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Browsing by Author "Kelly, Sinead"
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Item ENIGMA and the individual: Predicting factors that affect the brain in 35 countries worldwide(Elsevier, 2017-01-15) Thompson, Paul M.; Andreassen, Ole A.; Arias-Vasquez, Alejandro; Bearden, Carrie E.; Boedhoe, Premika S.; Brouwer, Rachel M.; Buckner, Randy L.; Buitelaar, Jan K.; Bulayeva, Kazima B.; Cannon, Dara M.; Cohen, Ronald A.; Conrod, Patricia J.; Dale, Anders M.; Deary, Ian J.; Dennis, Emily L.; de Reus, Marcel A.; Desrivieres, Sylvane; Dima, Danai; Donohoe, Gary; Fisher, Simon E.; Fouche, Jean-Paul; Francks, Clyde; Frangou, Sophia; Franke, Barbara; Ganjgahi, Habib; Garavan, Hugh; Glahn, David C.; Grabe, Hans J.; Guadalupe, Tulio; Gutman, Boris A.; Hashimoto, Ryota; Hibar, Derrek P.; Holland, Dominic; Hoogman, Martine; Pol, Hilleke E. Hulshoff; Hosten, Norbert; Jahanshad, Neda; Kelly, Sinead; Kochunov, Peter; Kremen, William S.; Lee, Phil H.; Mackey, Scott; Martin, Nicholas G.; Mazoyer, Bernard; McDonald, Colm; Medland, Sarah E.; Morey, Rajendra A.; Nichols, Thomas E.; Paus, Tomas; Pausova, Zdenka; Schmaal, Lianne; Schumann, Gunter; Shen, Li; Sisodiya, Sanjay M.; Smit, Dirk J.A.; Smoller, Jordan W.; Stein, Dan J.; Stein, Jason L.; Toro, Roberto; Turner, Jessica A.; Heuvel, Martijn P. van den; Heuvel, Odile L. van den; Erp, Theo G.M. van; Rooij, Daan van; Veltman, Dick J.; Walter, Henrik; Wang, Yalin; Wardlaw, Joanna M.; Whelan, Christopher D.; Wright, Margaret J.; Ye, Jieping; ENIGMA Consortium; Radiology and Imaging Sciences, School of MedicineIn this review, we discuss recent work by the ENIGMA Consortium (http://enigma.ini.usc.edu) – a global alliance of over 500 scientists spread across 200 institutions in 35 countries collectively analyzing brain imaging, clinical, and genetic data. Initially formed to detect genetic influences on brain measures, ENIGMA has grown to over 30 working groups studying 12 major brain diseases by pooling and comparing brain data. In some of the largest neuroimaging studies to date – of schizophrenia and major depression – ENIGMA has found replicable disease effects on the brain that are consistent worldwide, as well as factors that modulate disease effects. In partnership with other consortia including ADNI, CHARGE, IMAGEN and others1, ENIGMA's genomic screens – now numbering over 30,000 MRI scans – have revealed at least 8 genetic loci that affect brain volumes. Downstream of gene findings, ENIGMA has revealed how these individual variants – and genetic variants in general – may affect both the brain and risk for a range of diseases. The ENIGMA consortium is discovering factors that consistently affect brain structure and function that will serve as future predictors linking individual brain scans and genomic data. It is generating vast pools of normative data on brain measures – from tens of thousands of people – that may help detect deviations from normal development or aging in specific groups of subjects. We discuss challenges and opportunities in applying these predictors to individual subjects and new cohorts, as well as lessons we have learned in ENIGMA's efforts so far.Item The Genetic Architecture of the Human Cerebral Cortex(American Association for the Advancement of Science, 2020-03-20) Grasby, Katrina L.; Jahanshad, Neda; Painter, Jodie N.; Colodro-Conde, Lucía; Bralten, Janita; Hibar, Derrek P.; Lind, Penelope A.; Pizzagalli, Fabrizio; Ching, Christopher R.K.; McMahon, Mary Agnes B.; Shatokhina, Natalia; Zsembik, Leo C.P.; Thomopoulos, Sophia I.; Zhu, Alyssa H.; Strike, Lachlan T.; Agartz, Ingrid; Alhusaini, Saud; Almeida, Marcio A.A.; 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 E.L.; 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 M.C.; 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 C.V.; Mühleisen, Thomas W.; Müller-Myhsok, Bertram; Najt, Pablo; Nakahara, Soichiro; Nho, Kwangsik; lde Loohuis, Loes M.O.; 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.; Roth Mota, Nina; 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 M.J.; van Eijk, Liza; van Erp, Theo G.M.; van Haren, Neeltje E.M.; 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-Arriol, Rosa; Belger, Aysenil; Brandt, Christine L.; Brown, Gregory G.; Cichon, Sven; Curran, Joanne E.; Davies, Gareth E.; Degenhard, 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.,Jr.; 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; Paillère Martinot, Marie-Laure; 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 H.H.; Bis, Joshua C.; Debette, Stephanie; Decarli, Charles; Fornage, Myriam; Gudnason, Vilmundur; Hofer, Edith; Ikram, M. Arfan; Launer, Lenore; Longstreth, W.T.; Lopez, Oscar L.; Mazoyer, Bernard; Mosley, Thomas H.; Roshchupkin, Gennady V.; Satizabal, Claudia L.; Schmidt, Reinhold; Seshadri, Sudha; Yang, Qiong; Alvim, Marina K.M.; 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 J.C.; 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 H.J.; 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 T.J.; Kochunov, Peter; Kwok, John B.J.; 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 W.J.H.; Polderman, Tinca J.C.; 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 J.A.; 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.; Radiology and Imaging Sciences, School of MedicineThe 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.Item Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging(Springer Nature, 2017-09) Petrov, Dmitry; Gutman, Boris A.; Yu, Shih-Hua (Julie); 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-Gutirrez, Diana; Shen, Li; Lebedeva, Irina; Spalletta, Gianfranco; Donohoe, Gary; Kochunov, Peter; Rosa, Pedro G.P.; James, Anthony; Dannlowski, Udo; Baune, Berhard 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; Richer-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, Illya M.; Li, Meng; Wu, Mon-Ju; Irungu, Benson; Walton, Esther; Thompson, Paul M.; Medicine, School of MedicineAs 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.