Browsing by Author "Thomopoulos, Sophia I"

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    ItemOpen Access
    ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries.
    (Translational psychiatry, 2020-03) Thompson, Paul M; Jahanshad, Neda; Ching, Christopher RK; Salminen, Lauren E; Thomopoulos, Sophia I; Bright, Joanna; Baune, Bernhard T; Bertolín, Sara; Bralten, Janita; Bruin, Willem B; Bülow, Robin; Chen, Jian; Chye, Yann; Dannlowski, Udo; de Kovel, Carolien GF; Donohoe, Gary; Eyler, Lisa T; Faraone, Stephen V; Favre, Pauline; Filippi, Courtney A; Frodl, Thomas; Garijo, Daniel; Gil, Yolanda; Grabe, Hans J; Grasby, Katrina L; Hajek, Tomas; Han, Laura KM; Hatton, Sean N; Hilbert, Kevin; Ho, Tiffany C; Holleran, Laurena; Homuth, Georg; Hosten, Norbert; Houenou, Josselin; Ivanov, Iliyan; Jia, Tianye; Kelly, Sinead; Klein, Marieke; Kwon, Jun Soo; Laansma, Max A; Leerssen, Jeanne; Lueken, Ulrike; Nunes, Abraham; Neill, Joseph O'; Opel, Nils; Piras, Fabrizio; Piras, Federica; Postema, Merel C; Pozzi, Elena; Shatokhina, Natalia; Soriano-Mas, Carles; Spalletta, Gianfranco; Sun, Daqiang; Teumer, Alexander; Tilot, Amanda K; Tozzi, Leonardo; van der Merwe, Celia; Van Someren, Eus JW; van Wingen, Guido A; Völzke, Henry; Walton, Esther; Wang, Lei; Winkler, Anderson M; Wittfeld, Katharina; Wright, Margaret J; Yun, Je-Yeon; Zhang, Guohao; Zhang-James, Yanli; Adhikari, Bhim M; Agartz, Ingrid; Aghajani, Moji; Aleman, André; Althoff, Robert R; Altmann, Andre; Andreassen, Ole A; Baron, David A; Bartnik-Olson, Brenda L; Marie Bas-Hoogendam, Janna; Baskin-Sommers, Arielle R; Bearden, Carrie E; Berner, Laura A; Boedhoe, Premika SW; Brouwer, Rachel M; Buitelaar, Jan K; Caeyenberghs, Karen; Cecil, Charlotte AM; Cohen, Ronald A; Cole, James H; Conrod, Patricia J; De Brito, Stephane A; de Zwarte, Sonja MC; Dennis, Emily L; Desrivieres, Sylvane; Dima, Danai; Ehrlich, Stefan; Esopenko, Carrie; Fairchild, Graeme; Fisher, Simon E; Fouche, Jean-Paul; Francks, Clyde; Frangou, Sophia; Franke, Barbara; Garavan, Hugh P; Glahn, David C; Groenewold, Nynke A; Gurholt, Tiril P; Gutman, Boris A; Hahn, Tim; Harding, Ian H; Hernaus, Dennis; Hibar, Derrek P; Hillary, Frank G; Hoogman, Martine; Hulshoff Pol, Hilleke E; Jalbrzikowski, Maria; Karkashadze, George A; Klapwijk, Eduard T; Knickmeyer, Rebecca C; Kochunov, Peter; Koerte, Inga K; Kong, Xiang-Zhen; Liew, Sook-Lei; Lin, Alexander P; Logue, Mark W; Luders, Eileen; Macciardi, Fabio; Mackey, Scott; Mayer, Andrew R; McDonald, Carrie R; McMahon, Agnes B; Medland, Sarah E; Modinos, Gemma; Morey, Rajendra A; Mueller, Sven C; Mukherjee, Pratik; Namazova-Baranova, Leyla; Nir, Talia M; Olsen, Alexander; Paschou, Peristera; Pine, Daniel S; Pizzagalli, Fabrizio; Rentería, Miguel E; Rohrer, Jonathan D; Sämann, Philipp G; Schmaal, Lianne; Schumann, Gunter; Shiroishi, Mark S; Sisodiya, Sanjay M; Smit, Dirk JA; Sønderby, Ida E; Stein, Dan J; Stein, Jason L; Tahmasian, Masoud; Tate, David F; Turner, Jessica A; van den Heuvel, Odile A; van der Wee, Nic JA; van der Werf, Ysbrand D; van Erp, Theo GM; van Haren, Neeltje EM; van Rooij, Daan; van Velzen, Laura S; Veer, Ilya M; Veltman, Dick J; Villalon-Reina, Julio E; Walter, Henrik; Whelan, Christopher D; Wilde, Elisabeth A; Zarei, Mojtaba; Zelman, Vladimir; ENIGMA Consortium
    This review summarizes the last decade of work by the ENIGMA (Enhancing NeuroImaging Genetics through Meta Analysis) Consortium, a global alliance of over 1400 scientists across 43 countries, studying the human brain in health and disease. Building on large-scale genetic studies that discovered the first robustly replicated genetic loci associated with brain metrics, ENIGMA has diversified into over 50 working groups (WGs), pooling worldwide data and expertise to answer fundamental questions in neuroscience, psychiatry, neurology, and genetics. Most ENIGMA WGs focus on specific