Cortical abnormalities in youth at clinical high-risk for psychosis: Findings from the NAPLS2 cohort

In a recent machine learning study classifying “brain age” based on cross-sectional neuroanatomical data, clinical high-risk (CHR) individuals were observed to show deviation from the normal neuromaturational pattern, which in turn was predictive of greater risk of conversion to psychosis and a patt...

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Detalhes bibliográficos
Publicado no:Neuroimage Clin
Main Authors: Chung, Yoonho, Allswede, Dana, Addington, Jean, Bearden, Carrie E., Cadenhead, Kristin, Cornblatt, Barbara, Mathalon, Daniel H., McGlashan, Thomas, Perkins, Diana, Seidman, Larry J., Tsuang, Ming, Walker, Elaine, Woods, Scott W., McEwen, Sarah, van Erp, Theo G.M., Cannon, Tyrone D.
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier 2019
Assuntos:
Regular Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6541907/
https://ncbi.nlm.nih.gov/pubmed/31150956
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.nicl.2019.101862
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