Disparity in Frontal Lobe Connectivity on a Complex Bimanual Motor Task Aids in Classification of Operator Skill Level
Disparity in Frontal Lobe Connectivity on a Complex Bimanual Motor Task Aids in Classification of Operator Skill Level
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DOI：
10.1089/brain.2015.0350
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发表时间：
2016-06-01
影响因子：
3.4
通讯作者：
Yang, Guang-Zhong
中科院分区：
文献类型：
--
作者：
Andreu-Perez, Javier;Leff, Daniel Richard;Yang, Guang-Zhong
技术性能的客观指标（例如灵巧性、时间和路径长度）不足以充分表征操作员的技能水平，这可能被编码在神经功能的深处。与捕捉数天或数周内可塑性的报告不同，本文研究了多年专业任务实践中发生的功能连接的长期可塑性。光学神经影像数据是从在复杂的双手协调任务上具有不同经验的专业外科医生那里获取的，目的是调查由于运动技能水平而产生的额叶功能连接中与学习相关的差异。结果表明，与专家表现相比，前额叶和运动前种子连接在幼稚表现中更为重要。考虑到与学习相关的连通性差异，采用具有径向基函数核的最小二乘支持向量机来使用连通性数据来评估技能水平。结果表明，操作员技能水平的辨别准确度 >= 0.82，多类马修相关系数 >= 0.70。此外，当考虑局部（即区域内）而不是区域间（即区域间）额叶连接时，这些指数会得到改善（p = 0.002）。结果表明，可以根据功能连接数据对操作员技能水平进行高精度分类，在此基础上客观评估和神经反馈可用于提高操作员在技术技能培训期间的表现。
Objective metrics of technical performance (e.g., dexterity, time, and path length) are insufficient to fully characterize operator skill level, which may be encoded deep within neural function. Unlike reports that capture plasticity across days or weeks, this articles studies long-term plasticity in functional connectivity that occurs over years of professional task practice. Optical neuroimaging data are acquired from professional surgeons of varying experience on a complex bimanual coordination task with the aim of investigating learning-related disparity in frontal lobe functional connectivity that arises as a consequence of motor skill level. The results suggest that prefrontal and premotor seed connectivity is more critical during naive versus expert performance. Given learning-related differences in connectivity, a least-squares support vector machine with a radial basis function kernel is employed to evaluate skill level using connectivity data. The results demonstrate discrimination of operator skill level with accuracy >= 0.82 and Multiclass Matthew's Correlation Coefficient >= 0.70. Furthermore, these indices are improved when local (i.e., within-region) rather than inter-regional (i.e., between-region) frontal connectivity is considered (p = 0.002). The results suggest that it is possible to classify operator skill level with good accuracy from functional connectivity data, upon which objective assessment and neurofeedback may be used to improve operator performance during technical skill training.