psychiatric and neurological conditions, other WGs study normal variation due to sex and gender differences, or development and aging; still other WGs develop methodological pipelines and tools to facilitate harmonized analyses of "big data" (i.e., genetic and epigenetic data, multimodal MRI, and electroencephalography data). These international efforts have yielded the largest neuroimaging studies to date in schizophrenia, bipolar disorder, major depressive disorder, post-traumatic stress disorder, substance use disorders, obsessive-compulsive disorder, attention-deficit/hyperactivity disorder, autism spectrum disorders, epilepsy, and 22q11.2 deletion syndrome. More recent ENIGMA WGs have formed to study anxiety disorders, suicidal thoughts and behavior, sleep and insomnia, eating disorders, irritability, brain injury, antisocial personality and conduct disorder, and dissociative identity disorder. Here, we summarize the first decade of ENIGMA's activities and ongoing projects, and describe the successes and challenges encountered along the way. We highlight the advantages of collaborative large-scale coordinated data analyses for testing reproducibility and robustness of findings, offering the opportunity to identify brain systems involved in clinical syndromes across diverse samples and associated genetic, environmental, demographic, cognitive, and psychosocial factors.
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    ItemOpen Access
    Neuroimaging-based classification of PTSD using data-driven computational approaches: A multisite big data study from the ENIGMA-PGC PTSD consortium.
    (NeuroImage, 2023-12) Zhu, Xi; Kim, Yoojean; Ravid, Orren; He, Xiaofu; Suarez-Jimenez, Benjamin; Zilcha-Mano, Sigal; Lazarov, Amit; Lee, Seonjoo; Abdallah, Chadi G; Angstadt, Michael; Averill, Christopher L; Baird, C Lexi; Baugh, Lee A; Blackford, Jennifer U; Bomyea, Jessica; Bruce, Steven E; Bryant, Richard A; Cao, Zhihong; Choi, Kyle; Cisler, Josh; Cotton, Andrew S; Daniels, Judith K; Davenport, Nicholas D; Davidson, Richard J; DeBellis, Michael D; Dennis, Emily L; Densmore, Maria; deRoon-Cassini, Terri; Disner, Seth G; Hage, Wissam El; Etkin, Amit; Fani, Negar; Fercho, Kelene A; Fitzgerald, Jacklynn; Forster, Gina L; Frijling, Jessie L; Geuze, Elbert; Gonenc, Atilla; Gordon, Evan M; Gruber, Staci; Grupe, Daniel W; Guenette, Jeffrey P; Haswell, Courtney C; Herringa, Ryan J; Herzog, Julia; Hofmann, David Bernd; Hosseini, Bobak; Hudson, Anna R; Huggins, Ashley A; Ipser, Jonathan C; Jahanshad, Neda; Jia-Richards, Meilin; Jovanovic, Tanja; Kaufman, Milissa L; Kennis, Mitzy; King, Anthony; Kinzel, Philipp; Koch, Saskia BJ; Koerte, Inga K; Koopowitz, Sheri M; Korgaonkar, Mayuresh S; Krystal, John H; Lanius, Ruth; Larson, Christine L; Lebois, Lauren AM; Li, Gen; Liberzon, Israel; Lu, Guang Ming; Luo, Yifeng; Magnotta, Vincent A; Manthey, Antje; Maron-Katz, Adi; May, Geoffery; McLaughlin, Katie; Mueller, Sven C; Nawijn, Laura; Nelson, Steven M; Neufeld, Richard WJ; Nitschke, Jack B; O'Leary, Erin M; Olatunji, Bunmi O; Olff, Miranda; Peverill, Matthew; Phan, K Luan; Qi, Rongfeng; Quidé, Yann; Rektor, Ivan; Ressler, Kerry; Riha, Pavel; Ross, Marisa; Rosso, Isabelle M; Salminen, Lauren E; Sambrook, Kelly; Schmahl, Christian; Shenton, Martha E; Sheridan, Margaret; Shih, Chiahao; Sicorello, Maurizio; Sierk, Anika; Simmons, Alan N; Simons, Raluca M; Simons, Jeffrey S; Sponheim, Scott R; Stein, Murray B; Stein, Dan J; Stevens, Jennifer S; Straube, Thomas; Sun, Delin; Théberge, Jean; Thompson, Paul M; Thomopoulos, Sophia I; van der Wee, Nic JA; van der Werff, Steven JA; van Erp, Theo GM; van Rooij, Sanne JH; van Zuiden, Mirjam; Varkevisser, Tim; Veltman, Dick J; Vermeiren, Robert RJM; Walter, Henrik; Wang, Li; Wang, Xin; Weis, Carissa; Winternitz, Sherry; Xie, Hong; Zhu, Ye; Wall, Melanie; Neria, Yuval; Morey, Rajendra A

