Computational approaches hold great promise for identifying novel treatment targets and
creating translational therapeutics for substance use disorders. From circuitries underlying …

Computational phenotyping has emerged as a powerful tool for characterizing individual
variability across a variety of cognitive domains. An individual's computational phenotype is …

Suicide is a pressing public health issue, with over 700,000 individuals dying each year.
Ketamine has emerged as a promising treatment for suicidal thoughts and behaviors (STBs) …

Response inhibition, the intentional stopping of planned or initiated actions, is often
considered a key facet of control, impulsivity, and self-regulation. The stop signal task is …

Metacognitive biases have been repeatedly associated with transdiagnostic psychiatric
dimensions of 'anxious-depression'and 'compulsivity and intrusive thought', cross …

Cognitive functions and psychopathology develop in parallel in childhood and adolescence,
but the temporal dynamics of their associations are poorly understood. The present study …

Many psychotherapy interventions have a large evidence base and can help a substantial
number of people with psychiatric symptoms. However, we still have little understanding of …

Computational Psychopathology is an emerging discipline, which is based around the
theoretical and mechanistic focus of explanatory psychopathology and computational …

The field of psychiatry is facing an important paradigm shift in the provision of clinical care
and mental health service organization toward personalization and integration of multimodal …

Bayesian inference suggests that perception is inferred from a weighted integration of prior
contextual beliefs with current sensory evidence (likelihood) about the world around us. The …