The network approach to psychopathology posits that mental disorders can be
conceptualized and studied as causal systems of mutually reinforcing symptoms. This …

Mental illnesses, such as depression, are highly prevalent and have been shown to impact
an individual's physical health. Recently, artificial intelligence (AI) methods have been …

Importance Detection, prognosis, and indicated interventions in individuals at clinical high
risk for psychosis (CHR-P) are key components of preventive psychiatry. Objective To …

The “at risk mental state” for psychosis approach has been a catalytic, highly productive
research paradigm over the last 25 years. In this paper we review that paradigm and …

For decades the development of evidence-based therapy has been based on experimental
tests of protocols designed to impact psychiatric syndromes. As this paradigm weakens, a …

All life requires the capacity to recover from challenges that are as inevitable as they are
unpredictable. Understanding this resilience is essential for managing the health of humans …

Psychotic experiences (PE) are common in the general population, in particular in
childhood, adolescence and young adulthood. PE have been shown to be associated with …

Few clinical scientists would disagree that more research is needed on the underlying
mechanisms and processes of change in psychological therapies. In the dominant current …

Abstract Machine and deep learning methods, today's core of artificial intelligence, have
been applied with increasing success and impact in many commercial and research …

Why has computational psychiatry yet to influence routine clinical practice? One reason may
be that it has neglected context and temporal dynamics in the models of certain mental …