[WTI-trainee] Computational Psychiatry Seminar: Wednesday 5/22 at 1pm

Costeines, Jessica jessica.costeines at yale.edu
Mon May 13 12:03:34 EDT 2024


Hi there, can you please spread the message about this upcoming talk on 5/22 at 1pm at Wu Tsai?  Flyer is also attached.

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Speaker: Quentin Huys, PhD. Professor of Computational Psychiatry at the University College London

Date/Time: Wednesday May 22, 1-2pm

Hybrid talk:
100 College Street 11th floor, Room 1116
Zoom link: https://yale.zoom.us/j/93531624869

Title: Cognitive-computational mechanisms in psychotherapy

Abstract: Despite extensive research, the cognitive processes mediating the impact of psychotherapeutic interventions remain poorly understood, and as a result difficult to quantify. Identifying such mechanisms is likely to be extremely helpful: it could help target interventions better, could support dosing therapy through monitoring, and could heighten the speed at which new interventions can be developed. The challenge is to establish a clear link between high-level psychotherapeutic interventions and neurobiological processes. Computational neuroscience has established such links by combining computational models with behavioural tasks. The question I will approach in this talk is whether a similar approach might work for psychotherapy. I will describe a series of studies of increasing size attempting to address this. I will start with a pilot study showing initial evidence that specific cognitive process are selectively engaged by different interventions and relate to outcomes. We examined this in more detail in the lab, showing, that psychotherapeutically relevant interventions have identifiable and non-trivial effects on both behavioural assessments and self-report, and that different interventions have identifiably different, specific effects. This led us to run a randomized validation study in individuals with depressive symptoms, which partially replicated the lab findings.  The findings will be discussed with respect to challenges in developing brief, reliable, engaging, and user-acceptable measures of computationally specific cognitive processes. Overall, this outlines some new results in using computational methods to understand therapeutic processes in the psychotherapy for depression.




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