Use of machine learning to determine deviance in neuroanatomical maturity associated with future psychosis in youths at clinically high risk
Y Chung, J Addington, CE Bearden… - JAMA …, 2018 - jamanetwork.com
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 markers that can differentiate aberrant neurodevelopmental trajectories
among clinically high-risk (CHR) individuals. Design, Setting, and Participants In this
prospective longitudinal multicenter study, a neuroanatomical-based age prediction model …
the pathophysiologic characteristics of schizophrenia, but whether neural indicators of these
trajectories are associated with future psychosis is unclear. Objective To investigate distinct
neuroanatomical markers that can differentiate aberrant neurodevelopmental trajectories
among clinically high-risk (CHR) individuals. Design, Setting, and Participants In this
prospective longitudinal multicenter study, a neuroanatomical-based age prediction model …
以上显示的是最相近的搜索结果。 查看全部搜索结果