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1. Brain‐age prediction: Systematic evaluation of site effects, and sample age range and size

Author

Yu, Yuetong, Cui, Hao‐Qi, Haas, Shalaila S, New, Faye, Sanford, Nicole, Yu, Kevin, Zhan, Denghuang, Yang, Guoyuan, Gao, Jia‐Hong, Wei, Dongtao, Qiu, Jiang, Banaj, Nerisa, Boomsma, Dorret I, Breier, Alan, Brodaty, Henry, Buckner, Randy L, Buitelaar, Jan K, Cannon, Dara M, Caseras, Xavier, Clark, Vincent P, Conrod, Patricia J, Crivello, Fabrice, Crone, Eveline A, Dannlowski, Udo, Davey, Christopher G, de Haan, Lieuwe, de Zubicaray, Greig I, Di Giorgio, Annabella, Fisch, Lukas, Fisher, Simon E, Franke, Barbara, Glahn, David C, Grotegerd, Dominik, Gruber, Oliver, Gur, Raquel E, Gur, Ruben C, Hahn, Tim, Harrison, Ben J, Hatton, Sean, Hickie, Ian B, Pol, Hilleke E Hulshoff, Jamieson, Alec J, Jernigan, Terry L, Jiang, Jiyang, Kalnin, Andrew J, Kang, Sim, Kochan, Nicole A, Kraus, Anna, Lagopoulos, Jim, Lazaro, Luisa, McDonald, Brenna C, McDonald, Colm, McMahon, Katie L, Mwangi, Benson, Piras, Fabrizio, Rodriguez‐Cruces, Raul, Royer, Jessica, Sachdev, Perminder S, Satterthwaite, Theodore D, Saykin, Andrew J, Schumann, Gunter, Sevaggi, Pierluigi, Smoller, Jordan W, Soares, Jair C, Spalletta, Gianfranco, Tamnes, Christian K, Trollor, Julian N, Ent, Dennis Van't, Vecchio, Daniela, Walter, Henrik, Wang, Yang, Weber, Bernd, Wen, Wei, Wierenga, Lara M, Williams, Steven CR, Wu, Mon‐Ju, Zunta‐Soares, Giovana B, Bernhardt, Boris, Thompson, Paul, Frangou, Sophia, Ge, Ruiyang, and Group, ENIGMA‐Lifespan Working

Subjects
Biological Psychology, Psychology, Aging, Clinical Research, Neurosciences, Neurological, Mental health, Humans, Adolescent, Female, Aged, Adult, Child, Young Adult, Male, Brain, Aged, 80 and over, Child, Preschool, Middle Aged, Magnetic Resonance Imaging, Neuroimaging, Sample Size, benchmarking, brain aging, brainAGE, ENIGMA‐Lifespan Working Group, Cognitive Sciences, Experimental Psychology, Biological psychology, Cognitive and computational psychology
Abstract

Structural neuroimaging data have been used to compute an estimate of the biological age of the brain (brain-age) which has been associated with other biologically and behaviorally meaningful measures of brain development and aging. The ongoing research interest in brain-age has highlighted the need for robust and publicly available brain-age models pre-trained on data from large samples of healthy individuals. To address this need we have previously released a developmental brain-age model. Here we expand this work to develop, empirically validate, and disseminate a pre-trained brain-age model to cover most of the human lifespan. To achieve this, we selected the best-performing model after systematically examining the impact of seven site harmonization strategies, age range, and sample size on brain-age prediction in a discovery sample of brain morphometric measures from 35,683 healthy individuals (age range: 5-90 years; 53.59% female). The pre-trained models were tested for cross-dataset generalizability in an independent sample comprising 2101 healthy individuals (age range: 8-80 years; 55.35% female) and for longitudinal consistency in a further sample comprising 377 healthy individuals (age range: 9-25 years; 49.87% female). This empirical examination yielded the following findings: (1) the accuracy of age prediction from morphometry data was higher when no site harmonization was applied; (2) dividing the discovery sample into two age-bins (5-40 and 40-90 years) provided a better balance between model accuracy and explained age variance than other alternatives; (3) model accuracy for brain-age prediction plateaued at a sample size exceeding 1600 participants. These findings have been incorporated into CentileBrain (https://centilebrain.org/#/brainAGE2), an open-science, web-based platform for individualized neuroimaging metrics.

Published
2024

2. DenseNet and Support Vector Machine classifications of major depressive disorder using vertex-wise cortical features

Author

Belov, Vladimir, Erwin-Grabner, Tracy, Zeng, Ling-Li, Ching, Christopher R. K., Aleman, Andre, Amod, Alyssa R., Basgoze, Zeynep, Benedetti, Francesco, Besteher, Bianca, Brosch, Katharina, Bülow, Robin, Colle, Romain, Connolly, Colm G., Corruble, Emmanuelle, Couvy-Duchesne, Baptiste, Cullen, Kathryn, Dannlowski, Udo, Davey, Christopher G., Dols, Annemiek, Ernsting, Jan, Evans, Jennifer W., Fisch, Lukas, Fuentes-Claramonte, Paola, Gonul, Ali Saffet, Gotlib, Ian H., Grabe, Hans J., Groenewold, Nynke A., Grotegerd, Dominik, Hahn, Tim, Hamilton, J. Paul, Han, Laura K. M., Harrison, Ben J, Ho, Tiffany C., Jahanshad, Neda, Jamieson, Alec J., Karuk, Andriana, Kircher, Tilo, Klimes-Dougan, Bonnie, Koopowitz, Sheri-Michelle, Lancaster, Thomas, Leenings, Ramona, Li, Meng, Linden, David E. J., MacMaster, Frank P., Mehler, David M. A., Meinert, Susanne, Melloni, Elisa, Mueller, Bryon A., Mwangi, Benson, Nenadić, Igor, Ojha, Amar, Okamoto, Yasumasa, Oudega, Mardien L., Penninx, Brenda W. J. H., Poletti, Sara, Pomarol-Clotet, Edith, Portella, Maria J., Pozzi, Elena, Radua, Joaquim, Rodríguez-Cano, Elena, Sacchet, Matthew D., Salvador, Raymond, Schrantee, Anouk, Sim, Kang, Soares, Jair C., Solanes, Aleix, Stein, Dan J., Stein, Frederike, Stolicyn, Aleks, Thomopoulos, Sophia I., Toenders, Yara J., Uyar-Demir, Aslihan, Vieta, Eduard, Vives-Gilabert, Yolanda, Völzke, Henry, Walter, Martin, Whalley, Heather C., Whittle, Sarah, Winter, Nils, Wittfeld, Katharina, Wright, Margaret J., Wu, Mon-Ju, Yang, Tony T., Zarate, Carlos, Veltman, Dick J., Schmaal, Lianne, Thompson, Paul M., and Goya-Maldonado, Roberto

Subjects
Quantitative Biology - Quantitative Methods, Computer Science - Machine Learning, Quantitative Biology - Neurons and Cognition
Abstract

Major depressive disorder (MDD) is a complex psychiatric disorder that affects the lives of hundreds of millions of individuals around the globe. Even today, researchers debate if morphological alterations in the brain are linked to MDD, likely due to the heterogeneity of this disorder. The application of deep learning tools to neuroimaging data, capable of capturing complex non-linear patterns, has the potential to provide diagnostic and predictive biomarkers for MDD. However, previous attempts to demarcate MDD patients and healthy controls (HC) based on segmented cortical features via linear machine learning approaches have reported low accuracies. In this study, we used globally representative data from the ENIGMA-MDD working group containing an extensive sample of people with MDD (N=2,772) and HC (N=4,240), which allows a comprehensive analysis with generalizable results. Based on the hypothesis that integration of vertex-wise cortical features can improve classification performance, we evaluated the classification of a DenseNet and a Support Vector Machine (SVM), with the expectation that the former would outperform the latter. As we analyzed a multi-site sample, we additionally applied the ComBat harmonization tool to remove potential nuisance effects of site. We found that both classifiers exhibited close to chance performance (balanced accuracy DenseNet: 51%; SVM: 53%), when estimated on unseen sites. Slightly higher classification performance (balanced accuracy DenseNet: 58%; SVM: 55%) was found when the cross-validation folds contained subjects from all sites, indicating site effect. In conclusion, the integration of vertex-wise morphometric features and the use of the non-linear classifier did not lead to the differentiability between MDD and HC. Our results support the notion that MDD classification on this combination of features and classifiers is unfeasible.

Published
2023

3. Brain-based classification of youth with anxiety disorders: transdiagnostic examinations within the ENIGMA-Anxiety database using machine learning

Author

Bruin, Willem B., Zhutovsky, Paul, van Wingen, Guido A., Bas-Hoogendam, Janna Marie, Groenewold, Nynke A., Hilbert, Kevin, Winkler, Anderson M., Zugman, Andre, Agosta, Federica, Åhs, Fredrik, Andreescu, Carmen, Antonacci, Chase, Asami, Takeshi, Assaf, Michal, Barber, Jacques P., Bauer, Jochen, Bavdekar, Shreya Y., Beesdo-Baum, Katja, Benedetti, Francesco, Bernstein, Rachel, Björkstrand, Johannes, Blair, Robert J., Blair, Karina S., Blanco-Hinojo, Laura, Böhnlein, Joscha, Brambilla, Paolo, Bressan, Rodrigo A., Breuer, Fabian, Cano, Marta, Canu, Elisa, Cardinale, Elise M., Cardoner, Narcís, Cividini, Camilla, Cremers, Henk, Dannlowski, Udo, Diefenbach, Gretchen J., Domschke, Katharina, Doruyter, Alexander G. G., Dresler, Thomas, Erhardt, Angelika, Filippi, Massimo, Fonzo, Gregory A., Freitag, Gabrielle F., Furmark, Tomas, Ge, Tian, Gerber, Andrew J., Gosnell, Savannah N., Grabe, Hans J., Grotegerd, Dominik, Gur, Ruben C., Gur, Raquel E., Hamm, Alfons O., Han, Laura K. M., Harper, Jennifer C., Harrewijn, Anita, Heeren, Alexandre, Hofmann, David, Jackowski, Andrea P., Jahanshad, Neda, Jett, Laura, Kaczkurkin, Antonia N., Khosravi, Parmis, Kingsley, Ellen N., Kircher, Tilo, Kostic, Milutin, Larsen, Bart, Lee, Sang-Hyuk, Leehr, Elisabeth J., Leibenluft, Ellen, Lochner, Christine, Lui, Su, Maggioni, Eleonora, Manfro, Gisele G., Månsson, Kristoffer N. T., Marino, Claire E., Meeten, Frances, Milrod, Barbara, Jovanovic, Ana Munjiza, Mwangi, Benson, Myers, Michael J., Neufang, Susanne, Nielsen, Jared A., Ohrmann, Patricia A., Ottaviani, Cristina, Paulus, Martin P., Perino, Michael T., Phan, K. Luan, Poletti, Sara, Porta-Casteràs, Daniel, Pujol, Jesus, Reinecke, Andrea, Ringlein, Grace V., Rjabtsenkov, Pavel, Roelofs, Karin, Salas, Ramiro, Salum, Giovanni A., Satterthwaite, Theodore D., Schrammen, Elisabeth, Sindermann, Lisa, Smoller, Jordan W., Soares, Jair C., Stark, Rudolf, Stein, Frederike, Straube, Thomas, Straube, Benjamin, Strawn, Jeffrey R., Suarez-Jimenez, Benjamin, Sylvester, Chad M., Talati, Ardesheer, Thomopoulos, Sophia I., Tükel, Raşit, van Nieuwenhuizen, Helena, Werwath, Kathryn, Wittfeld, Katharina, Wright, Barry, Wu, Mon-Ju, Yang, Yunbo, Zilverstand, Anna, Zwanzger, Peter, Blackford, Jennifer U., Avery, Suzanne N., Clauss, Jacqueline A., Lueken, Ulrike, Thompson, Paul M., Pine, Daniel S., Stein, Dan J., van der Wee, Nic J. A., Veltman, Dick J., and Aghajani, Moji

Published
2024
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4. Volume of subcortical brain regions in social anxiety disorder: mega-analytic results from 37 samples in the ENIGMA-Anxiety Working Group.

Author

Groenewold, Nynke, Bas-Hoogendam, Janna, Amod, Alyssa, Laansma, Max, Van Velzen, Laura, Aghajani, Moji, Hilbert, Kevin, Oh, Hyuntaek, Salas, Ramiro, Jackowski, Andrea, Pan, Pedro, Salum, Giovanni, Blair, James, Blair, Karina, Hirsch, Joy, Pantazatos, Spiro, Schneier, Franklin, Talati, Ardesheer, Roelofs, Karin, Volman, Inge, Blanco-Hinojo, Laura, Cardoner, Narcís, Pujol, Jesus, Beesdo-Baum, Katja, Ching, Christopher, Thomopoulos, Sophia, Jansen, Andreas, Kircher, Tilo, Krug, Axel, Nenadić, Igor, Stein, Frederike, Dannlowski, Udo, Grotegerd, Dominik, Lemke, Hannah, Meinert, Susanne, Winter, Alexandra, Erb, Michael, Kreifelts, Benjamin, Gong, Qiyong, Lui, Su, Zhu, Fei, Mwangi, Benson, Soares, Jair, Wu, Mon-Ju, Bayram, Ali, Canli, Mesut, Tükel, Raşit, Westenberg, P, Heeren, Alexandre, Cremers, Henk, Hofmann, David, Straube, Thomas, Doruyter, Alexander, Lochner, Christine, Peterburs, Jutta, Van Tol, Marie-José, Gur, Raquel, Kaczkurkin, Antonia, Larsen, Bart, Satterthwaite, Theodore, Filippi, Courtney, Gold, Andrea, Harrewijn, Anita, Zugman, André, Bülow, Robin, Grabe, Hans, Völzke, Henry, Wittfeld, Katharina, Böhnlein, Joscha, Dohm, Katharina, Kugel, Harald, Schrammen, Elisabeth, Zwanzger, Peter, Leehr, Elisabeth, Sindermann, Lisa, Ball, Tali, Fonzo, Gregory, Paulus, Martin, Stein, Murray, Klumpp, Heide, Phan, K, Furmark, Tomas, Månsson, Kristoffer, Manzouri, Amirhossein, Avery, Suzanne, Blackford, Jennifer, Clauss, Jacqueline, Feola, Brandee, Harper, Jennifer, Sylvester, Chad, Lueken, Ulrike, Veltman, Dick, Winkler, Anderson, Jahanshad, Neda, Pine, Daniel, Thompson, Paul, Stein, Dan, Van der Wee, Nic, and Simmons, Alan

