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Cortical Brain Abnormalities in 4474 Individuals With Schizophrenia and 5098 Control Subjects via the Enhancing Neuro Imaging Genetics Through Meta Analysis (ENIGMA) Consortium

Overview of attention for article published in Biological Psychiatry, November 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
136 tweeters
facebook
2 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
198 Dimensions

Readers on

mendeley
343 Mendeley
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Title
Cortical Brain Abnormalities in 4474 Individuals With Schizophrenia and 5098 Control Subjects via the Enhancing Neuro Imaging Genetics Through Meta Analysis (ENIGMA) Consortium
Published in
Biological Psychiatry, November 2018
DOI 10.1016/j.biopsych.2018.04.023
Pubmed ID
Authors

Theo G.M. van Erp, Esther Walton, Derrek P. Hibar, Lianne Schmaal, Wenhao Jiang, David C. Glahn, Godfrey D. Pearlson, Nailin Yao, Masaki Fukunaga, Ryota Hashimoto, Naohiro Okada, Hidenaga Yamamori, Juan R. Bustillo, Vincent P. Clark, Ingrid Agartz, Bryon A. Mueller, Wiepke Cahn, Sonja M.C. de Zwarte, Hilleke E. Hulshoff Pol, René S. Kahn, Roel A. Ophoff, Neeltje E.M. van Haren, Ole A. Andreassen, Anders M. Dale, Nhat Trung Doan, Tiril P. Gurholt, Cecilie B. Hartberg, Unn K. Haukvik, Kjetil N. Jørgensen, Trine V. Lagerberg, Ingrid Melle, Lars T. Westlye, Oliver Gruber, Bernd Kraemer, Anja Richter, David Zilles, Vince D. Calhoun, Benedicto Crespo-Facorro, Roberto Roiz-Santiañez, Diana Tordesillas-Gutiérrez, Carmel Loughland, Vaughan J. Carr, Stanley Catts, Vanessa L. Cropley, Janice M. Fullerton, Melissa J. Green, Frans A. Henskens, Assen Jablensky, Rhoshel K. Lenroot, Bryan J. Mowry, Patricia T. Michie, Christos Pantelis, Yann Quidé, Ulrich Schall, Rodney J. Scott, Murray J. Cairns, Marc Seal, Paul A. Tooney, Paul E. Rasser, Gavin Cooper, Cynthia Shannon Weickert, Thomas W. Weickert, Derek W. Morris, Elliot Hong, Peter Kochunov, Lauren M. Beard, Raquel E. Gur, Ruben C. Gur, Theodore D. Satterthwaite, Daniel H. Wolf, Aysenil Belger, Gregory G. Brown, Judith M. Ford, Fabio Macciardi, Daniel H. Mathalon, Daniel S. O’Leary, Steven G. Potkin, Adrian Preda, James Voyvodic, Kelvin O. Lim, Sarah McEwen, Fude Yang, Yunlong Tan, Shuping Tan, Zhiren Wang, Fengmei Fan, Jingxu Chen, Hong Xiang, Shiyou Tang, Hua Guo, Ping Wan, Dong Wei, Henry J. Bockholt, Stefan Ehrlich, Rick P.F. Wolthusen, Margaret D. King, Jody M. Shoemaker, Scott R. Sponheim, Lieuwe De Haan, Laura Koenders, Marise W. Machielsen, Therese van Amelsvoort, Dick J. Veltman, Francesca Assogna, Nerisa Banaj, Pietro de Rossi, Mariangela Iorio, Fabrizio Piras, Gianfranco Spalletta, Peter J. McKenna, Edith Pomarol-Clotet, Raymond Salvador, Aiden Corvin, Gary Donohoe, Sinead Kelly, Christopher D. Whelan, Erin W. Dickie, David Rotenberg, Aristotle N. Voineskos, Simone Ciufolini, Joaquim Radua, Paola Dazzan, Robin Murray, Tiago Reis Marques, Andrew Simmons, Stefan Borgwardt, Laura Egloff, Fabienne Harrisberger, Anita Riecher-Rössler, Renata Smieskova, Kathryn I. Alpert, Lei Wang, Erik G. Jönsson, Sanne Koops, Iris E.C. Sommer, Alessandro Bertolino, Aurora Bonvino, Annabella Di Giorgio, Emma Neilson, Andrew R. Mayer, Julia M. Stephen, Jun Soo Kwon, Je-Yeon Yun, Dara M. Cannon, Colm McDonald, Irina Lebedeva, Alexander S. Tomyshev, Tolibjohn Akhadov, Vasily Kaleda, Helena Fatouros-Bergman, Lena Flyckt, Geraldo F. Busatto, Pedro G.P. Rosa, Mauricio H. Serpa, Marcus V. Zanetti, Cyril Hoschl, Antonin Skoch, Filip Spaniel, David Tomecek, Saskia P. Hagenaars, Andrew M. McIntosh, Heather C. Whalley, Stephen M. Lawrie, Christian Knöchel, Viola Oertel-Knöchel, Michael Stäblein, Fleur M. Howells, Dan J. Stein, Henk S. Temmingh, Anne Uhlmann, Carlos Lopez-Jaramillo, Danai Dima, Agnes McMahon, Joshua I. Faskowitz, Boris A. Gutman, Neda Jahanshad, Paul M. Thompson, Jessica A. Turner, Lars Farde, Lena Flyckt, Göran Engberg, Sophie Erhardt, Helena Fatouros-Bergman, Simon Cervenka, Lilly Schwieler, Fredrik Piehl, Ingrid Agartz, Karin Collste, Pauliina Victorsson, Anna Malmqvist, Mikael Hedberg, Funda Orhan

