Network Organization of Information Process in Young Adults’ Brain

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 215)


In order to characterize non-random organization patterns of information process in the brain, we combine complex network analysis and resting-state functional magnetic resonance imaging to investigate brain activity derived from young adults, and then extract the tree layout and module structure of whole-brain network. These network organizations may be associated with the emergence of complex dynamics that supports the brain’s moment-to-moment responses to the external world and widen understanding potentially biological mechanisms of brain function.


Brain networks Maximum spanning tree Modularity Hubs 



The authors thank the Institute of Neuroinformatics staffs for assistance with data collection. This work was supported by National Natural Science Foundation of China 60971096, 2012CB518200.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.Institute of NeuroinformaticsDalian University of TechnologyDalianChina
  2. 2.Department of PsychologyTexas Tech UniversityTXUSA

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