Subjects
Adult, Adolescent, Humans, Phobia, Social, Magnetic Resonance Imaging, Brain, Anxiety, Neuroimaging
Abstract

There is limited convergence in neuroimaging investigations into volumes of subcortical brain regions in social anxiety disorder (SAD). The inconsistent findings may arise from variations in methodological approaches across studies, including sample selection based on age and clinical characteristics. The ENIGMA-Anxiety Working Group initiated a global mega-analysis to determine whether differences in subcortical volumes can be detected in adults and adolescents with SAD relative to healthy controls. Volumetric data from 37 international samples with 1115 SAD patients and 2775 controls were obtained from ENIGMA-standardized protocols for image segmentation and quality assurance. Linear mixed-effects analyses were adjusted for comparisons across seven subcortical regions in each hemisphere using family-wise error (FWE)-correction. Mixed-effects d effect sizes were calculated. In the full sample, SAD patients showed smaller bilateral putamen volume than controls (left: d = -0.077, pFWE = 0.037; right: d = -0.104, pFWE = 0.001), and a significant interaction between SAD and age was found for the left putamen (r = -0.034, pFWE = 0.045). Smaller bilateral putamen volumes (left: d = -0.141, pFWE

Published
2023

5. Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures

Author

Belov, Vladimir, Erwin-Grabner, Tracy, Gonul, Ali Saffet, Amod, Alyssa R., Ojha, Amar, Aleman, Andre, Dols, Annemiek, Scharntee, Anouk, Uyar-Demir, Aslihan, Harrison, Ben J, Irungu, Benson M., Besteher, Bianca, Klimes-Dougan, Bonnie, Penninx, Brenda W. J. H., Mueller, Bryon A., Zarate, Carlos, Davey, Christopher G., Ching, Christopher R. K., Connolly, Colm G., Fu, Cynthia H. Y., Stein, Dan J., Dima, Danai, Linden, David E. J., Mehler, David M. A., Pomarol-Clotet, Edith, Pozzi, Elena, Melloni, Elisa, Benedetti, Francesco, MacMaster, Frank P., Grabe, Hans J., Völzke, Henry, Gotlib, Ian H., Soares, Jair C., Evans, Jennifer W., Sim, Kang, Wittfeld, Katharina, Cullen, Kathryn, Reneman, Liesbeth, Oudega, Mardien L., Wright, Margaret J., Portella, Maria J., Sacchet, Matthew D., Li, Meng, Aghajani, Moji, Wu, Mon-Ju, Jaworska, Natalia, Jahanshad, Neda, van der Wee, Nic J. A., Groenewold, Nynke, Hamilton, Paul J., Saemann, Philipp, Bülow, Robin, Poletti, Sara, Whittle, Sarah, Thomopoulos, Sophia I., van, Steven J. A., Werff, der, Koopowitz, Sheri-Michelle, Lancaster, Thomas, Ho, Tiffany C., Yang, Tony T., Basgoze, Zeynep, Veltman, Dick J., Schmaal, Lianne, Thompson, Paul M., and Goya-Maldonado, Roberto

Subjects
Quantitative Biology - Quantitative Methods
Abstract

Machine learning (ML) techniques have gained popularity in the neuroimaging field due to their potential for classifying neuropsychiatric disorders. However, the diagnostic predictive power of the existing algorithms has been limited by small sample sizes, lack of representativeness, data leakage, and/or overfitting. Here, we overcome these limitations with the largest multi-site sample size to date (n=5,356) to provide a generalizable ML classification benchmark of major depressive disorder (MDD). Using brain measures from standardized ENIGMA analysis pipelines in FreeSurfer, we were able to classify MDD vs healthy controls (HC) with around 62% balanced accuracy, but when harmonizing the data using ComBat balanced accuracy dropped to approximately 52%. Similar results were observed in stratified groups according to age of onset, antidepressant use, number of episodes and sex. Future studies incorporating higher dimensional brain imaging/phenotype features, and/or using more advanced machine and deep learning methods may achieve more encouraging prospects., Comment: main document 37 pages; supplementary material 24 pages

Published
2022

6. Intelligence, educational attainment, and brain structure in those at familial high‐risk for schizophrenia or bipolar disorder

Author

Zwarte, Sonja MC, Brouwer, Rachel M, Agartz, Ingrid, Alda, Martin, Alonso‐Lana, Silvia, Bearden, Carrie E, Bertolino, Alessandro, Bonvino, Aurora, Bramon, Elvira, Buimer, Elizabeth EL, Cahn, Wiepke, Canales‐Rodríguez, Erick J, Cannon, Dara M, Cannon, Tyrone D, Caseras, Xavier, Castro‐Fornieles, Josefina, Chen, Qiang, Chung, Yoonho, De la Serna, Elena, Bonnin, Caterina Mar, Demro, Caroline, Di Giorgio, Annabella, Doucet, Gaelle E, Eker, Mehmet Cagdas, Erk, Susanne, Fatjó‐Vilas, Mar, Fears, Scott C, Foley, Sonya F, Frangou, Sophia, Fullerton, Janice M, Glahn, David C, Goghari, Vina M, Goikolea, Jose M, Goldman, Aaron L, Gonul, Ali Saffet, Gruber, Oliver, Hajek, Tomas, Hawkins, Emma L, Heinz, Andreas, Ongun, Ceren Hidiroglu, Hillegers, Manon HJ, Houenou, Josselin, Pol, Hilleke E Hulshoff, Hultman, Christina M, Ingvar, Martin, Johansson, Viktoria, Jönsson, Erik G, Kane, Fergus, Kempton, Matthew J, Koenis, Marinka MG, Kopecek, Miloslav, Krämer, Bernd, Lawrie, Stephen M, Lenroot, Rhoshel K, Marcelis, Machteld, Mattay, Venkata S, McDonald, Colm, Meyer‐Lindenberg, Andreas, Michielse, Stijn, Mitchell, Philip B, Moreno, Dolores, Murray, Robin M, Mwangi, Benson, Nabulsi, Leila, Newport, Jason, Olman, Cheryl A, Os, Jim, Overs, Bronwyn J, Ozerdem, Aysegul, Pergola, Giulio, Picchioni, Marco M, Piguet, Camille, Pomarol‐Clotet, Edith, Radua, Joaquim, Ramsay, Ian S, Richter, Anja, Roberts, Gloria, Salvador, Raymond, Aydogan, Aybala Saricicek, Sarró, Salvador, Schofield, Peter R, Simsek, Esma M, Simsek, Fatma, Soares, Jair C, Sponheim, Scott R, Sugranyes, Gisela, Toulopoulou, Timothea, Tronchin, Giulia, Vieta, Eduard, Walter, Henrik, Weinberger, Daniel R, Whalley, Heather C, Wu, Mon‐Ju, Yalin, Nefize, Andreassen, Ole A, Ching, Christopher RK, Thomopoulos, Sophia I, Erp, Theo GM, Jahanshad, Neda, and Thompson, Paul M

Subjects
Biological Psychology, Biomedical and Clinical Sciences, Psychology, Brain Disorders, Bipolar Disorder, Clinical Research, Serious Mental Illness, Neurosciences, Schizophrenia, Mental Health, Aetiology, 2.3 Psychological, social and economic factors, 2.1 Biological and endogenous factors, Mental health, Cognitive Dysfunction, Educational Status, Family, Genetic Predisposition to Disease, Humans, Intelligence, Magnetic Resonance Imaging, Neuroimaging, bipolar disorder, education, intelligence, neuroimaging, relatives, schizophrenia, Cognitive Sciences, Experimental Psychology, Biological psychology, Cognitive and computational psychology
Abstract

First-degree relatives of patients diagnosed with schizophrenia (SZ-FDRs) show similar patterns of brain abnormalities and cognitive alterations to patients, albeit with smaller effect sizes. First-degree relatives of patients diagnosed with bipolar disorder (BD-FDRs) show divergent patterns; on average, intracranial volume is larger compared to controls, and findings on cognitive alterations in BD-FDRs are inconsistent. Here, we performed a meta-analysis of global and regional brain measures (cortical and subcortical), current IQ, and educational attainment in 5,795 individuals (1,103 SZ-FDRs, 867 BD-FDRs, 2,190 controls, 942 schizophrenia patients, 693 bipolar patients) from 36 schizophrenia and/or bipolar disorder family cohorts, with standardized methods. Compared to controls, SZ-FDRs showed a pattern of widespread thinner cortex, while BD-FDRs had widespread larger cortical surface area. IQ was lower in SZ-FDRs (d = -0.42, p = 3 × 10-5 ), with weak evidence of IQ reductions among BD-FDRs (d = -0.23, p = .045). Both relative groups had similar educational attainment compared to controls. When adjusting for IQ or educational attainment, the group-effects on brain measures changed, albeit modestly. Changes were in the expected direction, with less pronounced brain abnormalities in SZ-FDRs and more pronounced effects in BD-FDRs. To conclude, SZ-FDRs and BD-FDRs show a differential pattern of structural brain abnormalities. In contrast, both had lower IQ scores and similar school achievements compared to controls. Given that brain differences between SZ-FDRs and BD-FDRs remain after adjusting for IQ or educational attainment, we suggest that differential brain developmental processes underlying predisposition for schizophrenia or bipolar disorder are likely independent of general cognitive impairment.

Published
2022

7. Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group

Author

Han, Laura KM, Dinga, Richard, Hahn, Tim, Ching, Christopher RK, Eyler, Lisa T, Aftanas, Lyubomir, Aghajani, Moji, Aleman, André, Baune, Bernhard T, Berger, Klaus, Brak, Ivan, Filho, Geraldo Busatto, Carballedo, Angela, Connolly, Colm G, Couvy-Duchesne, Baptiste, Cullen, Kathryn R, Dannlowski, Udo, Davey, Christopher G, Dima, Danai, Duran, Fabio LS, Enneking, Verena, Filimonova, Elena, Frenzel, Stefan, Frodl, Thomas, Fu, Cynthia HY, Godlewska, Beata R, Gotlib, Ian H, Grabe, Hans J, Groenewold, Nynke A, Grotegerd, Dominik, Gruber, Oliver, Hall, Geoffrey B, Harrison, Ben J, Hatton, Sean N, Hermesdorf, Marco, Hickie, Ian B, Ho, Tiffany C, Hosten, Norbert, Jansen, Andreas, Kähler, Claas, Kircher, Tilo, Klimes-Dougan, Bonnie, Krämer, Bernd, Krug, Axel, Lagopoulos, Jim, Leenings, Ramona, MacMaster, Frank P, MacQueen, Glenda, McIntosh, Andrew, McLellan, Quinn, McMahon, Katie L, Medland, Sarah E, Mueller, Bryon A, Mwangi, Benson, Osipov, Evgeny, Portella, Maria J, Pozzi, Elena, Reneman, Liesbeth, Repple, Jonathan, Rosa, Pedro GP, Sacchet, Matthew D, Sämann, Philipp G, Schnell, Knut, Schrantee, Anouk, Simulionyte, Egle, Soares, Jair C, Sommer, Jens, Stein, Dan J, Steinsträter, Olaf, Strike, Lachlan T, Thomopoulos, Sophia I, van Tol, Marie-José, Veer, Ilya M, Vermeiren, Robert RJM, Walter, Henrik, van der Wee, Nic JA, van der Werff, Steven JA, Whalley, Heather, Winter, Nils R, Wittfeld, Katharina, Wright, Margaret J, Wu, Mon-Ju, Völzke, Henry, Yang, Tony T, Zannias, Vasileios, de Zubicaray, Greig I, Zunta-Soares, Giovana B, Abé, Christoph, Alda, Martin, Andreassen, Ole A, Bøen, Erlend, Bonnin, Caterina M, Canales-Rodriguez, Erick J, Cannon, Dara, Caseras, Xavier, Chaim-Avancini, Tiffany M, Elvsåshagen, Torbjørn, Favre, Pauline, Foley, Sonya F, and Fullerton, Janice M

Subjects
Depression, Aging, Brain Disorders, Biomedical Imaging, Serious Mental Illness, Mental Health, Major Depressive Disorder, Behavioral and Social Science, Clinical Research, Neurosciences, 2.3 Psychological, social and economic factors, Aetiology, Mental health, Adolescent, Adult, Aged, Brain, Depressive Disorder, Major, Female, Humans, Longitudinal Studies, Magnetic Resonance Imaging, Male, Middle Aged, Young Adult, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract

Major depressive disorder (MDD) is associated with an increased risk of brain atrophy, aging-related diseases, and mortality. We examined potential advanced brain aging in adult MDD patients, and whether this process is associated with clinical characteristics in a large multicenter international dataset. We performed a mega-analysis by pooling brain measures derived from T1-weighted MRI scans from 19 samples worldwide. Healthy brain aging was estimated by predicting chronological age (18-75 years) from 7 subcortical volumes, 34 cortical thickness and 34 surface area, lateral ventricles and total intracranial volume measures separately in 952 male and 1236 female controls from the ENIGMA MDD working group. The learned model coefficients were applied to 927 male controls and 986 depressed males, and 1199 female controls and 1689 depressed females to obtain independent unbiased brain-based age predictions. The difference between predicted "brain age" and chronological age was calculated to indicate brain-predicted age difference (brain-PAD). On average, MDD patients showed a higher brain-PAD of +1.08 (SE 0.22) years (Cohen's d = 0.14, 95% CI: 0.08-0.20) compared with controls. However, this difference did not seem to be driven by specific clinical characteristics (recurrent status, remission status, antidepressant medication use, age of onset, or symptom severity). This highly powered collaborative effort showed subtle patterns of age-related structural brain abnormalities in MDD. Substantial within-group variance and overlap between groups were observed. Longitudinal studies of MDD and somatic health outcomes are needed to further assess the clinical value of these brain-PAD estimates.

