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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Bibliografiska uppgifter
I publikationen:Brain
Huvudupphovsmän: 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
Materialtyp: Artigo
Språk:Inglês
Publicerad: Oxford University Press 2020
Ämnen:
Original Articles
Länkar: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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