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1. Neurostructural subgroup in 4291 individuals with schizophrenia identified using the subtype and stage inference algorithm.

Author

Jiang, Yuchao, Luo, Cheng, Wang, Jijun, Palaniyappan, Lena, Chang, Xiao, Xiang, Shitong, Zhang, Jie, Duan, Mingjun, Huang, Huan, Gaser, Christian, Nemoto, Kiyotaka, Miura, Kenichiro, Hashimoto, Ryota, Westlye, Lars, Richard, Genevieve, Fernandez-Cabello, Sara, Parker, Nadine, Andreassen, Ole, Kircher, Tilo, Nenadić, Igor, Stein, Frederike, Thomas-Odenthal, Florian, Teutenberg, Lea, Usemann, Paula, Dannlowski, Udo, Hahn, Tim, Grotegerd, Dominik, Meinert, Susanne, Lencer, Rebekka, Tang, Yingying, Zhang, Tianhong, Li, Chunbo, Yue, Weihua, Zhang, Yuyanan, Yu, Xin, Zhou, Enpeng, Lin, Ching-Po, Tsai, Shih-Jen, Rodrigue, Amanda, Glahn, David, Pearlson, Godfrey, Blangero, John, Karuk, Andriana, Pomarol-Clotet, Edith, Salvador, Raymond, Fuentes-Claramonte, Paola, Garcia-León, María, Spalletta, Gianfranco, Piras, Fabrizio, Vecchio, Daniela, Banaj, Nerisa, Cheng, Jingliang, Liu, Zhening, Yang, Jie, Gonul, Ali, Uslu, Ozgul, Burhanoglu, Birce, Uyar Demir, Aslihan, Rootes-Murdy, Kelly, Calhoun, Vince, Sim, Kang, Green, Melissa, Quidé, Yann, Chung, Young, Kim, Woo-Sung, Sponheim, Scott, Demro, Caroline, Ramsay, Ian, Iasevoli, Felice, de Bartolomeis, Andrea, Barone, Annarita, Ciccarelli, Mariateresa, Brunetti, Arturo, Cocozza, Sirio, Pontillo, Giuseppe, Tranfa, Mario, Park, Min, Kirschner, Matthias, Georgiadis, Foivos, Kaiser, Stefan, Van Rheenen, Tamsyn, Rossell, Susan, Hughes, Matthew, Woods, William, Carruthers, Sean, Sumner, Philip, Ringin, Elysha, Spaniel, Filip, Skoch, Antonin, Tomecek, David, Homan, Philipp, Homan, Stephanie, Omlor, Wolfgang, Cecere, Giacomo, Nguyen, Dana, Preda, Adrian, Thomopoulos, Sophia, Jahanshad, Neda, Cui, Long-Biao, and Yao, Dezhong

Subjects
Humans, Schizophrenia, Male, Female, Adult, Algorithms, Magnetic Resonance Imaging, Gray Matter, Machine Learning, Middle Aged, Brain, Cross-Sectional Studies, Europe, Neuroimaging, Reproducibility of Results, North America, Hippocampus
Abstract

Machine learning can be used to define subtypes of psychiatric conditions based on shared biological foundations of mental disorders. Here we analyzed cross-sectional brain images from 4,222 individuals with schizophrenia and 7038 healthy subjects pooled across 41 international cohorts from the ENIGMA, non-ENIGMA cohorts and public datasets. Using the Subtype and Stage Inference (SuStaIn) algorithm, we identify two distinct neurostructural subgroups by mapping the spatial and temporal trajectory of gray matter change in schizophrenia. Subgroup 1 was characterized by an early cortical-predominant loss with enlarged striatum, whereas subgroup 2 displayed an early subcortical-predominant loss in the hippocampus, striatum and other subcortical regions. We confirmed the reproducibility of the two neurostructural subtypes across various sample sites, including Europe, North America and East Asia. This imaging-based taxonomy holds the potential to identify individuals with shared neurobiological attributes, thereby suggesting the viability of redefining existing disorder constructs based on biological factors.

Published
2024

2. 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

3. White matter diffusion estimates in obsessive-compulsive disorder across 1653 individuals: machine learning findings from the ENIGMA OCD Working Group

Author

Kim, Bo-Gyeom, Kim, Gakyung, Abe, Yoshinari, Alonso, Pino, Ameis, Stephanie, Anticevic, Alan, Arnold, Paul D., Balachander, Srinivas, Banaj, Nerisa, Bargalló, Nuria, Batistuzzo, Marcelo C., Benedetti, Francesco, Bertolín, Sara, Beucke, Jan Carl, Bollettini, Irene, Brem, Silvia, Brennan, Brian P., Buitelaar, Jan K., Calvo, Rosa, Castelo-Branco, Miguel, Cheng, Yuqi, Chhatkuli, Ritu Bhusal, Ciullo, Valentina, Coelho, Ana, Couto, Beatriz, Dallaspezia, Sara, Ely, Benjamin A., Ferreira, Sónia, Fontaine, Martine, Fouche, Jean-Paul, Grazioplene, Rachael, Gruner, Patricia, Hagen, Kristen, Hansen, Bjarne, Hanna, Gregory L., Hirano, Yoshiyuki, Höxter, Marcelo Q., Hough, Morgan, Hu, Hao, Huyser, Chaim, Ikuta, Toshikazu, Jahanshad, Neda, James, Anthony, Jaspers-Fayer, Fern, Kasprzak, Selina, Kathmann, Norbert, Kaufmann, Christian, Kim, Minah, Koch, Kathrin, Kvale, Gerd, Kwon, Jun Soo, Lazaro, Luisa, Lee, Junhee, Lochner, Christine, Lu, Jin, Manrique, Daniela Rodriguez, Martínez-Zalacaín, Ignacio, Masuda, Yoshitada, Matsumoto, Koji, Maziero, Maria Paula, Menchón, Jose M., Minuzzi, Luciano, Moreira, Pedro Silva, Morgado, Pedro, Narayanaswamy, Janardhanan C., Narumoto, Jin, Ortiz, Ana E., Ota, Junko, Pariente, Jose C., Perriello, Chris, Picó-Pérez, Maria, Pittenger, Christopher, Poletti, Sara, Real, Eva, Reddy, Y. C. Janardhan, van Rooij, Daan, Sakai, Yuki, Sato, João Ricardo, Segalas, Cinto, Shavitt, Roseli G., Shen, Zonglin, Shimizu, Eiji, Shivakumar, Venkataram, Soreni, Noam, Soriano-Mas, Carles, Sousa, Nuno, Sousa, Mafalda Machado, Spalletta, Gianfranco, Stern, Emily R., Stewart, S. Evelyn, Szeszko, Philip R., Thomas, Rajat, Thomopoulos, Sophia I., Vecchio, Daniela, Venkatasubramanian, Ganesan, Vriend, Chris, Walitza, Susanne, Wang, Zhen, Watanabe, Anri, Wolters, Lidewij, Xu, Jian, Yamada, Kei, Yun, Je-Yeon, Zarei, Mojtaba, Zhao, Qing, Zhu, Xi, Thompson, Paul M., Bruin, Willem B., van Wingen, Guido A., Piras, Federica, Piras, Fabrizio, Stein, Dan J., van den Heuvel, Odile A., Simpson, Helen Blair, Marsh, Rachel, and Cha, Jiook

Published
2024
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4. Cortical morphology in patients with the deficit and non-deficit syndrome of schizophrenia: a worldwide meta- and mega-analyses.

Author

Banaj, Nerisa, Vecchio, Daniela, Piras, Fabrizio, De Rossi, Pietro, Bustillo, Juan, Ciufolini, Simone, Dazzan, Paola, Di Forti, Marta, Dickie, Erin, Ford, Judith, Fuentes-Claramonte, Paola, Gruber, Oliver, Guerrero-Pedraza, Amalia, Hamilton, Holly, Howells, Fleur, Kraemer, Bernd, Lawrie, Stephen, Radua, Joaquim, Richter, Anja, Salvador, Raymond, Sawa, Akira, Scheffler, Freda, Sim, Kang, Spaniel, Filip, Stein, Dan, Temmingh, Henk, Thomopoulos, Sophia, Tomecek, David, Uhlmann, Anne, Voineskos, Aristotle, Yang, Kun, Jahanshad, Neda, Thompson, Paul, Murray, Robin, Pomarol-Clotet, Edith, Turner, Jessica, Spalletta, Gianfranco, Piras, Federica, Mathalon, Daniel, Potkin, Steven, Van Erp, Theodorus, and Preda, Adrian

Subjects
Humans, Schizophrenia, Magnetic Resonance Imaging, Neuroimaging, Parietal Lobe, Syndrome, Cerebral Cortex
Abstract

Converging evidence suggests that schizophrenia (SZ) with primary, enduring negative symptoms (i.e., Deficit SZ (DSZ)) represents a distinct entity within the SZ spectrum while the neurobiological underpinnings remain undetermined. In the largest dataset of DSZ and Non-Deficit (NDSZ), we conducted a meta-analysis of data from 1560 individuals (168 DSZ, 373 NDSZ, 1019 Healthy Controls (HC)) and a mega-analysis of a subsampled data from 944 individuals (115 DSZ, 254 NDSZ, 575 HC) collected across 9 worldwide research centers of the ENIGMA SZ Working Group (8 in the mega-analysis), to clarify whether they differ in terms of cortical morphology. In the meta-analysis, sites computed effect sizes for differences in cortical thickness and surface area between SZ and control groups using a harmonized pipeline. In the mega-analysis, cortical values of individuals with schizophrenia and control participants were analyzed across sites using mixed-model ANCOVAs. The meta-analysis of cortical thickness showed a converging pattern of widespread thinner cortex in fronto-parietal regions of the left hemisphere in both DSZ and NDSZ, when compared to HC. However, DSZ have more pronounced thickness abnormalities than NDSZ, mostly involving the right fronto-parietal cortices. As for surface area, NDSZ showed differences in fronto-parietal-temporo-occipital cortices as compared to HC, and in temporo-occipital cortices as compared to DSZ. Although DSZ and NDSZ show widespread overlapping regions of thinner cortex as compared to HC, cortical thinning seems to better typify DSZ, being more extensive and bilateral, while surface area alterations are more evident in NDSZ. Our findings demonstrate for the first time that DSZ and NDSZ are characterized by different neuroimaging phenotypes, supporting a nosological distinction between DSZ and NDSZ and point toward the separate disease hypothesis.