Published
2021

8. Structural brain alterations associated with suicidal thoughts and behaviors in young people: results from 21 international studies from the ENIGMA Suicidal Thoughts and Behaviours consortium

Author

van Velzen, Laura S., Dauvermann, Maria R., Colic, Lejla, Villa, Luca M., Savage, Hannah S., Toenders, Yara J., Zhu, Alyssa H., Bright, Joanna K., Campos, Adrián I., Salminen, Lauren E., Ambrogi, Sonia, Ayesa-Arriola, Rosa, Banaj, Nerisa, Başgöze, Zeynep, Bauer, Jochen, Blair, Karina, Blair, Robert James, Brosch, Katharina, Cheng, Yuqi, Colle, Romain, Connolly, Colm G., Corruble, Emmanuelle, Couvy-Duchesne, Baptiste, Crespo-Facorro, Benedicto, Cullen, Kathryn R., Dannlowski, Udo, Davey, Christopher G., Dohm, Katharina, Fullerton, Janice M., Gonul, Ali Saffet, Gotlib, Ian H., Grotegerd, Dominik, Hahn, Tim, Harrison, Ben J., He, Mengxin, Hickie, Ian B., Ho, Tiffany C., Iorfino, Frank, Jansen, Andreas, Jollant, Fabrice, Kircher, Tilo, Klimes-Dougan, Bonnie, Klug, Melissa, Leehr, Elisabeth J., Lippard, Elizabeth T. C., McLaughlin, Katie A., Meinert, Susanne, Miller, Adam Bryant, Mitchell, Philip B., Mwangi, Benson, Nenadić, Igor, Ojha, Amar, Overs, Bronwyn J., Pfarr, Julia-Katharina, Piras, Fabrizio, Ringwald, Kai G., Roberts, Gloria, Romer, Georg, Sanches, Marsal, Sheridan, Margaret A., Soares, Jair C., Spalletta, Gianfranco, Stein, Frederike, Teresi, Giana I., Tordesillas-Gutiérrez, Diana, Uyar-Demir, Aslihan, van der Wee, Nic J. A., van der Werff, Steven J., Vermeiren, Robert R. J. M., Winter, Alexandra, Wu, Mon-Ju, Yang, Tony T., Thompson, Paul M., Rentería, Miguel E., Jahanshad, Neda, Blumberg, Hilary P., van Harmelen, Anne-Laura, and Schmaal, Lianne

Published
2022
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9. Deep Learning for Quality Control of Subcortical Brain 3D Shape Models

Author

Petrov, Dmitry, Kuznetsov, Boris A. Gutman Egor, van Erp, Theo G. M., Turner, Jessica A., Schmaal, Lianne, Veltman, Dick, Wang, Lei, Alpert, Kathryn, Isaev, Dmitry, Zavaliangos-Petropulu, Artemis, Ching, Christopher R. K., Calhoun, Vince, Glahn, David, Satterthwaite, Theodore D., Andreassen, Ole Andreas, Borgwardt, Stefan, Howells, Fleur, Groenewold, Nynke, Voineskos, Aristotle, Radua, Joaquim, Potkin, Steven G., Crespo-Facorro, Benedicto, Tordesillas-Gutierrez, Diana, Shen, Li, Lebedeva, Irina, Spalletta, Gianfranco, Donohoe, Gary, Kochunov, Peter, Rosa, Pedro G. P., James, Anthony, Dannlowski, Udo, Baune, Bernhard T., Aleman, Andre, Gotlib, Ian H., Walter, Henrik, Walter, Martin, Soares, Jair C., Ehrlich, Stefan, Gur, Ruben C., Doan, N. Trung, Agartz, Ingrid, Westlye, Lars T., Harrisberger, Fabienne, Riecher-Rossler, Anita, Uhlmann, Anne, Stein, Dan J., Dickie, Erin W., Pomarol-Clotet, Edith, Fuentes-Claramonte, Paola, Canales-Rodriguez, Erick Jorge, Salvador, Raymond, Huang, Alexander J., Roiz-Santianez, Roberto, Cong, Shan, Tomyshev, Alexander, Piras, Fabrizio, Vecchio, Daniela, Banaj, Nerisa, Ciullo, Valentina, Hong, Elliot, Busatto, Geraldo, Zanetti, Marcus V., Serpa, Mauricio H., Cervenka, Simon, Kelly, Sinead, Grotegerd, Dominik, Sacchet, Matthew D., Veer, Ilya M., Li, Meng, Wu, Mon-Ju, Irungu, Benson, Walton, Esther, and Thompson, Paul M.

Subjects
Quantitative Biology - Neurons and Cognition
Abstract

We present several deep learning models for assessing the morphometric fidelity of deep grey matter region models extracted from brain MRI. We test three different convolutional neural net architectures (VGGNet, ResNet and Inception) over 2D maps of geometric features. Further, we present a novel geometry feature augmentation technique based on a parametric spherical mapping. Finally, we present an approach for model decision visualization, allowing human raters to see the areas of subcortical shapes most likely to be deemed of failing quality by the machine. Our training data is comprised of 5200 subjects from the ENIGMA Schizophrenia MRI cohorts, and our test dataset contains 1500 subjects from the ENIGMA Major Depressive Disorder cohorts. Our final models reduce human rater time by 46-70%. ResNet outperforms VGGNet and Inception for all of our predictive tasks., Comment: Accepted to Shape in Medical Imaging (ShapeMI) workshop at MICCAI 2018. arXiv admin note: substantial text overlap with arXiv:1707.06353

Published
2018

10. Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging

Author

Petrov, Dmitry, Gutman, Boris A., Shih-Hua, Yu, van Erp, Theo G. M., Turner, Jessica A., Schmaal, Lianne, Veltman, Dick, Wang, Lei, Alpert, Kathryn, Isaev, Dmitry, Zavaliangos-Petropulu, Artemis, Ching, Christopher R. K., Calhoun, Vince, Glahn, David, Satterthwaite, Theodore D., Andreasen, Ole Andreas, Borgwardt, Stefan, Howells, Fleur, Groenewold, Nynke, Voineskos, Aristotle, Radua, Joaquim, Potkin, Steven G., Crespo-Facorro, Benedicto, Tordesillas-Gutierrez, Diana, Shen, Li, Lebedeva, Irina, Spalletta, Gianfranco, Donohoe, Gary, Kochunov, Peter, Rosa, Pedro G. P., James, Anthony, Dannlowski, Udo, Baune, Bernhard T., Aleman, Andre, Gotlib, Ian H., Walter, Henrik, Walter, Martin, Soares, Jair C., Ehrlich, Stefan, Gur, Ruben C., Doan, N. Trung, Agartz, Ingrid, Westlye, Lars T., Harrisberger, Fabienne, Riecher-Rossler, Anita, Uhlmann, Anne, Stein, Dan J., Dickie, Erin W., Pomarol-Clotet, Edith, Fuentes-Claramonte, Paola, Canales-Rodriguez, Erick Jorge, Salvador, Raymond, Huang, Alexander J., Roiz-Santianez, Roberto, Cong, Shan, Tomyshev, Alexander, Piras, Fabrizio, Vecchio, Daniela, Banaj, Nerisa, Ciullo, Valentina, Hong, Elliot, Busatto, Geraldo, Zanetti, Marcus V., Serpa, Mauricio H., Cervenka, Simon, Kelly, Sinead, Grotegerd, Dominik, Sacchet, Matthew D., Veer, Ilya M., Li, Meng, Wu, Mon-Ju, Irungu, Benson, Walton, Esther, and Thompson, Paul M.

Subjects
Quantitative Biology - Quantitative Methods
Abstract

As very large studies of complex neuroimaging phenotypes become more common, human quality assessment of MRI-derived data remains one of the last major bottlenecks. Few attempts have so far been made to address this issue with machine learning. In this work, we optimize predictive models of quality for meshes representing deep brain structure shapes. We use standard vertex-wise and global shape features computed homologously across 19 cohorts and over 7500 human-rated subjects, training kernelized Support Vector Machine and Gradient Boosted Decision Trees classifiers to detect meshes of failing quality. Our models generalize across datasets and diseases, reducing human workload by 30-70\%, or equivalently hundreds of human rater hours for datasets of comparable size, with recall rates approaching inter-rater reliability., Comment: Arxiv version of the MICCAI 2017 Machine Learning in Medical Imaging workshop paper

Published
2017

11. Normative modelling of brain morphometry across the lifespan with CentileBrain: algorithm benchmarking and model optimisation

Author

Ge, Ruiyang, primary, Yu, Yuetong, additional, Qi, Yi Xuan, additional, Fan, Yu-nan, additional, Chen, Shiyu, additional, Gao, Chuntong, additional, Haas, Shalaila S, additional, New, Faye, additional, Boomsma, Dorret I, additional, Brodaty, Henry, additional, Brouwer, Rachel M, additional, Buckner, Randy, additional, Caseras, Xavier, additional, Crivello, Fabrice, additional, Crone, Eveline A, additional, Erk, Susanne, additional, Fisher, Simon E, additional, Franke, Barbara, additional, Glahn, David C, additional, Dannlowski, Udo, additional, Grotegerd, Dominik, additional, Gruber, Oliver, additional, Hulshoff Pol, Hilleke E, additional, Schumann, Gunter, additional, Tamnes, Christian K, additional, Walter, Henrik, additional, Wierenga, Lara M, additional, Jahanshad, Neda, additional, Thompson, Paul M, additional, Frangou, Sophia, additional, Agartz, Ingrid, additional, Asherson, Philip, additional, Ayesa-Arriola, Rosa, additional, Banaj, Nerisa, additional, Banaschewski, Tobias, additional, Baumeister, Sarah, additional, Bertolino, Alessandro, additional, Borgwardt, Stefan, additional, Bourque, Josiane, additional, Brandeis, Daniel, additional, Breier, Alan, additional, Buitelaar, Jan K, additional, Cannon, Dara M, additional, Cervenka, Simon, additional, Conrod, Patricia J, additional, Crespo-Facorro, Benedicto, additional, Davey, Christopher G, additional, de Haan, Lieuwe, additional, de Zubicaray, Greig I, additional, Di Giorgio, Annabella, additional, Frodl, Thomas, additional, Gruner, Patricia, additional, Gur, Raquel E, additional, Gur, Ruben C, additional, Harrison, Ben J, additional, Hatton, Sean N, additional, Hickie, Ian, additional, Howells, Fleur M, additional, Huyser, Chaim, additional, Jernigan, Terry L, additional, Jiang, Jiyang, additional, Joska, John A, additional, Kahn, René S, additional, Kalnin, Andrew J, additional, Kochan, Nicole A, additional, Koops, Sanne, additional, Kuntsi, Jonna, additional, Lagopoulos, Jim, additional, Lazaro, Luisa, additional, Lebedeva, Irina S, additional, Lochner, Christine, additional, Martin, Nicholas G, additional, Mazoyer, Bernard, additional, McDonald, Brenna C, additional, McDonald, Colm, additional, McMahon, Katie L, additional, Medland, Sarah, additional, Modabbernia, Amirhossein, additional, Mwangi, Benson, additional, Nakao, Tomohiro, additional, Nyberg, Lars, additional, Piras, Fabrizio, additional, Portella, Maria J, additional, Qiu, Jiang, additional, Roffman, Joshua L, additional, Sachdev, Perminder S, additional, Sanford, Nicole, additional, Satterthwaite, Theodore D, additional, Saykin, Andrew J, additional, Sellgren, Carl M, additional, Sim, Kang, additional, Smoller, Jordan W, additional, Soares, Jair C, additional, Sommer, Iris E, additional, Spalletta, Gianfranco, additional, Stein, Dan J, additional, Thomopoulos, Sophia I, additional, Tomyshev, Alexander S, additional, Tordesillas-Gutiérrez, Diana, additional, Trollor, Julian N, additional, van 't Ent, Dennis, additional, van den Heuvel, Odile A, additional, van Erp, Theo GM, additional, van Haren, Neeltje EM, additional, Vecchio, Daniela, additional, Veltman, Dick J, additional, Wang, Yang, additional, Weber, Bernd, additional, Wei, Dongtao, additional, Wen, Wei, additional, Westlye, Lars T, additional, Williams, Steven CR, additional, Wright, Margaret J, additional, Wu, Mon-Ju, additional, and Yu, Kevin, additional

Published
2024
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12. Brain structural abnormalities in obesity: relation to age, genetic risk, and common psychiatric disorders: Evidence through univariate and multivariate mega-analysis including 6420 participants from the ENIGMA MDD working group

Author

Opel, Nils, Thalamuthu, Anbupalam, Milaneschi, Yuri, Grotegerd, Dominik, Flint, Claas, Leenings, Ramona, Goltermann, Janik, Richter, Maike, Hahn, Tim, Woditsch, Georg, Berger, Klaus, Hermesdorf, Marco, McIntosh, Andrew, Whalley, Heather C., Harris, Mathew A., MacMaster, Frank P., Walter, Henrik, Veer, Ilya M., Frodl, Thomas, Carballedo, Angela, Krug, Axel, Nenadic, Igor, Kircher, Tilo, Aleman, Andre, Groenewold, Nynke A., Stein, Dan J., Soares, Jair C., Zunta-Soares, Giovana B., Mwangi, Benson, Wu, Mon-Ju, Walter, Martin, Li, Meng, Harrison, Ben J., Davey, Christopher G., Cullen, Kathryn R., Klimes-Dougan, Bonnie, Mueller, Bryon A., Sämann, Philipp G., Penninx, Brenda, Nawijn, Laura, Veltman, Dick J., Aftanas, Lyubomir, Brak, Ivan V., Filimonova, Elena A., Osipov, Evgeniy A., Reneman, Liesbeth, Schrantee, Anouk, Grabe, Hans J., Van der Auwera, Sandra, Wittfeld, Katharina, Hosten, Norbert, Völzke, Henry, Sim, Kang, Gotlib, Ian H., Sacchet, Matthew D., Lagopoulos, Jim, Hatton, Sean N., Hickie, Ian, Pozzi, Elena, Thompson, Paul M., Jahanshad, Neda, Schmaal, Lianne, Baune, Bernhard T., and Dannlowski, Udo

Published
2021
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13. Cortical and subcortical brain structure in generalized anxiety disorder: findings from 28 research sites in the ENIGMA-Anxiety Working Group

Author

Harrewijn, Anita, Cardinale, Elise M., Groenewold, Nynke A., Bas-Hoogendam, Janna Marie, Aghajani, Moji, Hilbert, Kevin, Cardoner, Narcis, Porta-Casteràs, Daniel, Gosnell, Savannah, Salas, Ramiro, Jackowski, Andrea P., Pan, Pedro M., Salum, Giovanni A., Blair, Karina S., Blair, James R., Hammoud, Mira Z., Milad, Mohammed R., Burkhouse, Katie L., Phan, K. Luan, Schroeder, Heidi K., Strawn, Jeffrey R., Beesdo-Baum, Katja, Jahanshad, Neda, Thomopoulos, Sophia I., Buckner, Randy, Nielsen, Jared A., Smoller, Jordan W., Soares, Jair C., Mwangi, Benson, Wu, Mon-Ju, Zunta-Soares, Giovana B., Assaf, Michal, Diefenbach, Gretchen J., Brambilla, Paolo, Maggioni, Eleonora, Hofmann, David, Straube, Thomas, Andreescu, Carmen, Berta, Rachel, Tamburo, Erica, Price, Rebecca B., Manfro, Gisele G., Agosta, Federica, Canu, Elisa, Cividini, Camilla, Filippi, Massimo, Kostić, Milutin, Munjiza Jovanovic, Ana, Alberton, Bianca A. V., Benson, Brenda, Freitag, Gabrielle F., Filippi, Courtney A., Gold, Andrea L., Leibenluft, Ellen, Ringlein, Grace V., Werwath, Kathryn E., Zwiebel, Hannah, Zugman, André, Grabe, Hans J., Van der Auwera, Sandra, Wittfeld, Katharina, Völzke, Henry, Bülow, Robin, Balderston, Nicholas L., Ernst, Monique, Grillon, Christian, Mujica-Parodi, Lilianne R., van Nieuwenhuizen, Helena, Critchley, Hugo D., Makovac, Elena, Mancini, Matteo, Meeten, Frances, Ottaviani, Cristina, Ball, Tali M., Fonzo, Gregory A., Paulus, Martin P., Stein, Murray B., Gur, Raquel E., Gur, Ruben C., Kaczkurkin, Antonia N., Larsen, Bart, Satterthwaite, Theodore D., Harper, Jennifer, Myers, Michael, Perino, Michael T., Sylvester, Chad M., Yu, Qiongru, Lueken, Ulrike, Veltman, Dick J., Thompson, Paul M., Stein, Dan J., Van der Wee, Nic J. A., Winkler, Anderson M., and Pine, Daniel S.

