Multisite Machine Learning Analysis Provides a Robust Structural Imaging Signature of Schizophrenia Detectable Across Diverse Patient Populations and Within Individuals

Past work on relatively small, single-site studies using regional volumetry, and more recently machine learning methods, has shown that widespread structural brain abnormalities are prominent in schizophrenia. However, to be clinically useful, structural imaging biomarkers must integrate high-dimens...

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Detalhes bibliográficos
Publicado no:Schizophr Bull
Main Authors: Rozycki, Martin, Satterthwaite, Theodore D, Koutsouleris, Nikolaos, Erus, Guray, Doshi, Jimit, Wolf, Daniel H, Fan, Yong, Gur, Raquel E, Gur, Ruben C, Meisenzahl, Eva M, Zhuo, Chuanjun, Yin, Hong, Yan, Hao, Yue, Weihua, Zhang, Dai, Davatzikos, Christos
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2018
Assuntos:
Regular Articles
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6101559/
https://ncbi.nlm.nih.gov/pubmed/29186619
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/schbul/sbx137
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