Introduction: Emotions influence human behavior and can be observed through changes in brain waves. The correlation of variables such as personality and decision-making with EEG patterns could contribute to new perspectivesf—for example, in job selection processes—aiming to find the most adequate profile for a given company role. The main aim of this work is to explore the interplay between brain responses and individual personality traits.

Methods: EEG signals were collected while participants completed DISC assessment questionnaires. The band power in the theta, alpha, beta, and delta bands was calculated and correlated with DISC profile (dominance, influence, steadiness, and conscientiousness) scores. A cohort of 12 participants, with an average age of 21.2 years, was used.

Results: Obtained results indicate that brain activity, especially in the alpha band, shows a correlation with emotional anxiety and was inversely correlated with dominance traits. Alpha wave variability was also observed in closed eye (CE) and open eye (OE) conditions among participants.

Conclusion: In this study, correlations of EEG band patterns were identified for specific DISC profile patterns. The supression of alpha waves was more correlated with the dominance profile, which showed the highest correlation values. These findings could have practical implications for job selection processes, especially for leadership roles. Future research will involve expanding the participant cohort to validate and refine these findings further.