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Comment
. 2013 Nov;37(11):1813-5.
doi: 10.1111/acer.12293.

Graphs of brain networks

Natalie M Zahr  1
Affiliations
Comment

Graphs of brain networks

Natalie M Zahr. Alcohol Clin Exp Res. 2013 Nov.

Abstract

Background: This commentary discusses the study by Telesford and colleagues in which they use network science to analyze resting state functional magnetic resonance imaging (rsfMRI) data collected in nonhuman primates.

Methods: Their findings using a network science approach in nonhuman primates are considered in the context of results from human studies.

Results: The network science approach to analyzing rsfMRI data from nonhuman primates yields results that are, for the most part, similar to results using alternative analyses methods in human studies.

Conclusions: Network science to analyze rsfMRI may promote a better understanding of the brain as a complex system.

Keywords: Graph Theory; Network Science; Nonhuman Primate; Resting State; fMRI.

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Figures

Fig. 1.
Fig. 1.
An exemplary graph where the numbered circles represent nodes and the lines connecting them represent edges.
See this image and copyright information in PMC

Comment on

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