title: Investigation of global and local network properties of music perception with culturally different styles of music.
abstract: BACKGROUND
  Graph theoretical analysis has recently become a popular research tool in neuroscience, however, there have been very few studies on brain responses to music perception, especially when culturally different styles of music are involved.
  
  
  METHODS
  Electroencephalograms were recorded from ten subjects listening to Chinese traditional music, light music and western classical music. For event-related potentials, phase coherence was calculated in the alpha band and then constructed into correlation matrices. Clustering coefficients and characteristic path lengths were evaluated for global properties, while clustering coefficients and efficiency were assessed for local network properties.
  
  
  RESULTS
  Perception of light music and western classical music manifested small-world network properties, especially with a relatively low proportion of weights of correlation matrices. For local analysis, efficiency was more discernible than clustering coefficient. Nevertheless, there was no significant discrimination between Chinese traditional and western classical music perception.
  
  
  CONCLUSIONS
  Perception of different styles of music introduces different network properties, both globally and locally. Research into both global and local network properties has been carried out in other areas; however, this is a preliminary investigation aimed at suggesting a possible new approach to brain network properties in music perception.
authors.affiliation: Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China; Research Institute of Beihang University in Shenzhen, Shenzhen 518057, China.
authors.forename: Yan
authors.initials: Y
authors.lastname: Li
authors.affiliation: Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China.
authors.forename: Xue
authors.initials: X
authors.lastname: Rui
authors.affiliation: Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China.
authors.forename: Shuyu
authors.initials: S
authors.lastname: Li
authors.affiliation: Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China; State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing 100191, China. Electronic address: pufangbme@buaa.edu.cn.
authors.forename: Fang
authors.initials: F
authors.lastname: Pu
mesh_terms: D001307:Auditory Perception / Q000502:physiology*; D001921:Brain / Q000502:physiology*; D063132:Connectome / Q000379:methods*; D003466:Cultural Characteristics; D004569:Electroencephalography / Q000379:methods*; D006801:Humans; D008297:Male; D009146:Music; D009415:Nerve Net / Q000502:physiology*; D055815:Young Adult
keywords: Brain response; Characteristic path length; Clustering coefficient; Cultural style; EEG; Graph theoretical analysis; Music perception