## 1 Introduction
Nevertheless, self-report measures may not be the most suitable approach for achieving a full and deep understanding of decision-making processes, since they focus solely on the explicit and relatively conscious aspects of decision-making styles, which may be influenced by various factors, including social desirability. Moreover, the brain is influenced by environmental factors, which shape and modulate decision-making processes that determine our preferences, behaviors, actions, and emotions [2; 9; 10] Indeed, previous research evidenced how different decision-making choices are characterized by activation of the frontal area [8; 11; 12; 13]. Thus, a significantly different approach is represented by the neuroscientific perspective, which, by acknowledging the influence of environmental factors on the brain, permits the exploration of the explicit and implicit components of a decision-making process [8; 12; 14; 15]. To reach this aim, neuroscientific tools, such as electroencephalogram (EEG), offer insights into the brain's electrical activity, providing the assessment of cognitive load and mental effort involved in decision-making processes, and including the aspects of contextual and emotional processing [16; 17; 18]. This is achieved through the analysis of the functional significance of various frequency bands--delta, theta, alpha, beta, and gamma--which play complementary and specific roles. At a general level, greater activation in the low-frequency bands (theta and delta) could be associated with emotional processes [17], while the high-frequency bands are indices of cognitive effort, active attention, and engagement [18; 19]. Specifically, delta waves represent a pivotal component of information consolidation and implicit monitoring, contributing to the prior evaluation of stimuli [20]; they are also considered a correlate of attentional cognitive processes and explicit and declarative memory formation, in addition to emotional states [21; 22]. Theta frequency bands, on the other hand, facilitate working memory and cognitive conflict resolution, which are essential for choices requiring integration and control of action [21; 23] and act as a \"surprise signal\" to adapt behavior [24]. Instead, alpha waves have been shown to regulate selective attention and promote a relaxed state, allowing the individual to focus on the decisive elements of the task and inhibiting conflicting or unnecessary processes [25; 26]. Moreover, the beta band has been observed to increase in conjunction with heightened levels of attention and vigilance. This phenomenon is concomitant with the enhancement of strategic thinking and cognitive control, facilitating conscious, goal-based decision-making [27]. Finally, gamma activity has been associated with complex dynamics involving mental fatigue, sustained attention, vigilance, and higher cognitive performance [28; 29; 30]. Moreover, it has been related to a multilevel attentional control system which is capable of detecting changes in both low-level and high-level cognitive processes [31]. Gamma oscillations also modulate brain activity in synergy with other bands, dynamically adapting to the specific demands of decision-making. Furthermore, the integration of information from different cognitive areas is facilitated by gamma oscillations, which result in a unified and coherent representation of events. This process enables the brain to consolidate and retrieve information effectively, ensuring consistency in the processing and application of cognitive data, even in subsequent contexts [24]. Recognizing the gap in the literature and the added value provided by neuroscience, the present study aimed to explore, through a neuroscientific approach employing EEG, individual decisional strategies--Information-decisional strategy (I-ds), Task-decisional strategy (T-ds), and Situation-decisional strategy (S-ds)--related to a potential work situation (i.e., being late for an important meeting due to a technical malfunction in the rail system).