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White Matter Abnormalities in Major Depression: A Tract-Based Spatial Statistics and Rumination Study

Overview of attention for article published in PLOS ONE, May 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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

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1 blog
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12 X users

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96 Mendeley
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Title
White Matter Abnormalities in Major Depression: A Tract-Based Spatial Statistics and Rumination Study
Published in
PLOS ONE, May 2012
DOI 10.1371/journal.pone.0037561
Pubmed ID
Authors

Nianming Zuo, Jiliang Fang, Xueyu Lv, Yuan Zhou, Yang Hong, Tao Li, Haibing Tong, Xiaoling Wang, Weidong Wang, Tianzi Jiang

Abstract

Increasing evidence indicates that major depressive disorder (MDD) is usually accompanied by altered white matter in the prefrontal cortex, the parietal lobe and the limbic system. As a behavioral abnormity of MDD, rumination has been believed to be a substantial indicator of the mental state of the depressive state. So far, however, no report that we are aware of has evaluated the relationship between white matter alterations and the ruminative state. In this study, we first explored the altered white matter using a tract-based spatial statistics (TBSS) method based on diffusion tensor imaging of 19 healthy and 16 depressive subjects. We then investigated correlations between the altered white matter microstructure in the identified altered regions and the severity of ruminations measured by the ruminative response scale. Our results demonstrated altered white matter microstructure in circuits connecting the prefrontal lobe, the parietal lobe and the limbic system (p<0.005, uncorrected), findings which support previous research. More importantly, the result also indicated that a greater alteration in the white matter is associated with a more ruminative state (p<0.05, Bonferroni corrected). The detected abnormalities in the white matter should be interpreted cautiously because of the small sample size in this study. This finding supports the psychometric significance of white matter deficits in MDD.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
China 1 1%
Peru 1 1%
Australia 1 1%
Unknown 91 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 33%
Researcher 12 13%
Student > Master 11 11%
Student > Bachelor 8 8%
Student > Doctoral Student 5 5%
Other 15 16%
Unknown 13 14%
Readers by discipline Count As %
Psychology 27 28%
Medicine and Dentistry 15 16%
Neuroscience 14 15%
Agricultural and Biological Sciences 11 11%
Engineering 3 3%
Other 8 8%
Unknown 18 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 16 June 2015.
All research outputs
#1,647,820
of 22,665,794 outputs
Outputs from PLOS ONE
#21,354
of 193,511 outputs
Outputs of similar age
#10,579
of 165,091 outputs
Outputs of similar age from PLOS ONE
#348
of 3,748 outputs
Altmetric has tracked 22,665,794 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 193,511 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done well, scoring higher than 88% 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 165,091 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 93% of its contemporaries.
We're also able to compare this research output to 3,748 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.