Analysis of EEG Features for Motor Planning Ability Assessment

‍ ‍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.