Calculation and Analysis of Microstate Related to Variation in Executed and Imagined Movement of Force of Hand Clenching.
Calculation and Analysis of Microstate Related to Variation in Executed and Imagined Movement of Force of Hand Clenching.
复制标题
握拳力的执行与想象运动变化相关微观状态的计算与分析
DOI：
10.1155/2018/9270685
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发表时间：
2018
影响因子：
--
通讯作者：
Xiong X
中科院分区：
文献类型：
--
作者：
Fu Y;Chen J;Xiong X
客观的。为了研究与握紧手力（握力：4kg、10kg和16kg）的执行和想象运动相关的脑电图（EEG）瞬时活动状态，我们采用了微状态分析方法，其中脑电图的空间地形图在一定数量的离散且稳定的全局大脑状态下表现。 20名受试者参与脑电图采集；计算脑电图的全局场功率及其局部最大值，然后使用交叉验证和统计进行聚类；根据聚类结果计算每个微观状态的4个参数（持续时间、发生次数、时间覆盖范围和幅度），并通过方差分析（ANOVA）进行统计分析；最后分析了微观状态与频段的关系。主要结果。实验结果表明，与执行和想象的握力任务相关的所有微状态都被聚类为 3 个微状态类别（A、B 和 C）；这些微状态一般先从A过渡到B，再从B过渡到C。随着执行握力和想象握力目标值的增大，微状态B的持续时间和时间覆盖范围逐渐减小，而微状态C的这些参数逐渐增大。与执行握力相关的微观状态B和C的出现次数显着多于与想象握力相关的微观状态B和C；此外，与执行的握力相关的这3种微观状态的振幅明显大于与想象的握力相关的振幅。微状态与频段之间的相关系数表明，微状态与mu节律和β频段相关，这与感觉运动节律的事件相关去同步/同步（ERD/ERS）现象一致，具有重要意义。预计这种微观状态分析可以用作观察与执行和想象的握力变化相关的脑电图瞬时活动模式以及提取与这些任务相关的脑电图特征的新方法。该研究可能为未来应用执行握力训练和想象握力训练用于中风患者手部运动障碍的康复奠定基础。
Objective. In order to investigate electroencephalogram (EEG) instantaneous activity states related to executed and imagined movement of force of hand clenching (grip force: 4 kg, 10 kg, and 16 kg), we utilized a microstate analysis in which the spatial topographic map of EEG behaves in a certain number of discrete and stable global brain states.Approach. Twenty subjects participated in EEG collection; the global field power of EEG and its local maximum were calculated and then clustered using cross validation and statistics; the 4 parameters of each microstate (duration, occurrence, time coverage, and amplitude) were calculated from the clustering results and statistically analyzed by analysis of variance (ANOVA); finally, the relationship between the microstate and frequency band was analyzed.Main Results. The experimental results showed that all microstates related to executed and imagined grip force tasks were clustered into 3 microstate classes (A, B, and C); these microstates generally transitioned from A to B and then from B to C. With the increase of the target value of executed and imagined grip force, the duration and time coverage of microstate B gradually decreased, while these parameters of microstate C gradually increased. The occurrence times of microstate B and C related to executed grip force were significantly more than those related to imagined grip force; furthermore, the amplitudes of these 3 microstates related to executed grip force were significantly greater than those related to imagined grip force. The correlation coefficients between the microstates and the frequency bands indicated that the microstates were correlated to mu rhythm and beta frequency bands, which are consistent with event‐related desynchronization/synchronization (ERD/ERS) phenomena of sensorimotor rhythm.Significance. It is expected that this microstate analysis may be used as a new method for observing EEG instantaneous activity patterns related to variation in executed and imagined grip force and also for extracting EEG features related to these tasks. This study may lay a foundation for the application of executed and imagined grip force training for rehabilitation of hand movement disorders in patients with stroke in the future.
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