Published
2023

5. A worldwide study of white matter microstructural alterations in people living with Parkinson’s disease

Author

Owens-Walton, Conor, Nir, Talia M., Al-Bachari, Sarah, Ambrogi, Sonia, Anderson, Tim J., Aventurato, Ítalo Karmann, Cendes, Fernando, Chen, Yao-Liang, Ciullo, Valentina, Cook, Phil, Dalrymple-Alford, John C., Dirkx, Michiel F., Druzgal, Jason, Emsley, Hedley C. A., Guimarães, Rachel, Haroon, Hamied A., Helmich, Rick C., Hu, Michele T., Johansson, Martin E., Kim, Ho Bin, Klein, Johannes C., Laansma, Max, Lawrence, Katherine E., Lochner, Christine, Mackay, Clare, McMillan, Corey T., Melzer, Tracy R., Nabulsi, Leila, Newman, Ben, Opriessnig, Peter, Parkes, Laura M., Pellicano, Clelia, Piras, Fabrizio, Piras, Federica, Pirpamer, Lukas, Pitcher, Toni L., Poston, Kathleen L., Roos, Annerine, Silva, Lucas Scárdua, Schmidt, Reinhold, Schwingenschuh, Petra, Shahid-Besanti, Marian, Spalletta, Gianfranco, Stein, Dan J., Thomopoulos, Sophia I., Tosun, Duygu, Tsai, Chih-Chien, van den Heuvel, Odile A., van Heese, Eva, Vecchio, Daniela, Villalón-Reina, Julio E., Vriend, Chris, Wang, Jiun-Jie, Wu, Yih-Ru, Yasuda, Clarissa Lin, Thompson, Paul M., Jahanshad, Neda, and van der Werf, Ysbrand

Published
2024
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6. Mapping gray and white matter volume abnormalities in early-onset psychosis: an ENIGMA multicenter voxel-based morphometry study

Author

Si, Shuqing, Bi, Anbreen, Yu, Zhaoying, See, Cheryl, Kelly, Sinead, Ambrogi, Sonia, Arango, Celso, Baeza, Inmaculada, Banaj, Nerisa, Berk, Michael, Castro-Fornieles, Josefina, Crespo-Facorro, Benedicto, Crouse, Jacob J., Díaz-Caneja, Covadonga M., Fett, Anne-Kathrin, Fortea, Adriana, Frangou, Sophia, Goldstein, Benjamin I., Hickie, Ian B., Janssen, Joost, Kennedy, Kody G., Krabbendam, Lydia, Kyriakopoulos, Marinos, MacIntosh, Bradley J., Morgado, Pedro, Nerland, Stener, Pascual-Diaz, Saül, Picó-Pérez, Maria, Piras, Fabrizio, Rund, Bjørn Rishovd, de la Serna, Elena, Spalletta, Gianfranco, Sugranyes, Gisela, Suo, Chao, Tordesillas-Gutiérrez, Diana, Vecchio, Daniela, Radua, Joaquim, McGuire, Philip, Thomopoulos, Sophia I., Jahanshad, Neda, Thompson, Paul M., Barth, Claudia, Agartz, Ingrid, James, Anthony, and Kempton, Matthew J.

Published
2024
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7. Large-scale analysis of structural brain asymmetries in schizophrenia via the ENIGMA consortium.

Author

Schijven, Dick, Postema, Merel C, Fukunaga, Masaki, Matsumoto, Junya, Miura, Kenichiro, de Zwarte, Sonja MC, van Haren, Neeltje EM, Cahn, Wiepke, Hulshoff Pol, Hilleke E, Kahn, René S, Ayesa-Arriola, Rosa, Ortiz-García de la Foz, Víctor, Tordesillas-Gutierrez, Diana, Vázquez-Bourgon, Javier, Crespo-Facorro, Benedicto, Alnæs, Dag, Dahl, Andreas, Westlye, Lars T, Agartz, Ingrid, Andreassen, Ole A, Jönsson, Erik G, Kochunov, Peter, Bruggemann, Jason M, Catts, Stanley V, Michie, Patricia T, Mowry, Bryan J, Quidé, Yann, Rasser, Paul E, Schall, Ulrich, Scott, Rodney J, Carr, Vaughan J, Green, Melissa J, Henskens, Frans A, Loughland, Carmel M, Pantelis, Christos, Weickert, Cynthia Shannon, Weickert, Thomas W, de Haan, Lieuwe, Brosch, Katharina, Pfarr, Julia-Katharina, Ringwald, Kai G, Stein, Frederike, Jansen, Andreas, Kircher, Tilo TJ, Nenadić, Igor, Krämer, Bernd, Gruber, Oliver, Satterthwaite, Theodore D, Bustillo, Juan, Mathalon, Daniel H, Preda, Adrian, Calhoun, Vince D, Ford, Judith M, Potkin, Steven G, Chen, Jingxu, Tan, Yunlong, Wang, Zhiren, Xiang, Hong, Fan, Fengmei, Bernardoni, Fabio, Ehrlich, Stefan, Fuentes-Claramonte, Paola, Garcia-Leon, Maria Angeles, Guerrero-Pedraza, Amalia, Salvador, Raymond, Sarró, Salvador, Pomarol-Clotet, Edith, Ciullo, Valentina, Piras, Fabrizio, Vecchio, Daniela, Banaj, Nerisa, Spalletta, Gianfranco, Michielse, Stijn, van Amelsvoort, Therese, Dickie, Erin W, Voineskos, Aristotle N, Sim, Kang, Ciufolini, Simone, Dazzan, Paola, Murray, Robin M, Kim, Woo-Sung, Chung, Young-Chul, Andreou, Christina, Schmidt, André, Borgwardt, Stefan, McIntosh, Andrew M, Whalley, Heather C, Lawrie, Stephen M, du Plessis, Stefan, Luckhoff, Hilmar K, Scheffler, Freda, Emsley, Robin, Grotegerd, Dominik, Lencer, Rebekka, Dannlowski, Udo, Edmond, Jesse T, Rootes-Murdy, Kelly, Stephen, Julia M, Mayer, Andrew R, and Antonucci, Linda A

Subjects
Brain, Cerebral Cortex, Humans, Magnetic Resonance Imaging, Case-Control Studies, Schizophrenia, Female, Male, Functional Laterality, asymmetry, brain imaging, cortical, subcortical, Clinical Research, Mental Health, Neurosciences, Brain Disorders, Mental health
Abstract

Left-right asymmetry is an important organizing feature of the healthy brain that may be altered in schizophrenia, but most studies have used relatively small samples and heterogeneous approaches, resulting in equivocal findings. We carried out the largest case-control study of structural brain asymmetries in schizophrenia, with MRI data from 5,080 affected individuals and 6,015 controls across 46 datasets, using a single image analysis protocol. Asymmetry indexes were calculated for global and regional cortical thickness, surface area, and subcortical volume measures. Differences of asymmetry were calculated between affected individuals and controls per dataset, and effect sizes were meta-analyzed across datasets. Small average case-control differences were observed for thickness asymmetries of the rostral anterior cingulate and the middle temporal gyrus, both driven by thinner left-hemispheric cortices in schizophrenia. Analyses of these asymmetries with respect to the use of antipsychotic medication and other clinical variables did not show any significant associations. Assessment of age- and sex-specific effects revealed a stronger average leftward asymmetry of pallidum volume between older cases and controls. Case-control differences in a multivariate context were assessed in a subset of the data (N = 2,029), which revealed that 7% of the variance across all structural asymmetries was explained by case-control status. Subtle case-control differences of brain macrostructural asymmetry may reflect differences at the molecular, cytoarchitectonic, or circuit levels that have functional relevance for the disorder. Reduced left middle temporal cortical thickness is consistent with altered left-hemisphere language network organization in schizophrenia.

Published
2023

8. In vivo white matter microstructure in adolescents with early-onset psychosis: a multi-site mega-analysis

Author

Barth, Claudia, Kelly, Sinead, Nerland, Stener, Jahanshad, Neda, Alloza, Clara, Ambrogi, Sonia, Andreassen, Ole A, Andreou, Dimitrios, Arango, Celso, Baeza, Inmaculada, Banaj, Nerisa, Bearden, Carrie E, Berk, Michael, Bohman, Hannes, Castro-Fornieles, Josefina, Chye, Yann, Crespo-Facorro, Benedicto, de la Serna, Elena, Díaz-Caneja, Covadonga M, Gurholt, Tiril P, Hegarty, Catherine E, James, Anthony, Janssen, Joost, Johannessen, Cecilie, Jönsson, Erik G, Karlsgodt, Katherine H, Kochunov, Peter, Lois, Noemi G, Lundberg, Mathias, Myhre, Anne M, Pascual-Diaz, Saül, Piras, Fabrizio, Smelror, Runar E, Spalletta, Gianfranco, Stokkan, Therese S, Sugranyes, Gisela, Suo, Chao, Thomopoulos, Sophia I, Tordesillas-Gutiérrez, Diana, Vecchio, Daniela, Wedervang-Resell, Kirsten, Wortinger, Laura A, Thompson, Paul M, and Agartz, Ingrid

Subjects
Brain Disorders, Serious Mental Illness, Pediatric, Biomedical Imaging, Clinical Research, Neurosciences, Mental Health, Schizophrenia, Mental health, Good Health and Well Being, Female, Humans, Male, Adolescent, White Matter, Diffusion Tensor Imaging, Brain, Psychotic Disorders, Anisotropy, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract

Emerging evidence suggests brain white matter alterations in adolescents with early-onset psychosis (EOP; age of onset

Published
2023

9. Brain ageing in schizophrenia: evidence from 26 international cohorts via the ENIGMA Schizophrenia consortium.

Author

Constantinides, Constantinos, Han, Laura KM, Alloza, Clara, Antonucci, Linda Antonella, Arango, Celso, Ayesa-Arriola, Rosa, Banaj, Nerisa, Bertolino, Alessandro, Borgwardt, Stefan, Bruggemann, Jason, Bustillo, Juan, Bykhovski, Oleg, Calhoun, Vince, Carr, Vaughan, Catts, Stanley, Chung, Young-Chul, Crespo-Facorro, Benedicto, Díaz-Caneja, Covadonga M, Donohoe, Gary, Plessis, Stefan Du, Edmond, Jesse, Ehrlich, Stefan, Emsley, Robin, Eyler, Lisa T, Fuentes-Claramonte, Paola, Georgiadis, Foivos, Green, Melissa, Guerrero-Pedraza, Amalia, Ha, Minji, Hahn, Tim, Henskens, Frans A, Holleran, Laurena, Homan, Stephanie, Homan, Philipp, Jahanshad, Neda, Janssen, Joost, Ji, Ellen, Kaiser, Stefan, Kaleda, Vasily, Kim, Minah, Kim, Woo-Sung, Kirschner, Matthias, Kochunov, Peter, Kwak, Yoo Bin, Kwon, Jun Soo, Lebedeva, Irina, Liu, Jingyu, Mitchie, Patricia, Michielse, Stijn, Mothersill, David, Mowry, Bryan, de la Foz, Víctor Ortiz-García, Pantelis, Christos, Pergola, Giulio, Piras, Fabrizio, Pomarol-Clotet, Edith, Preda, Adrian, Quidé, Yann, Rasser, Paul E, Rootes-Murdy, Kelly, Salvador, Raymond, Sangiuliano, Marina, Sarró, Salvador, Schall, Ulrich, Schmidt, André, Scott, Rodney J, Selvaggi, Pierluigi, Sim, Kang, Skoch, Antonin, Spalletta, Gianfranco, Spaniel, Filip, Thomopoulos, Sophia I, Tomecek, David, Tomyshev, Alexander S, Tordesillas-Gutiérrez, Diana, van Amelsvoort, Therese, Vázquez-Bourgon, Javier, Vecchio, Daniela, Voineskos, Aristotle, Weickert, Cynthia S, Weickert, Thomas, Thompson, Paul M, Schmaal, Lianne, van Erp, Theo GM, Turner, Jessica, Cole, James H, ENIGMA Schizophrenia Consortium, Dima, Danai, and Walton, Esther

Subjects
ENIGMA Schizophrenia Consortium, Brain, Humans, Magnetic Resonance Imaging, Prospective Studies, Schizophrenia, Aging, Adolescent, Adult, Aged, Middle Aged, Female, Male, Young Adult, Mental Health, Serious Mental Illness, Brain Disorders, Neurosciences, Biomedical Imaging, Clinical Research, Behavioral and Social Science, Neurological, Mental health, Good Health and Well Being, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract

Schizophrenia (SZ) is associated with an increased risk of life-long cognitive impairments, age-related chronic disease, and premature mortality. We investigated evidence for advanced brain ageing in adult SZ patients, and whether this was associated with clinical characteristics in a prospective meta-analytic study conducted by the ENIGMA Schizophrenia Working Group. The study included data from 26 cohorts worldwide, with a total of 2803 SZ patients (mean age 34.2 years; range 18-72 years; 67% male) and 2598 healthy controls (mean age 33.8 years, range 18-73 years, 55% male). Brain-predicted age was individually estimated using a model trained on independent data based on 68 measures of cortical thickness and surface area, 7 subcortical volumes, lateral ventricular volumes and total intracranial volume, all derived from T1-weighted brain magnetic resonance imaging (MRI) scans. Deviations from a healthy brain ageing trajectory were assessed by the difference between brain-predicted age and chronological age (brain-predicted age difference [brain-PAD]). On average, SZ patients showed a higher brain-PAD of +3.55 years (95% CI: 2.91, 4.19; I2 = 57.53%) compared to controls, after adjusting for age, sex and site (Cohen's d = 0.48). Among SZ patients, brain-PAD was not associated with specific clinical characteristics (age of onset, duration of illness, symptom severity, or antipsychotic use and dose). This large-scale collaborative study suggests advanced structural brain ageing in SZ. Longitudinal studies of SZ and a range of mental and somatic health outcomes will help to further evaluate the clinical implications of increased brain-PAD and its ability to be influenced by interventions.

