Browsing by Author "Jahanshad, Neda"

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    Adaptive Identification of Cortical and Subcortical Imaging Markers of Early Life Stress and Posttraumatic Stress Disorder
    (Wiley, 2019-05) Salminen, Lauren E.; Morey, Rajendra A.; Riedel, Brandalyn C.; Jahanshad, Neda; Dennis, Emily L.; Thompson, Paul M.; Radiology and Imaging Sciences, School of Medicine
    Posttraumatic stress disorder (PTSD) is a heterogeneous condition associated with a range of brain imaging abnormalities. Early life stress (ELS) contributes to this heterogeneity, but we do not know how a history of ELS influences traditionally defined brain signatures of PTSD. Here, we used a novel machine learning method – evolving partitions to improve classification (EPIC) – to identify shared and unique structural neuroimaging markers of ELS and PTSD in 97 combat-exposed military veterans. METHODS: We used EPIC with repeated cross-validation (CV) to determine how combinations of cortical thickness, surface area, and subcortical brain volumes could contribute to classification of PTSD (n = 40) versus controls (n = 57), and classification of ELS within the PTSD (ELS+ n = 16; ELS− n = 24) and control groups (ELS+ n = 16; ELS− n = 41). Additional inputs included intracranial volume, age, sex, adult trauma, and depression. RESULTS: On average, EPIC classified PTSD with 69% accuracy (SD = 5%), and ELS with 64% accuracy in the PTSD group (SD = 10%), and 62% accuracy in controls (SD = 6%). EPIC selected unique sets of individual features that classified each group with 75–85% accuracy in post hoc analyses; combinations of regions marginally improved classification from the individual atlas-defined brain regions. Across analyses, surface area in the right posterior cingulate was the only variable that was repeatedly selected as an important feature for classification of PTSD and ELS. CONCLUSIONS: EPIC revealed unique patterns of features that distinguished PTSD and ELS in this sample of combat-exposed military veterans, which may represent distinct biotypes of stress-related neuropathology.
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    Altered Cortical Brain Structure and Increased Risk for Disease Seen Decades After Perinatal Exposure to Maternal Smoking: A Study of 9000 Adults in the UK Biobank
    (Oxford Academic, 2019-12-17) Salminen, Lauren E.; Wilcox, Rand R.; Zhu, Alyssa H.; Riedel, Brandalyn C.; Ching, Christopher R.K.; Rashid, Faisal; Thomopoulos, Sophia I.; Saremi, Arvin; Harrison, Marc B.; Ragothaman, Anjanibhargavi; Knight, Victoria; Boyle, Christina P.; Medland, Sarah E.; Thompson, Paul M.; Jahanshad, Neda; Radiology and Imaging Sciences, School of Medicine
    Secondhand smoke exposure is a major public health risk that is especially harmful to the developing brain, but it is unclear if early exposure affects brain structure during middle age and older adulthood. Here we analyzed brain MRI data from the UK Biobank in a population-based sample of individuals (ages 44–80) who were exposed (n = 2510) or unexposed (n = 6079) to smoking around birth. We used robust statistical models, including quantile regressions, to test the effect of perinatal smoke exposure (PSE) on cortical surface area (SA), thickness, and subcortical volumes. We hypothesized that PSE would be associated with cortical disruption in primary sensory areas compared to unexposed (PSE−) adults. After adjusting for multiple comparisons, SA was significantly lower in the pericalcarine (PCAL), inferior parietal (IPL), and regions of the temporal and frontal cortex of PSE+ adults; these abnormalities were associated with increased risk for several diseases, including circulatory and endocrine conditions. Sensitivity analyses conducted in a hold-out group of healthy participants (exposed, n = 109, unexposed, n = 315) replicated the effect of PSE on SA in the PCAL and IPL. Collectively our results show a negative, long term effect of PSE on sensory cortices that may increase risk for disease later in life.
