Title |
Bayesian network analysis revealed the connectivity difference of the default mode network from the resting-state to task-state
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Published in |
Frontiers in Computational Neuroscience, September 2014
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DOI | 10.3389/fncom.2014.00118 |
Pubmed ID | |
Authors |
Xia Wu, Xinyu Yu, Li Yao, Rui Li |
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. |
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