Published
2023

10. Correction: White matter diffusion estimates in obsessive-compulsive disorder across 1653 individuals: machine learning findings from the ENIGMA OCD Working Group

Author

Kim, Bo-Gyeom, Kim, Gakyung, Abe, Yoshinari, Alonso, Pino, Ameis, Stephanie, Anticevic, Alan, Arnold, Paul D., Balachander, Srinivas, Banaj, Nerisa, Bargalló, Nuria, Batistuzzo, Marcelo C., Benedetti, Francesco, Bertolín, Sara, Beucke, Jan Carl, Bollettini, Irene, Brem, Silvia, Brennan, Brian P., Buitelaar, Jan K., Calvo, Rosa, Castelo-Branco, Miguel, Cheng, Yuqi, Chhatkuli, Ritu Bhusal, Ciullo, Valentina, Coelho, Ana, Couto, Beatriz, Dallaspezia, Sara, Ely, Benjamin A., Ferreira, Sónia, Fontaine, Martine, Fouche, Jean-Paul, Grazioplene, Rachael, Gruner, Patricia, Hagen, Kristen, Hansen, Bjarne, Hanna, Gregory L., Hirano, Yoshiyuki, Höxter, Marcelo Q., Hough, Morgan, Hu, Hao, Huyser, Chaim, Ikuta, Toshikazu, Jahanshad, Neda, James, Anthony, Jaspers-Fayer, Fern, Kasprzak, Selina, Kathmann, Norbert, Kaufmann, Christian, Kim, Minah, Koch, Kathrin, Kvale, Gerd, Kwon, Jun Soo, Lazaro, Luisa, Lee, Junhee, Lochner, Christine, Lu, Jin, Manrique, Daniela Rodriguez, Martínez-Zalacaín, Ignacio, Masuda, Yoshitada, Matsumoto, Koji, Maziero, Maria Paula, Menchón, Jose M., Minuzzi, Luciano, Moreira, Pedro Silva, Morgado, Pedro, Narayanaswamy, Janardhanan C., Narumoto, Jin, Ortiz, Ana E., Ota, Junko, Pariente, Jose C., Perriello, Chris, Picó-Pérez, Maria, Pittenger, Christopher, Poletti, Sara, Real, Eva, Reddy, Y. C. Janardhan, van Rooij, Daan, Sakai, Yuki, Sato, João Ricardo, Segalas, Cinto, Shavitt, Roseli G., Shen, Zonglin, Shimizu, Eiji, Shivakumar, Venkataram, Soreni, Noam, Soriano-Mas, Carles, Sousa, Nuno, Sousa, Mafalda Machado, Spalletta, Gianfranco, Stern, Emily R., Stewart, S. Evelyn, Szeszko, Philip R., Thomas, Rajat, Thomopoulos, Sophia I., Vecchio, Daniela, Venkatasubramanian, Ganesan, Vriend, Chris, Walitza, Susanne, Wang, Zhen, Watanabe, Anri, Wolters, Lidewij, Xu, Jian, Yamada, Kei, Yun, Je-Yeon, Zarei, Mojtaba, Zhao, Qing, Zhu, Xi, Thompson, Paul M., Bruin, Willem B., van Wingen, Guido A., Piras, Federica, Piras, Fabrizio, Stein, Dan J., van den Heuvel, Odile A., Simpson, Helen Blair, Marsh, Rachel, and Cha, Jiook

Published
2024
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11. Chronic Stroke Sensorimotor Impairment Is Related to Smaller Hippocampal Volumes: An ENIGMA Analysis

Author

Zavaliangos‐Petropulu, Artemis, Lo, Bethany, Donnelly, Miranda R, Schweighofer, Nicolas, Lohse, Keith, Jahanshad, Neda, Barisano, Giuseppe, Banaj, Nerisa, Borich, Michael R, Boyd, Lara A, Buetefisch, Cathrin M, Byblow, Winston D, Cassidy, Jessica M, Charalambous, Charalambos C, Conforto, Adriana B, DiCarlo, Julie A, Dula, Adrienne N, Egorova‐Brumley, Natalia, Etherton, Mark R, Feng, Wuwei, Fercho, Kelene A, Geranmayeh, Fatemeh, Hanlon, Colleen A, Hayward, Kathryn S, Hordacre, Brenton, Kautz, Steven A, Khlif, Mohamed Salah, Kim, Hosung, Kuceyeski, Amy, Lin, David J, Liu, Jingchun, Lotze, Martin, MacIntosh, Bradley J, Margetis, John L, Mohamed, Feroze B, Piras, Fabrizio, Ramos‐Murguialday, Ander, Revill, Kate P, Roberts, Pamela S, Robertson, Andrew D, Schambra, Heidi M, Seo, Na Jin, Shiroishi, Mark S, Stinear, Cathy M, Soekadar, Surjo R, Spalletta, Gianfranco, Taga, Myriam, Tang, Wai Kwong, Thielman, Gregory T, Vecchio, Daniela, Ward, Nick S, Westlye, Lars T, Werden, Emilio, Winstein, Carolee, Wittenberg, George F, Wolf, Steven L, Wong, Kristin A, Yu, Chunshui, Brodtmann, Amy, Cramer, Steven C, Thompson, Paul M, and Liew, Sook‐Lei

Subjects
Neurosciences, Stroke, Aging, Brain Disorders, Cross-Sectional Studies, Female, Hippocampus, Humans, Male, Quality of Life, Recovery of Function, Stroke Rehabilitation, Upper Extremity, hippocampus, MRI, sensorimotor impairment, stroke, Cardiorespiratory Medicine and Haematology
Abstract

Background Persistent sensorimotor impairments after stroke can negatively impact quality of life. The hippocampus is vulnerable to poststroke secondary degeneration and is involved in sensorimotor behavior but has not been widely studied within the context of poststroke upper-limb sensorimotor impairment. We investigated associations between non-lesioned hippocampal volume and upper limb sensorimotor impairment in people with chronic stroke, hypothesizing that smaller ipsilesional hippocampal volumes would be associated with greater sensorimotor impairment. Methods and Results Cross-sectional T1-weighted magnetic resonance images of the brain were pooled from 357 participants with chronic stroke from 18 research cohorts of the ENIGMA (Enhancing NeuoImaging Genetics through Meta-Analysis) Stroke Recovery Working Group. Sensorimotor impairment was estimated from the FMA-UE (Fugl-Meyer Assessment of Upper Extremity). Robust mixed-effects linear models were used to test associations between poststroke sensorimotor impairment and hippocampal volumes (ipsilesional and contralesional separately; Bonferroni-corrected, P

Published
2022

12. The ENIGMA Stroke Recovery Working Group: Big data neuroimaging to study brain–behavior relationships after stroke

Author

Liew, Sook‐Lei, Zavaliangos‐Petropulu, Artemis, Jahanshad, Neda, Lang, Catherine E, Hayward, Kathryn S, Lohse, Keith R, Juliano, Julia M, Assogna, Francesca, Baugh, Lee A, Bhattacharya, Anup K, Bigjahan, Bavrina, Borich, Michael R, Boyd, Lara A, Brodtmann, Amy, Buetefisch, Cathrin M, Byblow, Winston D, Cassidy, Jessica M, Conforto, Adriana B, Craddock, R Cameron, Dimyan, Michael A, Dula, Adrienne N, Ermer, Elsa, Etherton, Mark R, Fercho, Kelene A, Gregory, Chris M, Hadidchi, Shahram, Holguin, Jess A, Hwang, Darryl H, Jung, Simon, Kautz, Steven A, Khlif, Mohamed Salah, Khoshab, Nima, Kim, Bokkyu, Kim, Hosung, Kuceyeski, Amy, Lotze, Martin, MacIntosh, Bradley J, Margetis, John L, Mohamed, Feroze B, Piras, Fabrizio, Ramos‐Murguialday, Ander, Richard, Geneviève, Roberts, Pamela, Robertson, Andrew D, Rondina, Jane M, Rost, Natalia S, Sanossian, Nerses, Schweighofer, Nicolas, Seo, Na Jin, Shiroishi, Mark S, Soekadar, Surjo R, Spalletta, Gianfranco, Stinear, Cathy M, Suri, Anisha, Tang, Wai Kwong W, Thielman, Gregory T, Vecchio, Daniela, Villringer, Arno, Ward, Nick S, Werden, Emilio, Westlye, Lars T, Winstein, Carolee, Wittenberg, George F, Wong, Kristin A, Yu, Chunshui, Cramer, Steven C, and Thompson, Paul M

Subjects
Stroke, Brain Disorders, Biomedical Imaging, Neurosciences, Behavioral and Social Science, Humans, Magnetic Resonance Imaging, Multicenter Studies as Topic, Neuroimaging, Stroke Rehabilitation, big data, lesions, MRI, neuroinformatics, stroke, Cognitive Sciences, Experimental Psychology
Abstract

The goal of the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) Stroke Recovery working group is to understand brain and behavior relationships using well-powered meta- and mega-analytic approaches. ENIGMA Stroke Recovery has data from over 2,100 stroke patients collected across 39 research studies and 10 countries around the world, comprising the largest multisite retrospective stroke data collaboration to date. This article outlines the efforts taken by the ENIGMA Stroke Recovery working group to develop neuroinformatics protocols and methods to manage multisite stroke brain magnetic resonance imaging, behavioral and demographics data. Specifically, the processes for scalable data intake and preprocessing, multisite data harmonization, and large-scale stroke lesion analysis are described, and challenges unique to this type of big data collaboration in stroke research are discussed. Finally, future directions and limitations, as well as recommendations for improved data harmonization through prospective data collection and data management, are provided.