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    Common genetic variants influence human subcortical brain structures
    (Nature Publishing Group, 2015-04-09) Hibar, Derrek P.; Stein, Jason L.; Renteria, Miguel E.; Arias-Vasquez, Alejandro; Desrivières, Sylvane; Jahanshad, Neda; Toro, Roberto; Wittfeld, Katharina; Abramovic, Lucija; Andersson, Micael; Aribisala, Benjamin S.; Armstrong, Nicola J.; Bernard, Manon; Bohlken, Marc M.; Boks, Marco P.; Bralten, Janita; Brown, Andrew A.; Chakravarty, M. Mallar; Chen, Qiang; Ching, Christopher R. K.; Cuellar-Partida, Gabriel; den Braber, Anouk; Giddaluru, Sudheer; Goldman, Aaron L.; Grimm, Oliver; Guadalupe, Tulio; Hass, Johanna; Woldehawariat, Girma; Holmes, Avram J.; Hoogman, Martine; Janowitz, Deborah; Jia, Tianye; Kim, Sungeun; Klein, Marieke; Kraemer, Bernd; Lee, Phil H.; Olde Loohuis, Loes M.; Luciano, Michelle; Macare, Christine; Mather, Karen A.; Mattheisen, Manuel; Milaneschi, Yuri; Nho, Kwangsik; Papmeyer, Martina; Ramasamy, Adaikalavan; Risacher, Shannon L.; Roiz-Santiañez, Roberto; Rose, Emma J.; Salami, Alireza; Sämann, Philipp G.; Schmaal, Lianne; Schork, Andrew J.; Shin, Jean; Strike, Lachlan T.; Teumer, Alexander; van Donkelaar, Marjolein M. J.; van Eijk, Kristel R.; Walters, Raymond K.; Westlye, Lars T.; Whelan, Christopher D.; Winkler, Anderson M.; Zwiers, Marcel P.; Alhusaini, Saud; Athanasiu, Lavinia; Ehrlich, Stefan; Hakobjan, Marina M. H.; Hartberg, Cecilie B.; Haukvik, Unn K.; Heister, Angelien J. G. A. M.; Hoehn, David; Kasperaviciute, Dalia; Liewald, David C. M.; Lopez, Lorna M.; Makkinje, Remco R. R.; Matarin, Mar; Naber, Marlies A. M.; McKay, D. Reese; Needham, Margaret; Nugent, Allison C.; Pütz, Benno; Royle, Natalie A.; Shen, Li; Sprooten, Emma; Trabzuni, Daniah; van der Marel, Saskia S. L.; van Hulzen, Kimm J. E.; Walton, Esther; Wolf, Christiane; Almasy, Laura; Ames, David; Arepalli, Sampath; Assareh, Amelia A.; Bastin, Mark E.; Brodaty, Henry; Bulayeva, Kazima B.; Carless, Melanie A.; Cichon, Sven; Corvin, Aiden; Curran, Joanne E.; Czisch, Michael; de Zubicaray, Greig I.; Dillman, Allissa; Duggirala, Ravi; Dyer, Thomas D.; Erk, Susanne; Fedko, Iryna O.; Ferrucci, Luigi; Foroud, Tatiana M.; Fox, Peter T.; Fukunaga, Masaki; Gibbs, J. Raphael; Göring, Harald H. H.; Green, Robert C.; Guelfi, Sebastian; Hansell, Narelle K.; Hartman, Catharina A.; Hegenscheid, Katrin; Heinz, Andreas; Hernandez, Dena G.; Heslenfeld, Dirk J.; Hoekstra, Pieter J.; Holsboer, Florian; Homuth, Georg; Hottenga, Jouke-Jan; Ikeda, Masashi; Jack, Clifford R.; Jenkinson, Mark; Johnson, Robert; Kanai, Ryota; Keil, Maria; Kent, Jack W.; Kochunov, Peter; Kwok, John B.; Lawrie, Stephen M.; Liu, Xinmin; Longo, Dan L.; McMahon, Katie L.; Meisenzahl, Eva; Melle, Ingrid; Mohnke, Sebastian; Montgomery, Grant W.; Mostert, Jeanette C.; Mühleisen, Thomas W.; Nalls, Michael A.; Nichols, Thomas E.; Nilsson, Lars G.; Nöthen, Markus M.; Ohi, Kazutaka; Olvera, Rene L.; Perez-Iglesias, Rocio; Pike, G. Bruce; Potkin, Steven G.; Reinvang, Ivar; Reppermund, Simone; Rietschel, Marcella; Romanczuk-Seiferth, Nina; Rosen, Glenn D.; Rujescu, Dan; Schnell, Knut; Schofield, Peter R.; Smith, Colin; Steen, Vidar M.; Sussmann, Jessika E.; Thalamuthu, Anbupalam; Toga, Arthur W.; Traynor, Bryan J.; Troncoso, Juan; Turner, Jessica A.; Valdés Hernández, Maria C.; van ’t Ent, Dennis; van der Brug, Marcel; van der Wee, Nic J. A.; van Tol, Marie-Jose; Veltman, Dick J.; Wassink, Thomas H.; Westman, Eric; Zielke, Ronald H.; Zonderman, Alan B.; Ashbrook, David G.; Hager, Reinmar; Lu, Lu; McMahon, Francis J.; Morris, Derek W.; Williams, Robert W.; Brunner, Han G.; Buckner, Randy L.; Buitelaar, Jan K.; Cahn, Wiepke; Calhoun, Vince D.; Cavalleri, Gianpiero L.; Crespo-Facorro, Benedicto; Dale, Anders M.; Davies, Gareth E.; Delanty, Norman; Depondt, Chantal; Djurovic, Srdjan; Drevets, Wayne C.; Espeseth, Thomas; Gollub, Randy L.; Ho, Beng-Choon; Hoffmann, Wolfgang; Hosten, Norbert; Kahn, René S.; Le Hellard, Stephanie; Meyer-Lindenberg, Andreas; Müller-Myhsok, Bertram; Nauck, Matthias; Nyberg, Lars; Pandolfo, Massimo; Penninx, Brenda