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默认模式网络在离散情绪中的作用。

The Default Mode Network's Role in Discrete Emotion.

机构信息

Department of Psychology, Northeastern University, Boston, MA, USA.

Department of Psychology and Neuroscience, University of North Carolina, Chapel Hill, NC, USA.

出版信息

Trends Cogn Sci. 2019 Oct;23(10):851-864. doi: 10.1016/j.tics.2019.07.003. Epub 2019 Aug 16.

Abstract

Emotions are often assumed to manifest in subcortical limbic and brainstem structures. While these areas are clearly important for representing affect (e.g., valence and arousal), we propose that the default mode network (DMN) is additionally important for constructing discrete emotional experiences (of anger, fear, disgust, etc.). Findings from neuroimaging studies, invasive electrical stimulation studies, and lesion studies support this proposal. Importantly, our framework builds on a constructionist theory of emotion to explain how instances involving diverse physiological and behavioral patterns can be conceptualized as belonging to the same emotion category. We argue that this ability requires abstraction (from concrete features to broad mental categories), which the DMN is well positioned to support, and we make novel predictions from our proposed framework.

摘要

情绪通常被认为表现在皮质下边缘和脑干结构中。虽然这些区域显然对代表情感(例如,效价和唤醒)很重要,但我们提出默认模式网络(DMN)对于构建离散的情感体验(如愤怒、恐惧、厌恶等)也很重要。神经影像学研究、侵袭性电刺激研究和病变研究的结果支持了这一观点。重要的是,我们的框架基于情感的建构主义理论来解释如何将涉及不同生理和行为模式的实例概念化为属于同一情感类别。我们认为,这种能力需要抽象(从具体特征到广泛的心理类别),而 DMN 非常适合支持这种抽象,并且我们从我们提出的框架中提出了新的预测。

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