基于偏传递熵的卒中患者皮层肌肉功能连接分析

doi:10.3969/j.issn.0258-8021.2024.05.005

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Abstract Motor dysfunction is the main symptom after stroke, which is generally thought to be caused by the damage of neural network that controls motor function. To explore the neuromuscular control mechanism of stroke patients, in this paper, the functional cortical muscular coupling (FCMC) is used as a tool to collect the electroencephalogram (EEG) signals of 13 stroke patients and 13 healthy controls during the extension movement. Meanwhile, the Electromyogram (EMG) signals of triceps brachii, anterior deltoid toe, middle toe, back toe, biceps brachii, pectoralis major and trapezius muscle are obtained by FCMC. Moreover, by locating the cerebral cortex source, the raw EEG signal is obtained, afterwards the active brain region corresponding to the action is also determined by clustering, finally the cortical muscle functional connection is obtained by using partial transfer entropy. The functional connectivity of ICsF with AD, ICsB with BIC, ICsC with PD, PM, and UT in the upstream channels was significantly enhanced in stroke patients compared with healthy controls (For example, the healthycontrol group is 0.033±0.031, the stroke patient is 0.092±0.083, P<0.05). The functional connectivity of BIC with ICsA, ICsB and ICsC, TRI and UT with ICsC in the downstream channels was significantly enhanced in stroke patients compared with healthy controls (For example, the healthy control group is 0.113±0.092, and the stroke patients are 0.198±0.105, P<0.05). Ipsilateral cortical muscle functional connectivity is present in stroke patients. The experimental results show that this paper explores the cortical muscle functional connection effect after stroke from a new angle, and proves that there exists ipsilateral cortical muscle functional connection in stroke patients, which further effectively promotes the understanding of neuromuscular coupling mechanism after stroke.

Key words： partial transfer entropy source localization functional corticomuscular coupling stroke

Received: 20 September 2022

PACS:

R318

Corresponding Authors: ^*E-mail:qwfyby@163.com

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	Shi Zhengyi
	Xie Qiurong
	Wang Xiaoling
	Li Yurong

Cite this article:

Shi Zhengyi,Xie Qiurong,Wang Xiaoling, et al. Functional Connectivity Analysis of Cortical Muscles for Stroke Patients Based on Partial Transfer Entropy[J]. Chinese Journal of Biomedical Engineering, 2024, 43(5): 561-570.

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http://cjbme.csbme.org/EN/10.3969/j.issn.0258-8021.2024.05.005 OR http://cjbme.csbme.org/EN/Y2024/V43/I5/561

