No evidence of associations between genetic liability for schizophrenia and development of cannabis use disorder

Parietal P3 and midfrontal theta prospectively predict the development of adolescent alcohol use

most well studied candidate endophenotype indexing

P3 improved model fit/prediction [delta chi2(22)=18.96, p<0.001; delta R2=0.03

The predictive power of expressed emotion and its components in relapse of schizophrenia: a meta-analysis and meta-regression

Psychiatric management of anti-NMDAR encephalitis: a cohort analysis

Psychosocial and pharmacological treatments for cannabis use disorder and mental health comorbidities: a narrative review

individual psychotherapy (48% therapist reported completion), p<0.001

Reduced limbic microstructural integrity in functional neurological disorder

white matter based graph theory analysis

mean age=40.9 ± 13.1 average illness duration=3.5 ± 4.5

Social reinforcement learning as a predictor of real-life experiences in individuals with high and low depressive symptomatology

Testing the neurodevelopmental, trauma and developmental risk factor models of psychosis using a naturalistic experiment

ratio=4.87, 95% confidence interval CI 1.96-12.08
b=0.41, 95% confidence interval CI 0.04-0.92

Trends in self-reported psychological distress among college and university students from 2010 to 2018

variance adjusted weighted least squares estimators

The SHoT2010 targeted Norwegian full time students<35
The SHoT2014 study targeted Norwegian full time students<35

Annual incidence of cannabis-induced psychosis, other substance-induced psychoses and dually diagnosed schizophrenia and cannabis use disorder in Denmark from 1994 to 2016

Calculating individualized risk components using a mobile app-based risk calculator for clinical high risk of psychosis: findings from ShangHai At Risk for Psychosis (SHARP) program

Care-as-usual control groups across different settings in randomized trials on psychotherapy for adult depression: a meta-analysis

Causal inference with observational data: the need for triangulation of evidence