Published
2021
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16. Correction: Brain structural abnormalities in obesity: relation to age, genetic risk, and common psychiatric disorders

Author

Opel, Nils, Thalamuthu, Anbupalam, Milaneschi, Yuri, Grotegerd, Dominik, Flint, Claas, Leenings, Ramona, Goltermann, Janik, Richter, Maike, Hahn, Tim, Woditsch, Georg, Berger, Klaus, Hermesdorf, Marco, McIntosh, Andrew, Whalley, Heather C., Harris, Mathew A., MacMaster, Frank P., Walter, Henrik, Veer, Ilya M., Frodl, Thomas, Carballedo, Angela, Krug, Axel, Nenadic, Igor, Kircher, Tilo, Aleman, Andre, Groenewold, Nynke A., Stein, Dan J., Soares, Jair C., Zunta-Soares, Giovana B., Mwangi, Benson, Wu, Mon-Ju, Walter, Martin, Li, Meng, Harrison, Ben J., Davey, Christopher G., Cullen, Kathryn R., Klimes-Dougan, Bonnie, Mueller, Bryon A., Sämann, Philipp G., Penninx, Brenda, Nawijn, Laura, Veltman, Dick J., Aftanas, Lyubomir, Brak, Ivan V., Filimonova, Elena A., Osipov, Evgeniy A., Reneman, Liesbeth, Schrantee, Anouk, Grabe, Hans J., Van der Auwera, Sandra, Wittfeld, Katharina, Hosten, Norbert, Völzke, Henry, Sim, Kang, Gotlib, Ian H., Sacchet, Matthew D., Lagopoulos, Jim, Hatton, Sean N., Hickie, Ian, Pozzi, Elena, Thompson, Paul M., Jahanshad, Neda, Schmaal, Lianne, Baune, Bernhard T., and Dannlowski, Udo

Published
2021
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19. Normative Modeling of Brain Morphometry Across the Lifespan using CentileBrain: Algorithm Benchmarking and Model Optimization

Author

Ge, Ruiyang, primary, Yu, Yuetong, additional, Qi, Yi Xuan, additional, Fan, Yunan Vera, additional, Chen, Shiyu, additional, Gao, Chuntong, additional, Haas, Shalaila S, additional, Modabbernia, Amirhossein, additional, New, Faye, additional, Agartz, Ingrid, additional, Asherson, Philip, additional, Ayesa-Arriola, Rosa, additional, Banaj, Nerisa, additional, Banaschewski, Tobias, additional, Baumeister, Sarah, additional, Bertolino, Alessandro, additional, Boomsma, Dorret I, additional, Borgwardt, Stefan, additional, Bourque, Josiane, additional, Brandeis, Daniel, additional, Breier, Alan, additional, Brodaty, Henry, additional, Brouwer, Rachel M, additional, Buckner, Randy, additional, Buitelaar, Jan K, additional, Cannon, Dara M, additional, Caseras, Xavier, additional, Cervenka, Simon, additional, Conrod, Patricia J, additional, Crespo-Facorro, Benedicto, additional, Crivello, Fabrice, additional, Crone, Eveline A, additional, de Haan, Liewe, additional, de Zubicaray, Greig I, additional, Di Giorgio, Annabella, additional, Erk, Susanne, additional, Fisher, Simon E, additional, Franke, Barbara, additional, Frodl, Thomas, additional, Glahn, David C, additional, Grotegerd, Dominik, additional, Gruber, Oliver, additional, Gruner, Patricia, additional, Gur, Raquel E, additional, Gur, Ruben C, additional, Harrison, Ben J, additional, Hatton, Sean N, additional, Hickie, Ian, additional, Howells, Fleur M, additional, Hulshoff Pol, Hilleke E, additional, Huyser, Chaim, additional, Jernigan, Terry L, additional, Jiang, Jiyang, additional, Joska, John A, additional, Kahn, Rene S, additional, Kalnin, Andrew J, additional, Kochan, Nicole A, additional, Koops, Sanne, additional, Kuntsi, Jonna, additional, Lagopoulos, Jim, additional, Lazaro, Luisa, additional, Lebedeva, Irina S, additional, Lochner, Christine, additional, Martin, Nicholas G, additional, Mazoyer, Bernard, additional, McDonald, Brenna C, additional, McDonald, Colm, additional, McMahon, Katie L, additional, Nakao, Tomohiro, additional, Nyberg, Lars, additional, Piras, Fabrizio, additional, Portella, Maria J, additional, Qiu, Jiang, additional, Roffman, Joshua L, additional, Sachdev, Perminder S, additional, Sanford, Nicole, additional, Saykin, Andrew J, additional, Satterthwaite, Theodore D, additional, Thomopolous, Sophia I, additional, Sellgren, Carl M, additional, Sim, Kang, additional, Smoller, Jordan W, additional, Soares, Jair, additional, Sommer, Iris E, additional, Spalletta, Gianfranco, additional, Stein, Dan J, additional, Tamnes, Christian K, additional, Tomyshev, Alexander S, additional, van Erp, Theo GM, additional, Tordesillas-Gutierrez, Diana, additional, Trollor, Julian N, additional, van 't Ent, Dennis, additional, van den Heuvel, Odile A, additional, van Haren, Neeltje EM, additional, Vecchio, Daniela, additional, Veltman, Dick J, additional, Wei, Dongtao, additional, Walter, Henrik, additional, Wang, Yang, additional, Weber, Bernd, additional, Wright, Margaret J, additional, Wen, Wei, additional, Westlye, Lars T, additional, Wierenga, Lara M, additional, Thompson, Paul M, additional, Williams, Steven CR, additional, Medland, Sarah, additional, Wu, Mon-Ju, additional, Yu, Kevin, additional, Jahanshad, Neda, additional, and Frangou, Sophia, additional

Published
2023
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20. Bridging Big Data: Procedures for Combining Non-equivalent Cognitive Measures from the ENIGMA Consortium

Author

Kennedy, Eamonn, primary, Vadlamani, Shashank, additional, Lindsey, Hannah M, additional, Lei, Pui-Wa, additional, Jo-Pugh, Mary, additional, Adamson, Maheen, additional, Alda, Martin, additional, Alonso-Lana, Silvia, additional, Ambrogi, Sonia, additional, Anderson, Tim J, additional, Arango, Celso, additional, Asarnow, Robert F, additional, Avram, Mihai, additional, Ayesa-Arriola, Rosa, additional, Babikian, Talin, additional, Banaj, Nerisa, additional, Bird, Laura J, additional, Borgwardt, Stefan, additional, Brodtmann, Amy, additional, Brosch, Katharina, additional, Caeyenberghs, Karen, additional, Calhoun, Vince D, additional, Chiaravalloti, Nancy D, additional, Cifu, David X, additional, Crespo-Facorro, Benedicto, additional, Dalrymple-Alford, John C, additional, Dams-O’Connor, Kristen, additional, Dannlowski, Udo, additional, Darby, David, additional, Davenport, Nicholas, additional, DeLuca, John, additional, Diaz-Caneja, Covadonga M, additional, Disner, Seth G, additional, Dobryakova, Ekaterina, additional, Ehrlich, Stefan, additional, Esopenko, Carrie, additional, Ferrarelli, Fabio, additional, Frank, Lea E, additional, Franz, Carol, additional, Fuentes-Claramonte, Paola, additional, Genova, Helen, additional, Giza, Christopher C, additional, Goltermann, Janik, additional, Grotegerd, Dominik, additional, Gruber, Marius, additional, Gutierrez-Zotes, Alfonso, additional, Ha, Minji, additional, Haavik, Jan, additional, Hinkin, Charles, additional, Hoskinson, Kristen R, additional, Hubl, Daniela, additional, Irimia, Andrei, additional, Jansen, Andreas, additional, Kaess, Michael, additional, Kang, Xiaojian, additional, Kenney, Kimbra, additional, Keřková, Barbora, additional, Khlif, Mohamed Salah, additional, Kim, Minah, additional, Kindler, Jochen, additional, Kircher, Tilo, additional, Knížková, Karolina, additional, Kolskår, Knut K, additional, Krch, Denise, additional, Kremen, William S, additional, Kuhn, Taylor, additional, Kumari, Veena, additional, Kwon, Jun Soo, additional, Langella, Roberto, additional, Laskowitz, Sarah, additional, Lee, Jungha, additional, Lengenfelder, Jean, additional, Liebel, Spencer W, additional, Liou-Johnson, Victoria, additional, Lippa, Sara M, additional, Løvstad, Marianne, additional, Lundervold, Astri, additional, Marotta, Cassandra, additional, Marquardt, Craig A, additional, Mattos, Paulo, additional, Mayeli, Ahmad, additional, McDonald, Carrie R, additional, Meinert, Susanne, additional, Melzer, Tracy R, additional, Merchán-Naranjo, Jessica, additional, Michel, Chantal, additional, Morey, Rajendra A, additional, Mwangi, Benson, additional, Myall, Daniel J, additional, Nenadić, Igor, additional, Newsome, Mary R, additional, Nunes, Abraham, additional, O’Brien, Terence, additional, Oertel, Viola, additional, Ollinger, John, additional, Olsen, Alexander, additional, de la Foz, Victor Ortiz García, additional, Ozmen, Mustafa, additional, Pardoe, Heath, additional, Parent, Marise, additional, Piras, Fabrizio, additional, Piras, Federica, additional, Pomarol-Clotet, Edith, additional, Repple, Jonathan, additional, Richard, Geneviève, additional, Rodriguez, Jonathan, additional, Rodriguez, Mabel, additional, Rootes-Murdy, Kelly, additional, Rowland, Jared, additional, Ryan, Nicholas P, additional, Salvador, Raymond, additional, Sanders, Anne-Marthe, additional, Schmidt, Andre, additional, Soares, Jair C, additional, Spalleta, Gianfranco, additional, Španiel, Filip, additional, Stasenko, Alena, additional, Stein, Frederike, additional, Straube, Benjamin, additional, Thames, April, additional, Thomas-Odenthal, Florian, additional, Thomopoulos, Sophia I, additional, Tone, Erin, additional, Torres, Ivan, additional, Troyanskaya, Maya, additional, Turner, Jessica A, additional, Ulrichsen, Kristine M, additional, Umpierrez, Guillermo, additional, Vilella, Elisabet, additional, Vivash, Lucy, additional, Walker, William C, additional, Werden, Emilio, additional, Westlye, Lars T, additional, Wild, Krista, additional, Wroblewski, Adrian, additional, Wu, Mon-Ju, additional, Wylie, Glenn R, additional, Yatham, Lakshmi N, additional, Zunta-Soares, Giovana B, additional, Thompson, Paul M, additional, Tate, David F, additional, Hillary, Frank G, additional, Dennis, Emily L, additional, and Wilde, Elisabeth A, additional

Published
2023
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28. Brain-Based Classification of Youth with Anxiety Disorders: an ENIGMA-ANXIETY Transdiagnostic Examination using Machine Learning

