Two distinct neuroanatomical subtypes of schizophrenia revealed using machine learning

Neurobiological heterogeneity in schizophrenia is poorly understood and confounds current analyses. We investigated neuroanatomical subtypes in a multi-institutional multi-ethnic cohort, using novel semi-supervised machine learning methods designed to discover patterns associated with disease rather...

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書誌詳細
出版年:Brain
主要な著者: Chand, Ganesh B, Dwyer, Dominic B, Erus, Guray, Sotiras, Aristeidis, Varol, Erdem, Srinivasan, Dhivya, Doshi, Jimit, Pomponio, Raymond, Pigoni, Alessandro, Dazzan, Paola, Kahn, Rene S, Schnack, Hugo G, Zanetti, Marcus V, Meisenzahl, Eva, Busatto, Geraldo F, Crespo-Facorro, Benedicto, Pantelis, Christos, Wood, Stephen J, Zhuo, Chuanjun, Shinohara, Russell T, Shou, Haochang, Fan, Yong, Gur, Ruben C, Gur, Raquel E, Satterthwaite, Theodore D, Koutsouleris, Nikolaos, Wolf, Daniel H, Davatzikos, Christos
フォーマット: Artigo
言語:Inglês
出版事項: Oxford University Press 2020
主題:
Original Articles
オンライン･アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC7089665/
https://ncbi.nlm.nih.gov/pubmed/32103250
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/brain/awaa025
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