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...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Julkaisussa:JAMA Psychiatry
Päätekijät: 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.
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: American Medical Association 2018
Aiheet:
Original Investigation
Linkit: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
Tagit: Lisää tagi
Ei tageja, Lisää ensimmäinen tagi!

Samankaltaisia teoksia