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Cortical abnormalities in bipolar disorder: an MRI analysis of 6503 individuals from the ENIGMA Bipolar Disorder Working Group

Overview of attention for article published in Molecular Psychiatry, May 2017
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

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14 news outlets
blogs
2 blogs
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67 X users
facebook
9 Facebook pages
wikipedia
1 Wikipedia page
reddit
1 Redditor

Citations

dimensions_citation
567 Dimensions

Readers on

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649 Mendeley
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Title
Cortical abnormalities in bipolar disorder: an MRI analysis of 6503 individuals from the ENIGMA Bipolar Disorder Working Group
Published in
Molecular Psychiatry, May 2017
DOI 10.1038/mp.2017.73
Pubmed ID
Authors

D P Hibar, L T Westlye, N T Doan, N Jahanshad, J W Cheung, C R K Ching, A Versace, A C Bilderbeck, A Uhlmann, B Mwangi, B Krämer, B Overs, C B Hartberg, C Abé, D Dima, D Grotegerd, E Sprooten, E Bøen, E Jimenez, F M Howells, G Delvecchio, H Temmingh, J Starke, J R C Almeida, J M Goikolea, J Houenou, L M Beard, L Rauer, L Abramovic, M Bonnin, M F Ponteduro, M Keil, M M Rive, N Yao, N Yalin, P Najt, P G Rosa, R Redlich, S Trost, S Hagenaars, S C Fears, S Alonso-Lana, T G M van Erp, T Nickson, T M Chaim-Avancini, T B Meier, T Elvsåshagen, U K Haukvik, W H Lee, A H Schene, A J Lloyd, A H Young, A Nugent, A M Dale, A Pfennig, A M McIntosh, B Lafer, B T Baune, C J Ekman, C A Zarate, C E Bearden, C Henry, C Simhandl, C McDonald, C Bourne, D J Stein, D H Wolf, D M Cannon, D C Glahn, D J Veltman, E Pomarol-Clotet, E Vieta, E J Canales-Rodriguez, F G Nery, F L S Duran, G F Busatto, G Roberts, G D Pearlson, G M Goodwin, H Kugel, H C Whalley, H G Ruhe, J C Soares, J M Fullerton, J K Rybakowski, J Savitz, K T Chaim, M Fatjó-Vilas, M G Soeiro-de-Souza, M P Boks, M V Zanetti, M C G Otaduy, M S Schaufelberger, M Alda, M Ingvar, M L Phillips, M J Kempton, M Bauer, M Landén, N S Lawrence, N E M van Haren, N R Horn, N B Freimer, O Gruber, P R Schofield, P B Mitchell, R S Kahn, R Lenroot, R Machado-Vieira, R A Ophoff, S Sarró, S Frangou, T D Satterthwaite, T Hajek, U Dannlowski, U F Malt, V Arolt, W F Gattaz, W C Drevets, X Caseras, I Agartz, P M Thompson, O A Andreassen

Abstract

Despite decades of research, the pathophysiology of bipolar disorder (BD) is still not well understood. Structural brain differences have been associated with BD, but results from neuroimaging studies have been inconsistent. To address this, we performed the largest study to date of cortical gray matter thickness and surface area measures from brain magnetic resonance imaging scans of 6503 individuals including 1837 unrelated adults with BD and 2582 unrelated healthy controls for group differences while also examining the effects of commonly prescribed medications, age of illness onset, history of psychosis, mood state, age and sex differences on cortical regions. In BD, cortical gray matter was thinner in frontal, temporal and parietal regions of both brain hemispheres. BD had the strongest effects on left pars opercularis (Cohen's d=-0.293; P=1.71 × 10(-21)), left fusiform gyrus (d=-0.288; P=8.25 × 10(-21)) and left rostral middle frontal cortex (d=-0.276; P=2.99 × 10(-19)). Longer duration of illness (after accounting for age at the time of scanning) was associated with reduced cortical thickness in frontal, medial parietal and occipital regions. We found that several commonly prescribed medications, including lithium, antiepileptic and antipsychotic treatment showed significant associations with cortical thickness and surface area, even after accounting for patients who received multiple medications. We found evidence of reduced cortical surface area associated with a history of psychosis but no associations with mood state at the time of scanning. Our analysis revealed previously undetected associations and provides an extensive analysis of potential confounding variables in neuroimaging studies of BD.Molecular Psychiatry advance online publication, 2 May 2017; doi:10.1038/mp.2017.73.

X Demographics

X Demographics

The data shown below were collected from the profiles of 67 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 649 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Germany 1 <1%
Unknown 647 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 90 14%
Student > Ph. D. Student 66 10%
Student > Master 59 9%
Student > Bachelor 55 8%
Student > Postgraduate 40 6%
Other 147 23%
Unknown 192 30%
Readers by discipline Count As %
Neuroscience 110 17%
Medicine and Dentistry 89 14%
Psychology 83 13%
Biochemistry, Genetics and Molecular Biology 25 4%
Agricultural and Biological Sciences 23 4%
Other 75 12%
Unknown 244 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 168. 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 02 February 2024.
All research outputs
#245,913
of 25,708,267 outputs
Outputs from Molecular Psychiatry
#216
of 4,656 outputs
Outputs of similar age
#5,099
of 325,832 outputs
Outputs of similar age from Molecular Psychiatry
#9
of 86 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 99th percentile: it's in the top 5% 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 done particularly well, scoring higher than 95% 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 325,832 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 98% of its contemporaries.
We're also able to compare this research output to 86 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.