模拟关节镜技能评估的神经机理:fNIRS 研究

Jiajia Liu, Wei Li, Ruixin Ma, Jianming Lai, Yao Xiao, Yan Ye, Shoumin Li, Xiaobo Xie, Jing Tian
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摘要

背景不同技能水平的模拟关节镜技能表现差异的神经机制仍不清楚。我们的主要目的是使用功能性近红外光谱(fNIRS)研究模拟关节镜技能的学习机制。方法我们招募了 27 名参与者,分为三组:新手组(9 人)、中级组(9 人)和专家组(9 人)。参与者在模拟器上完成七项关节镜任务,包括诊断导航、三角定位、抓星、诊断探查、半月板切除、滑膜清理和松动体切除。对所有任务进行录像,并通过模拟器系统和关节镜手术技能评估工具(ASSET)进行评估,同时使用 fNIRS 收集皮质激活数据。对模拟器评分和 ASSET 评分进行分析,以确定所有参与者的不同表现水平。结果专家组和中级组的得分都明显高于新手组(p <0.001)。专家与中级组、专家与新手组、中级组与新手组之间的 ASSET 分数存在明显差异(p = 0.0047、p <0.0001、p <0.0001),趋势是专家组和中级组和新手组。与新手组相比,中级组的左初级运动皮层(LPMC)和左前额叶皮层(LPFC)的激活程度明显更高(p = 0.0152,p = 0.0021)。与专家相比,中级组在前辅助运动区(pre-SMA)和右前额叶皮层(RPFC)之间的 FC 显著增加(p = 0.0152)。此外,与新手相比,中级组的 preSMA 和 LPFC、RPFC 和 LPFC 以及 LPMC 和 LPFC 之间的 FC 明显增加(p = 0.0077、p = 0.0285、p = 0.0446)。中级组的激活强度最高。
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Neuromechanisms of simulation-based arthroscopic skills assessment: a fNIRS study

Background

The neural mechanisms underlying differences in the performance of simulated arthroscopic skills across various skill levels remain unclear. Our primary objective is to investigate the learning mechanisms of simulated arthroscopic skills using functional near-infrared spectroscopy (fNIRS).

Methods

We recruited 27 participants, divided into three groups: novices (n = 9), intermediates (n = 9), and experts (n = 9). Participants completed seven arthroscopic tasks on a simulator, including diagnostic navigation, triangulation, grasping stars, diagnostic exploration, meniscectomy, synovial membrane cleaning, and loose body removal. All tasks were videotaped and assessed via the simulator system and the Arthroscopic Surgical Skill Evaluation Tool (ASSET), while cortical activation data were collected using fNIRS. Simulator scores and ASSET scores were analyzed to identify different level of performance of all participants. Brain region activation and functional connectivity (FC) of different types of participants were analyzed from fNIRS data.

Results

Both the expert and intermediate groups scored significantly higher than the novice group (p < 0.001). There were significant differences in ASSET scores between experts and intermediates, experts and novices, and intermediates and novices (p = 0.0047, p < 0.0001, p < 0.0001), with the trend being experts > intermediates > novices. The intermediate group exhibited significantly greater activation in the left primary motor cortex (LPMC) and left prefrontal cortex (LPFC) compared to the novice group (p = 0.0152, p = 0.0021). Compared to experts, the intermediate group demonstrated significantly increased FC between the presupplementary motor area (preSMA) and the right prefrontal cortex (RPFC; p < 0.001). Additionally, the intermediate group showed significantly increased FC between the preSMA and LPFC, RPFC and LPFC, and LPMC and LPFC compared to novices (p = 0.0077, p = 0.0285, p = 0.0446).

Conclusion

Cortical activation and functional connectivity reveal varying levels of activation intensity in the PFC, PMC, and preSMA among novices, intermediates, and experts. The intermediate group exhibited the highest activation intensity.

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