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Browsing by Author "Banaj, Nerisa"
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Item Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging(Springer Nature, 2017-09) Petrov, Dmitry; Gutman, Boris A.; Yu, Shih-Hua (Julie); van Erp, Theo G.M.; Turner, Jessica A.; Schmaal, Lianne; Veltman, Dick; Wang, Lei; Alpert, Kathryn; Isaev, Dmitry; Zavaliangos-Petropulu, Artemis; Ching, Christopher R.K.; Calhoun, Vince; Glahn, David; Satterthwaite, Theodore D.; Andreasen, Ole Andreas; Borgwardt, Stefan; Howells, Fleur; Groenewold, Nynke; Voineskos, Aristotle; Radua, Joaquim; Potkin, Steven G.; Crespo-Facorro, Benedicto; Tordesillas-Gutirrez, Diana; Shen, Li; Lebedeva, Irina; Spalletta, Gianfranco; Donohoe, Gary; Kochunov, Peter; Rosa, Pedro G.P.; James, Anthony; Dannlowski, Udo; Baune, Berhard T.; Aleman, Andre; Gotlib, Ian H.; Walter, Henrik; Walter, Martin; Soares, Jair C.; Ehrlich, Stefan; Gur, Ruben C.; Doan, N. Trung; Agartz, Ingrid; Westlye, Lars T.; Harrisberger, Fabienne; Richer-Rossler, Anita; Uhlmann, Anne; Stein, Dan J.; Dickie, Erin W.; Pomarol-Clotet, Edith; Fuentes-Claramonte, Paola; Canales-Rodriguez, Erick Jorge; Salvador, Raymond; Huang, Alexander J.; Roiz-Santianez, Roberto; Cong, Shan; Tomyshev, Alexander; Piras, Fabrizio; Vecchio, Daniela; Banaj, Nerisa; Ciullo, Valentina; Hong, Elliot; Busatto, Geraldo; Zanetti, Marcus V.; Serpa, Mauricio H.; Cervenka, Simon; Kelly, Sinead; Grotegerd, Dominik; Sacchet, Matthew D.; Veer, Illya M.; Li, Meng; Wu, Mon-Ju; Irungu, Benson; Walton, Esther; Thompson, Paul M.; Medicine, School of MedicineAs very large studies of complex neuroimaging phenotypes become more common, human quality assessment of MRI-derived data remains one of the last major bottlenecks. Few attempts have so far been made to address this issue with machine learning. In this work, we optimize predictive models of quality for meshes representing deep brain structure shapes. We use standard vertex-wise and global shape features computed homologously across 19 cohorts and over 7500 human-rated subjects, training kernelized Support Vector Machine and Gradient Boosted Decision Trees classifiers to detect meshes of failing quality. Our models generalize across datasets and diseases, reducing human workload by 30-70%, or equivalently hundreds of human rater hours for datasets of comparable size, with recall rates approaching inter-rater reliability.Item New insights into the genetic etiology of Alzheimer's disease and related dementias(Springer Nature, 2022) Bellenguez, Céline; Küçükali, Fahri; Jansen, Iris E.; Kleineidam, Luca; Moreno-Grau, Sonia; Amin, Najaf; Naj, Adam C.; Campos-Martin, Rafael; Grenier-Boley, Benjamin; Andrade, Victor; Holmans, Peter A.; Boland, Anne; Damotte, Vincent; van der Lee, Sven J.; Costa, Marcos R.; Kuulasmaa, Teemu; Yang, Qiong; de Rojas, Itziar; Bis, Joshua