Efference information flow during skill acquisition mediate its interaction with medical simulation technology

Abstract

AbstractDespite substantial progress towards establishing virtual reality (VR) simulators as a replacement for physical ones for skill training, its effect on the brain network during skill acquisition has not been well addressed. In this study, we employed portable optical neuroimaging technology and Granger causality approach to uncover the impact of the two medical simulation technologies on the directed functional brain network of the subjects with two different skill levels. The mobile brain-behavior relantionship was evaluated using functional near-infrared spectroscopy (fNIRS) while right-handed subjects performed well-established fundamentals of laparoscopic surgery (FLS) pattern cutting task. A multiple regression path analysis found that the cognitive-action information flow from the right prefrontal cortex to the supplementary motor area statistically significantly predicted the FLS task performance. Here, the skill level (expert vs novice) affected the cognitive-action information flow from the right prefrontal cortex and the efference copy information flow from the left primary motor cortex via supplementary motor area as hub to the cognitive-perception at the left prefrontal cortex, i.e., the action-preception link. The simulation technology (physical vs VR simulator) affected solely the cognitive-action information flow from the right prefrontal cortex to the left primary motor cortex; however, the interaction between the medical simulation technology) and the skill level affected the efference information flow from the left primary motor cortex to the right prefrontal cortex and from the supplementary motor area to the left prefrontal cortex. These discriminative findings are crucial since our VR simulator had face and construct validity. Therefore, our study highlighted the importance of efference information flow within the framework of the perception-action cycle when comparing medical simulation technology for visuomotor skill acquisition.