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Background: A more rewarding choice, even if it requires more effort, is usually preferred by individuals; yet, in some cases, individuals choose less profitable and less tiring options. This study explored the behavioral and electrophysiological (EEG) correlates of healthy adults performing a task, designed to investigate the decision-making process behind the selection of more effortful (but highly monetarily rewarding) and less effortful (but less monetarily rewarding) options. Methods: A sample of 20 healthy adults (mean age = 46.40) performed the decision-making task, while behavioral data and EEG frequency bands (delta, theta, alpha, and beta) were collected. The Maximization Scale (MS) was administered to evaluate individuals’ differences in the tendency to maximize their choices. Results: the results showed a general preference for selecting more compared to less effortful options, while no significant differences were obtained for the response times. Individuals who score higher on the MS High Standards subscale are more inclined to choose less effortful options; conversely, those with lower scores are more likely to choose a more effortful and rewarding option. However, no significant correlations were found between the behavioral data and the alternative search, or the decision difficulty subscales of the MS. EEG findings reported a significant interaction effect Choice × Electrode in delta, theta, alpha and beta bands. Specifically, the choice of less effortful options is associated with a higher increase in delta, theta, alpha, and beta band power in the right temporoparietal area (TP10) and by a lower activation of delta and theta in the contralateral site (TP9). The delta band decreased in left frontal area (AF7) during the task for the less versus more effortful options. Conclusions: Overall, despite more effortful and more monetarily rewarding options seeming to be the most rational ones to choose, less effortful choices are associated with specific

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.