W. J. H.; Roffman, Joshua L.; Sisodiya, Sanjay M.; Smoller, Jordan W.; van Bokhoven, Hans; van Haren, Neeltje E. M.; Völzke, Henry; Walter, Henrik; Weiner, Michael W.; Wen, Wei; White, Tonya; Agartz, Ingrid; Andreassen, Ole A.; Blangero, John; Boomsma, Dorret I.; Brouwer, Rachel M.; Cannon, Dara M.; Cookson, Mark R.; de Geus, Eco J. C.; Deary, Ian J.; Donohoe, Gary; Fernández, Guillén; Fisher, Simon E.; Francks, Clyde; Glahn, David C.; Grabe, Hans J.; Gruber, Oliver; Hardy, John; Hashimoto, Ryota; Hulshoff Pol, Hilleke E.; Jönsson, Erik G.; Kloszewska, Iwona; Lovestone, Simon; Mattay, Venkata S.; Mecocci, Patrizia; McDonald, Colm; McIntosh, Andrew M.; Ophoff, Roel A.; Paus, Tomas; Pausova, Zdenka; Ryten, Mina; Sachdev, Perminder S.; Saykin, Andrew J.; Simmons, Andy; Singleton, Andrew; Soininen, Hilkka; Wardlaw, Joanna M.; Weale, Michael E.; Weinberger, Daniel R.; Adams, Hieab H. H.; Launer, Lenore J.; Seiler, Stephan; Schmidt, Reinhold; Chauhan, Ganesh; Satizabal, Claudia L.; Becker, James T.; Yanek, Lisa; van der Lee, Sven J.; Ebling, Maritza; Fischl, Bruce; Longstreth, W. T.; Greve, Douglas; Schmidt, Helena; Nyquist, Paul; Vinke, Louis N.; van Duijn, Cornelia M.; Xue, Luting; Mazoyer, Bernard; Bis, Joshua C.; Gudnason, Vilmundur; Seshadri, Sudha; Ikram, M. Arfan; Martin, Nicholas G.; Wright, Margaret J.; Schumann, Gunter; Franke, Barbara; Thompson, Paul M.; Medland, Sarah E.; Department of Radiology and Imaging Sciences, IU School of Medicine
    The highly complex structure of the human brain is strongly shaped by genetic influences. Subcortical brain regions form circuits with cortical areas to coordinate movement, learning, memory and motivation, and altered circuits can lead to abnormal behaviour and disease. To investigate how common genetic variants affect the structure of these brain regions, here we conduct genome-wide association studies of the volumes of seven subcortical regions and the intracranial volume derived from magnetic resonance images of 30,717 individuals from 50 cohorts. We identify five novel genetic variants influencing the volumes of the putamen and caudate nucleus. We also find stronger evidence for three loci with previously established influences on hippocampal volume and intracranial volume. These variants show specific volumetric effects on brain structures rather than global effects across structures. The strongest effects were found for the putamen, where a novel intergenic locus with replicable influence on volume (rs945270
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    Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3-90 years
    (Wiley, 2022-01) Frangou, Sophia; Modabbernia, Amirhossein; Williams, Steven C.R.; Papachristou, Efstathios; Doucet, Gaelle E.; Agartz, Ingrid; Aghajani, Moji; Akudjedu, Theophilus N.; Albajes-Eizagirre, Anton; Alnæs, Dag; Alpert, Kathryn I.; Andersson, Micael; Andreasen, Nancy C.; Andreassen, Ole A.; Asherson, Philip; Banaschewski, Tobias; Bargallo, Nuria; Baumeister, Sarah; Baur-Streubel, Ramona; Bertolino, Alessandro; Bonvino, Aurora; Boomsma, Dorret I.; Borgwardt, Stefan; Bourque, Josiane; Brandeis, Daniel; Breier, Alan; Brodaty, Henry; Brouwer, Rachel M.; Buitelaar, Jan K.; Busatto, Geraldo F.; Buckner, Randy L.; Calhoun, Vincent; Canales-Rodríguez, Erick J.; Cannon, Dara M.; Caseras, Xavier; Castellanos, Francisco X.; Cervenka, Simon; Chaim-Avancini, Tiffany M.; Ching, Christopher R.K.; Chubar, Victoria; Clark, Vincent P.; Conrod, Patricia; Conzelmann, Annette; Crespo-Facorro, Benedicto; Crivello, Fabrice; Crone, Eveline A.; Dale, Anders M.; Dannlowski, Udo; Davey, Christopher; de Geus, Eco J.C.; de Haan, Lieuwe; de Zubicaray, Greig I.; den Braber, Anouk; Dickie, Erin W.; Di Giorgio, Annabella; Doan, Nhat Trung; Dørum, Erlend S.; Ehrlich, Stefan; Erk, Susanne; Espeseth, Thomas; Fatouros-Bergman, Helena; Fisher, Simon E.; Fouche, Jean-Paul; Franke, Barbara; Frodl, Thomas; Fuentes-Claramonte, Paola; Glahn, David C.; Gotlib, Ian H.; Grabe, Hans-Jörgen; Grimm, Oliver; Groenewold, Nynke A.; Grotegerd, Dominik; Gruber, Oliver; Gruner, Patricia; Gur, Rachel E.; Gur, Ruben