Regulating Emotional Responses to Spoken Comments and Visual Images Across the Affective Instability Spectrum: An fMRI Study

项目摘要 情感上的痛苦、厌恶或痛苦的经历是日常生活的一部分 经验。情绪韧性的关键是自愿调节自己的 对这种经历的情绪反应。然而，有些人却有困难。 调节他们的情绪反应，并且容易受到突然的、极端的情绪的影响 国家，特别是在应对人际关系事件时。此漏洞称为 情感不稳定(AI)，是边缘性人格障碍(BPD)的典型，但 在一系列精神障碍中发现，并普遍存在，发生在大约14%的 人口数量。情感不稳定背后的机制还不是很清楚， 但有证据表明，健康的人使用适应性情绪调节策略 患有BPD和其他以以下特征为特征的疾病的人是受损的 情绪不稳定，以及通常支持这些调节的大脑回路 战略是失灵的。这项研究旨在确定在多大程度上 情绪调节策略，认知重新评估和注意力分散，是 在不同程度的人工智能的个体中都存在功能障碍。它将使用 功能神经成像(FMRI)评估潜在大脑回路的功能 这些监管策略都得到了实施。除了研究人工智能之外， 除了精神障碍，这项研究还将重点研究口语情绪是如何调节的。 到目前为止，认知再评价和注意力分散的策略是 检查它们如何调节通过静止图片传达的情绪，而不是情绪 通过针对主题的言语来传达的，然而口语是最多的 人际交往中情感沟通的重要渠道 因此，与人工智能特别相关。本研究将解决这一知识差距问题。 为了实现这些目标，该项目将收集行为、生理和功能 成像(FMRI)数据作为对象，跨越整个人工智能范围，使用认知 重新评估和注意力分散以下调他们对负面反应的反应 情绪暗示和认知再评价可以提升他们对积极暗示的反应。 同样的受试者会将这些策略应用于通过图片和 说出来的话。我们将检查大脑感兴趣的区域和功能的激活 与情绪调节有关的连接回路，以及皮肤电导和 除行为反应外，还有瞳孔扩张反应。

Project Abstract Emotionally distressing, aversive or painful experiences are a part of everyday life experience. Crucial to emotional resilience is the capacity to voluntarily regulate one’s emotional reaction to such experiences. Some people, however, have difficulty modulating their emotional reactions and are subject to sudden, extreme emotional states, especially in response to interpersonal events. This vulnerability, referred to as affective instability (AI), is prototypic of borderline personality disorder (BPD), but is found across a range of psychiatric disorders, and is prevalent, occuring in about 14% of the population. The mechanisms underlying affective instability are not well understood, but there is evidence that adaptive emotion regulation strategies used by healthy individuals are impaired in those with BPD and other disorders characterized by affective instability, and that the brain circuits that typically support these regulation strategies are dysfunctional. This study is designed to determine the extent to which two emotion regulation strategies, cognitive reapprasial and attentional distraction, are dysfunctional across a spectrum of individuals with varying degrees of AI. It will use functional neuroimaging (fMRI) to assess the functioning of underlying brain circuits as these regulation strategies are implemented. In addition to studying AI across a spectrum of disorders, this study will also focus on how spoken emotion is regulated. To date, the strategies of cognitive reappraisal and attentional distraction have been examined as they modulate emotion conveyed via still pictures, but not emotion conveyed by speech directed at the subject, yet the spoken word is one of the most important channels of emotional communication in interpersonal interaction and therefore particularly relevant to AI. The present study will address this knowledge gap. To achieve these aims this project will collect behavioral, physiologic, and functional imagng (fMRI) data as subjects, spanning the full range of AI, employ cognitive reapprasial and attentional distraction to down-regulate their responses to negative emotional cues and cogntive reappraisal to upregulate their responses to positive cues. The same subjects will apply these strategies to emotion presented via both pictures and the spoken word. We will examine activation of brain regions of interest and functionally connected circuits implicated in emotion regulation, as well as skin conductance and pupillary dilation responses, in addition to behavioral responses.