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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Bibliografiske detaljer
Udgivet i: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.
Format: Artigo
Sprog:Inglês
Udgivet: American Medical Association 2018
Fag:
Original Investigation
Online adgang: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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