Published
2022

13. Smaller spared subcortical nuclei are associated with worse post-stroke sensorimotor outcomes in 28 cohorts worldwide

Author

Liew, Sook-Lei, Zavaliangos-Petropulu, Artemis, Schweighofer, Nicolas, Jahanshad, Neda, Lang, Catherine E, Lohse, Keith R, Banaj, Nerisa, Barisano, Giuseppe, Baugh, Lee A, Bhattacharya, Anup K, Bigjahan, Bavrina, Borich, Michael R, Boyd, Lara A, Brodtmann, Amy, Buetefisch, Cathrin M, Byblow, Winston D, Cassidy, Jessica M, Charalambous, Charalambos C, Ciullo, Valentina, Conforto, Adriana B, Craddock, Richard C, Dula, Adrienne N, Egorova, Natalia, Feng, Wuwei, Fercho, Kelene A, Gregory, Chris M, Hanlon, Colleen A, Hayward, Kathryn S, Holguin, Jess A, Hordacre, Brenton, Hwang, Darryl H, Kautz, Steven A, Khlif, Mohamed Salah, Kim, Bokkyu, Kim, Hosung, Kuceyeski, Amy, Lo, Bethany, Liu, Jingchun, Lin, David, Lotze, Martin, MacIntosh, Bradley J, Margetis, John L, Mohamed, Feroze B, Nordvik, Jan Egil, Petoe, Matthew A, Piras, Fabrizio, Raju, Sharmila, Ramos-Murguialday, Ander, Revill, Kate P, Roberts, Pamela, Robertson, Andrew D, Schambra, Heidi M, Seo, Na Jin, Shiroishi, Mark S, Soekadar, Surjo R, Spalletta, Gianfranco, Stinear, Cathy M, Suri, Anisha, Tang, Wai Kwong, Thielman, Gregory T, Thijs, Vincent N, Vecchio, Daniela, Ward, Nick S, Westlye, Lars T, Winstein, Carolee J, Wittenberg, George F, Wong, Kristin A, Yu, Chunshui, Wolf, Steven L, Cramer, Steven C, Thompson, Paul M, Baugh, Lee, Gallaguet, Adrià Bermudo, Bhattacharya, Anup, Borich, Michael, Boyd, Lara, Brown, Truman, Buetefisch, Cathrin, Byblow, Winston, Cassidy, Jessica, Charalambous, Charalambos, Cloutier, Alison, Cole, James, Conforto, Adriana, Craddock, Richard, Cramer, Steven, Aguayo, Rosalia Dacosta, DiCarlo, Julie, Dimyan, Michael, Domin, Martin, Donnellly, Miranda, Dula, Adrienne, Edwardson, Matthew, and Ermer, Elsa

Subjects
Biological Psychology, Psychology, Rehabilitation, Stroke, Brain Disorders, Neurosciences, Aetiology, 2.1 Biological and endogenous factors, stroke, rehabilitation, sensorimotor behaviour, MRI, subcortical volumes, ENIGMA Stroke Recovery Working Group, Clinical sciences, Biological psychology
Abstract

Up to two-thirds of stroke survivors experience persistent sensorimotor impairments. Recovery relies on the integrity of spared brain areas to compensate for damaged tissue. Deep grey matter structures play a critical role in the control and regulation of sensorimotor circuits. The goal of this work is to identify associations between volumes of spared subcortical nuclei and sensorimotor behaviour at different timepoints after stroke. We pooled high-resolution T1-weighted MRI brain scans and behavioural data in 828 individuals with unilateral stroke from 28 cohorts worldwide. Cross-sectional analyses using linear mixed-effects models related post-stroke sensorimotor behaviour to non-lesioned subcortical volumes (Bonferroni-corrected, P

Published
2021

14. 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

15. The thalamus and its subnuclei—a gateway to obsessive-compulsive disorder

Author

Weeland, Cees J., Kasprzak, Selina, de Joode, Niels T., Abe, Yoshinari, Alonso, Pino, Ameis, Stephanie H., Anticevic, Alan, Arnold, Paul D., Balachander, Srinivas, Banaj, Nerisa, Bargallo, Nuria, Batistuzzo, Marcelo C., Benedetti, Francesco, Beucke, Jan C., Bollettini, Irene, Brecke, Vilde, Brem, Silvia, Cappi, Carolina, Cheng, Yuqi, Cho, Kang Ik K., Costa, Daniel L. C., Dallaspezia, Sara, Denys, Damiaan, Eng, Goi Khia, Ferreira, Sónia, Feusner, Jamie D., Fontaine, Martine, Fouche, Jean-Paul, Grazioplene, Rachael G., Gruner, Patricia, He, Mengxin, Hirano, Yoshiyuki, Hoexter, Marcelo Q., Huyser, Chaim, Hu, Hao, Jaspers-Fayer, Fern, Kathmann, Norbert, Kaufmann, Christian, Kim, Minah, Koch, Kathrin, Bin Kwak, Yoo, Kwon, Jun Soo, Lazaro, Luisa, Li, Chiang-shan R., Lochner, Christine, Marsh, Rachel, Martínez-Zalacaín, Ignacio, Mataix-Cols, David, Menchón, Jose M., Minnuzi, Luciano, Moreira, Pedro Silva, Morgado, Pedro, Nakagawa, Akiko, Nakamae, Takashi, Narayanaswamy, Janardhanan C., Nurmi, Erika L., Ortiz, Ana E., Pariente, Jose C., Piacentini, John, Picó-Pérez, Maria, Piras, Fabrizio, Piras, Federica, Pittenger, Christopher, Reddy, Y. C. Janardhan, Rodriguez-Manrique, Daniela, Sakai, Yuki, Shimizu, Eiji, Shivakumar, Venkataram, Simpson, Helen Blair, Soreni, Noam, Soriano-Mas, Carles, Sousa, Nuno, Spalletta, Gianfranco, Stern, Emily R., Stevens, Michael C., Stewart, S. Evelyn, Szeszko, Philip R., Takahashi, Jumpei, Tanamatis, Tais, Tang, Jinsong, Thorsen, Anders Lillevik, Tolin, David, van der Werf, Ysbrand D., van Marle, Hein, van Wingen, Guido A., Vecchio, Daniela, Venkatasubramanian, G., Walitza, Susanne, Wang, Jicai, Wang, Zhen, Watanabe, Anri, Wolters, Lidewij H., Xu, Xiufeng, Yun, Je-Yeon, Zhao, Qing, White, Tonya, Thompson, Paul M., Stein, Dan J., van den Heuvel, Odile A., and Vriend, Chris

Published
2022
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16. 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

17. 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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18. Structural brain abnormalities and aggressive behaviour in schizophrenia: Mega-analysis of data from 2095 patients and 2861 healthy controls via the ENIGMA consortium

Author

Lamsma, Jelle, primary, Raine, Adrian, additional, Kia, Seyed M., additional, Cahn, Wiepke, additional, Arold, Dominic, additional, Banaj, Nerisa, additional, Barone, Annarita, additional, Brosch, Katharina, additional, Brouwer, Rachel, additional, Brunetti, Arturo, additional, Calhoun, Vince D., additional, Chew, Qian H., additional, Choi, Sunah, additional, Chung, Young-Chul, additional, Ciccarelli, Mariateresa, additional, Cobia, Derin, additional, Cocozza, Sirio, additional, Dannlowski, Udo, additional, Dazzan, Paola, additional, de Bartolomeis, Andrea, additional, Forti, Marta Di, additional, Dumais, Alexandre, additional, Edmond, Jesse T., additional, Ehrlich, Stefan, additional, Evermann, Ulrika, additional, Flinkenflügel, Kira, additional, Georgiadis, Foivos, additional, Glahn, David C., additional, Goltermann, Janik, additional, Green, Melissa J., additional, Grotegerd, Dominik, additional, Guerrero-Pedraza, Amalia, additional, Ha, Minji, additional, Hong, Elliot L., additional, Pol, Hilleke Hulshoff, additional, Iasevoli, Felice, additional, Kaiser, Stefan, additional, Kaleda, Vasily, additional, Karuk, Andriana, additional, Kim, Minah, additional, Kircher, Tilo, additional, Kirschner, Matthias, additional, Kochunov, Peter, additional, Kwon, Jun Soo, additional, Lebedeva, Irina, additional, Lencer, Rebekka, additional, Marques, Tiago R., additional, Meinert, Susanne, additional, Murray, Robin, additional, Nenadić, Igor, additional, Nguyen, Dana, additional, Pearlson, Godfrey, additional, Piras, Fabrizio, additional, Pomarol-Clotet, Edith, additional, Pontillo, Giuseppe, additional, Potvin, Stéphane, additional, Preda, Adrian, additional, Quidé, Yann, additional, Rodrigue, Amanda, additional, Rootes-Murdy, Kelly, additional, Salvador, Raymond, additional, Skoch, Antonin, additional, Sim, Kang, additional, Spalletta, Gianfranco, additional, Spaniel, Filip, additional, Stein, Frederike, additional, Thomas-Odenthal, Florian, additional, Tikàsz, Andràs, additional, Tomecek, David, additional, Tomyshev, Alexander, additional, Tranfa, Mario, additional, Tsogt, Uyanga, additional, Turner, Jessica A., additional, van Erp, Theo G. M., additional, van Haren, Neeltje E. M., additional, van Os, Jim, additional, Vecchio, Daniela, additional, Wang, Lei, additional, Wroblewski, Adrian, additional, and Nickl-Jockschat, Thomas, additional

Published
2024
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19. A Worldwide Study of White Matter Microstructural Alterations in People Living with Parkinson’s Disease

Author

Owens-Walton, Conor, primary, Nir, Talia M., additional, Al-Bachari, Sarah, additional, Ambrogi, Sonia, additional, Anderson, Tim J., additional, Aventurato, Ítalo Karmann, additional, Cendes, Fernando, additional, Chen, Yao-Liang, additional, Ciullo, Valentina, additional, Cook, Phil, additional, Dalrymple-Alford, John C., additional, Dirkx, Michiel F., additional, Druzgal, Jason, additional, Emsley, Hedley C. A., additional, Guimarães, Rachel, additional, Haroon, Hamied A., additional, Helmich, Rick C., additional, Hu, Michele T., additional, Johansson, Martin E., additional, Kim, Ho Bin, additional, Klein, Johannes C., additional, Laansma, Max, additional, Lawrence, Katherine E., additional, Lochner, Christine, additional, Mackay, Clare, additional, McMillan, Corey, additional, Melzer, Tracy R., additional, Nabulsi, Leila, additional, Newman, Ben, additional, Opriessnig, Peter, additional, Parkes, Laura M., additional, Pellicano, Clelia, additional, Piras, Fabrizio, additional, Piras, Federica, additional, Pirpamer, Lukas, additional, Pitcher, Toni L., additional, Poston, Kathleen L., additional, Roos, Annerine, additional, Silva, Lucas Scárdua, additional, Schmidt, Reinhold, additional, Schwingenschuh, Petra, additional, Shahid, Marian, additional, Spalletta, Gianfranco, additional, Stein, Dan J., additional, Thomopoulos, Sophia I., additional, Tosun, Duygu, additional, Tsai, Chih-Chien, additional, van den Heuvel, Odile A., additional, van Heese, Eva, additional, Vecchio, Daniela, additional, Villalón-Reina, Julio E., additional, Vriend, Chris, additional, Wang, Jiun-Jie, additional, Wu, Yih-Ru, additional, Yasuda, Clarissa Lin, additional, Thompson, Paul M., additional, Jahanshad, Neda, additional, and van der Werf, Ysbrand, additional

Published
2024
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21. Mapping Cortical and Subcortical Asymmetry in Obsessive-Compulsive Disorder: Findings From the ENIGMA Consortium

