Use of Machine Learning to Determine Deviance in Neuroanatomical Maturity Associated With Future Psychosis in Youths at Clinically High Risk

IMPORTANCE: Altered neurodevelopmental trajectories are thought to reflect heterogeneity in the pathophysiologic characteristics of schizophrenia, but whether neural indicators of these trajectories are associated with future psychosis is unclear. OBJECTIVE: To investigate distinct neuroanatomical m...

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Detalhes bibliográficos
Publicado no:JAMA Psychiatry
Main Authors: Chung, Yoonho, 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: American Medical Association 2018
Assuntos:
Original Investigation
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6142910/
https://ncbi.nlm.nih.gov/pubmed/29971330
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1001/jamapsychiatry.2018.1543
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