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Bayesian network analysis revealed the connectivity difference of the default mode network from the resting-state to task-state

Overview of attention for article published in Frontiers in Computational Neuroscience, September 2014
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4 X users

Citations

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14 Dimensions

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46 Mendeley
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Title
Bayesian network analysis revealed the connectivity difference of the default mode network from the resting-state to task-state
Published in
Frontiers in Computational Neuroscience, September 2014
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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Argentina 1 2%
Canada 1 2%
Unknown 42 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 35%
Student > Master 8 17%
Researcher 6 13%
Student > Postgraduate 3 7%
Student > Bachelor 2 4%
Other 4 9%
Unknown 7 15%
Readers by discipline Count As %
Neuroscience 12 26%
Agricultural and Biological Sciences 6 13%
Engineering 5 11%
Computer Science 4 9%
Psychology 3 7%
Other 7 15%
Unknown 9 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 July 2020.
All research outputs
#15,758,801
of 25,402,889 outputs
Outputs from Frontiers in Computational Neuroscience
#677
of 1,465 outputs
Outputs of similar age
#137,881
of 263,187 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#17
of 31 outputs
Altmetric has tracked 25,402,889 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,465 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has gotten more attention than average, scoring higher than 50% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 263,187 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.