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Subcortical volumetric abnormalities in bipolar disorder

Overview of attention for article published in Molecular Psychiatry, February 2016
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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)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

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26 X users
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1 peer review site
wikipedia
1 Wikipedia page

Citations

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398 Dimensions

Readers on

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385 Mendeley
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Title
Subcortical volumetric abnormalities in bipolar disorder
Published in
Molecular Psychiatry, February 2016
DOI 10.1038/mp.2015.227
Pubmed ID
Authors

D P Hibar, L T Westlye, T G M van Erp, J Rasmussen, C D Leonardo, J Faskowitz, U K Haukvik, C B Hartberg, N T Doan, I Agartz, A M Dale, O Gruber, B Krämer, S Trost, B Liberg, C Abé, C J Ekman, M Ingvar, M Landén, S C Fears, N B Freimer, C E Bearden, E Sprooten, D C Glahn, G D Pearlson, L Emsell, J Kenney, C Scanlon, C McDonald, D M Cannon, J Almeida, A Versace, X Caseras, N S Lawrence, M L Phillips, D Dima, G Delvecchio, S Frangou, T D Satterthwaite, D Wolf, J Houenou, C Henry, U F Malt, E Bøen, T Elvsåshagen, A H Young, A J Lloyd, G M Goodwin, C E Mackay, C Bourne, A Bilderbeck, L Abramovic, M P Boks, N E M van Haren, R A Ophoff, R S Kahn, M Bauer, A Pfennig, M Alda, T Hajek, B Mwangi, J C Soares, T Nickson, R Dimitrova, J E Sussmann, S Hagenaars, H C Whalley, A M McIntosh, P M Thompson, O A Andreassen

Abstract

Considerable uncertainty exists about the defining brain changes associated with bipolar disorder (BD). Understanding and quantifying the sources of uncertainty can help generate novel clinical hypotheses about etiology and assist in the development of biomarkers for indexing disease progression and prognosis. Here we were interested in quantifying case-control differences in intracranial volume (ICV) and each of eight subcortical brain measures: nucleus accumbens, amygdala, caudate, hippocampus, globus pallidus, putamen, thalamus, lateral ventricles. In a large study of 1710 BD patients and 2594 healthy controls, we found consistent volumetric reductions in BD patients for mean hippocampus (Cohen's d=-0.232; P=3.50 × 10(-7)) and thalamus (d=-0.148; P=4.27 × 10(-3)) and enlarged lateral ventricles (d=-0.260; P=3.93 × 10(-5)) in patients. No significant effect of age at illness onset was detected. Stratifying patients based on clinical subtype (BD type I or type II) revealed that BDI patients had significantly larger lateral ventricles and smaller hippocampus and amygdala than controls. However, when comparing BDI and BDII patients directly, we did not detect any significant differences in brain volume. This likely represents similar etiology between BD subtype classifications. Exploratory analyses revealed significantly larger thalamic volumes in patients taking lithium compared with patients not taking lithium. We detected no significant differences between BDII patients and controls in the largest such comparison to date. Findings in this study should be interpreted with caution and with careful consideration of the limitations inherent to meta-analyzed neuroimaging comparisons.Molecular Psychiatry advance online publication, 9 February 2016; doi:10.1038/mp.2015.227.

X Demographics

X Demographics

The data shown below were collected from the profiles of 26 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 385 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
Unknown 383 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 60 16%
Researcher 52 14%
Student > Master 34 9%
Student > Postgraduate 32 8%
Student > Bachelor 24 6%
Other 83 22%
Unknown 100 26%
Readers by discipline Count As %
Medicine and Dentistry 81 21%
Neuroscience 76 20%
Psychology 48 12%
Biochemistry, Genetics and Molecular Biology 19 5%
Agricultural and Biological Sciences 12 3%
Other 28 7%
Unknown 121 31%
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 28 April 2021.
All research outputs
#1,874,079
of 25,708,267 outputs
Outputs from Molecular Psychiatry
#1,420
of 4,656 outputs
Outputs of similar age
#32,651
of 411,473 outputs
Outputs of similar age from Molecular Psychiatry
#26
of 62 outputs
Altmetric has tracked 25,708,267 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 4,656 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.6. This one has gotten more attention than average, scoring higher than 69% 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 411,473 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 62 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 58% of its contemporaries.