Crivelli, D., Acconito, C., & Balconi, M. (2024).
Brain sciences, 14(7), 734.
Abstract
Studies on decision-making have classically focused exclusively on its cognitive component. Recent research has shown that a further essential component of decisional processes is the emotional one. Indeed, the emotional route in decision-making plays a crucial role, especially in situations characterized by ambiguity, uncertainty, and risk. Despite that, individual differences concerning such components and their associations with individual traits, decisional styles, and psychophysiological profiles are still understudied. This pilot study aimed at investigating the relationship between individual propensity toward using an emotional or cognitive information-processing route in decision-making, EEG and autonomic correlates of the decisional performance as collected via wearable non-invasive devices, and individual personality and decisional traits. Participants completed a novel task based on realistic decisional scenarios while their physiological activity (EEG and autonomic indices) was monitored. Self-report questionnaires were used to collect data on personality traits, individual differences, and decisional styles. Data analyses highlighted two main findings. Firstly, different personality traits and decisional styles showed significant and specific correlations, with an individual propensity toward either emotional or cognitive information processing for decision-making. Secondly, task-related EEG and autonomic measures presented a specific and distinct correlation pattern with different decisional styles, maximization traits, and personality traits, suggesting different latent profiles.
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This research is critically important to practicing psychologists as it provides a more holistic and physiologically-grounded framework for understanding and assessing decision-making in real-world contexts. By demonstrating how specific personality traits and decision-making styles are linked to measurable psychophysiological markers—such as theta and beta EEG activity and heart rate variability—the study equips clinicians with objective biomarkers that can complement traditional self-report assessments. This integration allows for a more nuanced evaluation of clients' decision-making processes, which are often central to therapeutic outcomes in areas such as stress management, impulse control, and adaptive behavior change.
Furthermore, the findings validate the dual role of emotional and cognitive routes in decision-making, emphasizing that effective emotional regulation and mindfulness traits are associated with a balanced decision-making style. For psychologists, this underscores the importance of interventions that enhance emotional awareness and cognitive flexibility, particularly for clients who exhibit avoidant or dependent decision-making patterns. The use of wearable, non-invasive devices in the study also highlights the growing potential for incorporating accessible neurofeedback and biofeedback tools into therapeutic practice, enabling more personalized and evidence-based approaches to fostering healthier decision-making habits in everyday life.
