Xinke Shen

This study investigates the neural basis and validity of ordinal emotion representation using EEG data, showing it better captures emotional experiences than interval scales.

This study examines frequency-specific EEG microstate parameters in relation to anxiety and depression symptoms using a resting-state dataset, finding that alpha band microstates have stronger predictive power than broadband signals.

This study identifies EEG representations of multivariate emotion experience using inter-situation RSA, finding significant correlations in Alpha and Beta bands over frontal and parietal-occipital regions.