Reactivation and abstraction of self-related social information during sleep

睡眠期间自我相关社交信息的重新激活和抽象

• 批准号: 517563428
• 负责人: Privatdozentin Dr. Susanne Diekelmann, Ph.D.
• 金额: --
• 依托单位: Klinik für Psychiatrie und Psychotherapie
• 依托单位国家: 德国
• 项目类别: Research Units
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/517563428?language=en
• 关键词: Reactivation; abstraction; self; related; social

The learning of social information from complex and highly dynamic social interactions is a central human capacity. To navigate the social environment, humans need to abstract information from others’ behaviors and adapt their own actions based on incoming feedback. Extracting the gist of self-related information from complex social processes thereby has an essential function in the regulation of social behavior. The overarching goal of this proposal is to study the functional role of reactivation during sleep for the abstraction of gist from self-related social information. We hypothesize that the reactivation of self-related information during sleep is a central mechanism for the abstraction of self-related beliefs. We further hypothesize that during learning negative information is encoded to a stronger degree, whereas during sleep more positive, and thus self-beneficial, information is reactivated and consequently abstracted. Thereby, sleep adaptively counteracts an otherwise negative dynamic. We will test these hypotheses in healthy humans (1) by decoding spontaneous reactivation of learning-related neural patterns during sleep with fMRI and (2) by externally manipulating reactivations during sleep with targeted memory reactivation (TMR). Finally, we will explore whether and how these processes differ in sub-clinical populations with a high risk for developing mental disorders (e.g., low scores in self-esteem). The findings of this project will deepen our understanding of sleep-based mechanisms in the abstraction of self-related information from social interactions and will open new avenues for sleep-based interventions in individuals showing maladaptive social information processing.

从复杂和高度动态的社会互动中学习社会信息是人类的核心能力。为了在社会环境中导航，人类需要从他人的行为中提取信息，并根据传入的反馈调整自己的行为。因此，从复杂的社会过程中提取自我相关信息的要点，在社会行为的调节中具有重要的功能。这个建议的首要目标是研究在睡眠期间的再激活的功能作用，从自我相关的社会信息中提取要点。我们假设，在睡眠中自我相关信息的重新激活是自我相关信念抽象化的一个中心机制。我们进一步假设，在学习过程中，负面信息被编码到一个更强的程度，而在睡眠过程中，更积极的，因此对自己有利的信息被重新激活，从而抽象。因此，睡眠自适应地抵消了否则负面的动态。我们将在健康人中测试这些假设：（1）通过功能磁共振成像解码睡眠期间学习相关神经模式的自发再激活;（2）通过靶向记忆再激活（TMR）在睡眠期间外部操纵再激活。最后，我们将探讨这些过程是否以及如何在具有发展精神障碍高风险的亚临床人群中有所不同（例如，自尊得分低）。该项目的研究结果将加深我们对从社会互动中提取自我相关信息的睡眠机制的理解，并将为表现出适应不良的社会信息处理的个体的睡眠干预开辟新的途径。