C.; Yaqub, Amber; Prokic, Ivana; Chapuis, Julien; Ahmad, Shahzad; Giedraitis, Vilmantas; Aarsland, Dag; Garcia-Gonzalez, Pablo; Abdelnour, Carla; Alarcón-Martín, Emilio; Alcolea, Daniel; Alegret, Montserrat; Alvarez, Ignacio; Álvarez, Victoria; Armstrong, Nicola J.; Tsolaki, Anthoula; Antúnez, Carmen; Appollonio, Ildebrando; Arcaro, Marina; Archetti, Silvana; Arias Pastor, Alfonso; Arosio, Beatrice; Athanasiu, Lavinia; Bailly, Henri; Banaj, Nerisa; Baquero, Miquel; Barral, Sandra; Beiser, Alexa; Belén Pastor, Ana; Below, Jennifer E.; Benchek, Penelope; Benussi, Luisa; Berr, Claudine; Besse, Céline; Bessi, Valentina; Binetti, Giuliano; Bizarro, Alessandra; Blesa, Rafael; Boada, Mercè; Boerwinkle, Eric; Borroni, Barbara; Boschi, Silvia; Bossù, Paola; Bråthen, Geir; Bressler, Jan; Bresner, Catherine; Brodaty, Henry; Brookes, Keeley J.; Brusco, Luis Ignacio; Buiza-Rueda, Dolores; Bûrger, Katharina; Burholt, Vanessa; Bush, William S.; Calero, Miguel; Cantwell, Laura B.; Chene, Geneviève; Chung, Jaeyoon; Cuccaro, Michael L.; Carracedo, Ángel; Cecchetti, Roberta; Cervera-Carles, Laura; Charbonnier, Camille; Chen, Hung-Hsin; Chillotti, Caterina; Ciccone, Simona; Claassen, Jurgen A. H. R.; Clark, Christopher; Conti, Elisa; Corma-Gómez, Anaïs; Costantini, Emanuele; Custodero, Carlo; Daian, Delphine; Dalmasso, Maria Carolina; Daniele, Antonio; Dardiotis, Efthimios; Dartigues, Jean-François; de Deyn, Peter Paul; de Paiva Lopes, Katia; de Witte, Lot D.; Debette, Stéphanie; Deckert, Jürgen; Del Ser, Teodoro; Denning, Nicola; DeStefano, Anita; Dichgans, Martin; Diehl-Schmid, Janine; Diez-Fairen, Mónica; Dionigi Rossi, Paolo; Djurovic, Srdjan; Duron, Emmanuelle; Düzel, Emrah; Dufouil, Carole; Eiriksdottir, Gudny; Engelborghs, Sebastiaan; Escott-Price, Valentina; Espinosa, Ana; Ewers, Michael; Faber, Kelley M.; Fabrizio, Tagliavini; Fallgaard Nielsen, Sune; Fardo, David W.; Farotti, Lucia; Fenoglio, Chiara; Fernández-Fuertes, Marta; Ferrari, Raffaele; Ferreira, Catarina B.; Ferri, Evelyn; Fin, Bertrand; Fischer, Peter; Fladby, Tormod; Fließbach, Klaus; Fongang, Bernard; Fornage, Myriam; Fortea, Juan; Foroud, Tatiana M.; Fostinelli, Silvia; Fox, Nick C.; Franco-Macías, Emlio; Bullido, María J.; Frank-García, Ana; Froelich, Lutz; Fulton-Howard, Brian; Galimberti, Daniela; García-Alberca, Jose Maria; García-González, Pablo; Garcia-Madrona, Sebastian; Garcia-Ribas, Guillermo; Ghidoni, Roberta; Giegling, Ina; Giorgio, Giaccone; Goate, Alison M.; Goldhardt, Oliver; Gomez-Fonseca, Duber; González-Pérez, Antonio; Graff, Caroline; Grande, Giulia; Green, Emma; Grimmer, Timo; Grünblatt, Edna; Grunin, Michelle; Gudnason, Vilmundur; Guetta-Baranes, Tamar; Haapasalo, Annakaisa; Hadjigeorgiou, Georgios; Haines, Jonathan L.; Hamilton-Nelson, Kara L.; Hampel, Harald; Hanon, Olivier; Hardy, John; Hartmann, Annette M.; Hausner, Lucrezia; Harwood, Janet; Heilmann-Heimbach, Stefanie; Helisalmi, Seppo; Heneka, Michael