Abstract
Mental health and illness are highly overlapping and highly dynamic
processes. However, we have little understanding of how the transitions from
one state to the other occur, what stabilizes them, and how therapy
influences this. This project will examine the contribution of cognition
using methods from computational psychiatry. It will involve first building a
smartphone app to sample emotions and cognitions multiple times over days to
weeks, and then building state-of-the-art computational models both of the
dynamics and of the cognitive tasks. It has the potential to give us a useful
insight into how to stabilize healthy and destabilize ill states that could
have clinical applications.
References
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– 3) Ijaz et al. (2018): Psychological therapies for treatment-resistant depression in adults. The Cochrane database of systematic reviews, 5:CD010558
– 4) Rutledge et al. (2017): Association of Neural and Emotional Impacts of Reward Prediction Errors With Major Depression. JAMA psychiatry, 74:790-797