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The Default Mode Network and Recurrent Depression: A Neurobiological Model of Cognitive Risk Factors

Overview of attention for article published in Neuropsychology Review, May 2012
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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 (88th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

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1 news outlet
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2 X users

Citations

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213 Dimensions

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384 Mendeley
Title
The Default Mode Network and Recurrent Depression: A Neurobiological Model of Cognitive Risk Factors
Published in
Neuropsychology Review, May 2012
DOI 10.1007/s11065-012-9199-9
Pubmed ID
Authors

Igor Marchetti, Ernst H. W. Koster, Edmund J. Sonuga-Barke, Rudi De Raedt

Abstract

A neurobiological account of cognitive vulnerability for recurrent depression is presented based on recent developments of resting state neural networks. We propose that alterations in the interplay between task positive (TP) and task negative (TN) elements of the Default Mode Network (DMN) act as a neurobiological risk factor for recurrent depression mediated by cognitive mechanisms. In the framework, depression is characterized by an imbalance between TN-TP components leading to an overpowering of TP by TN activity. The TN-TP imbalance is associated with a dysfunctional internally-focused cognitive style as well as a failure to attenuate TN activity in the transition from rest to task. Thus we propose the TN-TP imbalance as overarching neural mechanism involved in crucial cognitive risk factors for recurrent depression, namely rumination, impaired attentional control, and cognitive reactivity. During remission the TN-TP imbalance persists predisposing to vulnerability of recurrent depression. Empirical data to support this model is reviewed. Finally, we specify how this framework can guide future research efforts.

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 384 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 1%
Netherlands 2 <1%
United Kingdom 2 <1%
Japan 2 <1%
Canada 2 <1%
Austria 1 <1%
Australia 1 <1%
Uruguay 1 <1%
Chile 1 <1%
Other 1 <1%
Unknown 366 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 85 22%
Researcher 54 14%
Student > Master 48 13%
Student > Bachelor 40 10%
Student > Doctoral Student 21 5%
Other 74 19%
Unknown 62 16%
Readers by discipline Count As %
Psychology 146 38%
Neuroscience 57 15%
Medicine and Dentistry 45 12%
Agricultural and Biological Sciences 22 6%
Engineering 5 1%
Other 26 7%
Unknown 83 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 June 2020.
All research outputs
#2,870,452
of 22,758,963 outputs
Outputs from Neuropsychology Review
#105
of 453 outputs
Outputs of similar age
#19,314
of 163,636 outputs
Outputs of similar age from Neuropsychology Review
#3
of 11 outputs
Altmetric has tracked 22,758,963 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 453 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has done well, scoring higher than 76% 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 163,636 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.