Author

Kong, Xiang-Zhen, Boedhoe, Premika S.W., Abe, Yoshinari, Alonso, Pino, Ameis, Stephanie H., Anticevic, Alan, Arnold, Paul D., Assogna, Francesca, Baker, Justin T., Banaj, Nerisa, Bargalló, Nuria, Batistuzzo, Marcelo C., Benedetti, Francesco, Beucke, Jan C., Bollettini, Irene, Bose, Anushree, Brandeis, Daniel, Brem, Silvia, Brennan, Brian P., Buitelaar, Jan, Busatto, Geraldo F., Calvo, Anna, Calvo, Rosa, Cheng, Yuqi, Cho, Kang Ik K., Ciullo, Valentina, Dallaspezia, Sara, Denys, Damiaan, de Vries, Froukje E., de Wit, Stella J., Dickie, Erin, Drechsler, Renate, Ely, Benjamin A., Esteves, Madalena, Falini, Andrea, Fang, Yu, Feusner, Jamie, Figee, Martijn, Fitzgerald, Kate D., Fontaine, Martine, Fouche, Jean-Paul, Fridgeirsson, Egill A., Gruner, Patricia, Gürsel, Deniz A., Hall, Geoff, Hamatani, Sayo, Hanna, Gregory L., Hansen, Bjarne, Hauser, Tobias U., Hirano, Yoshiyuki, Hoexter, Marcelo Q., Hu, Hao, Huyser, Chaim, Ikari, Keisuke, Jahanshad, Neda, James, Anthony, Jaspers-Fayer, Fern, Kathmann, Norbert, Kaufmann, Christian, Koch, Kathrin, Kuno, Masaru, Kvale, Gerd, Kwon, Jun Soo, Lazaro, Luisa, Liu, Yanni, Lochner, Christine, Magalhães, Ricardo, Marques, Paulo, Marsh, Rachel, Martínez-Zalacaín, Ignacio, Masuda, Yasutaka, Mataix-Cols, David, Matsumoto, Koji, McCracken, James T., Menchón, José M., Miguel, Euripedes C., Minuzzi, Luciano, Moreira, Pedro S., Morer, Astrid, Morgado, Pedro, Nakagawa, Akiko, Nakamae, Takashi, Nakao, Tomohiro, Narayanaswamy, Janardhanan C., Narumoto, Jin, Nishida, Seiji, Nurmi, Erika L., O'Neill, Joseph, Pariente, Jose C., Perriello, Chris, Piacentini, John, Piras, Fabrizio, Piras, Federica, Pittenger, Christopher, Poletti, Sara, Reddy, Y.C. Janardhan, Reess, Tim, Rus-Oswald, Oana Georgiana, Sakai, Yuki, Sato, Joao R., Schmaal, Lianne, Shimizu, Eiji, Simpson, H. Blair, Soreni, Noam, Soriano-Mas, Carles, Sousa, Nuno, Spalletta, Gianfranco, Stern, Emily R., Stevens, Michael C., Stewart, S. Evelyn, Szeszko, Philip R., Takahashi, Jumpei, Tang, Jinsong, Thorsen, Anders Lillevik, Tolin, David F., Tsuchiyagaito, Aki, van Rooij, Daan, van Wingen, Guido A., van der Werf, Ysbrand D., Veltman, Dick J., Vecchio, Daniela, Venkatasubramanian, Ganesan, Walitza, Susanne, Wang, Zhen, Watanabe, Anri, Xu, Jian, Xu, Xiufeng, Yamada, Kei, Yoshida, Tokiko, Yun, Je-Yeon, Zarei, Mojtaba, Zhao, Qing, Zhou, Cong, Thompson, Paul M., Stein, Dan J., van den Heuvel, Odile A., Francks, Clyde, Glahn, David C., and Medland, Sarah E.

Published
2020
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22. Two neurostructural subtypes: results of machine learning on brain images from 4,291 individuals with schizophrenia

Author

Jiang, Yuchao, primary, Luo, Cheng, additional, Wang, Jijun, additional, Palaniyappan, Lena, additional, Chang, Xiao, additional, Xiang, Shitong, additional, Zhang, Jie, additional, Duan, Mingjun, additional, Huang, Huan, additional, Gaser, Christian, additional, Nemoto, Kiyotaka, additional, Miura, Kenichiro, additional, Hashimoto, Ryota, additional, Westlye, Lars T., additional, Richard, Genevieve, additional, Fernandez-Cabello, Sara, additional, Parker, Nadine, additional, Andreassen, Ole A., additional, Kircher, Tilo, additional, Nenadi?, Igor, additional, Stein, Frederike, additional, Thomas-Odenthal, Florian, additional, Teutenberg, Lea, additional, Usemann, Paula, additional, Dannlowski, Udo, additional, Hahn, Tim, additional, Grotegerd, Dominik, additional, Meinert, Susanne, additional, Lencer, Rebekka, additional, Tang, Yingying, additional, Zhang, Tianhong, additional, Li, Chunbo, additional, Yue, Weihua, additional, Zhang, Yuyanan, additional, Yu, Xin, additional, Zhou, Enpeng, additional, Lin, Ching-Po, additional, Tsai, Shih-Jen, additional, Rodrigue, Amanda L., additional, Glahn, David, additional, Pearlson, Godfrey, additional, Blangero, John, additional, Karuk, Andriana, additional, pomarol-Clotet, Edith, additional, Salvador, Raymond, additional, Fuentes-Claramonte, Paola, additional, angeles, Maria, additional, Spalletta, Gianfranco, additional, Piras, Fabrizio, additional, Vecchio, Daniela, additional, Banaj, Nerisa, additional, Cheng, Jingliang, additional, Liu, Zhening, additional, Yang, Jie, additional, Gonul, Ali Saffet, additional, Uslu, Ozgul, additional, Burhanoglu, Birce Begum, additional, Demir, Aslihan Uyar, additional, Rootes-Murdy, Kelly, additional, Calhoun, Vince D., additional, Sim, Kang, additional, Green, Melissa, additional, Quide, Yann, additional, Chung, Young Chul, additional, Kim, Woo-Sung, additional, Sponheim, Scott R., additional, Demro, Caroline, additional, Ramsay, Ian S., additional, Iasevoli, Felice, additional, Bartolomeis, Andrea de, additional, Barone, Annarita, additional, Ciccarelli, Mariateresa, additional, Brunetti, Arturo, additional, Cocozza, Sirio, additional, Pontillo, Giuseppe, additional, Tranfa, Mario, additional, Park, Min Tae M., additional, Kirschner, Matthias, additional, Georgiadis, Foivos, additional, Kaiser, Stefan, additional, Rheenen, Tamsyn Van, additional, Rossell, Susan, additional, Hughes, Matthew, additional, Woods, William, additional, Carruthers, Sean, additional, Sumner, Philip, additional, Ringin, Elysha, additional, Spaniel, Filip, additional, Skoch, Antonin, additional, Tomecek, David, additional, Homan, Philipp, additional, Homan, Stephanie, additional, Omlor, Wolfgang, additional, Cecere, Giacomo, additional, Nguyen, Dana D, additional, Preda, Adrian, additional, Thomopoulos, Sophia, additional, Jahanshad, Neda, additional, Cui, Long-Biao, additional, Yao, Dezhong, additional, Thompson, Paul M., additional, Turner, Jessica A., additional, van Erp, Theo G.M., additional, Cheng, Wei, additional, and Feng, Jianfeng, additional

Published
2023
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24. Estimating multimodal brain variability in schizophrenia spectrum disorders: A worldwide ENIGMA study

Author

Omlor, Wolfgang, primary, Rabe, Finn, additional, Fuchs, Simon, additional, Cecere, Giacomo, additional, Homan, Stephanie, additional, Surbeck, Werner, additional, Kallen, Nils, additional, Georgiadis, Foivos, additional, Spiller, Tobias, additional, Seifritz, Erich, additional, Weickert, Thomas, additional, Bruggemann, Jason, additional, Weickert, Cynthia, additional, Potkin, Steven, additional, Hashimoto, Ryota, additional, Sim, Kang, additional, Rootes-Murdy, Kelly, additional, Quide, Yann, additional, Houenou, Josselin, additional, Banaj, Nerisa, additional, Vecchio, Daniela, additional, Piras, Fabrizio, additional, Piras, Federica, additional, Spalletta, Gianfranco, additional, Salvador, Raymond, additional, Karuk, Andriana, additional, Pomarol-Clotet, Edith, additional, Rodrigue, Amanda, additional, Pearlson, Godfrey, additional, Glahn, David, additional, Tomecek, David, additional, Spaniel, Filip, additional, Skoch, Antonin, additional, Kirschner, Matthias, additional, Kaiser, Stefan, additional, Kochunov, Peter, additional, Fan, Feng-Mei, additional, Andreassen, Ole A., additional, Westlye, Lars T., additional, Berthet, Pierre, additional, Calhoun, Vince D, additional, Howells, Fleur, additional, Uhlmann, Anne, additional, Scheffler, Freda, additional, Stein, Dan, additional, Iasevoli, Felice, additional, Cairns, Murray J., additional, Carr, Vaughan J., additional, Catts, Stanley V., additional, Di Biase, Maria A., additional, Jablensky, Assen, additional, Green, Melissa J., additional, Henskens, Frans A., additional, Klauser, Paul, additional, Loughland, Carmel, additional, Michie, Patricia T., additional, Mowry, Bryan, additional, Pantelis, Christos, additional, Rasser, Paul E., additional, Schall, Ulrich, additional, Scott, Rodney, additional, Zalesky, Andrew, additional, de Bartolomeis, Andrea, additional, Barone, Annarita, additional, Ciccarelli, Mariateresa, additional, Brunetti, Arturo, additional, Cocozza, Sirio, additional, Pontillo, Giuseppe, additional, Tranfa, Mario, additional, Di Giorgio, Annabella, additional, Thomopoulos, Sophia I., additional, Jahanshad, Neda, additional, Thompson, Paul M., additional, van Erp, Theo, additional, Turner, Jessica, additional, and Homan, Philipp, additional

Published
2023
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27. Data-driven biomarkers outperform theory-based biomarkers in predicting stroke motor outcomes

Author

Olafson, Emily R, primary, Sperber, Christoph, additional, Jamison, Keith W, additional, Bowren, Mark D, additional, Boes, Aaron D, additional, Andrushko, Justin W, additional, Borich, Michael R, additional, Boyd, Lara A, additional, Cassidy, Jessica M, additional, Conforto, Adriana B, additional, Cramer, Steven C, additional, Dula, Adrienne N, additional, Geranmayeh, Fatemeh, additional, Hordacre, Brenton, additional, Jahanshad, Neda, additional, Kautz, Steven A, additional, Lo, Bethany, additional, MacIntosh, Bradley J, additional, Piras, Fabrizio, additional, Robertson, Andrew D, additional, Seo, Na Jin, additional, Soekadar, Surjo R, additional, Thomopoulos, Sophia I, additional, Vecchio, Daniela, additional, Weng, Timothy B, additional, Westlye, Lars T, additional, Winstein, Carolee J, additional, Wittenberg, George F, additional, Wong, Kristin A, additional, Thompson, Paul M, additional, Liew, Sook-Lei, additional, and Kuceyeski, Amy F, additional

Published
2023
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29. Abstract CT184: Preliminary dose escalation results of ERAS-601 in combination with cetuximab in FLAGSHP-1: a phase I study of ERAS-601, a potent and selective SHP2 inhibitor, in patients with previously treated advanced or metastatic solid tumors

Author

McKean, Meredith, primary, Rosen, Ezra, additional, Barve, Minal, additional, Meniawy, Tarek, additional, Wang, Judy, additional, Hong, David S., additional, Yang, Jennifer, additional, Li, Zhengrong, additional, Picard, Roxana, additional, Brail, Les, additional, Vecchio, Daniela, additional, John, Thomas, additional, Cohen, Ezra, additional, Obara, Gregory, additional, and Parikh, Aparna, additional

Published
2023
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30. Association of Brain Age, Lesion Volume, and Functional Outcome in Patients With Stroke