C.; Hahn, Tim; Harrison, Ben J.; Hartman, Catharine A.; Hatton, Sean N.; Heinz, Andreas; Heslenfeld, Dirk J.; Hibar, Derrek P.; Hickie, Ian B.; Ho, Beng-Choon; Hoekstra, Pieter J.; Hohmann, Sarah; Holmes, Avram J.; Hoogman, Martine; Hosten, Norbert; Howells, Fleur M.; Hulshoff Pol, Hilleke E.; Huyser, Chaim; Jahanshad, Neda; James, Anthony; Jernigan, Terry L.; Jiang, Jiyang; Jönsson, Erik G.; Joska, John A.; Kahn, Rene; Kalnin, Andrew; Kanai, Ryota; Klein, Marieke; Klyushnik, Tatyana P.; Koenders, Laura; Koops, Sanne; Krämer, Bernd; Kuntsi, Jonna; Lagopoulos, Jim; Lázaro, Luisa; Lebedeva, Irina; Lee, Won Hee; Lesch, Klaus-Peter; Lochner, Christine; Machielsen, Marise W.J.; Maingault, Sophie; Martin, Nicholas G.; Martínez-Zalacaín, Ignacio; Mataix-Cols, David; Mazoyer, Bernard; McDonald, Colm; McDonald, Brenna C.; McIntosh, Andrew M.; McMahon, Katie L.; McPhilemy, Genevieve; Meinert, Susanne; Menchón, José M.; Medland, Sarah E.; Meyer-Lindenberg, Andreas; Naaijen, Jilly; Najt, Pablo; Nakao, Tomohiro; Nordvik, Jan E.; Nyberg, Lars; Oosterlaan, Jaap; Ortiz-García de la Foz, Víctor; Paloyelis, Yannis; Pauli, Paul; Pergola, Giulio; Pomarol-Clotet, Edith; Portella, Maria J.; Potkin, Steven G.; Radua, Joaquim; Reif, Andreas; Rinker, Daniel A.; Roffman, Joshua L.; Rosa, Pedro G.P.; Sacchet, Matthew D.; Sachdev, Perminder S.; Salvador, Raymond; Sánchez-Juan, Pascual; Sarró, Salvador; Satterthwaite, Theodore D.; Saykin, Andrew J.; Serpa, Mauricio H.; Schmaal, Lianne; Schnell, Knut; Schumann, Gunter; Sim, Kang; Smoller, Jordan W.; Sommer, Iris; Soriano-Mas, Carles; Stein, Dan J.; Strike, Lachlan T.; Swagerman, Suzanne C.; Tamnes, Christian K.; Temmingh, Henk S.; Thomopoulos, Sophia I.; Tomyshev, Alexander S.; Tordesillas-Gutiérrez, Diana; Trollor, Julian N.; Turner, Jessica A.; Uhlmann, Anne; van den Heuvel, Odile A.; van den Meer, Dennis; van der Wee, Nic J.A.; van Haren, Neeltje E.M.; van't Ent, Dennis; van Erp, Theo G.M.; Veer, Ilya M.; Veltman, Dick J.; Voineskos, Aristotle; Völzke, Henry; Walter, Henrik; Walton, Esther; Wang, Lei; Wang, Yang; Wassink, Thomas H.; Weber, Bernd; Wen, Wei; West, John D.; Westlye, Lars T.; Whalley, Heather; Wierenga, Lara M.; Wittfeld, Katharina; Wolf, Daniel H.; Worker, Amanda; Wright, Margaret J.; Yang, Kun; Yoncheva, Yulyia; Zanetti, Marcus V.; Ziegler, Georg C.; Karolinska Schizophrenia Project (KaSP); Thompson, Paul M.; Dima, Danai; Radiology and Imaging Sciences, School of Medicine
    Delineating the association of age and cortical thickness in healthy individuals is critical given the association of cortical thickness with cognition and behavior. Previous research has shown that robust estimates of the association between age and brain morphometry require large-scale studies. In response, we used cross-sectional data from 17,075 individuals aged 3-90 years from the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) Consortium to infer age-related changes in cortical thickness. We used fractional polynomial (FP) regression to quantify the association between age and cortical thickness, and we computed normalized growth centiles using the parametric Lambda, Mu, and Sigma method. Interindividual variability was estimated using meta-analysis and one-way analysis of variance. For most regions, their highest cortical thickness value was observed in childhood. Age and cortical thickness showed a negative association; the slope was steeper up to the third decade of life and more gradual thereafter; notable exceptions to this general pattern were entorhinal, temporopolar, and anterior cingulate cortices. Interindividual variability was largest in temporal and frontal regions across the lifespan. Age and its FP combinations explained up to 59% variance in cortical thickness. These results may form the basis of further investigation on normative deviation in cortical thickness and its significance for behavioral and cognitive outcomes.
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    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 Medicine
    In 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.