T.; Hernández, Isabel; Herrmann, Martin J.; Hoffmann, Per; Holmes, Clive; Holstege, Henne; Huerto Vilas, Raquel; Hulsman, Marc; Humphrey, Jack; Jan Biessels, Geert; Jian, Xueqiu; Johansson, Charlotte; Jun, Gyungah R.; Kastumata, Yuriko; Kauwe, John; Kehoe, Patrick G.; Kilander, Lena; Kinhult Ståhlbom, Anne; Kivipelto, Miia; Koivisto, Anne; Kornhuber, Johannes; Kosmidis, Mary H.; Kukull, Walter A.; Kuksa, Pavel P.; Kunkle, Brian W.; Kuzma, Amanda B.; Lage, Carmen; Laukka, Erika J.; Launer, Lenore; Lauria, Alessandra; Lee, Chien-Yueh; Lehtisalo, Jenni; Lerch, Ondrej; Lleó, Alberto; Longstreth, William, Jr.; Lopez, Oscar; Lopez de Munain, Adolfo; Love, Seth; Löwemark, Malin; Luckcuck, Lauren; Lunetta, Kathryn L.; Ma, Yiyi; Macías, Juan; MacLeod, Catherine A.; Maier, Wolfgang; Mangialasche, Francesca; Spallazzi, Marco; Marquié, Marta; Marshall, Rachel; Martin, Eden R.; Martín Montes, Angel; Martínez Rodríguez, Carmen; Masullo, Carlo; Mayeux, Richard; Mead, Simon; Mecocci, Patrizia; Medina, Miguel; Meggy, Alun; Mehrabian, Shima; Mendoza, Silvia; Menéndez-González, Manuel; Mir, Pablo; Moebus, Susanne; Mol, Merel; Molina-Porcel, Laura; Montrreal, Laura; Morelli, Laura; Moreno, Fermin; Morgan, Kevin; Mosley, Thomas; Nöthen, Markus M.; Muchnik, Carolina; Mukherjee, Shubhabrata; Nacmias, Benedetta; Ngandu, Tiia; Nicolas, Gael; Nordestgaard, Børge G.; Olaso, Robert; Orellana, Adelina; Orsini, Michela; Ortega, Gemma; Padovani, Alessandro; Paolo, Caffarra; Papenberg, Goran; Parnetti, Lucilla; Pasquier, Florence; Pastor, Pau; Peloso, Gina; Pérez-Cordón, Alba; Pérez-Tur, Jordi; Pericard, Pierre; Peters, Oliver; Pijnenburg, Yolande A. L.; Pineda, Juan A.; Piñol-Ripoll, Gerard; Pisanu, Claudia; Polak, Thomas; Popp, Julius; Posthuma, Danielle; Priller, Josef; Puerta, Raquel; Quenez, Olivier; Quintela, Inés; Qvist Thomassen, Jesper; Rábano, Alberto; Rainero, Innocenzo; Rajabli, Farid; Ramakers, Inez; Real, Luis M.; Reinders, Marcel J. T.; Reitz, Christiane; Reyes-Dumeyer, Dolly; Ridge, Perry; Riedel-Heller, Steffi; Riederer, Peter; Roberto, Natalia; Rodriguez-Rodriguez, Eloy; Rongve, Arvid; Rosas Allende, Irene; Rosende-Roca, Maitée; Royo, Jose Luis; Rubino, Elisa; Rujescu, Dan; Sáez, María Eugenia; Sakka, Paraskevi; Saltvedt, Ingvild; Sanabria, Ángela; Sánchez-Arjona, María Bernal; Sanchez-Garcia, Florentino; Sánchez Juan, Pascual; Sánchez-Valle, Raquel; Sando, Sigrid B.; Sarnowski, Chloé; Satizabal, Claudia L.; Scamosci, Michela; Scarmeas, Nikolaos; Scarpini, Elio; Scheltens, Philip; Scherbaum, Norbert; Scherer, Martin; Schmid, Matthias; Schneider, Anja; Schott, Jonathan M.; Selbæk, Geir; Seripa, Davide; Serrano, Manuel; Sha, Jin; Shadrin, Alexey A.; Skrobot, Olivia; Slifer, Susan; Snijders, Gijsje J. L.; Soininen, Hilkka; Solfrizzi, Vincenzo; Solomon, Alina; Song, Yeunjoo; Sorbi, Sandro; Sotolongo-Grau, Oscar; Spalletta, Gianfranco; Spottke, Annika; Squassina, Alessio; Stordal, Eystein; Tartan, Juan