Synchronous analysis of corticomuscular coherence based on Gabor wavelet-transfer entropy_Journal of Biomedical Engineering

Authors：

ZHANG Yuanyuan , ZOU Ce , CHEN Xiaoling , YIN Yonghao , CHENG Shengcui , CHEN Yingya ,  XIE Ping

Key Lab of Measurement Technology and Instrumentation of Hebei Province, Institute of Electric Engineering, Yanshan University, Qinhuangdao, Hebei 066004, P.R.China;

Corresponding author：

XIE Ping, Email: pingx@ysu.edu.cn

Keywords：

corticomuscular coupling; steady-state force; Gabor wavelet transform; transfer entropy; local frequency-band

DOI：

10.7507/1001-5515.201608018

Video：

Export PDF Favorites Scan Get Citation

Abstract Full text Figures/Tables Video References Cited by

Synchronization analysis of electroencephalogram (EEG) and electromyogram (EMG) could reveal the functional corticomuscular coupling (FCMC) during the motor task in human. A novel method combining Gabor wavelet and transfer entropy (Gabor-TE) is proposed to quantitatively analyze the nonlinearly synchronous corticomuscular function coupling and direction characteristics under different steady-state force. Firstly, the Gabor wavelet transform method was used to acquire the local frequency-band signals of the EEG and EMG signals recorded from nine healthy controls simultaneously during performing grip task with four different steady-state forces. Secondly, the TE of local frequency-band was calculated and the unit area index of the transfer (A_TE) was defined to quantitatively analyze the synchronous corticomuscular function coupling and direction characteristics under steady-state force. Lastly, the effect of EEG and EMG signal power spectrum on Gabor-TE analysis was explored. The results showed that the coupling strength in the beta band was stronger in EEG→EMG direction than in EMG→EEG direction, and the A_TE values in the beta band in EEG→EMG direction decreased with the force increasing. It is also shown that the difference in TE values of gamma band present a varying regularity as the increase of force in both directions. In addition, EMG power spectrum was significantly correlated with the result of Gabor-TE inspecific frequency band. The results of our study confirmed that Gabor-TE can quantitatively describe the nonlinearly synchronous corticomuscular function coupling in both local frequency band and information transmission. The analysis of FCMC provides basic information for exploring the motor control and the evaluation of clinical rehabilitation.

Citation： ZHANG Yuanyuan, ZOU Ce, CHEN Xiaoling, YIN Yonghao, CHENG Shengcui, CHEN Yingya, XIE Ping. Synchronous analysis of corticomuscular coherence based on Gabor wavelet-transfer entropy. Journal of Biomedical Engineering, 2017, 34(6): 850-856. doi: 10.7507/1001-5515.201608018 Copy

