Relations of temporoparietal connectivity with neighborhood social fragmentation in youth at clinical high-risk for psychosis.

Temporoparietal brain areas comprise a candidate set of regions for interrogating the brain functional correlates of socioenvironmental factors in people at clinical high-risk for psychosis (CHR-P). Temporal lobe abnormalities have been shown to be common among people with schizophrenia spectrum conditions. Further, temporoparietal brain regions are implicated in tasks relevant to psychosocial outcomes, including coherent autobiographical memory recall and multimodal integration.

Emergence and dynamics of delusions and hallucinations across stages in early psychosis.

Background: Hallucinations and delusions are often grouped together within the positive symptoms of psychosis. However, recent evidence suggests they may be driven by distinct computational and neural mechanisms. Examining the time course of their emergence may provide insights into the relationship between these underlying mechanisms.

Predicting conversion to psychosis using machine learning: response to Cannon.

Background: We previously reported that machine learning could be used to predict conversion to psychosis in individuals at clinical high risk (CHR) for psychosis with up to 90% accuracy using the North American Prodrome Longitudinal Study-3 (NAPLS-3) dataset. A definitive test of our predictive model that was trained on the NAPLS-3 data, however, requires further support through implementation in an independent dataset. In this report we tested for model generalization using the previous iteration of NAPLS-3, the NAPLS-2, using the identical machine learning algorithms employed in our previous study.

Attention Deficit Hyperactivity Disorder Among Youth at Clinical High Risk of Psychosis.

Background: Attention Deficit Hyperactivity Disorder (ADHD) affects a significant proportion of the population and is associated with numerous adverse outcomes including lower educational attainment, occupational challenges, increased substance use, and various mental health issues including psychosis. This study examined the demographic, clinical, cognitive, social cognitive, and functional differences between youth at clinical high-risk (CHR) for psychosis with and without comorbid ADHD.

Method: Data were drawn from the North American Prodrome Longitudinal Studies (NAPLS2 and NAPLS3), which included 764 and 710 CHR individuals, respectively.