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*

*此作品的通讯作者

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摘要

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.

源语言英语
文章编号118
期刊Frontiers in Computational Neuroscience
8
SEP
DOI
出版状态已出版 - 24 9月 2014
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Wu, X., Yu, X., Yao, L., & Li, R. (2014). Bayesian network analysis revealed the connectivity difference of the default mode network from the resting-state to task-state. Frontiers in Computational Neuroscience, 8(SEP), 文章 118. https://doi.org/10.3389/fncom.2014.00118