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

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 (E...

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Published inBiological psychiatry (1969) Vol. 84; no. 9; pp. 644 - 654
Main Authors Walton, Esther, Jiang, Wenhao, Yao, Nailin, Fukunaga, Masaki, Hashimoto, Ryota, Okada, Naohiro, Bustillo, Juan R., de Zwarte, Sonja M.C., Hulshoff Pol, Hilleke E., Andreassen, Ole A., Dale, Anders M., Doan, Nhat Trung, Gurholt, Tiril P., Hartberg, Cecilie B., Jørgensen, Kjetil N., Melle, Ingrid, Westlye, Lars T., Gruber, Oliver, Kraemer, Bernd, Tordesillas-Gutiérrez, Diana, Fullerton, Janice M., Green, Melissa J., Henskens, Frans A., Quidé, Yann, Schall, Ulrich, Scott, Rodney J., Cairns, Murray J., Tooney, Paul A., Rasser, Paul E., Cooper, Gavin, Morris, Derek W., Hong, Elliot, Gur, Ruben C., Satterthwaite, Theodore D., Wolf, Daniel H., Mathalon, Daniel H., Potkin, Steven G., Preda, Adrian, Voyvodic, James, Lim, Kelvin O., McEwen, Sarah, Tan, Yunlong, Fan, Fengmei, Guo, Hua, Wan, Ping, Bockholt, Henry J., Ehrlich, Stefan, Wolthusen, Rick P.F., King, Margaret D., De Haan, Lieuwe, de Rossi, Pietro, Iorio, Mariangela, McKenna, Peter J., Pomarol-Clotet, Edith, Kelly, Sinead, Whelan, Christopher D., Voineskos, Aristotle N., Ciufolini, Simone, Radua, Joaquim, Dazzan, Paola, Murray, Robin, Reis Marques, Tiago, Simmons, Andrew, Egloff, Laura, Harrisberger, Fabienne, Riecher-Rössler, Anita, Alpert, Kathryn I., Koops, Sanne, Bertolino, Alessandro, Bonvino, Aurora, Di Giorgio, Annabella, Stephen, Julia M., Cannon, Dara M., McDonald, Colm, Lebedeva, Irina, Tomyshev, Alexander S., Akhadov, Tolibjohn, Farde, Lars, Flyckt, Lena, Erhardt, Sophie, Schwieler, Lilly, Agartz, Ingrid, Collste, Karin, Victorsson, Pauliina, Orhan, Funda, Busatto, Geraldo F., Rosa, Pedro G.P., Zanetti, Marcus V., Skoch, Antonin, Spaniel, Filip, Tomecek, David, Hagenaars, Saskia P., McIntosh, Andrew M., Oertel-Knöchel, Viola, Uhlmann, Anne, Lopez-Jaramillo, Carlos, McMahon, Agnes, Faskowitz, Joshua I., Thompson, Paul M., Turner, Jessica A.
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 01.11.2018
Elsevier Science
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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.
AbstractList 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.
Background: 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. Methods: 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. Results: 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. Conclusions: 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.
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.
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.BACKGROUNDThe 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.METHODSThe 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.RESULTSCompared 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.CONCLUSIONSThe 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.
Author Lebedeva, Irina
Lenroot, Rhoshel K.
Dickie, Erin W.
Koops, Sanne
O’Leary, Daniel S.
Lawrie, Stephen M.
Gutman, Boris A.
Ehrlich, Stefan
Ford, Judith M.
Calhoun, Vince D.
De Haan, Lieuwe
Cropley, Vanessa L.
Morris, Derek W.
Scott, Rodney J.
Radua, Joaquim
Di Giorgio, Annabella
Preda, Adrian
Stein, Dan J.
Rasser, Paul E.
Rotenberg, David
Dima, Danai
Lim, Kelvin O.
Kelly, Sinead
Malmqvist, Anna
Henskens, Frans A.
Schwieler, Lilly
Sponheim, Scott R.
Mayer, Andrew R.
Erhardt, Sophie
Walton, Esther
Tordesillas-Gutiérrez, Diana
Oertel-Knöchel, Viola
Turner, Jessica A.
Catts, Stanley
Mathalon, Daniel H.
