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Now showing items 11-20 of 33
Negative bias in interpretation and facial expression recognition in late life depression: A case control study.
(2021-04)
While cognitive bias in younger adults with depression has been extensively researched, there have been relatively few investigations of the presence of cognitive bias in late life depression (LLD). This exploratory study ...
An Experimental Medicine Investigation of the Effects of Subacute Pramipexole Treatment on Emotional Information Processing in Healthy Volunteers
(2021-08)
Treatment with the dopamine D2/D3 receptor agonist pramipexole has demonstrated
promising clinical effects in patients with depression. However, the mechanisms through which
pramipexole might alleviate depressive symptoms ...
A Computational View on the Nature of Reward and Value in Anhedonia
(2021-08)
Anhedonia—a common feature of depression—encompasses a reduction in the subjective experience and anticipation of rewarding events, and a reduction in the motivation to seek out such events. The presence of anhedonia
often ...
An Experimental Medicine Investigation of the Effects of Subacute Pramipexole Treatment on Emotional Information Processing in Healthy Volunteers
(2021-08)
Treatment with the dopamine D2/D3 receptor agonist pramipexole has demonstrated
promising clinical effects in patients with depression. However, the mechanisms through which
pramipexole might alleviate depressive symptoms ...
When Helping is Risky: Behavioral and Neurobiological Mechanisms of Prosocial Decisions Entailing Risk.
(2020-03)
Helping others can entail risks. Doctors that treat infectious patients may risk their own health, intervening in a fight can lead to injury, and organ donations can lead to medical complications. When helping others comes ...
Stimulating human prefrontal cortex increases reward learning
(2021-01)
Work in computational psychiatry suggests that mood disorders may stem from aberrant
reinforcement learning processes. Specifically, it is proposed that depressed individuals believe
that negative events are more informative ...
Advances in the computational understanding of mental illness
(2020-07)
Computational psychiatry is a rapidly growing field attempting to translate advances in computational neuroscience and machine learning into improved outcomes for patients suffering from mental illness. It encompasses both ...
Predicting treatment response in depression: the role of anterior cingulate cortex
(2018)
Background:
Identification of biomarkers predicting therapeutic outcome to antidepressant treatment is one of the most important tasks in current research because it may transform the lengthy process of finding the right ...
Inducing Affective Learning Biases with Cognitive Training and Prefrontal tDCS: A Proof-of-Concept Study
(2020-10)
Cognitive models of mood disorders emphasize a causal role of negative affective biases in depression. Computational work suggests that these biases may stem from a belief that negative events have a higher information ...
Pramipexole Enhances Reward Learning by Preserving Value Estimates
(2022-01)
Background: Dopamine D2-like receptor agonists show promise as treatments for depression. They are
thought to act by altering how individuals learn from rewarding experiences. However, the nature of these
reward learning ...