What is it about?
The study found that patients with schizophrenia, bipolar disorder and schizoaffective disorder showed impaired performance on the probabilistic reversal learning task, particularly in the ability to exploit rewards and learn from feedback.
Featured Image
Photo by Esteban López on Unsplash
Why is it important?
The study challenges the Kraepelinian dichotomy and suggests that reward learning deficits are common across both affective and nonaffective psychoses, highlighting the importance of transdiagnostic approaches in research.
Perspectives
This collaboration across five laboratories reflects a neurocomputational approach to psychopathology
Angus MacDonald
University of Minnesota Twin Cities
Read the Original
This page is a summary of: Computational modeling of reversal learning impairments in schizophrenia and bipolar disorder reveals shared failure to exploit rewards., Journal of Psychopathology and Clinical Science, March 2025, American Psychological Association (APA),
DOI: 10.1037/abn0000944.
You can read the full text:
Contributors
The following have contributed to this page