    Background

    Recent advances in data-driven computational approaches have been helpful in devising tools to objectively diagnose psychiatric disorders. However, current machine learning studies limited to small homogeneous samples, different methodologies, and different imaging collection protocols, limit the ability to directly compare and generalize their results. Here we aimed to classify individuals with PTSD versus controls and assess the generalizability using a large heterogeneous brain datasets from the ENIGMA-PGC PTSD Working group.

    Methods

    We analyzed brain MRI data from 3,477 structural-MRI; 2,495 resting state-fMRI; and 1,952 diffusion-MRI. First, we identified the brain features that best distinguish individuals with PTSD from controls using traditional machine learning methods. Second, we assessed the utility of the denoising variational autoencoder (DVAE) and evaluated its classification performance. Third, we assessed the generalizability and reproducibility of both models using leave-one-site-out cross-validation procedure for each modality.

    Results

    We found lower performance in classifying PTSD vs. controls with data from over 20 sites (60 % test AUC for s-MRI, 59 % for rs-fMRI and 56 % for d-MRI), as compared to other studies run on single-site data. The performance increased when classifying PTSD from HC without trauma history in each modality (75 % AUC). The classification performance remained intact when applying the DVAE framework, which reduced the number of features. Finally, we found that the DVAE framework achieved better generalization to unseen datasets compared with the traditional machine learning frameworks, albeit performance was slightly above chance.

