Computational psychiatry is a rapidly growing field attempting to translate advances in
computational neuroscience and machine learning into improved outcomes for patients …

Anhedonia is one of the core symptoms of major depressive disorder (MDD), which is often
inadequately treated by traditional antidepressants. The modern framework of anhedonia …

Importance Computational psychiatry studies have investigated how reinforcement learning
may be different in individuals with mood and anxiety disorders compared with control …

Anhedonia, a lack of pleasure in things an individual once enjoyed, and rumination, the
process of perseverative and repetitive attention to specific thoughts, are hallmark features …

Depression has been associated with impaired reward and punishment processing, but the
specific nature of these deficits is still widely debated. We analyzed reinforcement-based …

Alterations in belief updating are proposed to underpin symptoms of psychiatric illness,
including psychosis, depression, and anxiety. Key parameters underlying belief updating …

The inability to experience pleasure or interest in activities (commonly referred to in clinical
settings as anhedonia) is characteristic of depression, anxiety, post-traumatic stress disorder …

Deficits in reward learning are core symptoms across many mental disorders. Recent work
suggests that such learning impairments arise by a diminished ability to use reward history …

Effective psychotherapies for late-life depression are underutilized, mainly because of their
complexity.“Engage” is a novel, streamlined psychotherapy that relies on neurobiology to …

Background Stress is a major risk factor for depression, and both are associated with
important changes in decision-making patterns. However, decades of research have only …