Resting-brain functional connectivity predicted by analytic measures of network communication.

Details

Serval ID
serval:BIB_9E9F704AAB59
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Resting-brain functional connectivity predicted by analytic measures of network communication.
Journal
Proceedings of the National Academy of Sciences of the United States of America
Author(s)
Goñi J., van den Heuvel M.P., Avena-Koenigsberger A., Velez de Mendizabal N., Betzel R.F., Griffa A., Hagmann P., Corominas-Murtra B., Thiran J.P., Sporns O.
ISSN
1091-6490 (Electronic)
ISSN-L
0027-8424
Publication state
Published
Issued date
2014
Volume
111
Number
2
Pages
833-838
Language
english
Notes
Publication types: Journal ArticlePublication Status: ppublish
Abstract
The complex relationship between structural and functional connectivity, as measured by noninvasive imaging of the human brain, poses many unresolved challenges and open questions. Here, we apply analytic measures of network communication to the structural connectivity of the human brain and explore the capacity of these measures to predict resting-state functional connectivity across three independently acquired datasets. We focus on the layout of shortest paths across the network and on two communication measures-search information and path transitivity-which account for how these paths are embedded in the rest of the network. Search information is an existing measure of information needed to access or trace shortest paths; we introduce path transitivity to measure the density of local detours along the shortest path. We find that both search information and path transitivity predict the strength of functional connectivity among both connected and unconnected node pairs. They do so at levels that match or significantly exceed path length measures, Euclidean distance, as well as computational models of neural dynamics. This capacity suggests that dynamic couplings due to interactions among neural elements in brain networks are substantially influenced by the broader network context adjacent to the shortest communication pathways.
Pubmed
Web of science
Open Access
Yes
Create date
18/02/2014 13:34
Last modification date
20/08/2019 16:04
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