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结合运动相关皮层电位和事件相关去同步化来研究运动准备和执行

Combining Movement-Related Cortical Potentials and Event-Related Desynchronization to Study Movement Preparation and Execution.

作者信息

Li Hai, Huang Gan, Lin Qiang, Zhao Jiang-Li, Lo Wai-Leung Ambrose, Mao Yu-Rong, Chen Ling, Zhang Zhi-Guo, Huang Dong-Feng, Li Le

机构信息

Department of Rehabilitation Medicine, Guangdong Engineering Technology Research Center for Rehabilitation Medicine and Clinical Translation, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.

Guangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China.

出版信息

Front Neurol. 2018 Oct 5;9:822. doi: 10.3389/fneur.2018.00822. eCollection 2018.

DOI:10.3389/fneur.2018.00822
PMID:30344504
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6182054/
Abstract

This study applied a comprehensive electroencephalography (EEG) analysis for movement-related cortical potentials (MRCPs) and event-related desynchronization (ERD) in order to understand movement-related brain activity changes during movement preparation and execution stage of unilateral wrist extension. Thirty-four healthy subjects completed two event-related potential tests in the same sequence. Unilateral wrist extension was involved in both tests as the movement task. Instruction Response Movement (IRM) was a brisk movement response task with visual "go" signal, while Cued Instruction Response Movement (CIRM) added a visual cue contenting the direction information to create a prolonged motor preparation stage. Recorded EEG data were segmented and averaged to show time domain changes and then transformed into time-frequency mapping to show the time-frequency changes. All components were calculated and compared among C3, Cz, and C4 locations. The motor potential appeared bilaterally in both tests' movement execution stages, and Cz had the largest peak value among the investigated locations ( < 0.01). In CIRM, a contingent negative variation (CNV) component presented bilaterally during the movement preparation stage with the largest amplitude at Cz. ERD of the mu rhythm (mu ERD) presented bilateral sensorimotor cortices during movement execution stages in both tests and was the smallest at Cz among the investigated locations. In the movement preparation stage of CIRM, mu ERD presented mainly in the contralateral sensory motor cortex area (C3 and C4 for right and left wrist movements, respectively) and showed significant differences between different locations. EEG changes in the time and time-frequency domains showed different topographical features. Movement execution was controlled bilaterally, while movement preparation was controlled mainly by contralateral sensorimotor cortices. Mu ERD was found to have stronger contra-lateralization features in the movement preparation stage and might be a better indicator for detecting movement intentions. This information could be helpful and might provide comprehensive information for studying movement disorders (such as those in post-stroke hemiplegic patients) or for facilitating the development of neuro-rehabilitation engineering technology such as brain computer interface.

摘要

本研究应用综合脑电图(EEG)分析方法,对与运动相关的皮层电位(MRCPs)和事件相关去同步化(ERD)进行研究,以了解单侧腕关节伸展运动准备和执行阶段与运动相关的脑活动变化。34名健康受试者按相同顺序完成了两项事件相关电位测试。两项测试均以单侧腕关节伸展作为运动任务。指令反应运动(IRM)是一项在视觉“开始”信号提示下的快速运动反应任务,而提示指令反应运动(CIRM)则增加了包含方向信息的视觉提示内容,以创建一个延长的运动准备阶段。记录的EEG数据进行分段和平均以显示时域变化,然后转换为时频映射以显示时频变化。计算并比较了C3、Cz和C4位置的所有成分。运动电位在两项测试的运动执行阶段均双侧出现,在所研究的位置中,Cz处的峰值最大(<0.01)。在CIRM中,运动准备阶段双侧出现了一个伴随负变化(CNV)成分,Cz处的振幅最大。两项测试的运动执行阶段,μ节律的ERD(μ ERD)均出现在双侧感觉运动皮层,在所研究的位置中,Cz处最小。在CIRM的运动准备阶段,μ ERD主要出现在对侧感觉运动皮层区域(分别对应右腕和左腕运动的C3和C4),且不同位置之间存在显著差异。EEG在时域和时频域的变化显示出不同的地形特征。运动执行由双侧控制,而运动准备主要由对侧感觉运动皮层控制。发现μ ERD在运动准备阶段具有更强的对侧化特征,可能是检测运动意图的更好指标。这些信息可能会有所帮助,并可能为研究运动障碍(如中风后偏瘫患者的运动障碍)或促进脑机接口等神经康复工程技术的发展提供全面信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9cc/6182054/8392781227a4/fneur-09-00822-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9cc/6182054/5dcd9707827e/fneur-09-00822-g0001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9cc/6182054/8392781227a4/fneur-09-00822-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9cc/6182054/5dcd9707827e/fneur-09-00822-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9cc/6182054/99237575b56a/fneur-09-00822-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9cc/6182054/96594ea4f51d/fneur-09-00822-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9cc/6182054/81b81a303e66/fneur-09-00822-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9cc/6182054/3212b018f05c/fneur-09-00822-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9cc/6182054/35139ee30e50/fneur-09-00822-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9cc/6182054/8392781227a4/fneur-09-00822-g0007.jpg

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2
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Neural Comput Appl. 2017;28(11):3259-3272. doi: 10.1007/s00521-016-2234-7. Epub 2016 Mar 4.
3
The Difference of Neural Networks between Bimanual Antiphase and In-Phase Upper Limb Movements: A Preliminary Functional Magnetic Resonance Imaging Study.
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ArXiv. 2025 May 16:arXiv:2402.09447v2.
4
Effects of intermittent visual feedback on EEG characteristics during motor preparation and execution in a goal-directed task.间歇性视觉反馈对目标导向任务中运动准备和执行期间脑电图特征的影响。
Front Hum Neurosci. 2024 Dec 12;18:1371476. doi: 10.3389/fnhum.2024.1371476. eCollection 2024.
5
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6
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6
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