Frequency-tagged EEG reveals category-selective responses to face race

Area of Science:

• Neuroscience
• Social Psychology
• Cognitive Science

Background:

• Racial categorization from faces is rapid and salient.
• Electrophysiological evidence on racial encoding is contradictory.
• Existing methods for studying neural face categorization have limitations.

Purpose of the Study:

• To investigate the electrophysiological encoding of racial-category information using fast periodic visual stimulation (FPVS).
• To clarify the influence of race on neural face categorization.
• To explore how face inversion affects neural responses to same- and other-race faces.

Main Methods:

• Employed fast periodic visual stimulation (FPVS), an objective and implicit neuroimaging technique.
• Experiment 1: Participants viewed streams of same- or other-race faces with periodic oddball faces.
• Experiment 2: Manipulated face orientation (upright/inverted) and context (face/object streams).

Main Results:

• FPVS did not detect race discrimination responses in Experiment 1.
• Neural face categorization responses were above noise level for both same- and other-race faces in Experiment 2.
• Face inversion selectively reduced neural responses to same-race faces, enhancing responses to other-race faces.

Conclusions:

• Racial-category information is robustly indexed by FPVS.
• Face inversion effects suggest visual expertise modulates neural responses to racial categories.
• FPVS is a valuable tool for studying social vision and neural face categorization.