| Literature DB >> 32681315 |
M Justin Kim1, Alison M Mattek2, Jin Shin3.
Abstract
Humans routinely integrate affective information from multiple sources. For example, we rarely interpret an emotional facial expression devoid of context. In this paper, we describe the neural correlates of an affective computation that involves integrating multiple sources, by leveraging the ambiguity and subtle feature-based valence signals found in surprised faces. Using functional magnetic resonance imaging, participants reported the valence of surprised faces modulated by positive or negative sentences. Amygdala activity corresponded to the valence value assigned to each contextually modulated face, with greater activity reflecting more negative ratings. Amygdala activity did not track the valence of the faces or sentences per se. Moreover, the amygdala was functionally coupled with the nucleus accumbens only during face trials preceded by positive contextual cues. These data suggest 1) valence-related amygdala activity reflects the integrated valence values rather than the valence values of each individual component, and 2) amygdalostriatal coupling underpins positive but not negative coloring of ambiguous affect.Entities:
Keywords: Ambiguity; Amygdala; Context; Emotion; Feature; Valence
Year: 2020 PMID: 32681315 PMCID: PMC7501244 DOI: 10.3758/s13415-020-00812-6
Source DB: PubMed Journal: Cogn Affect Behav Neurosci ISSN: 1530-7026 Impact factor: 3.282