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

• Main Authors: Xia eWu, Xinyu eYu, Li eYao, Rui eLi
• Format: Article
• Language: English
• Published: Frontiers Media S.A. 2014-09-01
• Series: Frontiers in Computational Neuroscience
• Subjects: Default mode network (DMN) 1; effective connectivity (EC) 2; functional connectivity (FC) 3; Bayesian network (BN) 4; functional magnetic resonance imaging (fMRI) 5
• Online Access: http://journal.frontiersin.org/Journal/10.3389/fncom.2014.00118/full
• ISSN: 1662-5188

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 changed significantly from the resting-state to task-state condition. These 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.