Author

Liew, Sook-Lei, primary, Schweighofer, Nicolas, additional, Cole, James H., additional, Zavaliangos-Petropulu, Artemis, additional, Lo, Bethany P., additional, Han, Laura K.M., additional, Hahn, Tim, additional, Schmaal, Lianne, additional, Donnelly, Miranda R., additional, Jeong, Jessica N., additional, Wang, Zhizhuo, additional, Abdullah, Aisha, additional, Kim, Jun H., additional, Hutton, Alexandre, additional, Barisano, Giuseppe, additional, Borich, Michael R., additional, Boyd, Lara A., additional, Brodtmann, Amy, additional, Buetefisch, Cathrin M., additional, Byblow, Winston D., additional, Cassidy, Jessica M., additional, Charalambous, Charalambos C., additional, Ciullo, Valentina, additional, Conforto, Adriana Bastos, additional, Dacosta-Aguayo, Rosalia, additional, DiCarlo, Julie A., additional, Domin, Martin, additional, Dula, Adrienne N., additional, Egorova-Brumley, Natalia, additional, Feng, Wuwei, additional, Geranmayeh, Fatemeh, additional, Gregory, Chris M., additional, Hanlon, Colleen A., additional, Hayward, Kathryn, additional, Holguin, Jess A., additional, Hordacre, Brenton, additional, Jahanshad, Neda, additional, Kautz, Steven A., additional, Khlif, Mohamed Salah, additional, Kim, Hosung, additional, Kuceyeski, Amy, additional, Lin, David J., additional, Liu, Jingchun, additional, Lotze, Martin, additional, MacIntosh, Bradley J., additional, Margetis, John L., additional, Mataro, Maria, additional, Mohamed, Feroze B., additional, Olafson, Emily R., additional, Park, Gilsoon, additional, Piras, Fabrizio, additional, Revill, Kate P., additional, Roberts, Pamela, additional, Robertson, Andrew D., additional, Sanossian, Nerses, additional, Schambra, Heidi M., additional, Seo, Na Jin, additional, Soekadar, Surjo R., additional, Spalletta, Gianfranco, additional, Stinear, Cathy M., additional, Taga, Myriam, additional, Tang, Wai Kwong, additional, Thielman, Greg T., additional, Vecchio, Daniela, additional, Ward, Nick S., additional, Westlye, Lars T., additional, Winstein, Carolee J., additional, Wittenberg, George F., additional, Wolf, Steven L., additional, Wong, Kristin A., additional, Yu, Chunshui, additional, Cramer, Steven C., additional, and Thompson, Paul M., additional

Published
2023
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31. Concurrent validity and reliability of suicide risk assessment instruments: A meta-analysis of 20 instruments across 27 international cohorts.

Author

Campos, Adrian I., primary, Van Velzen, Laura S., additional, Veltman, Dick J., additional, Pozzi, Elena, additional, Ambrogi, Sonia, additional, Ballard, Elizabeth D., additional, Banaj, Nerisa, additional, Başgöze, Zeynep, additional, Bellow, Sophie, additional, Benedetti, Francesco, additional, Bollettini, Irene, additional, Brosch, Katharina, additional, Canales-Rodríguez, Erick J., additional, Clarke-Rubright, Emily K., additional, Colic, Lejla, additional, Connolly, Colm G., additional, Courtet, Philippe, additional, Cullen, Kathryn R., additional, Dannlowski, Udo, additional, Dauvermann, Maria R., additional, Davey, Christopher G., additional, Deverdun, Jeremy, additional, Dohm, Katharina, additional, Erwin-Grabner, Tracy, additional, Goya-Maldonado, Roberto, additional, Fani, Negar, additional, Fortea, Lydia, additional, Fuentes-Claramonte, Paola, additional, Gonul, Ali Saffet, additional, Gotlib, Ian H., additional, Grotegerd, Dominik, additional, Harris, Mathew A., additional, Harrison, Ben J., additional, Haswell, Courtney C., additional, Hawkins, Emma L., additional, Hill, Dawson, additional, Hirano, Yoshiyuki, additional, Ho, Tiffany C., additional, Jollant, Fabrice, additional, Jovanovic, Tanja, additional, Kircher, Tilo, additional, Klimes-Dougan, Bonnie, additional, le Bars, Emmanuelle, additional, Lochner, Christine, additional, McIntosh, Andrew M., additional, Meinert, Susanne, additional, Mekawi, Yara, additional, Melloni, Elisa, additional, Mitchell, Philip, additional, Morey, Rajendra A., additional, Nakagawa, Akiko, additional, Nenadić, Igor, additional, Olié, Emilie, additional, Pereira, Fabricio, additional, Phillips, Rachel D., additional, Piras, Fabrizio, additional, Poletti, Sara, additional, Pomarol-Clotet, Edith, additional, Radua, Joaquim, additional, Ressler, Kerry J., additional, Roberts, Gloria, additional, Rodriguez-Cano, Elena, additional, Sacchet, Matthew D., additional, Salvador, Raymond, additional, Sandu, Anca-Larisa, additional, Shimizu, Eiji, additional, Singh, Aditya, additional, Spalletta, Gianfranco, additional, Steele, J. Douglas, additional, Stein, Dan J., additional, Stein, Frederike, additional, Stevens, Jennifer S., additional, Teresi, Giana I., additional, Uyar-Demir, Aslihan, additional, van der Wee, Nic J., additional, van der Werff, Steven J., additional, van Rooij, Sanne J. H., additional, Vecchio, Daniela, additional, Verdolini, Norma, additional, Vieta, Eduard, additional, Waiter, Gordon D., additional, Whalley, Heather, additional, Whittle, Sarah L., additional, Yang, Tony T., additional, Zarate, Carlos A., additional, Thompson, Paul M., additional, Jahanshad, Neda, additional, van Harmelen, Anne-Laura, additional, Blumberg, Hilary P., additional, Schmaal, Lianne, additional, and Rentería, Miguel E., additional

Published
2023
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32. 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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33. Brain ageing in schizophrenia:evidence from 26 international cohorts via the ENIGMA Schizophrenia consortium

Author

Constantinides, Constantinos, Han, Laura K. M., Alloza, Clara, Antonucci, Linda Antonella, Arango, Celso, Ayesa-Arriola, Rosa, Banaj, Nerisa, Bertolino, Alessandro, Borgwardt, Stefan, Bruggemann, Jason, Bustillo, Juan, Bykhovski, Oleg, Calhoun, Vince, Carr, Vaughan, Catts, Stanley, Chung, Young-Chul, Crespo-Facorro, Benedicto, Díaz-Caneja, Covadonga M., Donohoe, Gary, Plessis, Stefan Du, Edmond, Jesse, Ehrlich, Stefan, Emsley, Robin, Eyler, Lisa T., Fuentes-Claramonte, Paola, Georgiadis, Foivos, Green, Melissa, Guerrero-Pedraza, Amalia, Ha, Minji, Hahn, Tim, Henskens, Frans A., Holleran, Laurena, Homan, Stephanie, Homan, Philipp, Jahanshad, Neda, Janssen, Joost, Ji, Ellen, Kaiser, Stefan, Kaleda, Vasily, Kim, Minah, Kim, Woo-Sung, Kirschner, Matthias, Kochunov, Peter, Kwak, Yoo Bin, Kwon, Jun Soo, Lebedeva, Irina, Liu, Jingyu, Mitchie, Patricia, Michielse, Stijn, Mothersill, David, Mowry, Bryan, de la Foz, Víctor Ortiz-García, Pantelis, Christos, Pergola, Giulio, Piras, Fabrizio, Pomarol-Clotet, Edith, Preda, Adrian, Quidé, Yann, Rasser, Paul E., Rootes-Murdy, Kelly, Salvador, Raymond, Sangiuliano, Marina, Sarró, Salvador, Schall, Ulrich, Schmidt, André, Scott, Rodney J., Selvaggi, Pierluigi, Sim, Kang, Skoch, Antonin, Spalletta, Gianfranco, Spaniel, Filip, Thomopoulos, Sophia I., Tomecek, David, Tomyshev, Alexander S., Tordesillas-Gutiérrez, Diana, van Amelsvoort, Therese, Vázquez-Bourgon, Javier, Vecchio, Daniela, Voineskos, Aristotle, Weickert, Cynthia S., Weickert, Thomas, Thompson, Paul M., Schmaal, Lianne, van Erp, Theo G. M., Turner, Jessica, Cole, James H., Du Plessis, Stefan, Bin Kwak, Yoo, Dima, Danai, Walton, Esther, Psychiatry, APH - Mental Health, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Neurochirurgie, RS: MHeNs - R3 - Neuroscience, MUMC+: MA Med Staf Spec Psychiatrie (9), RS: MHeNs - R2 - Mental Health, and Psychiatry 3

Subjects
Cellular and Molecular Neuroscience, Psychiatry and Mental health, SDG 3 - Good Health and Well-being, Molecular Biology
Abstract

Schizophrenia (SZ) is associated with an increased risk of life-long cognitive impairments, age-related chronic disease, and premature mortality. We investigated evidence for advanced brain ageing in adult SZ patients, and whether this was associated with clinical characteristics in a prospective meta-analytic study conducted by the ENIGMA Schizophrenia Working Group. The study included data from 26 cohorts worldwide, with a total of 2803 SZ patients (mean age 34.2 years; range 18–72 years; 67% male) and 2598 healthy controls (mean age 33.8 years, range 18–73 years, 55% male). Brain-predicted age was individually estimated using a model trained on independent data based on 68 measures of cortical thickness and surface area, 7 subcortical volumes, lateral ventricular volumes and total intracranial volume, all derived from T1-weighted brain magnetic resonance imaging (MRI) scans. Deviations from a healthy brain ageing trajectory were assessed by the difference between brain-predicted age and chronological age (brain-predicted age difference [brain-PAD]). On average, SZ patients showed a higher brain-PAD of +3.55 years (95% CI: 2.91, 4.19; I2 = 57.53%) compared to controls, after adjusting for age, sex and site (Cohen’s d = 0.48). Among SZ patients, brain-PAD was not associated with specific clinical characteristics (age of onset, duration of illness, symptom severity, or antipsychotic use and dose). This large-scale collaborative study suggests advanced structural brain ageing in SZ. Longitudinal studies of SZ and a range of mental and somatic health outcomes will help to further evaluate the clinical implications of increased brain-PAD and its ability to be influenced by interventions.

Published
2023

36. In vivo white matter microstructure in adolescents with early-onset psychosis: a multi-site mega-analysis

Author

Barth, Claudia, primary, Kelly, Sinead, additional, Nerland, Stener, additional, Jahanshad, Neda, additional, Alloza, Clara, additional, Ambrogi, Sonia, additional, Andreassen, Ole A., additional, Andreou, Dimitrios, additional, Arango, Celso, additional, Baeza, Inmaculada, additional, Banaj, Nerisa, additional, Bearden, Carrie E., additional, Berk, Michael, additional, Bohman, Hannes, additional, Castro-Fornieles, Josefina, additional, Chye, Yann, additional, Crespo-Facorro, Benedicto, additional, de la Serna, Elena, additional, Díaz-Caneja, Covadonga M., additional, Gurholt, Tiril P., additional, Hegarty, Catherine E., additional, James, Anthony, additional, Janssen, Joost, additional, Johannessen, Cecilie, additional, Jönsson, Erik G., additional, Karlsgodt, Katherine H., additional, Kochunov, Peter, additional, Lois, Noemi G., additional, Lundberg, Mathias, additional, Myhre, Anne M., additional, Pascual-Diaz, Saül, additional, Piras, Fabrizio, additional, Smelror, Runar E., additional, Spalletta, Gianfranco, additional, Stokkan, Therese S., additional, Sugranyes, Gisela, additional, Suo, Chao, additional, Thomopoulos, Sophia I., additional, Tordesillas-Gutiérrez, Diana, additional, Vecchio, Daniela, additional, Wedervang-Resell, Kirsten, additional, Wortinger, Laura A., additional, Thompson, Paul M., additional, and Agartz, Ingrid, additional

Published
2022
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37. TV‐L1 Ordinal Logistic Regression Reveals New Morphometric Patterns Related to Parkinsonian Symptom Severity: An ENIGMA‐PD study