Abstract

The profile of cortical neuroanatomical abnormalities in schizophrenia is not fully understood, despite hundreds of published structural brain imaging studies. This study presents the first meta-analysis of cortical thickness and surface area abnormalities in schizophrenia conducted by the ENIGMA (Enhancing Neuro Imaging Genetics through Meta Analysis) Schizophrenia Working Group. The study included data from 4474 individuals with schizophrenia (mean age, 32.3 years; range, 11-78 years; 66% male) and 5098 healthy volunteers (mean age, 32.8 years; range, 10-87 years; 53% male) assessed with standardized methods at 39 centers worldwide. Compared with healthy volunteers, individuals with schizophrenia have widespread thinner cortex (left/right hemisphere: Cohen's d = -0.530/-0.516) and smaller surface area (left/right hemisphere: Cohen's d = -0.251/-0.254), with the largest effect sizes for both in frontal and temporal lobe regions. Regional group differences in cortical thickness remained significant when statistically controlling for global cortical thickness, suggesting regional specificity. In contrast, effects for cortical surface area appear global. Case-control, negative, cortical thickness effect sizes were two to three times larger in individuals receiving antipsychotic medication relative to unmedicated individuals. Negative correlations between age and bilateral temporal pole thickness were stronger in individuals with schizophrenia than in healthy volunteers. Regional cortical thickness showed significant negative correlations with normalized medication dose, symptom severity, and duration of illness and positive correlations with age at onset. The findings indicate that the ENIGMA meta-analysis approach can achieve robust findings in clinical neuroscience studies; also, medication effects should be taken into account in future genetic association studies of cortical thickness in schizophrenia.

Twitter Demographics

The data shown below were collected from the profiles of 136 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 343 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 343 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 63 18%
Student > Ph. D. Student 58 17%
Student > Master 37 11%
Professor 24 7%
Student > Bachelor 23 7%
Other 79 23%
Unknown 59 17%
Readers by discipline Count As %
Neuroscience 76 22%
Psychology 48 14%
Medicine and Dentistry 45 13%
Biochemistry, Genetics and Molecular Biology 14 4%
Agricultural and Biological Sciences 13 4%
Other 40 12%
Unknown 107 31%

Attention Score in Context

This research output has an Altmetric Attention Score of 97. 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 31 August 2020.
All research outputs
#238,930
of 16,651,634 outputs
Outputs from Biological Psychiatry
#172
of 5,428 outputs
Outputs of similar age
#7,984
of 283,102 outputs
Outputs of similar age from Biological Psychiatry
#6
of 151 outputs
Altmetric has tracked 16,651,634 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,428 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.2. This one has done particularly well, scoring higher than 96% 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 283,102 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 97% of its contemporaries.
We're also able to compare this research output to 151 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 96% of its contemporaries.