[1] Lüdemann-Podubecká J, Bösl K, Nowak DA. Repetitive transcranial magnetic stimulation for motor recovery of the upper limb after stroke[J]. Progress in Brain Research, 2015, 218: 281-311.
[2] Krauth R, Schwertner J, Vogt S, et al. Cortico-muscular coherence is reduced acutely post-stroke and increases bilaterally during motor recovery: a pilot study[J]. Frontiers in Neurology, 2019, 10: 126.
[3] Fang Y, Daly JJ, Sun J, et al. Functional corticomuscular connection during reaching is weakened following stroke[J]. Clinical Neurophysiology, 2009, 120(5): 994-1002.
[4] Meng F, Tong KY, Chan ST, et al. Cerebral plasticity after subcortical stroke as revealed by cortico-muscular coherence[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2008, 17(3): 234-243.
[5] von Carlowitz-Ghori K, Bayraktaroglu Z, Hohlefeld FU, et al. Corticomuscular coherence in acute and chronic stroke[J]. Clinical Neurophysiology, 2014, 125(6): 1182-1191.
[6] Braun C, Staudt M, Schmitt C, et al. Crossed cortico‐spinal motor control after capsular stroke[J]. European Journal of Neuroscience, 2007, 25(9): 2935-2945.
[7] Graziadio S, Tomasevic L, Assenza G, et al. The myth of the ‘unaffected’ side after unilateral stroke: is reorganisation of the non‐infarcted corticospinal system to re-establish balance the price for recovery?[J]. Experimental Neurology, 2012, 238(2): 168-175.
[8] Rossiter HE, Eaves C, Davis E, et al. Changes in the location of cortico-muscular coherence following stroke[J]. NeuroImage: Clinical, 2013, 2: 50-55.
[9] Jackson AF, Bolger DJ. The neurophysiological bases of EEG and EEG measurement: a review for the rest of us[J]. Psychophysiology, 2014, 51(11): 1061-1071.
[10] Olejarczyk E, Marzetti L, Pizzella V, et al. Comparison of connectivity analyses for resting state EEG data[J]. Journal of Neural Engineering, 2017, 14(3): 036017.
[11] Duan S, Zhao C, Wu M. Multiscale partial symbolic transfer entropy for time-delay root cause diagnosis in nonstationary industrial processes[J]. IEEE Transactions on Industrial Electronics, 2022,70(2): 2015-2025.
[12] 于少泓, 张豪杰, 张通. 康复治疗对脑卒中后脑网络运动功能重塑的磁共振研究进展[J]. 中国康复理论与实践, 2021,7(5): 516-521.
[13] 李瑞心, 何玉琴, 陈志清. 综合康复治疗对脑卒中恢复期偏瘫患者的影响[J]. 中国康复理论与实践, 2005, 11(7): 544-544.
[14] Chen X, Xie P, Zhang Y, et al. Abnormal functional corticomuscular coupling after stroke[J]. NeuroImage: Clinical, 2018, 19: 147-159.
[15] Tun NN, Sanuki F, Iramina K. Electroencephalogram- electromyogram functional coupling and delay time change based on motor task performance[J]. Sensors, 2021, 21(13): 4380.
[16] Gao Y, Ren L, Li R, et al. Electroencephalogram-electromyography coupling analysis in stroke based on symbolic transfer entropy[J]. Frontiers in Neurology, 2018, 8: 716.
[17] Sui JF, Young C, Ji L H . Effects of Non-rhythmical paroxysmal stimulation on EEG-EMG coherence during still standing in humans[J]. Advanced Materials Research, 2013, 749:418-422.
[18] 曹玉珍,张庆学.基于运动相关脑电特征的手运动方向识别[J].天津大学学报(自然科学与工程技术版),2014,47(9):836-841.
[19] 任伟杰, 韩敏. 多元时间序列因果关系分析研究综述[J]. 自动化学报, 2021, 47(1): 64-78.
[20] 李素姣, 刘苏, 蓝贺, 等. 脑肌电信号同步耦合分析方法研究进展[J]. 生物医学工程学杂志, 2019,36(2): 334-337.
[21] Chen X, Zhang Y, Cheng S, et al. Transfer spectral entropy and application to functional corticomuscular coupling[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2019, 27(5): 1092-1102.
[22] Gu D, Lin A, Lin G. Sleep and cardiac signal processing using improved multivariate partial compensated transfer entropy based on non-uniform embedding[J]. Chaos, Solitons & Fractals, 2022, 159: 112061.
[23] Liu J, Tan G, Sheng Y, et al. Multiscale transfer spectral entropy for quantifying corticomuscular interaction[J]. IEEE Journal of Biomedical and Health Informatics, 2020, 25(6): 2281-2292.
[24] Günther M, Bartsch RP, Miron-Shahar Y, et al. Coupling between leg muscle activation and EEG during normal walking, intentional stops, and freezing of gait in Parkinson's disease[J]. Frontiers in Physiology, 2019, 10: 870.
[25] Gao YY, Zhang YC, Su HX, et al. Coupling analysis of EEG based on simultaneous screening-symbolic transfer entropy[C]//2018 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD). Huangshan:IEEE, 2018: 1177-1181.
[26] Bao SC, Leung WC, Cheung VC, et al. Pathway-specific modulatory effects of neuromuscular electrical stimulation during pedaling in chronic stroke survivors[J]. Journal of Neuroengineering and Rehabilitation, 2019, 16(1): 1-15.
[27] Chen X, Zhang Y, Yang Y, et al. Beta-range corticomuscular coupling reflects asymmetries in hand movement [J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2020, 28(11): 2575-2585.
[28] Liang T, Zhang Q, Liu X, et al. Identifying bidirectional total and non-linear information flow in functional corticomuscular coupling during a dorsiflexion task: a pilot study [J]. Journal of Neuro Engineering and Rehabilitation, 2021, 18(1): 1-15.
[29] She Q, Zheng H, Tan T, et al. Time-frequency-domain copula-based granger causality and application to corticomuscular coupling in stroke [J]. International Journal of Humanoid Robotics, 2019, 16(4): 1-18.
[30] Fauvet M, Gasq D, Chalard A, et al. Temporal dynamics of corticomuscular coherence reflects alteration of the central mechanisms of neural motor control in post-stroke patients[J]. Frontiers in Human Neuroscience, 2021, 15: 682080.
[31] Rossiter HE, Eaves C, Davis E, et al. Changes in the location of cortico-muscular coherence following stroke[J]. NeuroImage: Clinical, 2013, 2: 50-55.
[32] Krauth R, Schwertner J, Vogt S, et al. Cortico-muscular coherence is reduced acutely post-stroke and increases bilaterally during motor recovery: a pilot study[J]. Frontiers in Neurology, 2019, 10: 126.
[33] Belardinelli P, Laer L, Ortiz E, et al. Plasticity of premotor cortico-muscular coherence in severely impaired stroke patients with hand paralysis[J]. NeuroImage: Clinical, 2017, 14: 726-733.