EEG responses to facial attractiveness, with ERP cluster analysis and MVPA classification

EEG data was recorded while 80 participants viewed 240 images of faces with varying levels of attractiveness. Participants indicated a subjective attractiveness rating following each image. These ratings were used to create subsets of the 10% highest, 10% lowest, and 10% middlemost rated images on the participant level. We performed cluster based ERP analyses (script included) and MVPA classification based on the whole scalp 3 second EEG patterns (script included).