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

Details

Serval ID
serval:BIB_D5E32C3636F6
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Path ensembles and a tradeoff between communication efficiency and resilience in the human connectome.
Journal
Brain structure & function
Author(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
Publication state
Published
Issued date
01/2017
Peer-reviewed
Oui
Volume
222
Number
1
Pages
603-618
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
Abstract
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
Create date
04/07/2016 9:44
Last modification date
20/08/2019 16:55
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