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    Epigenome-wide meta-analysis of blood DNA methylation and its association with subcortical volumes: findings from the ENIGMA Epigenetics Working Group
    (Springer Nature, 2021) Jia, Tianye; Chu, Congying; Liu, Yun; Van Dongen, Jenny; Papastergios, Evangelos; Armstrong, Nicola J.; Bastin, Mark E.; Carrillo-Roa, Tania; den Braber, Anouk; Harris, Mathew; Jansen, Rick; Liu, Jingyu; Luciano, Michelle; Ori, Anil P.S.; Santiañez, Roberto Roiz; Ruggeri, Barbara; Sarkisyan, Daniil; Shin, Jean; Sungeun, Kim; Tordesillas Gutiérrez, Diana; van't Ent, Dennis; Ames, David; Artiges, Eric; Bakalkin, Georgy; Banaschewski, Tobias; Bokde, Arun L.W.; Brodaty, Henry; Bromberg, Uli; Brouwer, Rachel; Büchel, Christian; Burke Quinlan, Erin; Cahn, Wiepke; de Zubicaray, Greig I.; Ehrlich, Stefan; Ekström, Tomas J.; Flor, Herta; Fröhner, Juliane H.; Frouin, Vincent; Garavan, Hugh; Gowland, Penny; Heinz, Andreas; Hoare, Jacqueline; Ittermann, Bernd; Jahanshad, Neda; Jiang, Jiyang; Kwok, John B.; Martin, Nicholas G.; Martinot, Jean-Luc; Mather, Karen A.; McMahon, Katie L.; McRae, Allan F.; Nees, Frauke; Orfanos, Dimitri Papadopoulos; Paus, Tomáš; Poustka, Luise; Sämann, Philipp G.; Schofield, Peter R.; Smolka, Michael N.; Stein, Dan J.; Strike, Lachlan T.; Teeuw, Jalmar; Thalamuthu, Anbupalam; Trollor, Julian; Walter, Henrik; Wardlaw, Joanna M.; Wen, Wei; Whelan, Robert; Apostolova, Liana G.; Binder, Elisabeth B.; Boomsma, Dorret I.; Calhoun, Vince; Crespo-Facorro, Benedicto; Deary, Ian J.; Hulshoff Pol, Hilleke; Ophoff, Roel A.; Pausova, Zdenka; Sachdev, Perminder S.; Saykin, Andrew; Wright, Margaret J.; Thompson, Paul M.; Schumann, Gunter; Desrivières, Sylvane; Radiology and Imaging Sciences, School of Medicine
    DNA methylation, which is modulated by both genetic factors and environmental exposures, may offer a unique opportunity to discover novel biomarkers of disease-related brain phenotypes, even when measured in other tissues than brain, such as blood. A few studies of small sample sizes have revealed associations between blood DNA methylation and neuropsychopathology, however, large-scale epigenome-wide association studies (EWAS) are needed to investigate the utility of DNA methylation profiling as a peripheral marker for the brain. Here, in an analysis of eleven international cohorts, totalling 3337 individuals, we report epigenome-wide meta-analyses of blood DNA methylation with volumes of the hippocampus, thalamus and nucleus accumbens (NAcc)—three subcortical regions selected for their associations with disease and heritability and volumetric variability. Analyses of individual CpGs revealed genome-wide significant associations with hippocampal volume at two loci. No significant associations were found for analyses of thalamus and nucleus accumbens volumes. Cluster-based analyses revealed additional differentially methylated regions (DMRs) associated with hippocampal volume. DNA methylation at these loci affected expression of proximal genes involved in learning and memory, stem cell maintenance and differentiation, fatty acid metabolism and type-2 diabetes. These DNA methylation marks, their interaction with genetic variants and their impact on gene expression offer new insights into the relationship between epigenetic variation and brain structure and may provide the basis for biomarker discovery in neurodegeneration and neuropsychiatric conditions.
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    Genetic architecture of subcortical brain structures in 38,851 individuals
    (Nature, 2019-11) Satizabal, Claudia L.; Adams, Hieab H. H.; Hibar, Derrek P.; White, Charles C.; Knol, Maria J.; Stein, Jason L.; Scholz, Markus; Sargurupremraj, Muralidharan; Jahanshad, Neda; Roshchupkin, Gennady V.; Smith, Albert V.; Bis, Joshua C.; Jian, Xueqiu; Luciano, Michelle; Hofer, Edith; Teumer, Alexander; van der Lee, Sven J.; Yang, Jingyun; Yanek, Lisa R.; Lee, Tom V.; Li, Shuo; Hu, Yanhui; Koh, Jia Yu; Eicher, John D.; Desrivières, Sylvane; Arias-Vasquez, Alejandro; Chauhan, Ganesh; Athanasiu, Lavinia; Rentería, Miguel E.; Kim, Sungeun; Hoehn, David; Armstrong, Nicola J.; Chen, Qiang; Holmes, Avram J.; den Braber, Anouk; Kloszewska, Iwona; Andersson, Micael; Espeseth, Thomas; Grimm, Oliver; Abramovic, Lucija; Alhusaini, Saud; Milaneschi, Yuri; Papmeyer, Martina; Axelsson, Tomas; Ehrlich, Stefan; Roiz-Santiañez, Roberto; Kraemer, Bernd; Håberg, Asta K.; Jones, Hannah J.; Pike, G. Bruce; Stein, Dan J.; Stevens, Allison; Bralten, Janita; Vernooij, Meike W.; Harris, Tamara B.; Filippi, Irina; Witte, A. Veronica; Guadalupe, Tulio; Wittfeld, Katharina; Mosley, Thomas H.; Becker, James T.; Doan, Nhat Trung; Hagenaars, Saskia P.; Saba, Yasaman; Cuellar-Partida, Gabriel; Amin, Najaf; Hilal, Saima; Nho, Kwangsik; Mirza-Schreiber, Nazanin; Arfanakis, Konstantinos; Becker, Diane M.; Ames, David; Goldman, Aaron L.; Lee, Phil H.; Boomsma, Dorret I.; Lovestone, Simon; Giddaluru, Sudheer; Le Hellard, Stephanie; Mattheisen, Manuel; Bohlken, Marc