Abstract

This study investigates the neural correlates of gaming behavior using a multi-modal approach, incorporating Functional Near Infrared Spectroscopy (fNIRS), the Iowa Gambling Task (IGT), and AI methodologies. We examine patterns of brain activation during gaming tasks to elucidate cognitive processes underlying decision-making and risktaking behaviors. The integration of fNIRS and IGT offers insights into the neural mechanisms involved in gaming, while AI approaches provide sophisticated analyses for understanding complex neural data. Our findings shed light on the neurobiological basis of gaming behavior and may inform interventions for gaming-related disorders.