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Bridging neuroscience and psychiatry: experimental and computational models of anxiety| old_uid | 14190 |
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| title | Bridging neuroscience and psychiatry: experimental and computational models of anxiety |
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| start_date | 2017/06/30 |
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| schedule | 12h |
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| online | no |
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| location_info | salle 01/02 |
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| details | Hosted by Jean Daunizeau |
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| summary | Neuroscience has little impact on treatment of anxiety disorders. A possible reason is that anxiety models in basic neuroscience are defined by specific animal behaviours and thus depart from psychiatric assessment based on patients' verbal reports: this represents both a species and a conceptual gap. In my talk, I will present two steps to bridge these gaps. The first is the creation of virtual reality experiments that elicit specific anxiety behaviours in humans. I will present data to support the validity of this cross-species translation, and examples for the development of novel pharmacological treatment strategies building on this approach. Next, I will present a more formal (decision-theoretic) framework to reconcile our understanding of various phenomena associated with anxiety. Non-human animal data tentatively suggest a control architecture that heavily relies on tailored algorithms for specific threat scenarios. I will present two examples for such algorithms in humans, in the context of learning to predict threat, and to control behavioural inhibition. I will highlight boundary conditions for the normativity of these behaviours and suggest possible neural implementations. |
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| responsibles | Oliviero |
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