Murray, Robin
Flyckt, Lena
Roiz-Santiañez, Roberto
Chen, Jingxu
Beard, Lauren M.
Borgwardt, Stefan
Hagenaars, Saskia P.
Voyvodic, James
Bonvino, Aurora
Banaj, Nerisa
de Zwarte, Sonja M.C.
Dazzan, Paola
Voineskos, Aristotle N.
Pearlson, Godfrey D.
Riecher-Rössler, Anita
Green, Melissa J.
Shoemaker, Jody M.
Ciufolini, Simone
Akhadov, Tolibjohn
McMahon, Agnes
Cairns, Murray J.
Fan, Fengmei
Fatouros-Bergman, Helena
Doan, Nhat Trung
McDonald, Colm
McKenna, P
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  surname: Bonvino
  fullname: Bonvino, Aurora
  organization: Istituto Di Ricovero e Cura a Carattere Scientifico Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
– sequence: 138
  givenname: Annabella
  surname: Di Giorgio
  fullname: Di Giorgio, Annabella
  organization: Istituto Di Ricovero e Cura a Carattere Scientifico Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
– sequence: 141
  givenname: Julia M.
  surname: Stephen
  fullname: Stephen, Julia M.
  organization: Mind Research Network, Albuquerque, New Mexico
– sequence: 144
  givenname: Dara M.
  surname: Cannon
  fullname: Cannon, Dara M.
  organization: Centre for Neuroimaging & Cognitive Genomics, Clinical Neuroimaging Laboratory, National Centre for Biomedical Engineering (NCBES) Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
– sequence: 145
  givenname: Colm
  surname: McDonald
  fullname: McDonald, Colm
  organization: Centre for Neuroimaging & Cognitive Genomics, Clinical Neuroimaging Laboratory, National Centre for Biomedical Engineering (NCBES) Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
– sequence: 146
  givenname: Irina
  surname: Lebedeva
  fullname: Lebedeva, Irina
  organization: Mental Health Research Center, Moscow, Russia
– sequence: 147
  givenname: Alexander S.
  surname: Tomyshev
  fullname: Tomyshev, Alexander S.
  organization: Mental Health Research Center, Moscow, Russia
– sequence: 148
  givenname: Tolibjohn
  surname: Akhadov
  fullname: Akhadov, Tolibjohn
  organization: Children’s Clinical and Research Institute of Emergency Surgery and Trauma, Moscow, Russia
– sequence: 152
  givenname: Lars
  surname: Farde
  fullname: Farde, Lars
– sequence: 153
  givenname: Lena
  surname: Flyckt
  fullname: Flyckt, Lena
– sequence: 155
  givenname: Sophie
  surname: Erhardt
  fullname: Erhardt, Sophie
– sequence: 158
  givenname: Lilly
  surname: Schwieler
  fullname: Schwieler, Lilly
– sequence: 160
  givenname: Ingrid
  surname: Agartz
  fullname: Agartz, Ingrid
– sequence: 161
  givenname: Karin
  surname: Collste
  fullname: Collste, Karin
– sequence: 162
  givenname: Pauliina
  surname: Victorsson
  fullname: Victorsson, Pauliina
– sequence: 165
  givenname: Funda
  surname: Orhan
  fullname: Orhan, Funda
– sequence: 166
  givenname: Geraldo F.
  surname: Busatto
  fullname: Busatto, Geraldo F.
  organization: Laboratory of Psychiatric Neuroimaging, Laboratórios de Investigação Médica 21, Department of Psychiatry, Faculty of Medicine, and Center for Interdisciplinary Research on Applied Neurosciences, University of São Paulo, São Paulo, Brazil
– sequence: 167
  givenname: Pedro G.P.
  surname: Rosa
  fullname: Rosa, Pedro G.P.
  organization: Laboratory of Psychiatric Neuroimaging, Laboratórios de Investigação Médica 21, Department of Psychiatry, Faculty of Medicine, and Center for Interdisciplinary Research on Applied Neurosciences, University of São Paulo, São Paulo, Brazil
– sequence: 169
  givenname: Marcus V.
  surname: Zanetti
  fullname: Zanetti, Marcus V.
