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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Main Authors: Joanne P.M. Kenney, Laura Milena Rueda-Delgado, Erik O. Hanlon, Lee Jollans, Ian Kelleher, Colm Healy, Niamh Dooley, Conor McCandless, Thomas Frodl, Alexander Leemans, Catherine Lebel, Robert Whelan, Mary Cannon
Formato: Artigo
Idioma:Inglês
Publicado: Elsevier 2022-01-01
Series:NeuroImage: Clinical
Assuntos:
Machine learning
Psychotic experiences
Adolescents
Neuroanatomy
Structural MRI
Diffusion MRI
Acceso en liña:http://www.sciencedirect.com/science/article/pii/S2213158222000481
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