Author

Zhao, Yuji, primary, van Heese, Eva, additional, Laansma, Max A., additional, Al‐Bachari, Sarah, additional, Anderson, Tim, additional, Assogna, Francesca, additional, Berendse, Henk W., additional, Bright, Joanna, additional, Cendes, Fernando, additional, Dalrymple‐Alford, John, additional, Debove, Ines, additional, Dirkx, Michiel, additional, Druzgal, T. Jason, additional, Emsley, Hedley, additional, Fouche, JP, additional, Garraux, Gaëtan, additional, Guimarães, Rachel, additional, Helmich, Rick, additional, Jahanshad, Neda, additional, Kim, Ho Bin, additional, Klein, Johannes C, additional, Lochner, Christine, additional, Mackay, Clare, additional, McMillan, Corey T, additional, Melzer, Tracy R, additional, Newman, Benjamin T, additional, Owens‐Walton, Conor, additional, Parkes, Laura, additional, Piras, Fabrizio, additional, Pitcher, Toni, additional, Poston, Kathleen L, additional, Rango, Mario, additional, Ribeiro, Leticia Franchescheti, additional, Rocha, Cristiane, additional, Roos, Annerine, additional, Rummel, Christian, additional, Santos, Lucas, additional, Schmidt, Reinhold, additional, Spalletta, Gianfranco, additional, Squarcina, Letizia, additional, Schwingenschuh, Petra, additional, Vecchio, Daniela, additional, Vriend, Chris, additional, Wang, Jiun‐Jie, additional, Weintraub, Daniel, additional, Wiest, Roland, additional, Yasuda, Clarissa, additional, Thompson, Paul M, additional, van der Werf, Ysbrand D., additional, and Gutman, Boris A, additional

Published
2022
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43. Chronic Stroke Sensorimotor Impairment Is Related to Smaller Hippocampal Volumes: An ENIGMA Analysis

Author

Zavaliangos-Petropulu, Artemis, Lo, Bethany, Donnelly, Miranda R, Schweighofer, Nicolas, Lohse, Keith, Jahanshad, Neda, Barisano, Giuseppe, Banaj, Nerisa, Borich, Michael R, Boyd, Lara A, Buetefisch, Cathrin M, Byblow, Winston D, Cassidy, Jessica M, Charalambous, Charalambos C, Conforto, Adriana B, DiCarlo, Julie A, Dula, Adrienne N, Egorova-Brumley, Natalia, Etherton, Mark R, Feng, Wuwei, Fercho, Kelene A, Geranmayeh, Fatemeh, Hanlon, Colleen A, Hayward, Kathryn S, Hordacre, Brenton, Kautz, Steven A, Khlif, Mohamed Salah, Kim, Hosung, Kuceyeski, Amy, Lin, David J, Liu, Jingchun, Lotze, Martin, MacIntosh, Bradley J, Margetis, John L, Mohamed, Feroze B, Piras, Fabrizio, Ramos-Murguialday, Ander, Revill, Kate P, Roberts, Pamela S, Robertson, Andrew D, Schambra, Heidi M, Seo, Na Jin, Shiroishi, Mark S, Stinear, Cathy M, Soekadar, Surjo R, Spalletta, Gianfranco, Taga, Myriam, Tang, Wai Kwong, Thielman, Gregory T, Vecchio, Daniela, Ward, Nick S, Westlye, Lars T, Werden, Emilio, Winstein, Carolee, Wittenberg, George F, Wolf, Steven L, Wong, Kristin A, Yu, Chunshui, Brodtmann, Amy, Cramer, Steven C, Thompson, Paul M, and Liew, Sook-Lei

Subjects
Male, Aging, hippocampus, sensorimotor impairment, Stroke Rehabilitation, Neurosciences, Recovery of Function, Cardiorespiratory Medicine and Haematology, Hippocampus, stroke, Brain Disorders, Upper Extremity, Stroke, Cross-Sectional Studies, Quality of Life, Humans, Female, MRI
Abstract

Background Persistent sensorimotor impairments after stroke can negatively impact quality of life. The hippocampus is vulnerable to poststroke secondary degeneration and is involved in sensorimotor behavior but has not been widely studied within the context of poststroke upper-limb sensorimotor impairment. We investigated associations between non-lesioned hippocampal volume and upper limb sensorimotor impairment in people with chronic stroke, hypothesizing that smaller ipsilesional hippocampal volumes would be associated with greater sensorimotor impairment. Methods and Results Cross-sectional T1-weighted magnetic resonance images of the brain were pooled from 357 participants with chronic stroke from 18 research cohorts of the ENIGMA (Enhancing NeuoImaging Genetics through Meta-Analysis) Stroke Recovery Working Group. Sensorimotor impairment was estimated from the FMA-UE (Fugl-Meyer Assessment of Upper Extremity). Robust mixed-effects linear models were used to test associations between poststroke sensorimotor impairment and hippocampal volumes (ipsilesional and contralesional separately; Bonferroni-corrected, P

Published
2022

44. Global brain health modulates the impact of lesion damage on post-stroke sensorimotor outcomes

Author

Liew, Sook-Lei, primary, Schweighofer, Nicolas, additional, Cole, James H., additional, Zavaliangos-Petropulu, Artemis, additional, Lo, Bethany P., additional, Han, Laura K.M., additional, Hahn, Tim, additional, Schmaal, Lianne, additional, Donnelly, Miranda R., additional, Jeong, Jessica N., additional, Wang, Zhizhuo, additional, Abdullah, Aisha, additional, Kim, Jun H., additional, Hutton, Alexandre, additional, Barisano, Giuseppe, additional, Borich, Michael R., additional, Boyd, Lara A., additional, Brodtmann, Amy, additional, Buetefisch, Cathrin M., additional, Byblow, Winston D., additional, Cassidy, Jessica M., additional, Charalambous, Charalambos C., additional, Ciullo, Valentina, additional, Conforto, Adriana B., additional, Dacosta-Aguayo, Rosalia, additional, DiCarlo, Julie A., additional, Domin, Martin, additional, Dula, Adrienne N., additional, Egorova-Brumley, Natalia, additional, Feng, Wuwei, additional, Geranmayeh, Fatemeh, additional, Gregory, Chris M., additional, Hanlon, Colleen A., additional, Holguin, Jess A., additional, Hordacre, Brenton, additional, Jahanshad, Neda, additional, Kautz, Steven A., additional, Khlif, Mohamed Salah, additional, Kim, Hosung, additional, Kuceyeski, Amy, additional, Lin, David J., additional, Liu, Jingchun, additional, Lotze, Martin, additional, MacIntosh, Bradley J., additional, Margetis, John L., additional, Mataro, Maria, additional, Mohamed, Feroze B., additional, Olafson, Emily R., additional, Park, Gilsoon, additional, Piras, Fabrizio, additional, Revill, Kate P., additional, Roberts, Pamela, additional, Robertson, Andrew D., additional, Sanossian, Nerses, additional, Schambra, Heidi M., additional, Seo, Na Jin, additional, Soekadar, Surjo R., additional, Spalletta, Gianfranco, additional, Stinear, Cathy M., additional, Taga, Myriam, additional, Tang, Wai Kwong, additional, Thielman, Greg T., additional, Vecchio, Daniela, additional, Ward, Nick S., additional, Westlye, Lars T., additional, Winstein, Carolee J., additional, Wittenberg, George F., additional, Wolf, Steven L., additional, Wong, Kristin A., additional, Yu, Chunshui, additional, Cramer, Steven C., additional, and Thompson, Paul M., additional

Published
2022
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46. Smaller spared subcortical nuclei are associated with worse post-stroke sensorimotor outcomes in 28 cohorts worldwide

Author

Liew, Sook-Lei, Zavaliangos-Petropulu, Artemis, Schweighofer, Nicolas, Jahanshad, Neda, Lang, Catherine E, Lohse, Keith R, Banaj, Nerisa, Barisano, Giuseppe, Baugh, Lee A, Bhattacharya, Anup K, Bigjahan, Bavrina, Borich, Michael R, Boyd, Lara A, Brodtmann, Amy, Buetefisch, Cathrin M, Byblow, Winston D, Cassidy, Jessica M, Charalambous, Charalambos C, Ciullo, Valentina, Conforto, Adriana B, Craddock, Richard C, Dula, Adrienne N, Egorova, Natalia, Feng, Wuwei, Fercho, Kelene A, Gregory, Chris M, Hanlon, Colleen A, Hayward, Kathryn S, Holguin, Jess A, Hordacre, Brenton, Hwang, Darryl H, Kautz, Steven A, Khlif, Mohamed Salah, Kim, Bokkyu, Kim, Hosung, Kuceyeski, Amy, Lo, Bethany, Liu, Jingchun, Lin, David, Lotze, Martin, MacIntosh, Bradley J, Margetis, John L, Mohamed, Feroze B, Nordvik, Jan Egil, Petoe, Matthew A, Piras, Fabrizio, Raju, Sharmila, Ramos-Murguialday, Ander, Revill, Kate P, Roberts, Pamela, Robertson, Andrew D, Schambra, Heidi M, Seo, Na Jin, Shiroishi, Mark S, Soekadar, Surjo R, Spalletta, Gianfranco, Stinear, Cathy M, Suri, Anisha, Tang, Wai Kwong, Thielman, Gregory T, Thijs, Vincent N, Vecchio, Daniela, Ward, Nick S, Westlye, Lars T, Winstein, Carolee J, Wittenberg, George F, Wong, Kristin A, Yu, Chunshui, Wolf, Steven L, Cramer, Steven C, Thompson, Paul M, Baugh, Lee, Gallaguet, Adrià Bermudo, Bhattacharya, Anup, Borich, Michael, Boyd, Lara, Brown, Truman, Buetefisch, Cathrin, Byblow, Winston, Cassidy, Jessica, Charalambous, Charalambos, Cloutier, Alison, Cole, James, Conforto, Adriana, Craddock, Richard, Cramer, Steven, Aguayo, Rosalia Dacosta, DiCarlo, Julie, Dimyan, Michael, Domin, Martin, Donnellly, Miranda, Dula, Adrienne, Edwardson, Matthew, Ermer, Elsa, Etherton, Mark, Fercho, Kelene, Ferris, Jennifer, Geranmayeh, Fatemeh, Gregory, Chris, Hadidchi, Shahram, Hanlon, Colleen, Hayes, Leticia, Hayward, Kathryn, Holguin, Jess, Hwang, Darryl, Jamison, Keith, Juliano, Julia, Kautz, Steven, Lang, Catherine, Lee, Jenny, Lohse, Keith, MacIntosh, Bradley, Margetis, John, Margulies, Daniel, Mataro, Maria, McGregor, Keith, Mohamed, Feroze, Nordvik, Jan, Olafson, Emily, Perera-LLuna, Alexandre, Petoe, Matthew, Phillips, Aaron, Revill, Kate, Robertson, Andrew, Rondina, Jane, Rost, Natalia, Sanossian, Nerses, Schambra, Heidi, Schranz, Christian, Sepehrband, Farshid, Shiroishi, Mark, Simon, Julia, Soekadar, Surjo, Srivastava, Shraddha, Stewart, Jill, Stinear, Cathy, Taga, Myriam, Thielman, Gregory, Thijs, Vincent, Thomopoulos, Sophia, Thompson, Paul, Warach, Steven, Ward, Nick, Werden, Emilio, Westlye, Lars, Wiest, Roland, Winstein, Carolee, Wittenberg, George, Wolf, Steven, Wong, Kristin, Liew, Sook-Lei, Zavaliangos-Petropulu, Artemis, Schweighofer, Nicolas, Jahanshad, Neda, Hordacre, Brenton, and Thompson, Paul M

Subjects
medicine.medical_specialty, Thalamus, Grey matter, Nucleus accumbens, rehabilitation, Physical medicine and rehabilitation, sensorimotor behaviour, Medicine, Mri brain, Stroke survivor, Chronic stroke, Stroke, subcortical volumes, business.industry, AcademicSubjects/SCI01870, Putamen, General Engineering, medicine.disease, stroke, Behavioral data, medicine.anatomical_structure, Ventricle, Post stroke, Original Article, AcademicSubjects/MED00310, business, MRI
Abstract

