Complex network analysis of brain functional connectivity under a multi-step cognitive task

  • Shi Min Cai
  • , Wei Chen
  • , Dong Bai Liu
  • , Ming Tang
  • , Xun Chen*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

Functional brain network has been widely studied to understand the relationship between brain organization and behavior. In this paper, we aim to explore the functional connectivity of brain network under a multi-step cognitive task involving consecutive behaviors, and further understand the effect of behaviors on the brain organization. The functional brain networks are constructed based on a high spatial and temporal resolution fMRI dataset and analyzed via complex network based approach. We find that at voxel level the functional brain network shows robust small-worldness and scale-free characteristics, while its assortativity and rich-club organization are slightly restricted to the order of behaviors performed. More interestingly, the functional connectivity of brain network in activated ROIs strongly correlates with behaviors and is obviously restricted to the order of behaviors performed. These empirical results suggest that the brain organization has the generic properties of small-worldness and scale-free characteristics, and its diverse functional connectivity emerging from activated ROIs is strongly driven by these behavioral activities via the plasticity of brain.

Original languageEnglish
Pages (from-to)663-671
Number of pages9
JournalPhysica A: Statistical Mechanics and its Applications
Volume466
DOIs
StatePublished - 15 Jan 2017
Externally publishedYes

Keywords

  • Behavioral activity
  • Brain network
  • Complex network theory
  • Functional connectivity
  • fMRI

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