Leveraging Decision Science to Characterize Depression

D Mukherjee, C van Geen… - Current directions in …, 2023 - journals.sagepub.com
This brief review examines the potential to use decision science to objectively characterize
depression. We provide a brief overview of the existing literature examining different …

Reviewing explore/exploit decision-making as a transdiagnostic target for psychosis, depression, and anxiety

A Lloyd, JP Roiser, S Skeen, Z Freeman… - Cognitive, Affective, & …, 2024 - Springer
In many everyday decisions, individuals choose between trialling something novel or
something they know well. Deciding when to try a new option or stick with an option that is …

Individual differences in naturalistic learning link negative emotionality to the development of anxiety

WJ Villano, NI Kraus, TR Reneau, BA Jaso, AR Otto… - Science …, 2023 - science.org
Organisms learn from prediction errors (PEs) to predict the future. Laboratory studies using
small financial outcomes find that humans use PEs to update expectations and link …

Transdiagnostic inflexible learning dynamics explain deficits in depression and schizophrenia

H Kirschner, MR Nassar, AG Fischer, T Frodl… - Brain, 2024 - academic.oup.com
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 …

[HTML][HTML] The algorithmic agent perspective and computational neuropsychiatry: from etiology to advanced therapy in major depressive disorder

G Ruffini, F Castaldo, E Lopez-Sola, R Sanchez-Todo… - Entropy, 2024 - mdpi.com
Major Depressive Disorder (MDD) is a complex, heterogeneous condition affecting millions
worldwide. Computational neuropsychiatry offers potential breakthroughs through the …

[HTML][HTML] Anhedonia and sensitivity to punishment in schizophrenia, depression and opiate use disorder

P Ossola, N Garrett, L Biso, A Bishara… - Journal of Affective …, 2023 - Elsevier
Background From a behavioural perspective anhedonia is defined as diminished interest in
the engagement of pleasurable activities. Despite its presence across a range of psychiatric …

Comparing experience-and description-based economic preferences across 11 countries

H Anlló, S Bavard, FE Benmarrakchi… - Nature Human …, 2024 - nature.com
Recent evidence indicates that reward value encoding in humans is highly context
dependent, leading to suboptimal decisions in some cases, but whether this computational …

Comparing the test-retest reliability of behavioral, computational and self-reported individual measures of reward and punishment sensitivity in relation to mental …

The field of computational psychiatry advocates for the use of behavioral task-derived
computational measures to improve our understanding, diagnosis and treatment of …

The neuroscience of mental illness: Building toward the future

JA Gordon, K Dzirasa, FH Petzschner - Cell, 2024 - cell.com
Mental illnesses arise from dysfunction in the brain. Although numerous extraneural factors
influence these illnesses, ultimately, it is the science of the brain that will lead to novel …

A scoping review on self-regulation and reward processing measured with gambling tasks: Evidence from the general youth population

F Bentivegna, E Papachristou, E Flouri - Plos one, 2024 - journals.plos.org
Aberrant reward processing and poor self-regulation have a crucial role in the development
of several adverse outcomes in youth, including mental health disorders and risky …