Literature DB >> 27214885

Corticomuscular Coherence With Time Lag With Application to Delay Estimation.

Yuhang Xu, Verity M McClelland, Zoran Cvetkovic, Kerry R Mills.   

Abstract

Functional coupling between the motor cortex and muscle activity is usually detected and characterized using the spectral method of corticomuscular coherence (CMC). This functional coupling occurs with a time delay, which, if not properly accounted for, may decrease the coherence and make the synchrony difficult to detect. In this paper, we introduce the concept of CMC with time lag (CMCTL), that is the coherence between segments of motor cortex electroencephalogram (EEG) and electromyography (EMG) signals displaced from a central observation point. This concept is motivated by the need to compensate for the unknown delay between coupled cortex and muscle processes. We demonstrate using simulated data that under certain conditions the time lag between EEG and EMG segments at points of local maxima of CMCTL corresponds to the average delay along the involved corticomuscular conduction pathways. Using neurophysiological data, we then show that CMCTL with appropriate time lag enhances the coherence between cortical and muscle signals, and that time lags which correspond to local maxima of CMCTL provide estimates of delays involved in corticomuscular coupling that are consistent with the underlying physiology.

Mesh:

Year:  2016        PMID: 27214885     DOI: 10.1109/TBME.2016.2569492

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  6 in total

1.  Assessing Neurokinematic and Neuromuscular Connectivity During Walking Using Mobile Brain-Body Imaging.

Authors:  Mingqi Zhao; Gaia Bonassi; Jessica Samogin; Gaia Amaranta Taberna; Camillo Porcaro; Elisa Pelosin; Laura Avanzino; Dante Mantini
Journal:  Front Neurosci       Date:  2022-06-03       Impact factor: 5.152

2.  Sparse representation of brain signals offers effective computation of cortico-muscular coupling value to predict the task-related and non-task sEMG channels: A joint hdEEG-sEMG study.

Authors:  Ahmadreza Keihani; Amin Mohammad Mohammadi; Hengameh Marzbani; Shahriar Nafissi; Mohsen Reza Haidari; Amir Homayoun Jafari
Journal:  PLoS One       Date:  2022-07-01       Impact factor: 3.752

3.  Identifying bidirectional total and non-linear information flow in functional corticomuscular coupling during a dorsiflexion task: a pilot study.

Authors:  Tie Liang; Qingyu Zhang; Xiaoguang Liu; Bin Dong; Xiuling Liu; Hongrui Wang
Journal:  J Neuroeng Rehabil       Date:  2021-05-04       Impact factor: 4.262

4.  Electroencephalogram and surface electromyogram fusion-based precise detection of lower limb voluntary movement using convolution neural network-long short-term memory model.

Authors:  Xiaodong Zhang; Hanzhe Li; Runlin Dong; Zhufeng Lu; Cunxin Li
Journal:  Front Neurosci       Date:  2022-09-23       Impact factor: 5.152

5.  Electroencephalogram-Electromyogram Functional Coupling and Delay Time Change Based on Motor Task Performance.

Authors:  Nyi Nyi Tun; Fumiya Sanuki; Keiji Iramina
Journal:  Sensors (Basel)       Date:  2021-06-26       Impact factor: 3.576

6.  Abnormal patterns of corticomuscular and intermuscular coherence in childhood dystonia.

Authors:  Verity M McClelland; Zoran Cvetkovic; Jean-Pierre Lin; Kerry R Mills; Peter Brown
Journal:  Clin Neurophysiol       Date:  2020-02-04       Impact factor: 3.708

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.