Pablo; Tárraga, Lluís; Tesí, Niccolo; Thalamuthu, Anbupalam; Thomas, Tegos; Tosto, Giuseppe; Traykov, Latchezar; Tremolizzo, Lucio; Tybjærg-Hansen, Anne; Uitterlinden, Andre; Ullgren, Abbe; Ulstein, Ingun; Valero, Sergi; Valladares, Otto; Van Broeckhoven, Christine; Vance, Jeffery; Vardarajan, Badri N.; van der Lugt, Aad; Van Dongen, Jasper; van Rooij, Jeroen; van Swieten, John; Vandenberghe, Rik; Verhey, Frans; Vidal, Jean-Sébastien; Vogelgsang, Jonathan; Vyhnalek, Martin; Wagner, Michael; Wallon, David; Wang, Li-San; Wang, Ruiqi; Weinhold, Leonie; Wiltfang, Jens; Windle, Gill; Woods, Bob; Yannakoulia, Mary; Zare, Habil; Zhao, Yi; Zhang, Xiaoling; Zhu, Congcong; Zulaica, Miren; EADB; GR@ACE; DEGESCO; EADI; GERAD; Demgene; FinnGen; ADGC; CHARGE; Farrer, Lindsay A.; Psaty, Bruce M.; Ghanbari, Mohsen; Raj, Towfique; Sachdev, Perminder; Mather, Karen; Jessen, Frank; Ikram, M. Arfan; de Mendonça, Alexandre; Hort, Jakub; Tsolaki, Magda; Pericak-Vance, Margaret A.; Amouyel, Philippe; Williams, Julie; Frikke-Schmidt, Ruth; Clarimon, Jordi; Deleuze, Jean-François; Rossi, Giacomina; Seshadri, Sudha; Andreassen, Ole A.; Ingelsson, Martin; Hiltunen, Mikko; Sleegers, Kristel; Schellenberg, Gerard D.; van Duijn, Cornelia M.; Sims, Rebecca; van der Flier, Wiesje M.; Ruiz, Agustín; Ramirez, Alfredo; Lambert, Jean-Charles; Medical and Molecular Genetics, School of MedicineCharacterization of the genetic landscape of Alzheimer’s disease (AD) and related dementias (ADD) provides a unique opportunity for a better understanding of the associated pathophysiological processes. We performed a two-stage genome-wide association study totaling 111,326 clinically diagnosed/‘proxy’ AD cases and 677,663 controls. We found 75 risk loci, of which 42 were new at the time of analysis. Pathway enrichment analyses confirmed the involvement of amyloid/tau pathways and highlighted microglia implication. Gene prioritization in the new loci identified 31 genes that were suggestive of new genetically associated processes, including the tumor necrosis factor alpha pathway through the linear ubiquitin chain assembly complex. We also built a new genetic risk score associated with the risk of future AD/dementia or progression from mild cognitive impairment to AD/dementia. The improvement in prediction led to a 1.6- to 1.9-fold increase in AD risk from the lowest to the highest decile, in addition to effects of age and the APOE ε4 allele.Item Normative Modeling of Brain Morphometry Across the Lifespan Using CentileBrain: Algorithm Benchmarking and Model Optimization(bioRxiv, 2023-12-02) Ge, Ruiyang; Yu, Yuetong; Qi, Yi Xuan; Fan, Yunan Vera; Chen, Shiyu; Gao, Chuntong; Haas, Shalaila S.; Modabbernia, Amirhossein; New, Faye; Agartz, Ingrid; Asherson, Philip; Ayesa-Arriola, Rosa; Banaj, Nerisa; Banaschewski, Tobias; Baumeister, Sarah; Bertolino, Alessandro; Boomsma, Dorret