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Neural signals in amygdala predict implicit prejudice toward an ethnic outgroup

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ABSTRACT Racial and ethnic prejudice is one of the most pressing problems in modern societies. Although previous social neuroscience research has suggested the amygdala as a key structure in racial… Click to show full abstract

ABSTRACT Racial and ethnic prejudice is one of the most pressing problems in modern societies. Although previous social neuroscience research has suggested the amygdala as a key structure in racial prejudice, it still remains elusive whether the amygdala activity reflects negative attitudes toward an outgroup or other unrelated processes. The present study aims to rigorously test the role of the amygdala in negative prejudice toward an outgroup. Seventy Japanese individuals passively viewed images related to an ethnic outgroup (South Korea) inside a functional magnetic resonance imaging scanner. Using Multi‐Voxel Pattern Analysis (MVPA), we found that Japanese individuals' level of implicit (but not explicit) evaluations of South Korea could be predicted from neural signals in the left amygdala. Our result further suggested that the medial and lateral parts of amygdala play different roles in implicit evaluations. In contrast to the MVPA findings, conventional univariate analyses failed to find any reliable relationship between brain activation and both implicit and explicit evaluations. Our findings provide evidence for the amygdala's role in representing an implicit form of prejudice and highlight the utility of the multivariate approach to reveal neural signatures of this complex social phenomenon. HIGHLIGHTSAmygdala is considered as a candidate region involved in negative prejudice.However, past neuroimaging studies on prejudice have generated mixed findings.We investigated the neural signatures of ethnic prejudice using MVPA.Our results demonstrated the link between left amygdala and implicit evaluations.

Keywords: signals amygdala; ethnic outgroup; prejudice toward; prejudice; outgroup; neural signals

Journal Title: NeuroImage
Year Published: 2019

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