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脑卒后功能皮质-肌肉耦合与异常肌肉协同相关性评估。

Correlation Evaluation of Functional Corticomuscular Coupling With Abnormal Muscle Synergy After Stroke.

出版信息

IEEE Trans Biomed Eng. 2021 Nov;68(11):3261-3272. doi: 10.1109/TBME.2021.3068997. Epub 2021 Oct 19.

DOI:10.1109/TBME.2021.3068997
PMID:33764872
Abstract

OBJECTIVE

While neuroplasticity and functional reorganization during motor recovery can be indirectly reflected and evaluated by functional corticomuscular coupling (fCMC), little work has been published regarding the cortical origin of abnormal muscle synergy and compensatory mechanism in the separation movement of stroke patients.

METHODS

In this study, we proposed to use extended partial directed coherence (ePDC) combined with an optimal spatial filtering approach to estimate fCMC in stroke patients and healthy controls, and further established muscle synergy model (MSM) to jointly explore the modulation mechanism between cortex and muscles.

RESULTS

Compared to healthy controls, stroke patients had significantly reduced coupling strength in both descending and ascending pathway. Moreover, the MSM were abnormal with high variability and low similarity in the separation stage of stroke patients. Further exploration of the positive relationship between fCMC characteristics and MSM parameters proved the possibility of using fCMC-MSM-based correlation indicator to evaluate abnormality of the cortical related synergy movement as well as the rehabilitation level of stroke patients.

CONCLUSION

We developed a computational procedure to evaluate the correlation between fCMC and MSM in stroke patients.

SIGNIFICANCE

This article provides a quantitative evaluation metrics based on fCMC to reveal the deficits during poststroke motor restoration and a promising approach to help patients correct abnormal movement habits, paving the way for neurophysiological assessment of neuromuscular control in conjunction with clinical scores.

摘要

目的

运动恢复过程中的神经可塑性和功能重组可以通过功能皮质肌耦合(fCMC)间接反映和评估,但关于中风患者分离运动中异常肌肉协同作用和代偿机制的皮质起源,相关研究工作较少。

方法

在这项研究中,我们提出使用扩展偏部分相干性(ePDC)结合最优空间滤波方法来估计中风患者和健康对照组的 fCMC,并进一步建立肌肉协同模型(MSM),以联合探索皮质和肌肉之间的调制机制。

结果

与健康对照组相比,中风患者的下降和上升通路的耦合强度均显著降低。此外,中风患者在分离阶段的 MSM 存在异常,表现为高变异性和低相似性。进一步探索 fCMC 特征与 MSM 参数之间的正相关关系证明了使用基于 fCMC-MSM 的相关指标来评估皮质相关协同运动异常以及中风患者康复水平的可能性。

结论

我们开发了一种计算程序来评估中风患者的 fCMC 和 MSM 之间的相关性。

意义

本文提供了一种基于 fCMC 的定量评估指标,用于揭示中风后运动恢复过程中的缺陷,并为帮助患者纠正异常运动习惯提供了一种有前途的方法,为结合临床评分的神经肌肉控制的神经生理评估铺平了道路。

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