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 language | English |
|---|---|
| Article number | 118 |
| Journal | Frontiers in Computational Neuroscience |
| Volume | 8 |
| Issue number | SEP |
| DOIs | |
| Publication status | Published - 24 Sept 2014 |
| Externally published | Yes |
Keywords
- Bayesian network (BN)
- Default mode network (DMN)
- Effective connectivity (EC)
- Functional connectivity (FC)
- Functional magnetic resonance imaging (fMRI)
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