Up to two-thirds of stroke survivors experience persistent sensorimotor impairments. Recovery relies on the integrity of spared brain areas to compensate for damaged tissue. Deep grey matter structures play a critical role in the control and regulation of sensorimotor circuits. The goal of this work is to identify associations between volumes of spared subcortical nuclei and sensorimotor behaviour at different timepoints after stroke. We pooled high-resolution T1-weighted MRI brain scans and behavioural data in 828 individuals with unilateral stroke from 28 cohorts worldwide. Cross-sectional analyses using linear mixed-effects models related post-stroke sensorimotor behaviour to non-lesioned subcortical volumes (Bonferroni-corrected, P, Liew et al. report the first large-scale examination using high-resolution neuroimaging of subcortical nuclei and sensorimotor behaviour in 828 stroke patients from 28 cohorts worldwide. They discovered novel associations between post-stroke sensorimotor behaviour and specific subcortical nuclei, providing new insight for stroke rehabilitation., Graphical Abstract Graphical Abstract

Published
2022

47. Large-scale analysis of structural brain asymmetries in schizophrenia via the ENIGMA consortium

Author

Schijven, Dick, primary, Postema, Merel C., additional, Fukunaga, Masaki, additional, Matsumoto, Junya, additional, Miura, Kenichiro, additional, de Zwarte, Sonja M.C., additional, van Haren, Neeltje E.M., additional, Cahn, Wiepke, additional, Hulshoff Pol, Hilleke E., additional, Kahn, René S., additional, Ayesa-Arriola, Rosa, additional, Ortiz-García de la Foz, Víctor, additional, Tordesillas-Gutierrez, Diana, additional, Vázquez-Bourgon, Javier, additional, Crespo-Facorro, Benedicto, additional, Alnæs, Dag, additional, Dahl, Andreas, additional, Westlye, Lars T., additional, Agartz, Ingrid, additional, Andreassen, Ole A., additional, Jönsson, Erik G., additional, Kochunov, Peter, additional, Bruggemann, Jason M., additional, Catts, Stanley V., additional, Michie, Patricia T., additional, Mowry, Bryan J., additional, Quidé, Yann, additional, Rasser, Paul E., additional, Schall, Ulrich, additional, Scott, Rodney J., additional, Carr, Vaughan J., additional, Green, Melissa J., additional, Henskens, Frans A., additional, Loughland, Carmel M., additional, Pantelis, Christos, additional, Weickert, Cynthia Shannon, additional, Weickert, Thomas W., additional, de Haan, Lieuwe, additional, Brosch, Katharina, additional, Pfarr, Julia-Katharina, additional, Ringwald, Kai G., additional, Stein, Frederike, additional, Jansen, Andreas, additional, Kircher, Tilo T.J., additional, Nenadic, Igor, additional, Krämer, Bernd, additional, Gruber, Oliver, additional, Satterthwaite, Theodore D., additional, Bustillo, Juan, additional, Mathalon, Daniel H., additional, Preda, Adrian, additional, Calhoun, Vince D., additional, Ford, Judith M., additional, Potkin, Steven G., additional, Chen, Jingxu, additional, Tan, Yunlong, additional, Wang, Zhiren, additional, Xiang, Hong, additional, Fan, Fengmei, additional, Bernardoni, Fabio, additional, Ehrlich, Stefan, additional, Fuentes-Claramonte, Paola, additional, Garcia-Leon, Maria Angeles, additional, Guerrero-Pedraza, Amalia, additional, Salvador, Raymond, additional, Sarró, Salvador, additional, Pomarol-Clotet, Edith, additional, Ciullo, Valentina, additional, Piras, Fabrizio, additional, Vecchio, Daniela, additional, Banaj, Nerisa, additional, Spalletta, Gianfranco, additional, Michielse, Stijn, additional, van Amelsvoort, Therese, additional, Dickie, Erin W., additional, Voineskos, Aristotle N., additional, Sim, Kang, additional, Ciufolini, Simone, additional, Dazzan, Paola, additional, Murray, Robin M., additional, Kim, Woo-Sung, additional, Chung, Young-Chul, additional, Andreou, Christina, additional, Schmidt, André, additional, Borgwardt, Stefan, additional, McIntosh, Andrew M., additional, Whalley, Heather C., additional, Lawrie, Stephen M., additional, du Plessis, Stefan, additional, Luckhoff, Hilmar K., additional, Scheffler, Freda, additional, Emsley, Robin, additional, Grotegerd, Dominik, additional, Lencer, Rebekka, additional, Dannlowski, Udo, additional, Edmond, Jesse T., additional, Rootes-Murdy, Kelly, additional, Stephen, Julia M., additional, Mayer, Andrew R., additional, Antonucci, Linda A., additional, Fazio, Leonardo, additional, Pergola, Giulio, additional, Bertolino, Alessandro, additional, Díaz-Caneja, Covadonga M., additional, Janssen, Joost, additional, Lois, Noemi G., additional, Arango, Celso, additional, Tomyshev, Alexander S., additional, Lebedeva, Irina, additional, Cervenka, Simon, additional, Sellgren, Carl M., additional, Georgiadis, Foivos, additional, Kirschner, Matthias, additional, Kaiser, Stefan, additional, Hajek, Tomas, additional, Skoch, Antonin, additional, Spaniel, Filip, additional, Kim, Minah, additional, Kwak, Yoo Bin, additional, Oh, Sanghoon, additional, Kwon, Jun Soo, additional, James, Anthony, additional, Bakker, Geor, additional, Knöchel, Christian, additional, Stäblein, Michael, additional, Oertel, Viola, additional, Uhlmann, Anne, additional, Howells, Fleur M., additional, Stein, Dan J., additional, Temmingh, Henk S., additional, Diaz-Zuluaga, Ana M., additional, Pineda-Zapata, Julian A., additional, López-Jaramillo, Carlos, additional, Homan, Stephanie, additional, Ji, Ellen, additional, Surbeck, Werner, additional, Homan, Philipp, additional, Fisher, Simon E., additional, Franke, Barbara, additional, Glahn, David C., additional, Gur, Ruben C., additional, Hashimoto, Ryota, additional, Jahanshad, Neda, additional, Luders, Eileen, additional, Medland, Sarah E., additional, Thompson, Paul M., additional, Turner, Jessica A., additional, van Erp, Theo G.M., additional, and Francks, Clyde, additional

Published
2022
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48. In vivo white matter microstructure in adolescents with early-onset psychosis: a multi-site mega-analysis via the ENIGMA Consortium

Author

Barth, Claudia, primary, Kelly, Sinead, additional, Nerland, Stener, additional, Jahanshad, Neda, additional, Alloza, Clara, additional, Ambrogi, Sonia, additional, Andreassen, Ole A, additional, Andreou, Dimitrios, additional, Arango, Celso, additional, Baeza, Inmaculada, additional, Banaj, Nerisa, additional, Bearden, Carrie E, additional, Berk, Michael, additional, Bohman, Hannes, additional, Castro-Fornieles, Josefina, additional, Chye, Yann, additional, Crespo-Facorro, Benedicto, additional, de la Serna, Elena, additional, Díaz-Caneja, Covadonga M, additional, Gurholt, Tiril P, additional, Hegarty, Catherine E, additional, James, Anthony, additional, Janssen, Joost, additional, Johannessen, Cecilie, additional, Jönsson, Erik G, additional, Karlsgodt, Katherine H, additional, Kochunov, Peter, additional, Lois, Noemi G, additional, Lundberg, Mathias, additional, Myhre, Anne M, additional, Pascual-Diaz, Saül, additional, Piras, Fabrizio, additional, Smelror, Runar E, additional, Spalletta, Gianfranco, additional, Stokkan, Therese S, additional, Sugranyes, Gisela, additional, Suo, Chao, additional, Thomopoulos, Sophia I, additional, Tordesillas-Gutiérrez, Diana, additional, Vecchio, Daniela, additional, Wedervang-Resell, Kirsten, additional, Wortinger, Laura A, additional, Thompson, Paul M., additional, and Agartz, Ingrid, additional

Published
2022
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49. Brain ageing in schizophrenia: evidence from 26 international cohorts via the ENIGMA Schizophrenia consortium

Author

Constantinides, Constantinos, primary, Han, Laura KM, additional, Alloza, Clara, additional, Antonucci, Linda, additional, Arango, Celso, additional, Ayesa-Arriola, Rosa, additional, Banaj, Nerisa, additional, Bertolino, Alessandro, additional, Borgwardt, Stefan, additional, Bruggemann, Jason, additional, Bustillo, Juan, additional, Bykhovski, Oleg, additional, Carr, Vaughan, additional, Catts, Stanley, additional, Chung, Young-Chul, additional, Crespo-Facorro, Benedicto, additional, Díaz-Caneja, Covadonga M, additional, Donohoe, Gary, additional, Plessis, Stefan Du, additional, Edmond, Jesse, additional, Ehrlich, Stefan, additional, Emsley, Robin, additional, Eyler, Lisa T, additional, Fuentes-Claramonte, Paola, additional, Georgiadis, Foivos, additional, Green, Melissa, additional, Guerrero-Pedraza, Amalia, additional, Ha, Minji, additional, Hahn, Tim, additional, Henskens, Frans A, additional, Holleran, Laurena, additional, Homan, Stephanie, additional, Homan, Philipp, additional, Jahanshad, Neda, additional, Janssen, Joost, additional, Ji, Ellen, additional, Kaiser, Stefan, additional, Kaleda, Vasily, additional, Kim, Minah, additional, Kim, Woo-Sung, additional, Kirschner, Matthias, additional, Kochunov, Peter, additional, Kwak, Yoo Bin, additional, Kwon, Jun Soo, additional, Lebedeva, Irina, additional, Liu, Jingyu, additional, Mitchie, Patricia, additional, Michielse, Stijn, additional, Mothersill, David, additional, Mowry, Bryan, additional, de la Foz, Víctor Ortiz-García, additional, Pantelis, Christos, additional, Pergola, Giulio, additional, Piras, Fabrizio, additional, Pomarol-Clotet, Edith, additional, Preda, Adrian, additional, Quidé, Yann, additional, Rasser, Paul E, additional, Rootes-Murdy, Kelly, additional, Salvador, Raymond, additional, Sangiuliano, Marina, additional, Sarró, Salvador, additional, Schall, Ulrich, additional, Schmidt, André, additional, Scott, Rodney J, additional, Selvaggi, Pierluigi, additional, Sim, Kang, additional, Skoch, Antonin, additional, Spalletta, Gianfranco, additional, Spaniel, Filip, additional, Thomopoulos, Sophia I., additional, Tomecek, David, additional, Tomyshev, Alexander S, additional, Tordesillas-Gutiérrez, Diana, additional, van Amelsvoort, Therese, additional, Vázquez-Bourgon, Javier, additional, Vecchio, Daniela, additional, Voineskos, Aristotle, additional, Weickert, Cynthia S, additional, Weickert, Thomas, additional, Thompson, Paul M, additional, Schmaal, Lianne, additional, van Erp, Theo GM, additional, Turner, Jessica, additional, Cole, James H, additional, Dima, Danai, additional, and Walton, Esther, additional

Published
2022
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50. Nanomaterials: Tissue Regeneration

Author

Chandran, Rakkiyappan, primary, Cassimiro, Douglas Lopes, additional, Gupta, Asheesh, additional, Antunes-Melo, Wanessa C., additional, Balu, Anbarasan, additional, Sadasivam, Magesh, additional, Vecchio, Daniela, additional, and Hamblin, Michael R., additional

Published
2016
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