1.	Liu Ming, Wu Bo, Wang Wenzhi, et al. Stroke in China: epidemiology, prevention, and management strategies. Lancet Neurol, 2007, 6(5): 456-464.
2.	Witham C L, Riddle C N, Baker M R, et al. Contributions of descending and ascending pathways to corticomuscular coherence in humans. J Physiol, 2011, 589(15): 3789-3800.
3.	Mehrkanoon S, Breakspear M, Boonstra T W. The reorganization of corticomuscular coherence during a transition between sensorimotor states. Neuroimage, 2014, 100: 692-702.
4.	Conway B A, Halliday D M, Shahani U, et al. Common frequency components identified from correlations between magnetic recordings of cortical activity and the electromyogram in man. J Physiol, 1995, 483: 35.
5.	Halliday D M, Conway B A, Farmer S F, et al. Using electroencephalography to study functional coupling between cortical activity and electromyograms during voluntary contractions in humans. Neurosci Lett, 1998, 241(1): 5-8.
6.	Baker S N, Chiu M, Fetz E E. Afferent encoding of central oscillations in the monkey arm. J Neurophysiol, 2006, 95(6): 3904-3910.
7.	Witham C L, Wang M, Baker S N. Corticomuscular coherence between motor cortex,somatosensory areas and forearm muscles in the monkey. Front Syst Neurosci, 2010, 4(38): 1-14.
8.	牛小辰, 陈晓玲, 陈迎亚, 等. 基于格兰杰因果性的行走状态下脑肌电同步分析. 中国生物医学工程学报, 2014, 31(6): 696-706.
9.	Schreiber T. Measuring information transfer. Phys Rev Lett, 2000, 85(2): 461.
10.	谢平, 杨芳梅, 陈晓玲, 等. 基于多尺度传递熵的脑肌电信号耦合分析. 物理学报, 2015(24): 419-428.
11.	李小兵, 初孟, 邱天爽, 等. 一种基于经验模态分解的时频分布及其在EEG分析中的应用. 生物医学工程学杂志, 2007, 24(5): 990-995.
12.	庞春颖, 王小甜, 孙晓琳. 一种基于改进经验模态分解的癫痫脑电识别新方法. 中国生物医学工程学报, 2013, 32(6): 663-669.
13.	谢平, 杨芳梅, 李欣欣, 等. 基于变分模态分解传递熵的脑肌电信号耦合分析. 物理学报, 65(11): 118701.
14.	罗志增, 李文国. 基于小波变换和盲信号分离的多通道肌电信号处理方法. 电子学报, 2009, 37(4): 823-827.
15.	刘金平, 桂卫华, 牟学民, 等. 基于 Gabor 小波的浮选泡沫图像纹理特征提取. 仪器仪表学报, 2010(8): 1769-1775.
16.	谢平, 陈迎亚, 张园园, 等. 基于 Gabor 小波和格兰杰因果的脑-肌电同步性分析. 中国生物医学工程学报, 2017, 36(1): 28-38.
17.	Lee J, Nemati S, Silva I, et al. Transfer entropy estimation and directional coupling change detection in biomedical time series. Biomed Eng Online, 2012, 11(1): 19.
18.	马培培, 陈迎亚, 杜义浩, 等. 中风康复运动中脑电-肌电相干性分析. 生物医学工程学杂志, 2014, 5(31): 971-977.
19.	Schelter B, Timmer J, Eichler M. Assessing the strength of directed influences among neural signals using renormalized partial directed coherence. J Neurosci Methods, 2009, 179(1): 121-130.
20.	Gilbertson T, Lalo E, Doyle L, et al. Existing motor state is favored at the expense of new movement during 13-35 Hz oscillatory synchrony in the human corticospinal system[J]. Journal of Neuroscience, 2005, 25(34): 7771-7779.
21.	Bauer M, Oostenveld R, Peeters M, et al. Tactile spatial attention enhances gamma-band activity in somatosensory cortex and reduces low-frequency activity in parieto-occipital areas. The Journal of Neuroscience, 2006, 26(2): 490-501.
22.	Brown P, Salenius S, Rothwell J C, et al. Cortical correlate of the Piper rhythm in humans. J Neurophysiol, 1998, 80(6): 2911-2917.
23.	Tsujimoto T, Mima T, Shimazu H, et al. Directional organization of sensorimotor oscillatory activity related to the electromyogram in the monkey. Clinical Neurophysiology, 2009, 120(6): 1168-1173.
24.	Ohara S, Nagamine T, Ikeda A, et al. Electrocorticogram–electromyogram coherence during isometric contraction of hand muscle in human. Clinical Neurophysiology, 2000, 111(11): 2014-2024.
25.	Vysata O, Kukal J, Prochazka A, et al. Age-related changes in EEG coherence. Neurol Neurochir Pol, 2014, 48(1): 35-38.
26.	Kristeva R, Patino L, Omlor W. Beta-range cortical motor spectral power and corticomuscular coherence as a mechanism for effective corticospinal interaction during steady-state motor output. Neuroimage, 2007, 36(3): 785-792.
27.	Mima T, Simpkins N, Oluwatimilehin T, et al. Force level modulates human cortical oscillatory activities. Neurosci Lett, 1999, 275(2): 77-80.

