Bayesian network analysis revealed the connectivity difference of the default mode network from the resting-state to task-state

  • Xia Wu
  • , Xinyu Yu
  • , L. Yao
  • , Rui Li*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Functional magnetic resonance imaging (fMRI) studies have converged to reveal the default mode network (DMN), a constellation of regions that display co-activation during resting-state but co-deactivation during attention-demanding tasks in the brain. Here, we employed a Bayesian network (BN) analysis method to construct a directed effective connectivity model of the DMN and compared the organizational architecture and interregional directed connections under both resting-state and task-state. The analysis results indicated that the DMN was consistently organized into two closely interacting subsystems in both resting-state and task-state. The directed connections between DMN regions, however, changed significantly from the resting-state to task-state condition. The results suggest that the DMN intrinsically maintains a relatively stable structure whether at rest or performing tasks but has different information processing mechanisms under varied states.

Original languageEnglish
Article number118
JournalFrontiers in Computational Neuroscience
Volume8
Issue numberSEP
DOIs
Publication statusPublished - 24 Sept 2014
Externally publishedYes

Keywords

  • Bayesian network (BN)
  • Default mode network (DMN)
  • Effective connectivity (EC)
  • Functional connectivity (FC)
  • Functional magnetic resonance imaging (fMRI)

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