I.; Borgwardt, Stefan; Bourque, Josiane; Brandeis, Daniel; Breier, Alan; Brodaty, Henry; Brouwer, Rachel M.; Buckner, Randy; Buitelaar, Jan K.; Cannon, Dara M.; Caseras, Xavier; Cervenka, Simon; Conrod, Patricia J.; Crespo-Facorro, Benedicto; Crivello, Fabrice; Crone, Eveline A.; de Haan, Liewe; de Zubicaray, Greig I.; Di Giorgio, Annabella; Erk, Susanne; Fisher, Simon E.; Franke, Barbara; Frodl, Thomas; Glahn, David C.; Grotegerd, Dominik; Gruber, Oliver; Gruner, Patricia; Gur, Raquel E.; Gur, Ruben C.; Harrison, Ben J.; Hatton, Sean N.; Hickie, Ian; Howells, Fleur M.; Hulshoff Pol, Hilleke E.; Huyser, Chaim; Jernigan, Terry L.; Jiang, Jiyang; Joska, John A.; Kahn, René S.; Kalnin, Andrew J.; Kochan, Nicole A.; Koops, Sanne; Kuntsi, Jonna; Lagopoulos, Jim; Lazaro, Luisa; Lebedeva, Irina S.; Lochner, Christine; Martin, Nicholas G.; Mazoyer, Bernard; McDonald, Brenna C.; McDonald, Colm; McMahon, Katie L.; Nakao, Tomohiro; Nyberg, Lars; Piras, Fabrizio; Portella, Maria J.; Qiu, Jiang; Roffman, Joshua L.; Sachdev, Perminder S.; Sanford, Nicole; Satterthwaite, Theodore D.; Saykin, Andrew J.; Schumann, Gunter; Sellgren, Carl M.; Sim, Kang; Smoller, Jordan W.; Soares, Jair; Sommer, Iris E.; Spalletta, Gianfranco; Stein, Dan J.; Tamnes, Christian K.; Thomopolous, Sophia I.; Tomyshev, Alexander S.; Tordesillas-Gutiérrez, Diana; Trollor, Julian N.; van 't Ent, Dennis; van den Heuvel, Odile A.; van Erp, Theo Gm.; van Haren, Neeltje Em.; Vecchio, Daniela; Veltman, Dick J.; Walter, Henrik; Wang, Yang; Weber, Bernd; Wei, Dongtao; Wen, Wei; Westlye, Lars T.; Wierenga, Lara M.; Williams, Steven Cr.; Wright, Margaret J.; Medland, Sarah; Wu, Mon-Ju; Yu, Kevin; Jahanshad, Neda; Thompson, Paul M.; Frangou, Sophia; Psychiatry, School of MedicineWe present an empirically benchmarked framework for sex-specific normative modeling of brain morphometry that can inform about the biological and behavioral significance of deviations from typical age-related neuroanatomical changes and support future study designs. This framework was developed using regional morphometric data from 37,407 healthy individuals (53% female; aged 3-90 years) following a comparative evaluation of eight algorithms and multiple covariate combinations pertaining to image acquisition and quality, parcellation software versions, global neuroimaging measures, and longitudinal stability. The Multivariate Factorial Polynomial Regression (MFPR) emerged as the preferred algorithm optimized using nonlinear polynomials for age and linear effects of global measures as covariates. The MFPR models showed excellent accuracy across the lifespan and within distinct age-bins, and longitudinal stability over a 2-year period. The performance of all MFPR models plateaued at sample sizes exceeding 3,000 study participants. The model and scripts described here are freely available through CentileBrain (https://centilebrain.org/).