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Functional connectivity of default mode network components: Correlation, anticorrelation, and causality

Overview of attention for article published in Human Brain Mapping, January 2009
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
2 X users
patent
4 patents
facebook
1 Facebook page
video
1 YouTube creator

Readers on

mendeley
1253 Mendeley
citeulike
13 CiteULike
connotea
2 Connotea
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Article details
Title
Functional connectivity of default mode network components: Correlation, anticorrelation, and causality
Published in
Human Brain Mapping, January 2009
DOI 10.1002/hbm.20531
Pubmed ID
Authors
Abstract

The default mode network (DMN), based in ventromedial prefrontal cortex (vmPFC) and posterior cingulate cortex (PCC), exhibits higher metabolic activity at rest than during performance of externally oriented cognitive tasks. Recent studies have suggested that competitive relationships between the DMN and various task-positive networks involved in task performance are intrinsically represented in the brain in the form of strong negative correlations (anticorrelations) between spontaneous fluctuations in these networks. Most neuroimaging studies characterize the DMN as a homogenous network, thus few have examined the differential contributions of DMN components to such competitive relationships. Here, we examined functional differentiation within the DMN, with an emphasis on understanding competitive relationships between this and other networks. We used a seed correlation approach on resting-state data to assess differences in functional connectivity between these two regions and their anticorrelated networks. While the positively correlated networks for the vmPFC and PCC seeds largely overlapped, the anticorrelated networks for each showed striking differences. Activity in vmPFC negatively predicted activity in parietal visual spatial and temporal attention networks, whereas activity in PCC negatively predicted activity in prefrontal-based motor control circuits. Granger causality analyses suggest that vmPFC and PCC exert greater influence on their anticorrelated networks than the other way around, suggesting that these two default mode nodes may directly modulate activity in task-positive networks. Thus, the two major nodes comprising the DMN are differentiated with respect to the specific brain systems with which they interact, suggesting greater heterogeneity within this network than is commonly appreciated.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 1,253 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 24 2%
United Kingdom 11 <1%
Germany 7 <1%
China 5 <1%
Brazil 4 <1%
Italy 4 <1%
Canada 3 <1%
Switzerland 3 <1%
Austria 2 <1%
Other 17 1%
Unknown 1173 94%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 326 26%
Researcher 240 19%
Student > Master 142 11%
Student > Bachelor 83 7%
Student > Doctoral Student 77 6%
Other 211 17%
Unknown 174 14%
Readers by discipline
Readers by discipline Count As %
Psychology 301 24%
Neuroscience 221 18%
Medicine and Dentistry 166 13%
Agricultural and Biological Sciences 116 9%
Engineering 57 5%
Other 121 10%
Unknown 271 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 25 August 2026.
All research outputs
#2,095,898
of 28,829,220 outputs
Outputs from Human Brain Mapping
#423
of 4,635 outputs
Outputs of similar age
#8,893
of 206,087 outputs
Outputs of similar age from Human Brain Mapping
#5
of 37 outputs
Altmetric has tracked 28,829,220 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,635 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.0. This one has done particularly well, scoring higher than 90% 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 206,087 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.