Author

Bruin, Willem B., primary, Zhutovsky, Paul, additional, van Wingen, Guido, additional, Bas-Hoogendam, Janna Marie, additional, Groenewold, Nynke A., additional, Hilbert, Kevin, additional, Winkler, Anderson M., additional, Zugman, André, additional, Agosta, Federica, additional, Åhs, Fredrik, additional, Andreescu, Carmen, additional, Antonacci, Chase, additional, Asami, Takeshi, additional, Assaf, Michal, additional, Barber, Jacques, additional, Bauer, Jochen, additional, Bavdekar, Shreya, additional, Beesdo-Baum, Katja, additional, Benedetti, Francesco, additional, Bernstein, Rachel, additional, Björkstrand, Johannes, additional, Blair, Robert, additional, Blair, Karina S., additional, Blanco-Hinojo, Laura, additional, Böhnlein, Joscha, additional, Brambilla, Paolo, additional, Bressan, Rodrigo, additional, Breuer, Fabian, additional, Cano, Marta, additional, Canu, Elisa, additional, Cardinale, Elise M, additional, Cardoner, Narcís, additional, Cividini, Camilla, additional, Cremers, Henk, additional, Dannlowski, Udo, additional, Diefenbach, Gretchen J., additional, Domschke, Katharina, additional, Doruyter, Alexander, additional, Dresler, Thomas, additional, Erhardt, Angelika, additional, Filippi, Massimo, additional, Fonzo, Gregory, additional, Freitag, Gabrielle Felice, additional, Furmark, Tomas, additional, Ge, Tian, additional, Gerber, Andrew J., additional, Gosnell, Savannah, additional, Grabe, Hans J., additional, Grotegerd, Dominik, additional, Gur, Ruben C., additional, Gur, Raquel E., additional, Hamm, Alfons O., additional, Han, Laura K. M., additional, Harper, Jennifer, additional, Harrewijn, Anita, additional, Heeren, Alexandre, additional, Hoffman, David, additional, Jackowski, Andrea P., additional, Jahanshad, Neda, additional, Jett, Laura, additional, Kaczkurkin, Antonia N., additional, Khosravi, Parmis, additional, Kingsley, Ellen, additional, Kircher, Tilo, additional, Kostić, Milutin, additional, Larsen, Bart, additional, Lee, Sang-Hyuk, additional, Leehr, Elisabeth, additional, Leibenluft, Ellen, additional, Lochner, Christine, additional, Lui, Su, additional, Maggioni, Eleonora, additional, Manfro, Gisele Gus, additional, Månsson, Kristoffer, additional, Marino, Claire, additional, Meeten, Frances, additional, Milrod, Barbara, additional, Munjiza, Ana, additional, Irungu, Benson, additional, Myers, Michael, additional, Neufang, Susanne, additional, Nielsen, Jared, additional, Ohrmann, Patricia, additional, Ottaviani, Cristina, additional, Paulus, Martin P, additional, Perino, Michael T., additional, Phan, K Luan, additional, Poletti, Sara, additional, Porta-Casteràs, Daniel, additional, Pujol, Jesus, additional, Reinecke, Andrea, additional, Ringlein, Grace, additional, Rjabtsenkov, Pavel, additional, Roelofs, Karin, additional, Salas, Ramiro, additional, Salum, Giovanni, additional, Satterthwaite, Theodore D., additional, Schrammen, Elisabeth, additional, Sindermann, Lisa, additional, Smoller, Jordan, additional, Soares, Jair, additional, Stark, Rudolf, additional, Stein, Frederike, additional, straube, thomas, additional, Straube, Benjamin, additional, Strawn, Jeffrey, additional, Suarez-Jimenez, Benjamin, additional, Sylvester, Chad M., additional, Talati, Ardesheer, additional, Thomopoulos, Sophia I, additional, Tükel, Raşit, additional, van Nieuwenhuizen, Helena, additional, Werwath, Katy E., additional, Wittfeld, Katharina, additional, Wright, Barry, additional, Wu, Mon-Ju, additional, Yang, Yunbo, additional, Zilverstand, Anna, additional, Zwanzger, Peter, additional, Blackford, Jennifer, additional, Avery, Suzanne, additional, Clauss, Jacqueline, additional, Lueken, Ulrike, additional, Thompson, Paul, additional, Pine, Daniel, additional, Stein, Dan J., additional, van der Wee, Nic, additional, Veltman, Dick, additional, and Aghajani, Moji, additional

Published
2022
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29. ENIGMA generalized anxiety disorder

Author

Harrewijn, Anita, Cardinale, Elise, Bas-Hoogendam, Janna Marie, Groenewold, Nynke, Stein, Dan, van der Wee, Nic, Buckner, Randy, Fonzo, Gregory, Manfro, Gisele, Mwangi, Benson, Nielsen, Jared, Paulus, Martin, Salum, Giovanni, Jordan Smoller, ScD, Soares, Jair, Stein, Murray, Strawn, Jeffrey, Wu, Mon-Ju, group, ENIGMA, Thompson, Paul, Winkler, Anderson, and Pine, Daniel

Subjects
endocrine system
Abstract

Comparing cortical and subcortical brain structure between patients with generalized anxiety disorder and healthy comparison subjects – findings from the ENIGMA Generalized Anxiety Disorder Working Group

Published
2022
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30. The role of educational attainment and brain morphology in major depressive disorder: Findings from the ENIGMA major depressive disorder consortium.

Author

Whittle, Sarah, primary, Rakesh, Divyangana, additional, Schmaal, Lianne, additional, Veltman, Dick J., additional, Thompson, Paul M., additional, Singh, Aditya, additional, Gonul, Ali Saffet, additional, Aleman, Andre, additional, Uyar Demir, Aslıhan, additional, Krug, Axel, additional, Mwangi, Benson, additional, Krämer, Bernd, additional, Baune, Bernhard T., additional, Stein, Dan J., additional, Grotegerd, Dominik, additional, Pomarol-Clotet, Edith, additional, Rodríguez-Cano, Elena, additional, Melloni, Elisa, additional, Benedetti, Francesco, additional, Stein, Frederike, additional, Grabe, Hans J., additional, Völzke, Henry, additional, Gotlib, Ian H., additional, Nenadić, Igor, additional, Soares, Jair C., additional, Repple, Jonathan, additional, Sim, Kang, additional, Brosch, Katharina, additional, Wittfeld, Katharina, additional, Berger, Klaus, additional, Hermesdorf, Marco, additional, Portella, Maria J., additional, Sacchet, Matthew D., additional, Wu, Mon-Ju, additional, Opel, Nils, additional, Groenewold, Nynke A., additional, Gruber, Oliver, additional, Fuentes-Claramonte, Paola, additional, Salvador, Raymond, additional, Goya-Maldonado, Roberto, additional, Sarró, Salvador, additional, Poletti, Sara, additional, Meinert, Susanne L., additional, Kircher, Tilo, additional, Dannlowski, Udo, additional, and Pozzi, Elena, additional

Published
2022
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32. White matter microstructure associated with anhedonia among individuals with bipolar disorders and high-risk for bipolar disorders

Author

Diaz, Alexandre Paim, primary, Fernandes, Brisa S., additional, Teixeira, Antonio Lucio, additional, Mwangi, Benson, additional, Hasan, Khader M., additional, Wu, Mon-Ju, additional, Selvaraj, Sudhakar, additional, Suen, Paulo, additional, Zanao, Tamires Araujo, additional, Brunoni, Andre R., additional, Sanches, Marsal, additional, and Soares, Jair C., additional

Published
2022
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33. Brain structural abnormalities in obesity: relation to age, genetic risk, and common psychiatric disorders

Author

Opel, Nils, Thalamuthu, Anbupalam, Milaneschi, Yuri, Grotegerd, Dominik, Flint, Claas, Leenings, Ramona, Goltermann, Janik, Richter, Maike, Hahn, Tim, Woditsch, Georg, Berger, Klaus, Hermesdorf, Marco, McIntosh, Andrew, Whalley, Heather C., Harris, Mathew A., MacMaster, Frank P., Walter, Henrik, Veer, Ilya M., Frodl, Thomas, Carballedo, Angela, Krug, Axel, Nenadic, Igor, Kircher, Tilo, Aleman, Andre, Groenewold, Nynke A., Stein, Dan J., Soares, Jair C., Zunta-Soares, Giovana B., Mwangi, Benson, Wu, Mon-Ju, Walter, Martin, Li, Meng, Harrison, Ben J., Davey, Christopher G., Cullen, Kathryn R., Klimes-Dougan, Bonnie, Mueller, Bryon A., Sämann, Philipp G., Penninx, Brenda, Nawijn, Laura, Veltman, Dick J., Aftanas, Lyubomir, Brak, Ivan V., Filimonova, Elena A., Osipov, Evgeniy A., Reneman, Liesbeth, Schrantee, Anouk, Grabe, Hans J., Van der Auwera, Sandra, Wittfeld, Katharina, Hosten, Norbert, Völzke, Henry, Sim, Kang, Gotlib, Ian H., Sacchet, Matthew D., Lagopoulos, Jim, Hatton, Sean N., Hickie, Ian, Pozzi, Elena, Thompson, Paul M., Jahanshad, Neda, Schmaal, Lianne, Baune, Bernhard T., and Dannlowski, Udo

Subjects
Depression, Diagnostic markers, Article
Abstract

Emerging evidence suggests that obesity impacts brain physiology at multiple levels. Here we aimed to clarify the relationship between obesity and brain structure using structural MRI (n = 6420) and genetic data (n = 3907) from the ENIGMA Major Depressive Disorder (MDD) working group. Obesity (BMI > 30) was significantly associated with cortical and subcortical abnormalities in both mass-univariate and multivariate pattern recognition analyses independent of MDD diagnosis. The most pronounced effects were found for associations between obesity and lower temporo-frontal cortical thickness (maximum Cohen´s d (left fusiform gyrus) = −0.33). The observed regional distribution and effect size of cortical thickness reductions in obesity revealed considerable similarities with corresponding patterns of lower cortical thickness in previously published studies of neuropsychiatric disorders. A higher polygenic risk score for obesity significantly correlated with lower occipital surface area. In addition, a significant age-by-obesity interaction on cortical thickness emerged driven by lower thickness in older participants. Our findings suggest a neurobiological interaction between obesity and brain structure under physiological and pathological brain conditions.

Published
2020

34. Building and Advancing Coalition Capacity to Promote Health Equity: Insights from the Health Equity Collective's Approach to Addressing Social Determinants of Health

Author

John, Jemima C., primary, Kaleemullah, Tanweer, additional, McPherson, Heidi, additional, Mahata, Kallol, additional, Morrow, Robert B., additional, Bujnowski, Deborah, additional, Johnston, Alicia, additional, Danho, Melisa, additional, Siddiqui, Nadia, additional, Walsh, Michael T., additional, Haley, Sean A., additional, Sirajuddin, Anwar M., additional, Schauer, Timothy, additional, Wu, Mon-Ju, additional, Rechis, Ruth, additional, Galvan, Esperanza, additional, Correa, Nancy, additional, Browning, Nikki, additional, Ganelin, Deborah, additional, Gonzalez, Jennifer, additional, Lofton, Staci, additional, Banerjee, Deborah, additional, and Sharma, Shreela V., additional

Published
2021
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35. Structural brain alterations associated with suicidal thoughts and behaviors in young people: results across 21 international studies from the ENIGMA Suicidal Thoughts and Behaviours consortium

Author

van Velzen, Laura S., primary, Dauvermann, Maria R., additional, Colic, Lejla, additional, Villa, Luca M., additional, Savage, Hannah S., additional, Toenders, Yara J., additional, Zhu, Alyssa H., additional, Bright, Joanna K., additional, Campos, Adrián I., additional, Salminen, Lauren, additional, Ambrogi, Sonia, additional, Ayesa-Arriola, Rosa, additional, Banaj, Nerisa, additional, Başgöze, Zeynep, additional, Bauer, Jochen, additional, Blair, Karina, additional, Blair, Robert James, additional, Brosch, Katharina, additional, Cheng, Yuqi, additional, Colle, Romain, additional, Connolly, Colm G., additional, Corruble, Emmanuelle, additional, Couvy-Duchesne, Baptiste, additional, Crespo-Facorro, Benedicto, additional, Cullen, Kathryn R., additional, Dannlowski, Udo, additional, Davey, Christopher G., additional, Dohm, Katharina, additional, Fullerton, Janice M., additional, Gonul, Ali Saffet, additional, Gotlib, Ian H., additional, Grotegerd, Dominik, additional, Hahn, Tim, additional, Harrison, Ben J., additional, He, Mengxin, additional, Hickie, Ian B., additional, Ho, Tiffany C., additional, Iorfino, Frank, additional, Jansen, Andreas, additional, Jollant, Fabrice, additional, Kircher, Tilo, additional, Klimes-Dougan, Bonnie, additional, Klug, Melissa, additional, Leehr, Elisabeth J., additional, Lippard, Elizabeth T.C., additional, McLaughlin, Katie A., additional, Meinert, Susanne, additional, Miller, Adam Bryant, additional, Mitchell, Philip B., additional, Mwangi, Benson, additional, Nenadić, Igor, additional, Ojha, Amar, additional, Overs, Bronwyn J., additional, Pfarr, Julia-Katharina, additional, Piras, Fabrizio, additional, Ringwald, Kai G., additional, Roberts, Gloria, additional, Romer, Georg, additional, Sanches, Marsal, additional, Sheridan, Margaret A., additional, Soares, Jair C, additional, Spalletta, Gianfranco, additional, Stein, Frederike, additional, Teresi, Giana I., additional, Tordesillas-Gutiérrez, Diana, additional, Uyar-Demir, Aslihan, additional, van der Wee, Nic J.A., additional, van der Werff, Steven J., additional, Vermeiren, Robert R.J.M., additional, Winter, Alexandra, additional, Wu, Mon-Ju, additional, Yang, Tony T., additional, Thompson, Paul M., additional, Rentería, Miguel E., additional, Jahanshad, Neda, additional, Blumberg, Hilary P., additional, van Harmelen, Anne-Laura, additional, and Schmaal, Lianne, additional

Published
2021
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37. Virtual Histology of Cortical Thickness and Shared Neurobiology in 6 Psychiatric Disorders

