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Graphs of Brain Networks
Author(s) -
Zahr Natalie M.
Publication year - 2013
Publication title -
alcoholism: clinical and experimental research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.267
H-Index - 153
eISSN - 1530-0277
pISSN - 0145-6008
DOI - 10.1111/acer.12293
Subject(s) - computer science , combinatorics , mathematics
Background This commentary discusses the study by T elesford and colleagues in which they use network science to analyze resting state functional magnetic resonance imaging (rsf MRI ) 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 rsf MRI 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 rsf MRI may promote a better understanding of the brain as a complex system.

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