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Small-world directed networks in the human brain: multivariate Granger causality analysis of resting-state fMRI.

Abstract：

:Small-world organization is known to be a robust and consistent network architecture, and is a hallmark of the structurally and functionally connected human brain. However, it remains unknown if the same organization is present in directed influence brain networks whose connectivity is inferred by the transfer of information from one node to another. Here, we aimed to reveal the network architecture of the directed influence brain network using multivariate Granger causality analysis and graph theory on resting-state fMRI recordings. We found that some regions acted as pivotal hubs, either being influenced by or influencing other regions, and thus could be considered as information convergence regions. In addition, we observed that an exponentially truncated power law fits the topological distribution for the degree of total incoming and outgoing connectivity. Furthermore, we also found that this directed network has a modular structure. More importantly, according to our data, we suggest that the human brain directed influence network could have a prominent small-world topological property.

journal_name

Neuroimage

journal_title

NeuroImage

authors

Liao W,Ding J,Marinazzo D,Xu Q,Wang Z,Yuan C,Zhang Z,Lu G,Chen H

doi

10.1016/j.neuroimage.2010.11.007

subject

Has Abstract

pub_date

2011-02-14 00:00:00

pages

2683-94

issue

4

eissn

1053-8119

issn

1095-9572

pii

S1053-8119(10)01437-0

journal_volume

54

pub_type

杂志文章

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