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Neural mechanisms of subclinical depressive symptoms in women: a pilot functional brain imaging study

Overview of attention for article published in BMC Psychiatry, September 2012
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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1 news outlet
blogs
1 blog
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2 X users

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13 Dimensions

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64 Mendeley
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Title
Neural mechanisms of subclinical depressive symptoms in women: a pilot functional brain imaging study
Published in
BMC Psychiatry, September 2012
DOI 10.1186/1471-244x-12-152
Pubmed ID
Authors

Jennifer N Felder, Moria J Smoski, Rachel V Kozink, Brett Froeliger, Joseph McClernon, Joshua Bizzell, Christopher Petty, Gabriel S Dichter

Abstract

Studies of individuals who do not meet criteria for major depressive disorder (MDD) but with subclinical levels of depressive symptoms may aid in the identification of neurofunctional abnormalities that possibly precede and predict the development of MDD. The purpose of this study was to evaluate relations between subclinical levels of depressive symptoms and neural activation patterns during tasks previously shown to differentiate individuals with and without MDD. Functional magnetic resonance imaging (fMRI) was used to assess neural activations during active emotion regulation, a resting state scan, and reward processing. Participants were twelve females with a range of depressive symptoms who did not meet criteria for MDD. Increased depressive symptom severity predicted (1) decreased left midfrontal gyrus activation during reappraisal of sad stimuli; (2) increased right midfrontal gyrus activation during distraction from sad stimuli; (3) increased functional connectivity between a precuneus seed region and left orbitofrontal cortex during a resting state scan; and (4) increased paracingulate activation during non-win outcomes during a reward-processing task. These pilot data shed light on relations between subclinical levels of depressive symptoms in the absence of a formal MDD diagnosis and neural activation patterns. Future studies will be needed to test the utility of these activation patterns for predicting MDD onset in at-risk samples.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Thailand 1 2%
Unknown 61 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 19%
Student > Master 12 19%
Student > Doctoral Student 8 13%
Researcher 7 11%
Student > Bachelor 4 6%
Other 13 20%
Unknown 8 13%
Readers by discipline Count As %
Psychology 27 42%
Medicine and Dentistry 9 14%
Neuroscience 7 11%
Agricultural and Biological Sciences 6 9%
Social Sciences 2 3%
Other 3 5%
Unknown 10 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 10 July 2023.
All research outputs
#2,125,720
of 24,049,457 outputs
Outputs from BMC Psychiatry
#773
of 5,039 outputs
Outputs of similar age
#13,852
of 173,267 outputs
Outputs of similar age from BMC Psychiatry
#15
of 82 outputs
Altmetric has tracked 24,049,457 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,039 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.9. This one has done well, scoring higher than 84% 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 173,267 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 92% of its contemporaries.
We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.