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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Bibliografische gegevens
Gepubliceerd in:JAMA Psychiatry
Hoofdauteurs: 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.
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: American Medical Association 2018
Onderwerpen:
Original Investigation
Online toegang: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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