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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6541907/
https://www.ncbi.nlm.nih.gov/pubmed/31150956
http://dx.doi.org/10.1016/j.nicl.2019.101862

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6541907/
https://www.ncbi.nlm.nih.gov/pubmed/31150956
http://dx.doi.org/10.1016/j.nicl.2019.101862

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