Understanding individual variability in affective neural responses is crucial for personalized applications in affective computing and neurofeedback. This study investigates such variability using EEG signals collected while viewing short affective videos. Data from the MAHNOB-HCI database were analyzed, comprising EEG signals from 30 participants (17 female, 13 male). Each participant viewed a series of short videos, during which EEG and ECG signals were recorded. Power Spectral Density (PSD) Analysis focused on EEG spectral bands (delta, theta, alpha, beta) during stable states (30 s pre-video) and video-watching states (30 s during video), explores how these responses vary across individuals. Our findings reveal a significant pattern of increment and decrement in power across all frequency bands during the video-watching state compared to the stable state. These patterns are different for all short videos. Significant differences in neural responses were observed, indicating diverse emotional engagement profiles. This research contributes to the understanding of individualized neural correlates of affective processing, providing insights into potential applications in affective computing and personalized neurofeedback interventions.