1. Liu Ming, Wu Bo, Wang Wenzhi, et al. Stroke in China: epidemiology, prevention, and management strategies. Lancet Neurol, 2007, 6(5): 456-464.
2. Witham C L, Riddle C N, Baker M R, et al. Contributions of descending and ascending pathways to corticomuscular coherence in humans. J Physiol, 2011, 589(15): 3789-3800.
3. Mehrkanoon S, Breakspear M, Boonstra T W. The reorganization of corticomuscular coherence during a transition between sensorimotor states. Neuroimage, 2014, 100: 692-702.
4. Conway B A, Halliday D M, Shahani U, et al. Common frequency components identified from correlations between magnetic recordings of cortical activity and the electromyogram in man. J Physiol, 1995, 483: 35.
5. Halliday D M, Conway B A, Farmer S F, et al. Using electroencephalography to study functional coupling between cortical activity and electromyograms during voluntary contractions in humans. Neurosci Lett, 1998, 241(1): 5-8.
6. Baker S N, Chiu M, Fetz E E. Afferent encoding of central oscillations in the monkey arm. J Neurophysiol, 2006, 95(6): 3904-3910.
7. Witham C L, Wang M, Baker S N. Corticomuscular coherence between motor cortex,somatosensory areas and forearm muscles in the monkey. Front Syst Neurosci, 2010, 4(38): 1-14.
8. 牛小辰, 陈晓玲, 陈迎亚, 等. 基于格兰杰因果性的行走状态下脑肌电同步分析. 中国生物医学工程学报, 2014, 31(6): 696-706.
9. Schreiber T. Measuring information transfer. Phys Rev Lett, 2000, 85(2): 461.
10. 谢平, 杨芳梅, 陈晓玲, 等. 基于多尺度传递熵的脑肌电信号耦合分析. 物理学报, 2015(24): 419-428.
11. 李小兵, 初孟, 邱天爽, 等. 一种基于经验模态分解的时频分布及其在EEG分析中的应用. 生物医学工程学杂志, 2007, 24(5): 990-995.
12. 庞春颖, 王小甜, 孙晓琳. 一种基于改进经验模态分解的癫痫脑电识别新方法. 中国生物医学工程学报, 2013, 32(6): 663-669.
13. 谢平, 杨芳梅, 李欣欣, 等. 基于变分模态分解传递熵的脑肌电信号耦合分析. 物理学报, 65(11): 118701.
14. 罗志增, 李文国. 基于小波变换和盲信号分离的多通道肌电信号处理方法. 电子学报, 2009, 37(4): 823-827.
15. 刘金平, 桂卫华, 牟学民, 等. 基于 Gabor 小波的浮选泡沫图像纹理特征提取. 仪器仪表学报, 2010(8): 1769-1775.
16. 谢平, 陈迎亚, 张园园, 等. 基于 Gabor 小波和格兰杰因果的脑-肌电同步性分析. 中国生物医学工程学报, 2017, 36(1): 28-38.
17. Lee J, Nemati S, Silva I, et al. Transfer entropy estimation and directional coupling change detection in biomedical time series. Biomed Eng Online, 2012, 11(1): 19.
18. 马培培, 陈迎亚, 杜义浩, 等. 中风康复运动中脑电-肌电相干性分析. 生物医学工程学杂志, 2014, 5(31): 971-977.
19. Schelter B, Timmer J, Eichler M. Assessing the strength of directed influences among neural signals using renormalized partial directed coherence. J Neurosci Methods, 2009, 179(1): 121-130.
20. Gilbertson T, Lalo E, Doyle L, et al. Existing motor state is favored at the expense of new movement during 13-35 Hz oscillatory synchrony in the human corticospinal system[J]. Journal of Neuroscience, 2005, 25(34): 7771-7779.
21. Bauer M, Oostenveld R, Peeters M, et al. Tactile spatial attention enhances gamma-band activity in somatosensory cortex and reduces low-frequency activity in parieto-occipital areas. The Journal of Neuroscience, 2006, 26(2): 490-501.
22. Brown P, Salenius S, Rothwell J C, et al. Cortical correlate of the Piper rhythm in humans. J Neurophysiol, 1998, 80(6): 2911-2917.
23. Tsujimoto T, Mima T, Shimazu H, et al. Directional organization of sensorimotor oscillatory activity related to the electromyogram in the monkey. Clinical Neurophysiology, 2009, 120(6): 1168-1173.
24. Ohara S, Nagamine T, Ikeda A, et al. Electrocorticogram–electromyogram coherence during isometric contraction of hand muscle in human. Clinical Neurophysiology, 2000, 111(11): 2014-2024.
25. Vysata O, Kukal J, Prochazka A, et al. Age-related changes in EEG coherence. Neurol Neurochir Pol, 2014, 48(1): 35-38.
26. Kristeva R, Patino L, Omlor W. Beta-range cortical motor spectral power and corticomuscular coherence as a mechanism for effective corticospinal interaction during steady-state motor output. Neuroimage, 2007, 36(3): 785-792.
27. Mima T, Simpkins N, Oluwatimilehin T, et al. Force level modulates human cortical oscillatory activities. Neurosci Lett, 1999, 275(2): 77-80.

Journal of Biomedical Engineering

Synchronous analysis of corticomuscular coherence based on Gabor wavelet-transfer entropy

Abstract Full text Figures/Tables Video References Cited by

Previous Article

Next Article

Format

Content