
Périodique
Brain structure & function
Auteur(s)
Avena-Koenigsberger A., Mišić B., Hawkins R.X., Griffa A., Hagmann P., Goñi J., Sporns O.
ISSN
1863-2661 (Electronic)
ISSN-L
1863-2653
Statut éditorial
Publié
Date de publication
01/2017
Peer-reviewed
Oui
Volume
222
Numéro
1
Pages
603-618
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: ppublish
Résumé
Computational analysis of communication efficiency of brain networks often relies on graph-theoretic measures based on the shortest paths between network nodes. Here, we explore a communication scheme that relaxes the assumption that information travels exclusively through optimally short paths. The scheme assumes that communication between a pair of brain regions may take place through a path ensemble comprising the k-shortest paths between those regions. To explore this approach, we map path ensembles in a set of anatomical brain networks derived from diffusion imaging and tractography. We show that while considering optimally short paths excludes a significant fraction of network connections from participating in communication, considering k-shortest path ensembles allows all connections in the network to contribute. Path ensembles enable us to assess the resilience of communication pathways between brain regions, by measuring the number of alternative, disjoint paths within the ensemble, and to compare generalized measures of path length and betweenness centrality to those that result when considering only the single shortest path between node pairs. Furthermore, we find a significant correlation, indicative of a trade-off, between communication efficiency and resilience of communication pathways in structural brain networks. Finally, we use k-shortest path ensembles to demonstrate hemispherical lateralization of efficiency and resilience.

Pubmed
Web of science
Création de la notice
04/07/2016 9:44
Dernière modification de la notice
20/08/2019 16:55
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