Neuroanatomical markers of psychotic experiences in adolescents: A machine-learning approach in a longitudinal population-based sample

It is important to identify accurate markers of psychiatric illness to aid early prediction of disease course. Subclinical psychotic experiences (PEs) are important risk factors for later mental ill-health and suicidal behaviour. This study used machine learning to investigate neuroanatomical marker...

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Detalles Bibliográficos
Autores principales: Kenney, Joanne P.M., Milena Rueda-Delgado, Laura, Hanlon, Erik O., Jollans, Lee, Kelleher, Ian, Healy, Colm, Dooley, Niamh, McCandless, Conor, Frodl, Thomas, Leemans, Alexander, Lebel, Catherine, Whelan, Robert, Cannon, Mary
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8920932/
https://www.ncbi.nlm.nih.gov/pubmed/35287090
http://dx.doi.org/10.1016/j.nicl.2022.102983

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8920932/
https://www.ncbi.nlm.nih.gov/pubmed/35287090
http://dx.doi.org/10.1016/j.nicl.2022.102983

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