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Abstract. Background: There have been very few prospective studies of death by suicide in the general population. Rather, studies of suicide have generally used psychological autopsies, a method that has the potential weakness of recall bias. Aims: To examine correlates of death by suicide among a community-based nonclinical sample prospectively assessed years before death by suicide. Method: We analyzed data from an epidemiological study of a 10-year birth cohort (n = 4,914) conducted in Israel in the 1980s, with follow-up mortality data over 25 years. Results: Eight participants died by suicide during follow-up (6/100,000 per year; mean follow-up to suicide = 18.3 ± 2.0 years), the majority of whom were rated as functioning relatively well at baseline. Male sex, psychiatric hospitalizations, major depressive disorder, and previous suicide attempts were associated with later suicide. Conclusion: In this nonclinical sample of persons assessed between ages 25 and 34, several correlates of suicide were identified, but the majority of persons who died by suicide were relatively high functioning at baseline. Major precursors of suicide may be more proximal factors of acute or chronic negative changes in life circumstances.

PSYSCAN Consortium. ; In the last 2 decades, several neuroimaging studies investigated brain abnormalities associated with the early stages of psychosis in the hope that these could aid the prediction of onset and clinical outcome. Despite advancements in the field, neuroimaging has yet to deliver. This is in part explained by the use of univariate analytical techniques, small samples and lack of statistical power, lack of external validation of potential biomarkers, and lack of integration of nonimaging measures (eg, genetic, clinical, cognitive data). PSYSCAN is an international, longitudinal, multicenter study on the early stages of psychosis which uses machine learning techniques to analyze imaging, clinical, cognitive, and biological data with the aim of facilitating the prediction of psychosis onset and outcome. In this article, we provide an overview of the PSYSCAN protocol and we discuss benefits and methodological challenges of large multicenter studies that employ neuroimaging measures. ; The PSYSCAN Project is supported by grant agreement no. 603196 under the European Union's Seventh Framework Programme. ; Peer reviewed

PSYSCAN Consortium. ; In the last 2 decades, several neuroimaging studies investigated brain abnormalities associated with the early stages of psychosis in the hope that these could aid the prediction of onset and clinical outcome. Despite advancements in the field, neuroimaging has yet to deliver. This is in part explained by the use of univariate analytical techniques, small samples and lack of statistical power, lack of external validation of potential biomarkers, and lack of integration of nonimaging measures (eg, genetic, clinical, cognitive data). PSYSCAN is an international, longitudinal, multicenter study on the early stages of psychosis which uses machine learning techniques to analyze imaging, clinical, cognitive, and biological data with the aim of facilitating the prediction of psychosis onset and outcome. In this article, we provide an overview of the PSYSCAN protocol and we discuss benefits and methodological challenges of large multicenter studies that employ neuroimaging measures. ; The PSYSCAN Project is supported by grant agreement no. 603196 under the European Union's Seventh Framework Programme.