Author

Committee, Writing, Disorder, Autism Spectrum, French, Leon, Grevet, Eugenio H, Groenewold, Nynke A, Grotegerd, Dominik, Gruber, Oliver, Gruner, Patricia, Guerrero-Pedraza, Amalia, Gur, Raquel E, Gur, Ruben C, Haar, Shlomi, Haarman, Bartholomeus C M, Thomopoulos, Sophia I, Haavik, Jan, Hahn, Tim, Hajek, Tomas, Harrison, Benjamin J, Harrison, Neil A, Hartman, Catharina A, Whalley, Heather C, Heslenfeld, Dirk J, Hibar, Derrek P, Hilland, Eva, Pozzi, Elena, Hirano, Yoshiyuki, Ho, Tiffany C, Hoekstra, Pieter J, Hoekstra, Liesbeth, Hohmann, Sarah, Hong, L. E., Höschl, Cyril, Høvik, Marie F, Howells, Fleur M, Nenadic, Igor, Abe, Yoshinari, Jalbrzikowski, Maria, James, Anthony C, Janssen, Joost, Jaspers-Fayer, Fern, Xu, Jian, Jonassen, Rune, Karkashadze, Georgii, King, Joseph A, Kircher, Tilo, Kirschner, Matthias, Abé, Christoph, Koch, Kathrin, Kochunov, Peter, Kohls, Gregor, Konrad, Kerstin, Krämer, Bernd, Krug, Axel, Kuntsi, Jonna, Kwon, Jun Soo, Landén, Mikael, Landrø, Nils I, Anticevic, Alan, Lazaro, Luisa, Lebedeva, Irina S, Leehr, Elisabeth J, Lera-Miguel, Sara, Lesch, Klaus-Peter, Lochner, Christine, Louza, Mario R, Luna, Beatriz, Lundervold, Astri J, MacMaster, Frank P, Alda, Martin, Maglanoc, Luigi A, Malpas, Charles B, Portella, Maria J, Marsh, Rachel, Martyn, Fiona M, Mataix-Cols, David, Mathalon, Daniel H, McCarthy, Hazel, McDonald, Colm, McPhilemy, Genevieve, Aleman, Andre, Meinert, Susanne, Menchón, José M, Minuzzi, Luciano, Mitchell, Philip B, Moreno, Carmen, Morgado, Pedro, Muratori, Filippo, Murphy, Clodagh M, Murphy, Declan, Mwangi, Benson, Alloza, Clara, Nabulsi, Leila, Nakagawa, Akiko, Nakamae, Takashi, Namazova, Leyla, Narayanaswamy, Janardhanan, Jahanshad, Neda, Nguyen, Danai D, Nicolau, Rosa, O'Gorman Tuura, Ruth L, O'Hearn, Kirsten, Alonso-Lana, Silvia, Oosterlaan, Jaap, Opel, Nils, Ophoff, Roel A, Oranje, Bob, García de la Foz, Victor Ortiz, Overs, Bronwyn J, Paloyelis, Yannis, Pantelis, Christos, Parellada, Mara, Pauli, Paul, Disorder, Bipolar, Ameis, Stephanie H, Picó-Pérez, Maria, Picon, Felipe A, Piras, Fabrizio, Piras, Federica, Plessen, Kerstin J, Pomarol-Clotet, Edith, Preda, Adrian, Puig, Olga, Quidé, Yann, Radua, Joaquim, Anagnostou, Evdokia, Ramos-Quiroga, J Antoni, Rasser, Paul E, Rauer, Lisa, Reddy, Janardhan, Redlich, Ronny, Reif, Andreas, Reneman, Liesbeth, Repple, Jonathan, Retico, Alessandra, Richarte, Vanesa, McIntosh, Andrew A, Richter, Anja, Rosa, Pedro G P, Rubia, Katya K, Hashimoto, Ryota, Sacchet, Matthew D, Salvador, Raymond, Santonja, Javier, Sarink, Kelvin, Sarró, Salvador, Satterthwaite, Theodore D, Arango, Celso, Sawa, Akira, Schall, Ulrich, Schofield, Peter R, Schrantee, Anouk, Seitz, Jochen, Serpa, Mauricio H, Setién-Suero, Esther, Shaw, Philip, Shook, Devon, Silk, Tim J, Arnold, Paul D, Sim, Kang, Simon, Schmitt, Simpson, Helen Blair, Singh, Aditya, Skoch, Antonin, Skokauskas, Norbert, Soares, Jair C, Soreni, Noam, Soriano-Mas, Carles, Spalletta, Gianfranco, Asherson, Philip, Spaniel, Filip, Lawrie, Stephen M, Stern, Emily R, Stewart, S Evelyn, Takayanagi, Yoichiro, Temmingh, Henk S, Tolin, David F, Tomecek, David, Tordesillas-Gutiérrez, Diana, Tosetti, Michela, Assogna, Francesca, Uhlmann, Anne, van Amelsvoort, Therese, van der Wee, Nic J A, van der Werff, Steven J A, van Haren, Neeltje E M, van Wingen, Guido A, Vance, Alasdair, Vázquez-Bourgon, Javier, Vecchio, Daniela, Venkatasubramanian, Ganesan, Auzias, Guillaume, Vieta, Eduard, Vilarroya, Oscar, Vives-Gilabert, Yolanda, Voineskos, Aristotle N, Völzke, Henry, von Polier, Georg G, Walton, Esther, Weickert, Thomas W, Weickert, Cynthia Shannon, Weideman, Andrea S, Ayesa-Arriola, Rosa, Wittfeld, Katharina, Wolf, Daniel H, Wu, Mon-Ju, Yang, T. T., Yang, Sikun, Yoncheva, Yuliya, Yun, Je-Yeon, Cheng, Yuqi, Zanetti, Marcus V, Ziegler, Georg C, Bakker, Geor, Franke, Barbara, Hoogman, Martine, Buitelaar, Jan K, van Rooij, Daan, Andreassen, Ole A, Ching, Christopher R K, Veltman, Dick J, Schmaal, Lianne, Stein, Dan J, van den Heuvel, Odile A, Disorder, Major Depressive, Banaj, Nerisa, Turner, Jessica A, van Erp, Theo G M, Pausova, Zdenka, Thompson, Paul M, Paus, Tomáš, Attention-Deficit/Hyperactivity Disorder, Banaschewski, Tobias, Bandeira, Cibele E, Baranov, Alexandr, Bargalló, Núria, Bau, Claiton H D, Baumeister, Sarah, Baune, Bernhard T, Bellgrove, Mark A, Benedetti, Francesco, Disorder, Obsessive-Compulsive, Bertolino, Alessandro, Boedhoe, Premika S W, Boks, Marco, Bollettini, Irene, Del Mar Bonnin, Caterina, Borgers, Tiana, Borgwardt, Stefan, Brandeis, Daniel, Brennan, Brian P, Bruggemann, Jason M, Groups, Schizophrenia ENIGMA Working, Bülow, Robin, Busatto, Geraldo F, Calderoni, Sara, Calhoun, Vince D, Calvo, Rosa, Canales-Rodríguez, Erick J, Cannon, Dara M, Carr, Vaughan J, Cascella, Nicola, Cercignani, Mara, Patel, Yash, Chaim-Avancini, Tiffany M, Christakou, Anastasia, Coghill, David, Conzelmann, Annette, Crespo-Facorro, Benedicto, Cubillo, Ana I, Cullen, Kathryn R, Cupertino, Renata B, Daly, Eileen, Dannlowski, Udo, Parker, Nadine, Davey, Christopher G, Denys, Damiaan, Deruelle, Christine, Di Giorgio, Annabella, Dickie, Erin W, Dima, Danai, Dohm, Katharina, Ehrlich, Stefan, Ely, Benjamin A, Erwin-Grabner, Tracy, Shin, Jean, Ethofer, Thomas, Fair, Damien A, Fallgatter, Andreas, Faraone, Stephen V, Fatjó-Vilas, Mar, Fedor, Jennifer M, Fitzgerald, Kate D, Ford, Judith M, Frodl, Thomas, Fu, Cynthia H Y, Howard, Derek, Fullerton, Janice M, Gabel, Matt C, Glahn, David C, Roberts, Gloria, Gogberashvili, Tinatin, Goikolea, Jose M, Gotlib, Ian H, Goya-Maldonado, Roberto, Grabe, Hans, Green, Melissa J, Patel, Y., Parker, N., Shin, J., Howard, D., French, L., Thomopoulos, S. I., Pozzi, E., Abe, Y., Abe, C., Anticevic, A., Alda, M., Aleman, A., Alloza, C., Alonso-Lana, S., Ameis, S. H., Anagnostou, E., Mcintosh, A. A., Arango, C., Arnold, P. D., Asherson, P., Assogna, F., Auzias, G., Ayesa-Arriola, R., Bakker, G., Banaj, N., Banaschewski, T., Bandeira, C. E., Baranov, A., Bargallo, N., Bau, C. H. D., Baumeister, S., Baune, B. T., Bellgrove, M. A., Benedetti, F., Bertolino, A., Boedhoe, P. S. W., Boks, M., Bollettini, I., Del Mar Bonnin, C., Borgers, T., Borgwardt, S., Brandeis, D., Brennan, B. P., Bruggemann, J. M., Bulow, R., Busatto, G. F., Calderoni, S., Calhoun, V. D., Calvo, R., Canales-Rodriguez, E. J., Cannon, D. M., Carr, V. J., Cascella, N., Cercignani, M., Chaim-Avancini, T. M., Christakou, A., Coghill, D., Conzelmann, A., Crespo-Facorro, B., Cubillo, A. I., Cullen, K. R., Cupertino, R. B., Daly, E., Dannlowski, U., Davey, C. G., Denys, D., Deruelle, C., Di Giorgio, A., Dickie, E. W., Dima, D., Dohm, K., Ehrlich, S., Ely, B. A., Erwin-Grabner, T., Ethofer, T., Fair, D. A., Fallgatter, A. J., Faraone, S. V., Fatjo-Vilas, M., Fedor, J. M., Fitzgerald, K. D., Ford, J. M., Frodl, T., Fu, C. H. Y., Fullerton, J. M., Gabel, M. C., Glahn, D. C., Roberts, G., Gogberashvili, T., Goikolea, J. M., Gotlib, I. H., Goya-Maldonado, R., Grabe, H. J., Green, M. J., Grevet, E. H., Groenewold, N. A., Grotegerd, D., Gruber, O., Gruner, P., Guerrero-Pedraza, A., Gur, R. E., Gur, R. C., Haar, S., Haarman, B. C. M., Haavik, J., Hahn, T., Hajek, T., Harrison, B. J., Harrison, N. A., Hartman, C. A., Whalley, H. C., Heslenfeld, D. J., Hibar, D. P., Hilland, E., Hirano, Y., Ho, T. C., Hoekstra, P. J., Hoekstra, L., Hohmann, S., Hong, L. E., Hoschl, C., Hovik, M. F., Howells, F. M., Nenadic, I., Jalbrzikowski, M., James, A. C., Janssen, J., Jaspers-Fayer, F., Xu, J., Jonassen, R., Karkashadze, G., King, J. A., Kircher, T., Kirschner, M., Koch, K., Kochunov, P., Kohls, G., Konrad, K., Kramer, B., Krug, A., Kuntsi, J., Kwon, J. S., Landen, M., Landro, N. I., Lazaro, L., Lebedeva, I. S., Leehr, E. J., Lera-Miguel, S., Lesch, K. -P., Lochner, C., Louza, M. R., Luna, B., Lundervold, A. J., Macmaster, F. P., Maglanoc, L. A., Malpas, C. B., Portella, M. J., Marsh, R., Martyn, F. M., Mataix-Cols, D., Mathalon, D. H., Mccarthy, H., Mcdonald, C., Mcphilemy, G., Meinert, S., Menchon, J. M., Minuzzi, L., Mitchell, P. B., Moreno, C., Morgado, P., Muratori, F., Murphy, C. M., Murphy, D., Mwangi, B., Nabulsi, L., Nakagawa, A., Nakamae, T., Namazova, L., Narayanaswamy, J., Jahanshad, N., Nguyen, D. D., Nicolau, R., O'Gorman Tuura, R. L., O'Hearn, K., Oosterlaan, J., Opel, N., Ophoff, R. A., Oranje, B., Garcia De La Foz, V. O., Overs, B. J., Paloyelis, Y., Pantelis, C., Parellada, M., Pauli, P., Pico-Perez, M., Picon, F. A., Piras, F., Plessen, K. J., Pomarol-Clotet, E., Preda, A., Puig, O., Quide, Y., Radua, J., Ramos-Quiroga, J. A., Rasser, P. E., Rauer, L., Reddy, J., Redlich, R., Reif, A., Reneman, L., Repple, J., Retico, A., Richarte, V., Richter, A., Rosa, P. G. P., Rubia, K. K., Hashimoto, R., Sacchet, M. D., Salvador, R., Santonja, J., Sarink, K., Sarro, S., Satterthwaite, T. D., Sawa, A., Schall, U., Schofield, P. R., Schrantee, A., Seitz, J., Serpa, M. H., Setien-Suero, E., Shaw, P., Shook, D., Silk, T. J., Sim, K., Simon, S., Simpson, H. B., Singh, A., Skoch, A., Skokauskas, N., Soares, J. C., Soreni, N., Soriano-Mas, C., Spalletta, G., Spaniel, F., Lawrie, S. M., Stern, E. R., Stewart, S. E., Takayanagi, Y., Temmingh, H. S., Tolin, D. F., Tomecek, D., Tordesillas-Gutierrez, D., Tosetti, M., Uhlmann, A., Van Amelsvoort, T., Van Der Wee, N. J. A., Van Der Werff, S. J. A., Van Haren, N. E. M., Van Wingen, G. A., Vance, A., Vazquez-Bourgon, J., Vecchio, D., Venkatasubramanian, G., Vieta, E., Vilarroya, O., Vives-Gilabert, Y., Voineskos, A. N., Volzke, H., Von Polier, G. G., Walton, E., Weickert, T. W., Weickert, C. S., Weideman, A. S., Wittfeld, K., Wolf, D. H., Wu, M. -J., Yang, T. T., Yang, K., Yoncheva, Y., Yun, J. -Y., Cheng, Y., Zanetti, M. V., Ziegler, G. C., Franke, B., Hoogman, M., Buitelaar, J. K., Van Rooij, D., Andreassen, O. A., Ching, C. R. K., Veltman, D. J., Schmaal, L., Stein, D. J., Van Den Heuvel, O. A., Turner, J. A., Van Erp, T. G. M., Pausova, Z., Thompson, P. M., Paus, T., Institut de Neurosciences de la Timone (INT), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Pediatric surgery, Radiology and nuclear medicine, Anatomy and neurosciences, Psychiatry, Amsterdam Neuroscience - Brain Imaging, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Amsterdam Neuroscience - Neurodegeneration, Psychiatrie & Neuropsychologie, RS: MHeNs - R2 - Mental Health, MUMC+: MA Med Staf Spec Psychiatrie (9), Adult Psychiatry, ANS - Compulsivity, Impulsivity & Attention, General Paediatrics, ARD - Amsterdam Reproduction and Development, Radiology and Nuclear Medicine, APH - Personalized Medicine, ANS - Brain Imaging, ANS - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Mental Health, University of Zurich, Clinical Cognitive Neuropsychiatry Research Program (CCNP), Clinical Neuropsychology, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Child and Adolescent Psychiatry / Psychology, IBBA, and Cognitive Psychology

Subjects
Male, Obsessive-Compulsive Disorder, Bipolar Disorder, Autism Spectrum Disorder, Autism, [SDV]Life Sciences [q-bio], Gene Expression, cytology [Cerebral Cortex], Cohort Studies, Fetal Development, physiology [Gene Expression], 2738 Psychiatry and Mental Health, 0302 clinical medicine, diagnostic imaging [Cerebral Cortex], SCHIZOPHRENIA, BRAIN, Child, Obsessive-compulsive disorder (OCD), Original Investigation, Aged, 80 and over, Cerebral Cortex, 0303 health sciences, pathology [Depressive Disorder, Major], Principal Component Analysis, Adolescent psychiatry, 10058 Department of Child and Adolescent Psychiatry, Middle Aged, diagnostic imaging [Obsessive-Compulsive Disorder], REGIONS, Magnetic Resonance Imaging, 3. Good health, FALSE DISCOVERY RATE, Psychiatry and Mental health, Autism spectrum disorder, Schizophrenia, growth & development [Cerebral Cortex], Child, Preschool, Major depressive disorder, diagnostic imaging [Schizophrenia], Esquizofrènia, Female, Psiquiatria infantil, Psiquiatria de l'adolescència, diagnostic imaging [Autism Spectrum Disorder], Adult, medicine.medical_specialty, Adolescent, Human Development, 610 Medicine & health, diagnostic imaging [Bipolar Disorder], pathology [Autism Spectrum Disorder], diagnostic imaging [Depressive Disorder, Major], 03 medical and health sciences, Young Adult, All institutes and research themes of the Radboud University Medical Center, Neuroimaging, SDG 3 - Good Health and Well-being, CEREBRAL-CORTEX, Child psychiatry, medicine, Attention deficit hyperactivity disorder, Humans, Bipolar disorder, ddc:610, Psychiatry, pathology [Schizophrenia], 030304 developmental biology, Aged, Depressive Disorder, Major, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], business.industry, DENDRITE, Computational Biology, Correction, pathology [Attention Deficit Disorder with Hyperactivity], physiology [Fetal Development], medicine.disease, PATHOLOGY, pathology [Bipolar Disorder], pathology [Obsessive-Compulsive Disorder], 10036 Medical Clinic, Attention Deficit Disorder with Hyperactivity, 10054 Clinic for Psychiatry, Psychotherapy, and Psychosomatics, Case-Control Studies, DENSITY, ORIGINS, HIPPOCAMPUS, diagnostic imaging [Attention Deficit Disorder with Hyperactivity], pathology [Cerebral Cortex], Autisme, business, Neuroscience, 030217 neurology & neurosurgery, physiology [Human Development]
Abstract

