Comparisons of Default Mode Network Connectivity between Resting and Task-State
Functional neuroimaging studies have converged to define a default mode network(DMN)in the brain.There are amount of studies that investigated the anatomical and functional connectivity of the network.Here,we used Bayesian network(BN)learning method to construct the directed effective connectivity model of the DMN,and compared the organization pattern and connection characteristics of brain regions within the network under both resting-state and task-state.The results showed that the organization structure of DMN was basically stable no matter in the resting-state or the task-state.However,the interactions between DMN regions have changed significantly from the resting-state to the task-state condition,suggesting a different working mechanism of the network between the two different states.
Default mode network (DMN) Effective connectivity (EC) Bayesian network (BN) functional magnetic resonance imaging (fMRI)
Xinyu Yu Rui Li Li Yao Xia Wu
College of Information Science and Technology,Beijing Normal University,Beijing,China,100875;State K Center on Aging Psychology,Key Laboratory of Mental Health,Institute of Psychology,Chinese Academy o College of Information Science and Technology,Beijing Normal University,Beijing,China,100875;State K
国际会议
The 2014 ICME International Conference on Complex Medical Engineering (CME2014)ICME复合医学工程国际会议
台北
英文
8-12,42
2014-06-26（万方平台首次上网日期，不代表论文的发表时间）