M.; Kasperaviciute, Dalia; Schmaal, Lianne; Lawrie, Stephen M.; Agartz, Ingrid; Walton, Esther; Tordesillas-Gutierrez, Diana; Davies, Gareth E.; Shin, Jean; Ipser, Jonathan C.; Vinke, Louis N.; Hoogman, Martine; Jia, Tianye; Burkhardt, Ralph; Klein, Marieke; Crivello, Fabrice; Janowitz, Deborah; Carmichael, Owen; Haukvik, Unn K.; Aribisala, Benjamin S.; Schmidt, Helena; Strike, Lachlan T.; Cheng, Ching-Yu; Risacher, Shannon L.; Pütz, Benno; Fleischman, Debra A.; Assareh, Amelia A.; Mattay, Venkata S.; Buckner, Randy L.; Mecocci, Patrizia; Dale, Anders M.; Cichon, Sven; Boks, Marco P.; Matarin, Mar; Penninx, Brenda W. J. H.; Calhoun, Vince D.; Chakravarty, M. Mallar; Marquand, Andre F.; Macare, Christine; Kharabian Masouleh, Shahrzad; Oosterlaan, Jaap; Amouyel, Philippe; Hegenscheid, Katrin; Rotter, Jerome I.; Schork, Andrew J.; Liewald, David C. M.; de Zubicaray, Greig I.; Wong, Tien Yin; Shen, Li; Sämann, Philipp G.; Brodaty, Henry; Roffman, Joshua L.; de Geus, Eco J. C.; Tsolaki, Magda; Erk, Susanne; van Eijk, Kristel R.; Cavalleri, Gianpiero L.; van der Wee, Nic J. A.; McIntosh, Andrew M.; Gollub, Randy L.; Bulayeva, Kazima B.; Bernard, Manon; Richards, Jennifer S.; Himali, Jayandra J.; Loeffler, Markus; Rommelse, Nanda; Hoffmann, Wolfgang; Westlye, Lars T.; Valdés Hernández, Maria C.; Hansell, Narelle K.; van Erp, Theo G. M.; Wolf, Christiane; Kwok, John B. J.; Vellas, Bruno; Heinz, Andreas; Olde Loohuis, Loes M.; Delanty, Norman; Ho, Beng-Choon; Ching, Christopher R. K.; Shumskaya, Elena; Singh, Baljeet; Hofman, Albert; van der Meer, Dennis; Homuth, Georg; Psaty, Bruce M.; Bastin, Mark E.; Montgomery, Grant W.; Foroud, Tatiana M.; Reppermund, Simone; Hottenga, Jouke-Jan; Simmons, Andrew; Meyer-Lindenberg, Andreas; Cahn, Wiepke; Whelan, Christopher D.; van Donkelaar, Marjolein M. J.; Yang, Qiong; Hosten, Norbert; Green, Robert C; Thalamuthu, Anbupalam; Mohnke, Sebastian; Hulshoff Pol, Hilleke E.; Lin, Honghuang; Jack, Clifford R.; Schofield, Peter R.; Mühleisen, Thomas W.; Maillard, Pauline; Potkin, Steven G.; Wen, Wei; Fletcher, Evan; Toga, Arthur W.; Gruber, Oliver; Huentelman, Matthew; Davey Smith, George; Launer, Lenore J.; Nyberg, Lars; Jönsson, Erik G.; Crespo-Facorro, Benedicto; Koen, Nastassja; Greve, Douglas N.; Uitterlinden, André G.; Weinberger, Daniel R.; Steen, Vidar M.; Fedko, Iryna O.; Groenewold, Nynke A.; Niessen, Wiro J.; Toro, Roberto; Tzourio, Christophe; Longstreth, William T.; Ikram, M. Kamran; Smoller, Jordan W.; van Tol, Marie-Jose; Sussmann, Jessika E.; Paus, Tomas; Lemaître, Hervé; Schroeter, Matthias L.; Mazoyer, Bernard; Andreassen, Ole A.; Holsboer, Florian; Depondt, Chantal; Veltman, Dick J.; Turner, Jessica A.; Pausova, Zdenka; Schumann, Gunter; van Rooij, Daan; Djurovic, Srdjan; Deary, Ian J.; McMahon, Katie L.; Müller-Myhsok, Bertram; Brouwer, Rachel M.; Soininen, Hilkka; Pandolfo, Massimo; Wassink, Thomas H.; Cheung, Joshua W.; Wolfers, Thomas; Martinot, Jean-Luc; Zwiers, Marcel P.; Nauck, Matthias; Melle, Ingrid; Martin, Nicholas G.; Kanai, Ryota; Westman, Eric; Kahn, René S.; Sisodiya, Sanjay M.; White, Tonya; Saremi, Arvin; van Bokhoven, Hans; Brunner, Han G.; Völzke, Henry; Wright, Margaret J.; van ‘t Ent, Dennis; Nöthen, Markus M.; Ophoff, Roel A.; Buitelaar, Jan K.; Fernández, Guillén; Sachdev, Perminder S.; Rietschel, Marcella; van Haren, Neeltje E. M.; Fisher, Simon E.; Beiser, Alexa S.; Francks, Clyde; Saykin, Andrew J.; Mather, Karen A.; Romanczuk-Seiferth, Nina; Hartman, Catharina A.; DeStefano, Anita L.; Heslenfeld, Dirk J.; Weiner, Michael W.; Walter, Henrik; Hoekstra, Pieter J.; Nyquist, Paul A.; Franke, Barbara; Bennett, David A.; Grabe, Hans J.; Johnson, Andrew D.; Chen, Christopher; van Duijn, Cornelia M.; Lopez, Oscar L.; Fornage, Myriam; Wardlaw, Joanna M.; Schmidt, Reinhold; DeCarli, Charles; De Jager, Philip L.; Villringer, Arno; Debette, Stéphanie; Gudnason, Vilmundur; Medland, Sarah E.; Shulman, Joshua M.; Thompson, Paul M.; Seshadri, Sudha; Ikram, M. Arfan; Medical and Molecular Genetics, School of Medicine
    Subcortical brain structures are integral to motion, consciousness, emotions and learning. We identified common genetic variation related to the volumes of the nucleus accumbens, amygdala, brainstem, caudate nucleus, globus pallidus, putamen and thalamus, using genome-wide association analyses in almost 40,000 individuals from CHARGE, ENIGMA and UK Biobank. We show that variability in subcortical volumes is heritable, and identify 48 significantly associated loci (40 novel at the time of analysis). Annotation of these loci by utilizing gene expression, methylation and neuropathological data identified 199 genes putatively implicated in neurodevelopment, synaptic signaling, axonal transport, apoptosis, inflammation/infection and susceptibility to neurological disorders. This set of genes is significantly enriched for Drosophila orthologs associated with neurodevelopmental phenotypes, suggesting evolutionarily conserved mechanisms. Our findings uncover novel biology and potential drug targets underlying brain development and disease.
