title: Graphs of brain networks.
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.
authors.affiliation: Stanford University School of Medicine, Stanford, California.
authors.forename: Natalie M
authors.initials: NM
authors.lastname: Zahr
mesh_terms: D000818:Animals; D001921:Brain / Q000187:drug effects*; D002492:Central Nervous System Depressants / Q000494:pharmacology*; D000431:Ethanol / Q000494:pharmacology*; D008297:Male; D009415:Nerve Net / Q000187:drug effects*
chemical_list: D002492:Central Nervous System Depressants; D000431:Ethanol
keywords: Graph Theory; Network Science; Nonhuman Primate; Resting State; fMRI