Aistis Stankevicius MRes

Aistis Stankevicius


Research Interests

I am interested in using a combination of experimental (behavioural paradigms, functional magnetic resonance imaging) and theoretical (reinforcement learning and Bayesian models) approaches to address the problem of formalisation and quantification of brain function abnormalities caused by major depressive disorder (MDD) and other psychiatric conditions. I investigate computational models based on current understanding of neurophysiological mechanisms underpinning normal patterns of expected reward processing, and disturbed patterns associated with psychiatric disorders. The aim of my project is to develop a better understanding of reward processing mechanisms (e.g. related to anhedonia in patients with MDD) in both healthy people and psychiatric patients, which will furnish important perspectives and conceptual constraints to guide future research in attempts to understand the neurobiological origins of psychiatric disorders, and could improve speed and effectiveness of therapeutic interventions.

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