论文标题
基于FNIRS的大脑连接组的专业知识和任务压力
Expertise and Task Pressure in fNIRS-based brain Connectomes
论文作者
论文摘要
在从机器人远程手术到手术的几种应用中,对双人运动技能的获取至关重要,与旷日持久的学习曲线有关。基于功能性近红外光谱(FNIRS)数据的大脑连通性显示出了有希望的结果,可以将专家与新手外科医生区分开。但是,不太了解大脑连通性中与专业知识相关的差异如何受到手术任务中经历的动态时间需求的调节。在这项研究中,我们使用FNIRS检查额叶和运动大脑区域之间的相互作用,这些外科手术居民在时间需求下执行腹腔镜外科手术任务的各种专业知识。结果表明,高级居民的前额叶运动连通性对时间压力更具弹性。此外,脑连接组的某些全球特征(例如小世界指数)可用于检测潜在的应激源的存在。
Acquisition of bimanual motor skills, critical in several applications ranging from robotic teleoperations to surgery, is associated with a protracted learning curve. Brain connectivity based on functional Near Infrared Spectroscopy (fNIRS) data has shown promising results in distinguishing experts from novice surgeons. However, it is less well understood how expertise-related disparity in brain connectivity is modulated by dynamic temporal demands experienced during a surgical task. In this study, we use fNIRS to examine the interplay between frontal and motor brain regions in a cohort of surgical residents of varying expertise performing a laparoscopic surgical task under temporal demand. The results demonstrate that prefrontal-motor connectivity in senior residents is more resilient to time pressure. Furthermore, certain global characteristics of brain connectomes, such as the small-world index, may be used to detect the presence of an underlying stressor.