    Conclusion

    These results have the potential to provide a baseline classification performance for PTSD when using large scale neuroimaging datasets. Our findings show that the control group used can heavily affect classification performance. The DVAE framework provided better generalizability for the multi-site data. This may be more significant in clinical practice since the neuroimaging-based diagnostic DVAE classification models are much less site-specific, rendering them more generalizable.
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    ItemOpen Access
    The genetic architecture of the human cerebral cortex.
    (Science (New York, N.Y.), 2020-03) Grasby, Katrina L; Jahanshad, Neda; Painter, Jodie N; Colodro-Conde, Lucía; Bralten, Janita; Hibar, Derrek P; Lind, Penelope A; Pizzagalli, Fabrizio; Ching, Christopher RK; McMahon, Mary Agnes B; Shatokhina, Natalia; Zsembik, Leo CP; Thomopoulos, Sophia I; Zhu, Alyssa H; Strike, Lachlan T; Agartz, Ingrid; Alhusaini, Saud; Almeida, Marcio AA; Alnæs, Dag; Amlien, Inge K; Andersson, Micael; Ard, Tyler; Armstrong, Nicola J; Ashley-Koch, Allison; Atkins, Joshua R; Bernard, Manon; Brouwer, Rachel M; Buimer, Elizabeth EL; Bülow, Robin; Bürger, Christian; Cannon, Dara M; Chakravarty, Mallar; Chen, Qiang; Cheung, Joshua W; Couvy-Duchesne, Baptiste; Dale, Anders M; Dalvie, Shareefa; de Araujo, Tânia K; de Zubicaray, Greig I; de Zwarte, Sonja MC; den Braber, Anouk; Doan, Nhat Trung; Dohm, Katharina; Ehrlich, Stefan; Engelbrecht, Hannah-Ruth; Erk, Susanne; Fan, Chun Chieh; Fedko, Iryna O; Foley, Sonya F; Ford, Judith M; Fukunaga, Masaki; Garrett, Melanie E; Ge, Tian; Giddaluru, Sudheer; Goldman, Aaron L; Green, Melissa J; Groenewold, Nynke A; Grotegerd, Dominik; Gurholt, Tiril P; Gutman, Boris A; Hansell, Narelle K; Harris, Mathew A; Harrison, Marc B; Haswell, Courtney C; Hauser, Michael; Herms, Stefan; Heslenfeld, Dirk J; Ho, New Fei; Hoehn, David; Hoffmann, Per; Holleran, Laurena; Hoogman, Martine; Hottenga, Jouke-Jan; Ikeda, Masashi; Janowitz, Deborah; Jansen, Iris E; Jia, Tianye; Jockwitz, Christiane; Kanai, Ryota; Karama, Sherif; Kasperaviciute, Dalia; Kaufmann, Tobias; Kelly, Sinead; Kikuchi, Masataka; Klein, Marieke; Knapp, Michael; Knodt, Annchen R; Krämer, Bernd; Lam, Max; Lancaster, Thomas M; Lee, Phil H; Lett, Tristram A; Lewis, Lindsay B; Lopes-Cendes, Iscia; Luciano, Michelle; Macciardi, Fabio; Marquand, Andre F; Mathias, Samuel R; Melzer, Tracy R; Milaneschi, Yuri; Mirza-Schreiber, Nazanin; Moreira, Jose CV; Mühleisen, Thomas W; Müller-Myhsok, Bertram; Najt, Pablo; Nakahara, Soichiro; Nho, Kwangsik; Olde Loohuis, Loes M; Orfanos, Dimitri Papadopoulos; Pearson, John F; Pitcher, Toni L; Pütz, Benno; Quidé, Yann; Ragothaman, Anjanibhargavi; Rashid, Faisal M; Reay, William R; Redlich, Ronny; Reinbold, Céline S; Repple, Jonathan; Richard, Geneviève; Riedel, Brandalyn C; Risacher, Shannon L; Rocha, Cristiane S; Mota, Nina Roth; Salminen, Lauren; Saremi, Arvin; Saykin, Andrew J; Schlag, Fenja; Schmaal, Lianne; Schofield, Peter R; Secolin, Rodrigo; Shapland, Chin Yang; Shen, Li; Shin, Jean; Shumskaya, Elena; Sønderby, Ida E; Sprooten, Emma; Tansey, Katherine E; Teumer, Alexander; Thalamuthu, Anbupalam; Tordesillas-Gutiérrez, Diana; Turner, Jessica A; Uhlmann, Anne; Vallerga, Costanza Ludovica; van der Meer, Dennis; van Donkelaar, Marjolein MJ; van Eijk, Liza; van Erp, Theo GM; van Haren, Neeltje EM; van Rooij, Daan; van Tol, Marie-José; Veldink, Jan H; Verhoef, Ellen; Walton, Esther; Wang, Mingyuan; Wang, Yunpeng; Wardlaw, Joanna M; Wen, Wei; Westlye, Lars T; Whelan, Christopher D; Witt, Stephanie H; Wittfeld, Katharina; Wolf, Christiane; Wolfers, Thomas; Wu, Jing Qin; Yasuda, Clarissa L; Zaremba, Dario; Zhang, Zuo; Zwiers, Marcel