[Importance] Large-scale neuroimaging studies have revealed group differences in cortical thickness across many psychiatric disorders. The underlying neurobiology behind these differences is not well understood., [Objective] To determine neurobiologic correlates of group differences in cortical thickness between cases and controls in 6 disorders: attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), bipolar disorder (BD), major depressive disorder (MDD), obsessive-compulsive disorder (OCD), and schizophrenia., [Design, Setting, and Participants] Profiles of group differences in cortical thickness between cases and controls were generated using T1-weighted magnetic resonance images. Similarity between interregional profiles of cell-specific gene expression and those in the group differences in cortical thickness were investigated in each disorder. Next, principal component analysis was used to reveal a shared profile of group difference in thickness across the disorders. Analysis for gene coexpression, clustering, and enrichment for genes associated with these disorders were conducted. Data analysis was conducted between June and December 2019. The analysis included 145 cohorts across 6 psychiatric disorders drawn from the ENIGMA consortium. The numbers of cases and controls in each of the 6 disorders were as follows: ADHD: 1814 and 1602; ASD: 1748 and 1770; BD: 1547 and 3405; MDD: 2658 and 3572; OCD: 2266 and 2007; and schizophrenia: 2688 and 3244., [Main Outcomes and Measures] Interregional profiles of group difference in cortical thickness between cases and controls., [Results] A total of 12 721 cases and 15 600 controls, ranging from ages 2 to 89 years, were included in this study. Interregional profiles of group differences in cortical thickness for each of the 6 psychiatric disorders were associated with profiles of gene expression specific to pyramidal (CA1) cells, astrocytes (except for BD), and microglia (except for OCD); collectively, gene-expression profiles of the 3 cell types explain between 25% and 54% of variance in interregional profiles of group differences in cortical thickness. Principal component analysis revealed a shared profile of difference in cortical thickness across the 6 disorders (48% variance explained); interregional profile of this principal component 1 was associated with that of the pyramidal-cell gene expression (explaining 56% of interregional variation). Coexpression analyses of these genes revealed 2 clusters: (1) a prenatal cluster enriched with genes involved in neurodevelopmental (axon guidance) processes and (2) a postnatal cluster enriched with genes involved in synaptic activity and plasticity-related processes. These clusters were enriched with genes associated with all 6 psychiatric disorders., [Conclusions and Relevance] In this study, shared neurobiologic processes were associated with differences in cortical thickness across multiple psychiatric disorders. These processes implicate a common role of prenatal development and postnatal functioning of the cerebral cortex in these disorders.

Published
2021

39. Investigation of endophenotype potential of decreased fractional anisotropy in pediatric bipolar disorder patients and unrelated offspring of bipolar disorder patients

Author

Camkurt, Mehmet A., primary, Melicher, Tomas, additional, Mwangi, Benson, additional, Wu, Mon-Ju, additional, Cao, Bo, additional, Zeni, Cristian P., additional, Tannous, Jonika, additional, Zunta-Soares, Giovana, additional, Hasan, Khader, additional, Sanches, Marsal, additional, and Soares, Jair C., additional

Published
2021
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41. ENIGMA‐Sleep: Challenges, opportunities, and the road map

Author

Tahmasian, Masoud, primary, Aleman, André, additional, Andreassen, Ole A., additional, Arab, Zahra, additional, Baillet, Marion, additional, Benedetti, Francesco, additional, Bresser, Tom, additional, Bright, Joanna, additional, Chee, Michael W.L., additional, Chylinski, Daphne, additional, Cheng, Wei, additional, Deantoni, Michele, additional, Dresler, Martin, additional, Eickhoff, Simon B., additional, Eickhoff, Claudia R., additional, Elvsåshagen, Torbjørn, additional, Feng, Jianfeng, additional, Foster‐Dingley, Jessica C., additional, Ganjgahi, Habib, additional, Grabe, Hans J., additional, Groenewold, Nynke A., additional, Ho, Tiffany C., additional, Bong Hong, Seung, additional, Houenou, Josselin, additional, Irungu, Benson, additional, Jahanshad, Neda, additional, Khazaie, Habibolah, additional, Kim, Hosung, additional, Koshmanova, Ekaterina, additional, Kocevska, Desi, additional, Kochunov, Peter, additional, Lakbila‐Kamal, Oti, additional, Leerssen, Jeanne, additional, Li, Meng, additional, Luik, Annemarie I., additional, Muto, Vincenzo, additional, Narbutas, Justinas, additional, Nilsonne, Gustav, additional, O’Callaghan, Victoria S., additional, Olsen, Alexander, additional, Osorio, Ricardo S., additional, Poletti, Sara, additional, Poudel, Govinda, additional, Reesen, Joyce E., additional, Reneman, Liesbeth, additional, Reyt, Mathilde, additional, Riemann, Dieter, additional, Rosenzweig, Ivana, additional, Rostampour, Masoumeh, additional, Saberi, Amin, additional, Schiel, Julian, additional, Schmidt, Christina, additional, Schrantee, Anouk, additional, Sciberras, Emma, additional, Silk, Tim J., additional, Sim, Kang, additional, Smevik, Hanne, additional, Soares, Jair C., additional, Spiegelhalder, Kai, additional, Stein, Dan J., additional, Talwar, Puneet, additional, Tamm, Sandra, additional, Teresi, Giana l., additional, Valk, Sofie L., additional, Someren, Eus, additional, Vandewalle, Gilles, additional, Van Egroo, Maxime, additional, Völzke, Henry, additional, Walter, Martin, additional, Wassing, Rick, additional, Weber, Frederik D., additional, Weihs, Antoine, additional, Westlye, Lars Tjelta, additional, Wright, Margaret J., additional, Wu, Mon‐Ju, additional, Zak, Nathalia, additional, and Zarei, Mojtaba, additional

Published
2021
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42. Investigation of endophenotype potential of decreased fractional anisotropy in pediatric bipolar disorder patients and unrelated offspring of bipolar disorder patients

Author

Camkurt, Mehmet A., Melicher, Tomas, Mwangi, Benson, Wu, Mon-Ju, Cao, Bo, Zeni, Cristian P., Tannous, Jonika, Zunta-Soares, Giovana, Hasan, Khader, Sanches, Marsal, and Soares, Jair C.

Abstract

AbstractBackgroundBipolar disorder (BD) is a severe psychiatric disorder associated with structural and functional brain abnormalities, some of which have been found in unaffected relatives as well. In this study, we examined the potential role of decreased fractional anisotropy (FA) as a BD endophenotype, in adolescents at high risk for BD.MethodsWe included 15 offspring of patients with BD, 16 pediatric BD patients, and 16 matched controls. Diffusion weighted scans were obtained on a 3T scanner using an echo-planar sequence. Scans were segmented using FreeSurfer.ResultsOur results showed significantly decreased FA in six brain areas of offspring group; left superior temporal gyrus (LSTG; P< .0001), left transverse temporal gyrus (LTTG; P= .002), left banks of the superior temporal sulcus (LBSTS; P= .002), left anterior cingulum (LAC; P= .003), right temporal pole (RTP; P= .004) and left frontal pole (LFP; P= .017). On analysis, LSTG, LAC, and RTP demonstrated a potential to be an endophenotype when comparing all three groups. FA values in three regions, LBSTS, LTTG, and LFP were increased only in controls.ConclusionOur findings point at decreased FA as a possible endophenotype for BD, as they were found in children of patients with BD. Most of these areas were previously found to have morphological and functional changes in adult and pediatric BD, and are thought to play important roles in affected domains of functioning. Prospective follow up studies should be performed to detect reliability of decreased FA as an endophenotype and effects of treatment on FA.

Published
2022
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43. methods in : The experience of the generalized anxiety disorder working group

Author

Zugman, André, Harrewijn, Anita, Cardinale, Elise M., Zwiebel, Hannah, Freitag, Gabrielle F., Werwath, Katy E., Bas-Hoogendam, Janna M., Groenewold, Nynke A., Aghajani, Moji, Hilbert, Kevin, Cardoner, N. (Narcís), Porta-Casteràs, Daniel, Gosnell, Savannah, Salas, Ramiro, Blair, Karina S., Blair, James R., Hammoud, Mira Z., Milad, Mohammed, Burkhouse, Katie, Phan, K. Luan, Schroeder, Heidi K., Strawn, Jeffrey R., Beesdo-Baum, Katja, Thomopoulos, Sophia I., Grabe, Hans J., Van der Auwera, Sandra, Wittfeld, Katharina, Nielsen, Jared A., Buckner, Randy, Smoller, Jordan W., Mwangi, Benson, Soares, Jair C., Wu, Mon-Ju, Zunta-Soares, Giovana B., Jackowski, Andrea P., Pan, Pedro M., Salum, Giovanni A., Assaf, Michal, Diefenbach, Gretchen J., Brambilla, Paolo, Maggioni, Eleonora, Hofmann, David, Straube, Thomas, Andreescu, Carmen, Berta, Rachel, Tamburo, Erica, Price, Rebecca, Manfro, Gisele G., Critchley, Hugo D., Makovac, Elena, Mancini, Matteo, Meeten, Frances, Ottaviani, Cristina, Agosta, Federica, Canu, Elisa, Cividini, Camilla, Filippi, Massimo, Kostić, Milutin, Munjiza, Ana, Filippi, Courtney A., Leibenluft, Ellen, Alberton, Bianca A. V., Balderston, Nicholas L., Ernst, Monique, Grillon, Christian, Mujica-Parodi, Lilianne R., van Nieuwenhuizen, Helena, Fonzo, Gregory A., Paulus, Martin P., Stein, Murray B., Gur, Raquel E., Gur, Ruben C., Kaczkurkin, Antonia N., Larsen, Bart, Satterthwaite, Theodore D., Harper, Jennifer, Myers, Michael, Perino, Michael T., Yu, Qiongru, Sylvester, Chad M., Veltman, Dick J., Lueken, Ulrike, Van der Wee, Nic J. A., Stein, Dan J., Jahanshad, Neda, Thompson, Paul M., Pine, Daniel S., Winkler, Anderson M., and Universitat Autònoma de Barcelona

Subjects
Generalized anxiety disorder, Meta-analyses, Data sharing, Neuroimaging, Mega-analyses
Abstract

The ENIGMA group on Generalized Anxiety Disorder (ENIGMA-Anxiety/GAD) is part of a broader effort to investigate anxiety disorders using imaging and genetic data across multiple sites worldwide. The group is actively conducting a mega-analysis of a large number of brain structural scans. In this process, the group was confronted with many methodological challenges related to study planning and implementation, between-country transfer of subject-level data, quality control of a considerable amount of imaging data, and choices related to statistical methods and efficient use of resources. This report summarizes the background information and rationale for the various methodological decisions, as well as the approach taken to implement them. The goal is to document the approach and help guide other research groups working with large brain imaging data sets as they develop their own analytic pipelines for mega-analyses. This report summarizes the background information and rationale for the various methodological decisions made by the ENIGMA-GAD group. The aim of this work is to help guide other research groups working with large brain imaging data sets

Published
2020

44. Intelligence, educational attainment, and brain structure in those at familial high‐risk for schizophrenia or bipolar disorder

Author

Zwarte, Sonja M. C., primary, Brouwer, Rachel M., additional, Agartz, Ingrid, additional, Alda, Martin, additional, Alonso‐Lana, Silvia, additional, Bearden, Carrie E., additional, Bertolino, Alessandro, additional, Bonvino, Aurora, additional, Bramon, Elvira, additional, Buimer, Elizabeth E. L., additional, Cahn, Wiepke, additional, Canales‐Rodríguez, Erick J., additional, Cannon, Dara M., additional, Cannon, Tyrone D., additional, Caseras, Xavier, additional, Castro‐Fornieles, Josefina, additional, Chen, Qiang, additional, Chung, Yoonho, additional, De la Serna, Elena, additional, Mar Bonnin, Caterina, additional, Demro, Caroline, additional, Di Giorgio, Annabella, additional, Doucet, Gaelle E., additional, Eker, Mehmet Cagdas, additional, Erk, Susanne, additional, Fatjó‐Vilas, Mar, additional, Fears, Scott C., additional, Foley, Sonya F., additional, Frangou, Sophia, additional, Fullerton, Janice M., additional, Glahn, David C., additional, Goghari, Vina M., additional, Goikolea, Jose M., additional, Goldman, Aaron L., additional, Gonul, Ali Saffet, additional, Gruber, Oliver, additional, Hajek, Tomas, additional, Hawkins, Emma L., additional, Heinz, Andreas, additional, Hidiroglu Ongun, Ceren, additional, Hillegers, Manon H. J., additional, Houenou, Josselin, additional, Hulshoff Pol, Hilleke E., additional, Hultman, Christina M., additional, Ingvar, Martin, additional, Johansson, Viktoria, additional, Jönsson, Erik G., additional, Kane, Fergus, additional, Kempton, Matthew J., additional, Koenis, Marinka M. G., additional, Kopecek, Miloslav, additional, Krämer, Bernd, additional, Lawrie, Stephen M., additional, Lenroot, Rhoshel K., additional, Marcelis, Machteld, additional, Mattay, Venkata S., additional, McDonald, Colm, additional, Meyer‐Lindenberg, Andreas, additional, Michielse, Stijn, additional, Mitchell, Philip B., additional, Moreno, Dolores, additional, Murray, Robin M., additional, Mwangi, Benson, additional, Nabulsi, Leila, additional, Newport, Jason, additional, Olman, Cheryl A., additional, Os, Jim, additional, Overs, Bronwyn J., additional, Ozerdem, Aysegul, additional, Pergola, Giulio, additional, Picchioni, Marco M., additional, Piguet, Camille, additional, Pomarol‐Clotet, Edith, additional, Radua, Joaquim, additional, Ramsay, Ian S., additional, Richter, Anja, additional, Roberts, Gloria, additional, Salvador, Raymond, additional, Saricicek Aydogan, Aybala, additional, Sarró, Salvador, additional, Schofield, Peter R., additional, Simsek, Esma M., additional, Simsek, Fatma, additional, Soares, Jair C., additional, Sponheim, Scott R., additional, Sugranyes, Gisela, additional, Toulopoulou, Timothea, additional, Tronchin, Giulia, additional, Vieta, Eduard, additional, Walter, Henrik, additional, Weinberger, Daniel R., additional, Whalley, Heather C., additional, Wu, Mon‐Ju, additional, Yalin, Nefize, additional, Andreassen, Ole A., additional, Ching, Christopher R. K., additional, Thomopoulos, Sophia I., additional, Erp, Theo G. M., additional, Jahanshad, Neda, additional, Thompson, Paul M., additional, Kahn, René S., additional, and Haren, Neeltje E. M., additional