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    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 Medicine
    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.
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    Greater male than female variability in regional brain structure across the lifespan
    (Wiley, 2021) Wierenga, Lara M.; Doucet, Gaelle E.; Dima, Danai; Agartz, Ingrid; Aghajani, Moji; Akudjedu, Theophilus N.; Albajes‐Eizagirre, Anton; Alnæs, Dag; Alpert, Kathryn I.; Andreassen, Ole A.; Anticevic, Alan; Asherson, Philip; Banaschewski, Tobias; Bargallo, Nuria; Baumeister, Sarah; Baur‐Streubel, Ramona; Bertolino, Alessandro; Bonvino, Aurora; Boomsma, Dorret I.; Borgwardt, Stefan; Bourque, Josiane; Braber, Anouk; Brandeis, Daniel; Breier, Alan; Brodaty, Henry; Brouwer, Rachel M.; Buitelaar, Jan K.; Busatto, Geraldo F.; Calhoun, Vince D.; Canales‐Rodríguez, Erick J.; Cannon, Dara M.; Caseras, Xavier; Castellanos, Francisco X.; Chaim‐Avancini, Tiffany M.; Ching, Christopher R. K.; Clark, Vincent P.; Conrod, Patricia J.; Conzelmann, Annette; Crivello, Fabrice; Davey, Christopher G.; Dickie, Erin W.; Ehrlich, Stefan; Ent, Dennis; Fisher, Simon E.; Fouche, Jean‐Paul; Franke, Barbara; Fuentes‐Claramonte, Paola; Geus, Eco J. C.; Di Giorgio, Annabella; Glahn, David C.; Gotlib, Ian H.; Grabe, Hans J.; Gruber, Oliver; Gruner, Patricia; Gur, Raquel E.; Gur, Ruben C.; Gurholt, Tiril P.; Haan, Lieuwe; Haatveit, Beathe; Harrison, Ben J.; Hartman, Catharina A.; Hatton, Sean N.; Heslenfeld, Dirk J.; Heuvel, Odile A.; Hickie, Ian B.; Hoekstra, Pieter J.; Hohmann, Sarah; Holmes, Avram J.; Hoogman, Martine; Hosten, Norbert; Howells, Fleur M.; Hulshoff Pol, Hilleke E.; Huyser, Chaim; Jahanshad, Neda; James, Anthony C.; Jiang, Jiyang; Jönsson, Erik G.; Joska, John A.; Kalnin, Andrew J.; Karolinska Schizophrenia Project (KaSP) Consortium; Klein, Marieke; Koenders, Laura; Kolskår, Knut K.; Krämer, Bernd; Kuntsi, Jonna; Lagopoulos, Jim; Lazaro, Luisa; Lebedeva, Irina S.; Lee, Phil H.; Lochner, Christine; Machielsen, Marise W. J.; Maingault, Sophie; Martin, Nicholas G.; Martínez‐Zalacaín, Ignacio; Mataix‐Cols, David; Mazoyer, Bernard; McDonald, Brenna C.; McDonald, Colm; McIntosh, Andrew M.; McMahon, Katie L.; McPhilemy, Genevieve; Meer, Dennis; Menchón, José M.; Naaijen, Jilly; Nyberg, Lars; Oosterlaan, Jaap; Paloyelis, Yannis; Pauli, Paul; Pergola, Giulio; Pomarol‐Clotet, Edith; Portella, Maria J.; Radua, Joaquim; Reif, Andreas; Richard, Geneviève; Roffman, Joshua L.; Rosa, Pedro G. P.; Sacchet, Matthew D.; Sachdev, Perminder S.; Salvador, Raymond; Sarró, Salvador; Satterthwaite, Theodore D.; Saykin, Andrew J.; Serpa, Mauricio H.; Sim, Kang; Simmons, Andrew; Smoller, Jordan W.; Sommer, Iris E.; Soriano‐Mas, Carles; Stein, Dan J.; Strike, Lachlan T.; Szeszko, Philip R.; Temmingh, Henk S.; Thomopoulos, Sophia I.; Tomyshev, Alexander S.; Trollor, Julian N.; Uhlmann, Anne; Veer, Ilya M.; Veltman, Dick J.; Voineskos, Aristotle; Völzke, Henry; Walter, Henrik; Wang, Lei; Wang, Yang; Weber, Bernd; Wen, Wei; West, John D.; Westlye, Lars T.; Whalley, Heather C.; Williams, Steven C. R.; Wittfeld, Katharina; Wolf, Daniel H.; Wright, Margaret J.; Yoncheva, Yuliya N.; Zanetti, Marcus V.; Ziegler, Georg C.; Zubicaray, Greig I.; Thompson, Paul M.; Crone, Eveline A.; Frangou, Sophia; Tamnes, Christian K.; Psychiatry, School of Medicine
    For many traits, males show greater variability than females, with possible implications for understanding sex differences in health and disease. Here, the ENIGMA (Enhancing Neuro Imaging Genetics through Meta-Analysis) Consortium presents the largest-ever mega-analysis of sex differences in variability of brain structure, based on international data spanning nine decades of life. Subcortical volumes, cortical surface area and cortical thickness were assessed in MRI data of 16,683 healthy individuals 1-90 years old (47% females). We observed significant patterns of greater male than female between-subject variance for all subcortical volumetric measures, all cortical surface area measures, and 60% of cortical thickness measures. This pattern was stable across the lifespan for 50% of the subcortical structures, 70% of the regional area measures, and nearly all regions for thickness. Our findings that these sex differences are present in childhood implicate early life genetic or gene-environment interaction mechanisms. The findings highlight the importance of individual differences within the sexes, that may underpin sex-specific vulnerability to disorders.
