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Sleep to be social: Sleep-dependent processing of social information about the self and others

Subject Area Social Psychology, Industrial and Organisational Psychology
Human Cognitive and Systems Neuroscience
Term from 2019 to 2023
Project identifier Deutsche Forschungsgemeinschaft (DFG) - Project number 420599815
 
Final Report Year 2024

Final Report Abstract

Social information is highly dynamic and complex. The capacity to navigate the social environment successfully strongly depends on the ability to reduce this complexity and abstract gist-like information from social interactions, making social information particularly well-suited for studying sleep-associated consolidation processes. In the present projects, we aimed to examine the role of sleep compared with wakefulness in the learning and abstraction of new self-related information. We used external cued reactivation during sleep to manipulate sleep-dependent abstraction processes of this material and sought to characterize the neurocomputational processes underlying social gist abstraction during sleep. Unfortunately, several planned projects, especially those involving direct social interactions, were not feasible during the COVID-19 pandemic due to repeated lockdowns and social distancing restrictions. However, we were able to implement the novel social learning task in more than six studies, involving sleep/wake comparisons, targeted memory reactivation, long-term effects of self-belief formation, computational modelling of learning processes, functional magnetic resonance imaging, pupil data, and translation into a clinical sample. While participants displayed a negativity bias during learning, which was associated with affective states, pupil dilation, and neural activity within the anterior insula, amygdala, ventral tegmental area/substantia nigra, and mPFC, we found that higher overall sleep time correlated with more positive updating. In a clinical study, although without direct sleep manipulation, we found that a higher symptom burden was associated with forming more negative self-beliefs and more positive beliefs about others. This bias was driven by reduced learning from positive prediction errors in depression. Overall, we successfully implemented the task design into a sleep/wake context and established routines to use the learning task in a neuroimaging environment, also with the potential to examine patients with clinical diagnoses. Our studies continue, now in part funded by our own budget, and we are optimistic to reach our goals within the next years.

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