Garakh Zhanna, Novototsky-Vlasov Vladimir, Larionova Ekaterina, Zaytseva Yuliya
Institute of Higher Nervous Activity and Neurophysiology of Russian Academy of Science, Moscow, Russian Federation.
Institute of Higher Nervous Activity and Neurophysiology of Russian Academy of Science, Moscow, Russian Federation; Serbsky National Medical Research Centre for Psychiatry and Narcology, Moscow, Russian Federation.
J Neurosci Methods. 2020 Dec 1;346:108892. doi: 10.1016/j.jneumeth.2020.108892. Epub 2020 Aug 5.
EEG mu rhythm suppression is assessed in experiments on the execution, observation and imagination of movements. It is utilised for studying of actions, language, empathy in healthy individuals and preservation of sensorimotor system functions in patients with schizophrenia and autism spectrum disorders. While EEG alpha and mu rhythms are recorded in the same frequency range (8-13 Hz), their specification becomes a serious issue. THE NEW METHOD: is based on the spatial and functional characteristics of the mu wave, which are: (1) the mu rhythm is located over the sensorimotor cortex; (2) it desynchronises during movement processing and does not respond on the eyes opening. In EEG recordings, we analysed the mu rhythm under conditions with eyes opened and eyes closed (baseline), and during a motor imagery task with eyes closed. EEG recordings were processed by principal component analysis (PCA).
The analysis of EEG data with the proposed approach revealed the maximum spectral power of mu rhythm localised in the sensorimotor areas. During motor imagery, mu rhythm was suppressed more in frontal and central sites than in occipital sites, whereas alpha rhythm was suppressed more in parietal and occipital sites. Mu rhythm desynchronization in sensorimotor sites during motor imagery was greater than alpha rhythm desynchronization. The proposed method enabled EEG mu rhythm separation from its mix with alpha rhythm.
EEG mu rhythm separation with the proposed method satisfies its classical definition.
在运动执行、观察和想象的实验中评估脑电图（EEG）的μ节律抑制。它被用于研究健康个体的动作、语言、同理心以及精神分裂症和自闭症谱系障碍患者感觉运动系统功能的保存。虽然EEG的α和μ节律记录在相同的频率范围（8 - 13赫兹），但它们的区分成为一个严重问题。
基于μ波的空间和功能特征，这些特征为：（1）μ节律位于感觉运动皮层上方；（2）它在运动处理过程中去同步化，并且对睁眼无反应。在EEG记录中，我们分析了睁眼和闭眼（基线）条件下以及闭眼进行运动想象任务期间的μ节律。EEG记录通过主成分分析（PCA）进行处理。
用所提出的方法对EEG数据进行分析，发现μ节律的最大频谱功率位于感觉运动区域。在运动想象期间，额叶和中央部位的μ节律比枕叶部位抑制更明显，而顶叶和枕叶部位α节律抑制更明显。运动想象期间感觉运动部位的μ节律去同步化大于α节律去同步化。所提出的方法能够将EEG的μ节律与其与α节律的混合分离。
用所提出的方法进行EEG的μ节律分离符合其经典定义。
