光学神经成像和神经刺激在外科训练和评估:最新的回顾

M. Goble, V. Caddick, Ronak Patel, H. Modi, A. Darzi, F. Orihuela-Espina, D. Leff
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摘要

功能近红外光谱(fNIRS)是一种用于评估外科医生脑功能的非侵入性光学神经成像技术。这篇叙述性综述的目的是概述专业知识、压力、手术技术和神经刺激对外科医生神经激活模式的影响,并强调外科神经工效学需要的关键进展领域,以调节训练和表现。方法检索PubMed和Embase的文献,确定在外科医生执行模拟任务时使用fNIRS和神经刺激的神经影像学研究。结果在简单的手术任务中,新手外科医生在前额叶皮层表现出比专家更大的血流动力学反应,而专家外科手术表现的特征是相对前额叶衰减和其他区域(如辅助运动区)的激活灶上调。PFC激活与心理负荷之间的关系遵循倒u型曲线,激活增加然后减弱,超过一个关键拐点,要求超过认知能力。神经图像对腹腔镜和机器人工具对认知负荷的影响很敏感,有助于为针对神经学习曲线的训练计划的发展提供信息。FNIRS与目前通过描述手术过程中的认知状态来评估熟练程度的工具不同,从而能够开发专业知识的认知基准。最后,使用经颅直流电刺激的神经刺激可以加速技能习得和提高技术表现。结论FNIRS可为外科训练方案的制定提供参考,从而调节应激反应、认知学习曲线和运动技能表现。通过机器学习改进数据处理,可以实时反馈外科医生在手术过程中的认知状态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optical neuroimaging and neurostimulation in surgical training and assessment: A state-of-the-art review
Introduction Functional near-infrared spectroscopy (fNIRS) is a non-invasive optical neuroimaging technique used to assess surgeons' brain function. The aim of this narrative review is to outline the effect of expertise, stress, surgical technology, and neurostimulation on surgeons' neural activation patterns, and highlight key progress areas required in surgical neuroergonomics to modulate training and performance. Methods A literature search of PubMed and Embase was conducted to identify neuroimaging studies using fNIRS and neurostimulation in surgeons performing simulated tasks. Results Novice surgeons exhibit greater haemodynamic responses across the pre-frontal cortex than experts during simple surgical tasks, whilst expert surgical performance is characterized by relative prefrontal attenuation and upregulation of activation foci across other regions such as the supplementary motor area. The association between PFC activation and mental workload follows an inverted-U shaped curve, activation increasing then attenuating past a critical inflection point at which demands outstrip cognitive capacity Neuroimages are sensitive to the impact of laparoscopic and robotic tools on cognitive workload, helping inform the development of training programs which target neural learning curves. FNIRS differs in comparison to current tools to assess proficiency by depicting a cognitive state during surgery, enabling the development of cognitive benchmarks of expertise. Finally, neurostimulation using transcranial direct-current-stimulation may accelerate skill acquisition and enhance technical performance. Conclusion FNIRS can inform the development of surgical training programs which modulate stress responses, cognitive learning curves, and motor skill performance. Improved data processing with machine learning offers the possibility of live feedback regarding surgeons' cognitive states during operative procedures.
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