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

项目摘要 令人沮丧、厌恶或痛苦的经历是日常生活的一部分 体验.情绪恢复力的关键是自愿调节自己情绪的能力。 对这种经历的情绪反应。然而，有些人很难 调节他们的情绪反应，并受到突然的，极端的情绪 特别是在人际关系方面。此漏洞称为 情感不稳定（AI）是边缘型人格障碍（BPD）的原型，但 在一系列精神疾病中发现，并且很普遍，发生在大约14%的 人口。情感不稳定的潜在机制还不清楚， 但有证据表明，健康人使用的适应性情绪调节策略， BPD患者和其他特征为 情感的不稳定性，以及通常支持这些调节的大脑回路， 战略是不正常的。这项研究旨在确定两个人在多大程度上 情绪调节策略，认知再评估和注意力分散，是 在不同程度的人工智能个体中，它将使用 功能性神经成像（fMRI），以评估潜在的大脑回路的功能， 实施这些监管策略。除了研究AI， 除了一系列的疾病之外，这项研究还将关注口语情绪是如何调节的。 到目前为止，认知重新评价和注意力分散的策略已经被 当它们调节通过静止图片传达的情感时， ”这句话是对着说话的人说的，但说话的人是最重要的。 人际交往中情感交流的重要渠道， 这与AI特别相关。本研究将解决这一知识差距。 为了实现这些目标，该项目将收集行为，生理和功能 成像（fMRI）数据作为主题，涵盖了人工智能的全部范围，采用认知 重新评估和注意力分散，以下调他们对消极的反应， 情绪线索和认知重新评价来上调他们对积极线索的反应。 同样的受试者将这些策略应用于通过图片和 说出的话我们将研究大脑感兴趣区域的激活， 与情绪调节有关的连接电路，以及皮肤电导， 瞳孔扩张反应，以及行为反应。

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.