  organization: Laboratory of Psychiatric Neuroimaging, Laboratórios de Investigação Médica 21, Department of Psychiatry, Faculty of Medicine, and Center for Interdisciplinary Research on Applied Neurosciences, University of São Paulo, São Paulo, Brazil
– sequence: 171
  givenname: Antonin
  surname: Skoch
  fullname: Skoch, Antonin
  organization: National Institute of Mental Health, Klecany, Czech Republic
– sequence: 172
  givenname: Filip
  surname: Spaniel
  fullname: Spaniel, Filip
  organization: National Institute of Mental Health, Klecany, Czech Republic
– sequence: 173
  givenname: David
  surname: Tomecek
  fullname: Tomecek, David
  organization: National Institute of Mental Health, Klecany, Czech Republic
– sequence: 174
  givenname: Saskia P.
  surname: Hagenaars
  fullname: Hagenaars, Saskia P.
  organization: Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom
– sequence: 175
  givenname: Andrew M.
  surname: McIntosh
  fullname: McIntosh, Andrew M.
  organization: Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom
– sequence: 179
  givenname: Viola
  surname: Oertel-Knöchel
  fullname: Oertel-Knöchel, Viola
  organization: Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Goethe University Frankfurt, Frankfurt, Germany
– sequence: 184
  givenname: Anne
  surname: Uhlmann
  fullname: Uhlmann, Anne
  organization: Department of Psychiatry, Groote Schuur Hospital, University of Cape Town, Cape Town, South Africa
– sequence: 185
  givenname: Carlos
  surname: Lopez-Jaramillo
  fullname: Lopez-Jaramillo, Carlos
  organization: Research Group in Psychiatry, Department of Psychiatry, Faculty of Medicine, Universidad de Antioquia, Medellin, Colombia
– sequence: 187
  givenname: Agnes
  surname: McMahon
  fullname: McMahon, Agnes
  organization: Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, California
– sequence: 188
  givenname: Joshua I.
  surname: Faskowitz
  fullname: Faskowitz, Joshua I.
  organization: Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, California
– sequence: 191
  givenname: Paul M.
  surname: Thompson
  fullname: Thompson, Paul M.
  organization: Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, California
– sequence: 192
  givenname: Jessica A.
  surname: Turner
  fullname: Turner, Jessica A.
  organization: Imaging Genetics and Neuroinformatics Lab, Georgia State University, Atlanta, Georgia
BackLink https://www.ncbi.nlm.nih.gov/pubmed/29960671$$D View this record in MEDLINE/PubMed
http://kipublications.ki.se/Default.aspx?queryparsed=id:139379219$$DView record from Swedish Publication Index
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ContentType Journal Article
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Malmqvist, Anna
Schwieler, Lilly
Victorsson, Pauliina
Erhardt, Sophie
Engberg, Göran
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Copyright © 2018 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.
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Issue 9
Keywords Thickness
Schizophrenia
Surface area
Cortical
Imaging
Meta-analysis
Language English
License This is an open access article under the CC BY-NC-ND license.
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Copyright © 2018 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.
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Snippet The profile of cortical neuroanatomical abnormalities in schizophrenia is not fully understood, despite hundreds of published structural brain imaging studies....
Background: The profile of cortical neuroanatomical abnormalities in schizophrenia is not fully understood, despite hundreds of published structural brain...
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SubjectTerms Adolescent
Adult
Age of Onset
Aged
Brain - diagnostic imaging
Brain - pathology
Case-Control Studies
Child
Cortical
Female
Frontal Lobe - diagnostic imaging
Frontal Lobe - pathology
Humans
Imaging
Linear Models
Magnetic Resonance Imaging
Male
Meta-analysis
Middle Aged
Neuroimaging
Prefrontal Cortex - diagnostic imaging
Prefrontal Cortex - pathology
Schizophrenia
Schizophrenia - diagnostic imaging
Schizophrenia - pathology
Severity of Illness Index
Surface area
Temporal Lobe - diagnostic imaging
Temporal Lobe - pathology
Thickness
Young Adult
Title Cortical Brain Abnormalities in 4474 Individuals With Schizophrenia and 5098 Control Subjects via the Enhancing Neuro Imaging Genetics Through Meta Analysis (ENIGMA) Consortium
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https://dx.doi.org/10.1016/j.biopsych.2018.04.023
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