Bayesian network analysis revealed the connectivity difference of the default mode network from the resting-state to task-state
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) analys...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2014-09-01
|
Series: | Frontiers in Computational Neuroscience |
Subjects: | |
Online Access: | http://journal.frontiersin.org/Journal/10.3389/fncom.2014.00118/full |
_version_ | 1811306452393918464 |
---|---|
author | Xia eWu Xia eWu Xinyu eYu Xinyu eYu Li eYao Li eYao Rui eLi |
author_facet | Xia eWu Xia eWu Xinyu eYu Xinyu eYu Li eYao Li eYao Rui eLi |
author_sort | Xia eWu |
collection | DOAJ |
description | 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. |
first_indexed | 2024-04-13T08:44:44Z |
format | Article |
id | doaj.art-b1511da346f24e30bd6858db08fe9520 |
institution | Directory Open Access Journal |
issn | 1662-5188 |
language | English |
last_indexed | 2024-04-13T08:44:44Z |
publishDate | 2014-09-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Computational Neuroscience |
spelling | doaj.art-b1511da346f24e30bd6858db08fe95202022-12-22T02:53:45ZengFrontiers Media S.A.Frontiers in Computational Neuroscience1662-51882014-09-01810.3389/fncom.2014.00118103385Bayesian network analysis revealed the connectivity difference of the default mode network from the resting-state to task-stateXia eWu0Xia eWu1Xinyu eYu2Xinyu eYu3Li eYao4Li eYao5Rui eLi6College of Information Science and Technology, Beijing Normal UniversityState Key Laboratories of Transducer Technology, Shanghai Institute of Technical Physics, Chinese Academy of SciencesCollege of Information Science and Technology, Beijing Normal UniversityState Key Laboratories of Transducer Technology, Shanghai Institute of Technical Physics, Chinese Academy of SciencesCollege of Information Science and Technology, Beijing Normal UniversityState Key Laboratory of Cognitive Neuroscience and learning, Beijing Normal UniversityCenter on Aging Psychology, Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of SciencesFunctional 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.http://journal.frontiersin.org/Journal/10.3389/fncom.2014.00118/fullDefault mode network (DMN) 1effective connectivity (EC) 2functional connectivity (FC) 3Bayesian network (BN) 4functional magnetic resonance imaging (fMRI) 5 |
spellingShingle | Xia eWu Xia eWu Xinyu eYu Xinyu eYu Li eYao Li eYao Rui eLi Bayesian network analysis revealed the connectivity difference of the default mode network from the resting-state to task-state Frontiers in Computational Neuroscience Default mode network (DMN) 1 effective connectivity (EC) 2 functional connectivity (FC) 3 Bayesian network (BN) 4 functional magnetic resonance imaging (fMRI) 5 |
title | Bayesian network analysis revealed the connectivity difference of the default mode network from the resting-state to task-state |
title_full | Bayesian network analysis revealed the connectivity difference of the default mode network from the resting-state to task-state |
title_fullStr | Bayesian network analysis revealed the connectivity difference of the default mode network from the resting-state to task-state |
title_full_unstemmed | Bayesian network analysis revealed the connectivity difference of the default mode network from the resting-state to task-state |
title_short | Bayesian network analysis revealed the connectivity difference of the default mode network from the resting-state to task-state |
title_sort | bayesian network analysis revealed the connectivity difference of the default mode network from the resting state to task state |
topic | Default mode network (DMN) 1 effective connectivity (EC) 2 functional connectivity (FC) 3 Bayesian network (BN) 4 functional magnetic resonance imaging (fMRI) 5 |
url | http://journal.frontiersin.org/Journal/10.3389/fncom.2014.00118/full |
work_keys_str_mv | AT xiaewu bayesiannetworkanalysisrevealedtheconnectivitydifferenceofthedefaultmodenetworkfromtherestingstatetotaskstate AT xiaewu bayesiannetworkanalysisrevealedtheconnectivitydifferenceofthedefaultmodenetworkfromtherestingstatetotaskstate AT xinyueyu bayesiannetworkanalysisrevealedtheconnectivitydifferenceofthedefaultmodenetworkfromtherestingstatetotaskstate AT xinyueyu bayesiannetworkanalysisrevealedtheconnectivitydifferenceofthedefaultmodenetworkfromtherestingstatetotaskstate AT lieyao bayesiannetworkanalysisrevealedtheconnectivitydifferenceofthedefaultmodenetworkfromtherestingstatetotaskstate AT lieyao bayesiannetworkanalysisrevealedtheconnectivitydifferenceofthedefaultmodenetworkfromtherestingstatetotaskstate AT ruieli bayesiannetworkanalysisrevealedtheconnectivitydifferenceofthedefaultmodenetworkfromtherestingstatetotaskstate |