面向运动规划能力评估的脑电特征分析

Analysis of EEG Features for Motor Planning Ability Assessment

  • 摘要: 运动规划涉及生活的方方面面,从拿起一个水杯到驾驶车辆时的应急处理,大脑无时无刻不在规划着运动的方式以获得最好的运动结果。运动规划能力的评估可以对运动员的选拔和运动规划障碍患者的诊断治疗提供重要的依据,但是传统的运动规划能力评估方法以行为学为主,经验不足的评估人员可能会得出不准确的结论。为了解决上述问题,本研究探索了基于脑电的运动规划能力评估方法,分别从时域、频域和非线性角度进行分析,提取了运动相关皮质电位(Movement-Related Cortical Potentials, MRCP)幅值,脑电功率谱密度(Power Spectral Density, PSD),脑电复杂度特征。通过相关性分析方法挖掘与行为学指标显著相关的脑电特征,发现FC4,C4及其周围导联的运动相关皮质电位幅值和反应时间呈显著负相关(FC4导联:ρ=-0.509,p=0.021;C4导联:ρ=-0.447,p=0.047),基于脑电功率谱密度计算的标准脑对称性指数(Standard Brain Symmetry Index,sBSI)和反应时间呈显著正相关(ρ=0.494,p=0.026),LZC(Lempel-Ziv Complexity)、模糊熵(Fuzzy Entropy, FuzzyEn)均与反应时间呈显著负相关(LZC:ρ=-0.626,p=0.015;FuzzyEn:ρ=-0.459,p=0.041)。研究结果表明MRCP幅值、sBSI、LZC和模糊熵可能成为评估运动规划能力的潜在生理靶标。综上,本研究结果有望为运动规划能力的评估提供方法学指导。

     

    Abstract: ‍ ‍Motor planning is involved in all aspects of life, from picking up a glass of water to dealing with emergencies while driving a car, the brain is always planning method to obtain the best results. The evaluation of motor planning ability can provide an important basis for the selection of athletes and the diagnosis and treatment of patients with motor planning disorders. However, the traditional evaluation of motor planning ability is mainly based on behavior indexes, and inexperienced evaluators may draw inaccurate conclusions. In order to solve the problems, this study explored the objective evaluation method of motor planning ability based on electroencephalogram (EEG), and extracted movement-related cortical potentials (MRCP) amplitude, EEG power spectral density (PSD) and EEG complexity feature. The correlation analysis methods were used to explore the EEG feature significantly related to the behavioral indicators. There was a significant negative correlation between MRCP amplitude and reaction time in FC4, C4 and around channels(FC4: ρ=-0.509, p=0.021; C4: ρ=-0.447, p=0.047). The standard brain symmetry index (sBSI) calculated based on power spectral density was significantly positively correlated with reaction time (ρ=0.494, p=0.026). Lempel-Ziv complexity (LZC) and Fuzzy entropy (FuzzyEn) were significantly negatively correlated with reaction time (LZC: ρ=-0.626, p=0.015; FuzzyEn: ρ=-0.459, p=0.041). Our results suggest that MRCP amplitude, sBSI, LZC, and fuzzy entropy may be potential physiological targets for evaluating motor planning ability. In conclusion, the results of this study are expected to provide methodological guidance for the assessment of motor planning ability.

     

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