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    Normative Modeling of Brain Morphometry Across the Lifespan Using CentileBrain: Algorithm Benchmarking and Model Optimization
    (bioRxiv, 2023-12-02) Ge, Ruiyang; Yu, Yuetong; Qi, Yi Xuan; Fan, Yunan Vera; Chen, Shiyu; Gao, Chuntong; Haas, Shalaila S.; Modabbernia, Amirhossein; New, Faye; Agartz, Ingrid; Asherson, Philip; Ayesa-Arriola, Rosa; Banaj, Nerisa; Banaschewski, Tobias; Baumeister, Sarah; Bertolino, Alessandro; Boomsma, Dorret I.; Borgwardt, Stefan; Bourque, Josiane; Brandeis, Daniel; Breier, Alan; Brodaty, Henry; Brouwer, Rachel M.; Buckner, Randy; Buitelaar, Jan K.; Cannon, Dara M.; Caseras, Xavier; Cervenka, Simon; Conrod, Patricia J.; Crespo-Facorro, Benedicto; Crivello, Fabrice; Crone, Eveline A.; de Haan, Liewe; de Zubicaray, Greig I.; Di Giorgio, Annabella; Erk, Susanne; Fisher, Simon E.; Franke, Barbara; Frodl, Thomas; Glahn, David C.; Grotegerd, Dominik; Gruber, Oliver; Gruner, Patricia; Gur, Raquel E.; Gur, Ruben C.; Harrison, Ben J.; Hatton, Sean N.; Hickie, Ian; Howells, Fleur M.; Hulshoff Pol, Hilleke E.; Huyser, Chaim; Jernigan, Terry L.; Jiang, Jiyang; Joska, John A.; Kahn, René S.; Kalnin, Andrew J.; Kochan, Nicole A.; Koops, Sanne; Kuntsi, Jonna; Lagopoulos, Jim; Lazaro, Luisa; Lebedeva, Irina S.; Lochner, Christine; Martin, Nicholas G.; Mazoyer, Bernard; McDonald, Brenna C.; McDonald, Colm; McMahon, Katie L.; Nakao, Tomohiro; Nyberg, Lars; Piras, Fabrizio; Portella, Maria J.; Qiu, Jiang; Roffman, Joshua L.; Sachdev, Perminder S.; Sanford, Nicole; Satterthwaite, Theodore D.; Saykin, Andrew J.; Schumann, Gunter; Sellgren, Carl M.; Sim, Kang; Smoller, Jordan W.; Soares, Jair; Sommer, Iris E.; Spalletta, Gianfranco; Stein, Dan J.; Tamnes, Christian K.; Thomopolous, Sophia I.; Tomyshev, Alexander S.; Tordesillas-Gutiérrez, Diana; Trollor, Julian N.; van 't Ent, Dennis; van den Heuvel, Odile A.; van Erp, Theo Gm.; van Haren, Neeltje Em.; Vecchio, Daniela; Veltman, Dick J.; Walter, Henrik; Wang, Yang; Weber, Bernd; Wei, Dongtao; Wen, Wei; Westlye, Lars T.; Wierenga, Lara M.; Williams, Steven Cr.; Wright, Margaret J.; Medland, Sarah; Wu, Mon-Ju; Yu, Kevin; Jahanshad, Neda; Thompson, Paul M.; Frangou, Sophia; Psychiatry, School of Medicine
    We present an empirically benchmarked framework for sex-specific normative modeling of brain morphometry that can inform about the biological and behavioral significance of deviations from typical age-related neuroanatomical changes and support future study designs. This framework was developed using regional morphometric data from 37,407 healthy individuals (53% female; aged 3-90 years) following a comparative evaluation of eight algorithms and multiple covariate combinations pertaining to image acquisition and quality, parcellation software versions, global neuroimaging measures, and longitudinal stability. The Multivariate Factorial Polynomial Regression (MFPR) emerged as the preferred algorithm optimized using nonlinear polynomials for age and linear effects of global measures as covariates. The MFPR models showed excellent accuracy across the lifespan and within distinct age-bins, and longitudinal stability over a 2-year period. The performance of all MFPR models plateaued at sample sizes exceeding 3,000 study participants. The model and scripts described here are freely available through CentileBrain (https://centilebrain.org/).