Published
2020
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45. Mega‐analysis methods in ENIGMA : The experience of the generalized anxiety disorder working group

Author

Zugman, André, primary, Harrewijn, Anita, additional, Cardinale, Elise M., additional, Zwiebel, Hannah, additional, Freitag, Gabrielle F., additional, Werwath, Katy E., additional, Bas‐Hoogendam, Janna M., additional, Groenewold, Nynke A., additional, Aghajani, Moji, additional, Hilbert, Kevin, additional, Cardoner, Narcis, additional, Porta‐Casteràs, Daniel, additional, Gosnell, Savannah, additional, Salas, Ramiro, additional, Blair, Karina S., additional, Blair, James R., additional, Hammoud, Mira Z., additional, Milad, Mohammed, additional, Burkhouse, Katie, additional, Phan, K. Luan, additional, Schroeder, Heidi K., additional, Strawn, Jeffrey R., additional, Beesdo‐Baum, Katja, additional, Thomopoulos, Sophia I., additional, Grabe, Hans J., additional, Van der Auwera, Sandra, additional, Wittfeld, Katharina, additional, Nielsen, Jared A., additional, Buckner, Randy, additional, Smoller, Jordan W., additional, Mwangi, Benson, additional, Soares, Jair C., additional, Wu, Mon‐Ju, additional, Zunta‐Soares, Giovana B., additional, Jackowski, Andrea P., additional, Pan, Pedro M., additional, Salum, Giovanni A., additional, Assaf, Michal, additional, Diefenbach, Gretchen J., additional, Brambilla, Paolo, additional, Maggioni, Eleonora, additional, Hofmann, David, additional, Straube, Thomas, additional, Andreescu, Carmen, additional, Berta, Rachel, additional, Tamburo, Erica, additional, Price, Rebecca, additional, Manfro, Gisele G., additional, Critchley, Hugo D., additional, Makovac, Elena, additional, Mancini, Matteo, additional, Meeten, Frances, additional, Ottaviani, Cristina, additional, Agosta, Federica, additional, Canu, Elisa, additional, Cividini, Camilla, additional, Filippi, Massimo, additional, Kostić, Milutin, additional, Munjiza, Ana, additional, Filippi, Courtney A., additional, Leibenluft, Ellen, additional, Alberton, Bianca A. V., additional, Balderston, Nicholas L., additional, Ernst, Monique, additional, Grillon, Christian, additional, Mujica‐Parodi, Lilianne R., additional, Nieuwenhuizen, Helena, additional, Fonzo, Gregory A., additional, Paulus, Martin P., additional, Stein, Murray B., additional, Gur, Raquel E., additional, Gur, Ruben C., additional, Kaczkurkin, Antonia N., additional, Larsen, Bart, additional, Satterthwaite, Theodore D., additional, Harper, Jennifer, additional, Myers, Michael, additional, Perino, Michael T., additional, Yu, Qiongru, additional, Sylvester, Chad M., additional, Veltman, Dick J., additional, Lueken, Ulrike, additional, Van der Wee, Nic J. A., additional, Stein, Dan J., additional, Jahanshad, Neda, additional, Thompson, Paul M., additional, Pine, Daniel S., additional, and Winkler, Anderson M., additional

Published
2020
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46. Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group

Author

Han, Laura K. M., primary, Dinga, Richard, additional, Hahn, Tim, additional, Ching, Christopher R. K., additional, Eyler, Lisa T., additional, Aftanas, Lyubomir, additional, Aghajani, Moji, additional, Aleman, André, additional, Baune, Bernhard T., additional, Berger, Klaus, additional, Brak, Ivan, additional, Filho, Geraldo Busatto, additional, Carballedo, Angela, additional, Connolly, Colm G., additional, Couvy-Duchesne, Baptiste, additional, Cullen, Kathryn R., additional, Dannlowski, Udo, additional, Davey, Christopher G., additional, Dima, Danai, additional, Duran, Fabio L. S., additional, Enneking, Verena, additional, Filimonova, Elena, additional, Frenzel, Stefan, additional, Frodl, Thomas, additional, Fu, Cynthia H. Y., additional, Godlewska, Beata R., additional, Gotlib, Ian H., additional, Grabe, Hans J., additional, Groenewold, Nynke A., additional, Grotegerd, Dominik, additional, Gruber, Oliver, additional, Hall, Geoffrey B., additional, Harrison, Ben J., additional, Hatton, Sean N., additional, Hermesdorf, Marco, additional, Hickie, Ian B., additional, Ho, Tiffany C., additional, Hosten, Norbert, additional, Jansen, Andreas, additional, Kähler, Claas, additional, Kircher, Tilo, additional, Klimes-Dougan, Bonnie, additional, Krämer, Bernd, additional, Krug, Axel, additional, Lagopoulos, Jim, additional, Leenings, Ramona, additional, MacMaster, Frank P., additional, MacQueen, Glenda, additional, McIntosh, Andrew, additional, McLellan, Quinn, additional, McMahon, Katie L., additional, Medland, Sarah E., additional, Mueller, Bryon A., additional, Mwangi, Benson, additional, Osipov, Evgeny, additional, Portella, Maria J., additional, Pozzi, Elena, additional, Reneman, Liesbeth, additional, Repple, Jonathan, additional, Rosa, Pedro G. P., additional, Sacchet, Matthew D., additional, Sämann, Philipp G., additional, Schnell, Knut, additional, Schrantee, Anouk, additional, Simulionyte, Egle, additional, Soares, Jair C., additional, Sommer, Jens, additional, Stein, Dan J., additional, Steinsträter, Olaf, additional, Strike, Lachlan T., additional, Thomopoulos, Sophia I., additional, van Tol, Marie-José, additional, Veer, Ilya M., additional, Vermeiren, Robert R. J. M., additional, Walter, Henrik, additional, van der Wee, Nic J. A., additional, van der Werff, Steven J. A., additional, Whalley, Heather, additional, Winter, Nils R., additional, Wittfeld, Katharina, additional, Wright, Margaret J., additional, Wu, Mon-Ju, additional, Völzke, Henry, additional, Yang, Tony T., additional, Zannias, Vasileios, additional, de Zubicaray, Greig I., additional, Zunta-Soares, Giovana B., additional, Abé, Christoph, additional, Alda, Martin, additional, Andreassen, Ole A., additional, Bøen, Erlend, additional, Bonnin, Caterina M., additional, Canales-Rodriguez, Erick J., additional, Cannon, Dara, additional, Caseras, Xavier, additional, Chaim-Avancini, Tiffany M., additional, Elvsåshagen, Torbjørn, additional, Favre, Pauline, additional, Foley, Sonya F., additional, Fullerton, Janice M., additional, Goikolea, Jose M., additional, Haarman, Bartholomeus C. M., additional, Hajek, Tomas, additional, Henry, Chantal, additional, Houenou, Josselin, additional, Howells, Fleur M., additional, Ingvar, Martin, additional, Kuplicki, Rayus, additional, Lafer, Beny, additional, Landén, Mikael, additional, Machado-Vieira, Rodrigo, additional, Malt, Ulrik F., additional, McDonald, Colm, additional, Mitchell, Philip B., additional, Nabulsi, Leila, additional, Otaduy, Maria Concepcion Garcia, additional, Overs, Bronwyn J., additional, Polosan, Mircea, additional, Pomarol-Clotet, Edith, additional, Radua, Joaquim, additional, Rive, Maria M., additional, Roberts, Gloria, additional, Ruhe, Henricus G., additional, Salvador, Raymond, additional, Sarró, Salvador, additional, Satterthwaite, Theodore D., additional, Savitz, Jonathan, additional, Schene, Aart H., additional, Schofield, Peter R., additional, Serpa, Mauricio H., additional, Sim, Kang, additional, Soeiro-de-Souza, Marcio Gerhardt, additional, Sutherland, Ashley N., additional, Temmingh, Henk S., additional, Timmons, Garrett M., additional, Uhlmann, Anne, additional, Vieta, Eduard, additional, Wolf, Daniel H., additional, Zanetti, Marcus V., additional, Jahanshad, Neda, additional, Thompson, Paul M., additional, Veltman, Dick J., additional, Penninx, Brenda W. J. H., additional, Marquand, Andre F., additional, Cole, James H., additional, and Schmaal, Lianne, additional

Published
2020
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48. Brain Aging in Major Depressive Disorder: Results from the ENIGMA Major Depressive Disorder working group

Author

Han, Laura K M, primary, Dinga, Richard, additional, Hahn, Tim, additional, Ching, Christopher R K, additional, Eyler, Lisa T, additional, Aftanas, Lyubomir, additional, Aghajani, Moji, additional, Aleman, André, additional, Baune, Bernhard T, additional, Berger, Klaus, additional, Brak, Ivan, additional, Filho, Geraldo Busatto, additional, Carballedo, Angela, additional, Connolly, Colm G, additional, Couvy-Duchesne, Baptiste, additional, Cullen, Kathryn, additional, Dannlowski, Udo, additional, Davey, Christopher G, additional, Dima, Danai, additional, Duran, Fabio L S, additional, Enneking, Verena, additional, Filimonova, Elena, additional, Frenzel, Stefan, additional, Frodl, Thomas, additional, Fu, Cynthia H Y, additional, Godlewska, Beata R, additional, Gotlib, Ian H, additional, Grabe, Hans J, additional, Groenewold, Nynke A, additional, Grotegerd, Dominik, additional, Gruber, Oliver, additional, Hall, Geoffrey B, additional, Harrison, Ben J, additional, Hatton, Sean N, additional, Hermesdorf, Marco, additional, Hickie, Ian B, additional, Ho, Tiffany C, additional, Hosten, Norbert, additional, Jansen, Andreas, additional, Kähler, Claas, additional, Kircher, Tilo, additional, Klimes-Dougan, Bonnie, additional, Krämer, Bernd, additional, Krug, Axel, additional, Lagopoulos, Jim, additional, Leenings, Ramona, additional, MacMaster, Frank P, additional, MacQueen, Glenda, additional, McIntosh, Andrew, additional, McLellan, Quinn, additional, McMahon, Katie L, additional, Medland, Sarah E, additional, Mueller, Bryon A, additional, Mwangi, Benson, additional, Osipov, Evgeny, additional, Portella, Maria J, additional, Pozzi, Elena, additional, Reneman, Liesbeth, additional, Repple, Jonathan, additional, Rosa, Pedro G P, additional, Sacchet, Matthew D, additional, Sämann, Philipp G, additional, Schnell, Knut, additional, Schrantee, Anouk, additional, Simulionyte, Egle, additional, Soares, Jair C, additional, Sommer, Jens, additional, Stein, Dan J, additional, Steinsträter, Olaf, additional, Strike, Lachlan T, additional, Thomopoulos, Sophia I, additional, van Tol, Marie-José, additional, Veer, Ilya M, additional, Vermeiren, Robert R J M, additional, Walter, Henrik, additional, van der Wee, Nic J A, additional, van der Werff, Steven J A, additional, Whalley, Heather, additional, Winter, Nils R, additional, Wittfeld, Katharina, additional, Wright, Margaret J, additional, Wu, Mon-Ju, additional, Völzke, Henry, additional, Yang, Tony T, additional, Zannias, Vasileios, additional, Zubicaray, Greig I de, additional, Zunta-Soares, Giovana B, additional, Abé, Christoph, additional, Alda, Martin, additional, Andreassen, Ole A, additional, Bøen, Erlend, additional, Bonnin, Caterina M, additional, Canales-Rodriguez, Erick J, additional, Cannon, Dara, additional, Caseras, Xavier, additional, Chaim-Avancini, Tiffany M, additional, Elvsåshagen, Torbjørn, additional, Favre, Pauline, additional, Foley, Sonya F, additional, Fullerton, Janice M, additional, Goikolea, Jose M, additional, Haarman, Bartholomeus C M, additional, Hajek, Tomas, additional, Henry, Chantal, additional, Houenou, Josselin, additional, Howells, Fleur M, additional, Ingvar, Martin, additional, Kuplicki, Rayus, additional, Lafer, Beny, additional, Landén, Mikael, additional, Machado-Vieira, Rodrigo, additional, Malt, Ulrik F, additional, McDonald, Colm, additional, Mitchell, Philip B, additional, Nabulsi, Leila, additional, Otaduy, Maria Concepcion Garcia, additional, Overs, Bronwyn J, additional, Polosan, Mircea, additional, Pomarol-Clotet, Edith, additional, Radua, Joaquim, additional, Rive, Maria M, additional, Roberts, Gloria, additional, Ruhe, Henricus G, additional, Salvador, Raymond, additional, Sarró, Salvador, additional, Satterthwaite, Theodore D, additional, Savitz, Jonathan, additional, Schene, Aart H, additional, Schofield, Peter R, additional, Serpa, Mauricio H, additional, Sim, Kang, additional, Soeiro-de-Souza, Marcio Gerhardt, additional, Sutherland, Ashley N, additional, Temmingh, Henk S, additional, Timmons, Garrett M, additional, Uhlmann, Anne, additional, Vieta, Eduard, additional, Wolf, Daniel H, additional, Zanetti, Marcus V, additional, Jahanshad, Neda, additional, Thompson, Paul M, additional, Veltman, Dick J, additional, Penninx, Brenda W J H, additional, Marquand, Andre F, additional, Cole, James H, additional, and Schmaal, Lianne, additional

Published
2019
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