Cortical abnormalities in youth at clinical high-risk for psychosis: Findings from the NAPLS2 cohort.

ABSTRACT: In a recent machine learning study classifying "brain age" based on cross-sectional neuroanatomical data, clinical high-risk (CHR) individuals were observed to show deviation from the normal neuromaturational pattern, which in turn was predictive of greater risk of conversion to psychosis and a pattern of stably poor functional outcome. These effects were unique to cases who were between 12 and 17 years of age when their prodromal and psychotic symptoms began, suggesting that neuroanatomical deviance observable at the point of ascertainment of a CHR syndrome marks risk for an early onset form of psychosis. In the present study, we sought to clarify the pattern of neuroanatomical deviance linked to this "early onset" form of psychosis and whether this deviance is associated with poorer prem

SUBMITTER: Chung Y 

PROVIDER: S-EPMC6541907 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature