Online game playing has become popular entertainment, yet its relationship with individuals' multitasking ability was inconsistent. Types of online game genre so far have not been compared and may be associated with multitasking abilities. This study proposed to explore the relationships between types of online game playing and multitasking ability, using Edinburgh Virtual Errands Test (EVET). One hundred and sixteen participants playing different online game genres, including multiplayer online battle arena (MOBA), other online game playing, and no-online game playing were compared. Each participant was required to fill in Chen's Internet Addiction Scale and the Internet Usage Questionnaire and perform EVET and working memory tests. The results showed a positive correlation between multitasking ability and working memory. In addition, a positive association was found between MOBA-type gaming and multitasking abilities measured by EVET. In conclusion, MOBA-type gaming compared with other game playing is associated with better multitasking abilities in a virtual environment.

Multitasking is a fundamental aspect of everyday life activities. To achieve a complex, multi-component goal, the tasks must be subdivided into sub-tasks and component steps, a critical function of prefrontal networks. The prefrontal cortex is considered to be organized in a cascade of executive processes from the sensorimotor to anterior prefrontal cortex, which includes execution of specific goal-directed action, to encoding and maintaining task rules, and finally monitoring distal goals. In the current study, we used a virtual multitasking paradigm to tap into real-world performance and relate it to each individual's resting-state functional connectivity in fMRI. While did not find any correlation between global connectivity of any of the major networks with multitasking ability, global connectivity of the lateral prefrontal cortex (LPFC) was predictive of multitasking ability. Further analysis showed that multivariate connectivity patterns within the sensorimotor network (SMN), and between-network connectivity of the frontoparietal network (FPN) and dorsal attention network (DAN), predicted individual multitasking ability and could be generalized to novel individuals. Together, these results support previous research that prefrontal networks underlie multitasking abilities and show that connectivity patterns in the cascade of prefrontal networks may explain individual differences in performance.