Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2013 Feb 1;24(2):160-6.
doi: 10.1177/0956797612451465. Epub 2013 Jan 8.

Implicit race bias decreases the similarity of neural representations of black and white faces

Affiliations

Implicit race bias decreases the similarity of neural representations of black and white faces

Tobias Brosch et al. Psychol Sci. .

Abstract

Implicit race bias has been shown to affect decisions and behaviors. It may also change perceptual experience by increasing perceived differences between social groups. We investigated how this phenomenon may be expressed at the neural level by testing whether the distributed blood-oxygenation-level-dependent (BOLD) patterns representing Black and White faces are more dissimilar in participants with higher implicit race bias. We used multivoxel pattern analysis to predict the race of faces participants were viewing. We successfully predicted the race of the faces on the basis of BOLD activation patterns in early occipital visual cortex, occipital face area, and fusiform face area (FFA). Whereas BOLD activation patterns in early visual regions, likely reflecting different perceptual features, allowed successful prediction for all participants, successful prediction on the basis of BOLD activation patterns in FFA, a high-level face-processing region, was restricted to participants with high pro-White bias. These findings suggest that stronger implicit pro-White bias decreases the similarity of neural representations of Black and White faces.

PubMed Disclaimer

Conflict of interest statement

Declaration of Conflicting Interests

The authors declared that they had no conflicts of interest with respect to their authorship or the publication of this article.

Figures

Fig. 1
Fig. 1
Classification performance for Black and White faces in the regions of interest. Error bars represent ±1 SE. The brain images illustrate the location of the three regions in which classification was significantly better than chance (p < .05). OP = occipital pole; OFA = occipital face area; FFA = fusiform face area; AMY = amygdala; STS = superior temporal sulcus; CAUD = caudate; IFG = inferior frontal gyrus; INS = insula; OFC = orbitofrontal cortex.
Fig. 2
Fig. 2
Link between implicit pro-White bias and ability of the classifier to predict the race of faces participants were viewing. The scatter plot (a) presents implicit bias as a function of correct classification performance in fusiform face area (FFA); the best-fitting regression line is also shown, β = 0.61, p = .025. The bar graph (b) shows correct classification performance in occipital pole (OP), occipital face area (OFA), and FFA separately for participants with low and high scores on the Implicit Association Test (IAT), as determined by a median split. Error bars indicate ±1 SE. The asterisk indicates a significant difference between groups (p < .05).

References

    1. Bruce V, Young A. Understanding face recognition. British Journal of Psychology. 1986;77:305–327. - PubMed
    1. Cunningham WA, Johnson MK, Raye CL, Gatenby JC, Gore JC, Banaji MR. Separable neural components in the processing of Black and White faces. Psychological Science. 2004;15:806–813. - PubMed
    1. Dotsch R, Wigboldus DH, Langner O, van Knippenberg A. Ethnic out-group faces are biased in the prejudiced mind. Psychological Science. 2008;19:978–980. - PubMed
    1. Eberhardt JL, Dasgupta N, Banaszynski TL. Believing is seeing: The effects of racial labels and implicit beliefs on face perception. Personality and Social Psychology Bulletin. 2003;29:360–370. - PubMed
    1. Gazzaniga MS. The law and neuroscience. Neuron. 2008;60:412–415. - PubMed

Publication types

LinkOut - more resources