P; Artiges, Eric; Assareh, Amelia A; Ayesa-Arriola, Rosa; Belger, Aysenil; Brandt, Christine L; Brown, Gregory G; Cichon, Sven; Curran, Joanne E; Davies, Gareth E; Degenhardt, Franziska; Dennis, Michelle F; Dietsche, Bruno; Djurovic, Srdjan; Doherty, Colin P; Espiritu, Ryan; Garijo, Daniel; Gil, Yolanda; Gowland, Penny A; Green, Robert C; Häusler, Alexander N; Heindel, Walter; Ho, Beng-Choon; Hoffmann, Wolfgang U; Holsboer, Florian; Homuth, Georg; Hosten, Norbert; Jack, Clifford R; Jang, MiHyun; Jansen, Andreas; Kimbrel, Nathan A; Kolskår, Knut; Koops, Sanne; Krug, Axel; Lim, Kelvin O; Luykx, Jurjen J; Mathalon, Daniel H; Mather, Karen A; Mattay, Venkata S; Matthews, Sarah; Mayoral Van Son, Jaqueline; McEwen, Sarah C; Melle, Ingrid; Morris, Derek W; Mueller, Bryon A; Nauck, Matthias; Nordvik, Jan E; Nöthen, Markus M; O'Leary, Daniel S; Opel, Nils; Martinot, Marie-Laure Paillère; Pike, G Bruce; Preda, Adrian; Quinlan, Erin B; Rasser, Paul E; Ratnakar, Varun; Reppermund, Simone; Steen, Vidar M; Tooney, Paul A; Torres, Fábio R; Veltman, Dick J; Voyvodic, James T; Whelan, Robert; White, Tonya; Yamamori, Hidenaga; Adams, Hieab HH; Bis, Joshua C; Debette, Stephanie; Decarli, Charles; Fornage, Myriam; Gudnason, Vilmundur; Hofer, Edith; Ikram, M Arfan; Launer, Lenore; Longstreth, WT; Lopez, Oscar L; Mazoyer, Bernard; Mosley, Thomas H; Roshchupkin, Gennady V; Satizabal, Claudia L; Schmidt, Reinhold; Seshadri, Sudha; Yang, Qiong; Alzheimer’s Disease Neuroimaging Initiative; CHARGE Consortium; EPIGEN Consortium; IMAGEN Consortium; SYS Consortium; Parkinson’s Progression Markers Initiative; Alvim, Marina KM; Ames, David; Anderson, Tim J; Andreassen, Ole A; Arias-Vasquez, Alejandro; Bastin, Mark E; Baune, Bernhard T; Beckham, Jean C; Blangero, John; Boomsma, Dorret I; Brodaty, Henry; Brunner, Han G; Buckner, Randy L; Buitelaar, Jan K; Bustillo, Juan R; Cahn, Wiepke; Cairns, Murray J; Calhoun, Vince; Carr, Vaughan J; Caseras, Xavier; Caspers, Svenja; Cavalleri, Gianpiero L; Cendes, Fernando; Corvin, Aiden; Crespo-Facorro, Benedicto; Dalrymple-Alford, John C; Dannlowski, Udo; de Geus, Eco JC; Deary, Ian J; Delanty, Norman; Depondt, Chantal; Desrivières, Sylvane; Donohoe, Gary; Espeseth, Thomas; Fernández, Guillén; Fisher, Simon E; Flor, Herta; Forstner, Andreas J; Francks, Clyde; Franke, Barbara; Glahn, David C; Gollub, Randy L; Grabe, Hans J; Gruber, Oliver; Håberg, Asta K; Hariri, Ahmad R; Hartman, Catharina A; Hashimoto, Ryota; Heinz, Andreas; Henskens, Frans A; Hillegers, Manon HJ; Hoekstra, Pieter J; Holmes, Avram J; Hong, L Elliot; Hopkins, William D; Hulshoff Pol, Hilleke E; Jernigan, Terry L; Jönsson, Erik G; Kahn, René S; Kennedy, Martin A; Kircher, Tilo TJ; Kochunov, Peter; Kwok, John BJ; Le Hellard, Stephanie; Loughland, Carmel M; Martin, Nicholas G; Martinot, Jean-Luc; McDonald, Colm; McMahon, Katie L; Meyer-Lindenberg, Andreas; Michie, Patricia T; Morey, Rajendra A; Mowry, Bryan; Nyberg, Lars; Oosterlaan, Jaap; Ophoff, Roel A; Pantelis, Christos; Paus, Tomas; Pausova, Zdenka; Penninx, Brenda WJH; Polderman, Tinca JC; Posthuma, Danielle; Rietschel, Marcella; Roffman, Joshua L; Rowland, Laura M; Sachdev, Perminder S; Sämann, Philipp G; Schall, Ulrich; Schumann, Gunter; Scott, Rodney J; Sim, Kang; Sisodiya, Sanjay M; Smoller, Jordan W; Sommer, Iris E; St Pourcain, Beate; Stein, Dan J; Toga, Arthur W; Trollor, Julian N; Van der Wee, Nic JA; van 't Ent, Dennis; Völzke, Henry; Walter, Henrik; Weber, Bernd; Weinberger, Daniel R; Wright, Margaret J; Zhou, Juan; Stein, Jason L; Thompson, Paul M; Medland, Sarah E; Enhancing NeuroImaging Genetics through Meta-Analysis Consortium (ENIGMA)—Genetics working group
    The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson's disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder.