ICARUS Integrated Clinical-Computational Affective Research Unit 

Projects

Below is an indicative list of some of our ongoing projects:

Predicting real-life health behaviours during COVID-19 from the cognitive science of decision-making

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Real-life momentary intervention for misperceiving momentum

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Neural and physiological mechanisms of trauma memory and change mechanisms of trauma-focused intervention

Trauma experience and psychosis often co-occur. Symptoms of both conditions overlap, including trauma memory intrusions, negative appraisals of self/others, and hypervigilance to threat. With task-based functional MRI, physiological measures during scans and EMA, we are investigating the neural basis and daily symptom patterns associated with dual-diagnosed PTSD-psychosis.

The role of serotonin and dopamine in mood and reward-based decision-making

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The intersection of circadian and reward processes

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Tracking bipolar mood and decision-making longitudinally (BIMODAL)

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Neuro-computational approaches to mood instability and reward dysregulation

To investigate the recursive cycles by which mood biases reward perception, we combine Reinforcement Learning and Bayesian inference frameworks with smartphone-based cognitive tasks and monitoring. Utilises a smartphone app for the cognitive science of happiness (Happiness Project: https://www.fil.ion.ucl.ac.uk/news-item/new-app-designed-to-help-scientists-figure-out-what-determines-happiness-though-fun-games/), led by Robb Rutledge (Yale University) which has over 15,000 users and has already been adopted by many clinical studies worldwide.