Corticomuscular Activity Modeling by Combining Partial Least Squares and Canonical Correlation Analysis

被引:10
作者
Chen, Xun [1 ,2 ]
Liu, Aiping [1 ]
Wang, Z. Jane [1 ]
Peng, Hu [2 ]
机构
[1] Univ British Columbia, Dept Elect & Comp Engn, Vancouver, BC V6T 1Z4, Canada
[2] Hefei Univ Technol, Sch Med Engn, Dept Biomed Engn, Hefei 230009, Anhui, Peoples R China
关键词
PARKINSONS-DISEASE; MOTOR CORTEX; TASK; OSCILLATIONS; SYNCHRONIZATION;
D O I
10.1155/2013/401976
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Corticomuscular activity modeling based on multiple data sets such as electroencephalography (EEG) and electromyography (EMG) signals provides a useful tool for understanding human motor control systems. In this paper, we propose modeling corticomuscular activity by combining partial least squares (PLS) and canonical correlation analysis (CCA). The proposed method takes advantage of both PLS and CCA to ensure that the extracted components are maximally correlated across two data sets and meanwhile can well explain the information within each data set. This complementary combination generalizes the statistical assumptions beyond both PLS and CCA methods. Simulations were performed to illustrate the performance of the proposed method. We also applied the proposed method to concurrent EEG and EMG data collected in a Parkinson's disease (PD) study. The results reveal several highly correlated temporal patterns between EEG and EMG signals and indicate meaningful corresponding spatial activation patterns. In PD subjects, enhanced connections between occipital region and other regions are noted, which is consistent with previous medical knowledge. The proposed framework is a promising technique for performing multisubject and bimodal data analysis.
引用
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页数:11
相关论文
共 30 条
[1]   Coherent oscillations in monkey motor cortex and hand muscle EMG show task-dependent modulation [J].
Baker, SN ;
Olivier, E ;
Lemon, RN .
JOURNAL OF PHYSIOLOGY-LONDON, 1997, 501 (01) :225-241
[2]   EEG-EMG coherence enhancement [J].
Bortel, R ;
Sovka, P .
SIGNAL PROCESSING, 2006, 86 (07) :1737-1751
[3]   A review of group ICA for fMRI data and ICA for joint inference of imaging, genetic, and ERP data [J].
Calhoun, Vince D. ;
Liu, Jingyu ;
Adali, Tuelay .
NEUROIMAGE, 2009, 45 (01) :S163-S172
[4]   Executive impairment in Parkinson's disease: Response automaticity and task switching [J].
Cameron, Ian G. M. ;
Watanabe, Masayuki ;
Pari, Giovanna ;
Munoz, Douglas P. .
NEUROPSYCHOLOGIA, 2010, 48 (07) :1948-1957
[5]  
Chen X., 2013, IEEE T MULTIMEDIA
[6]  
Chen X., 2013, IEEE T BIOMEDICAL EN
[7]   A multiblock PLS model of cortico-cortical and corticomuscular interactions in Parkinson's disease [J].
Chiang, Joyce ;
Wang, Z. Jane ;
McKeown, Martin J. .
NEUROIMAGE, 2012, 63 (03) :1498-1509
[8]   Sampling, noise-reduction and amplitude estimation issues in surface electromyography [J].
Clancy, EA ;
Morin, EL ;
Merletti, R .
JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY, 2002, 12 (01) :1-16
[9]   Synchronization between motor cortex and spinal motoneuronal pool during the performance of a maintained motor task in man [J].
Conway, BA ;
Halliday, DM ;
Farmer, SF ;
Shahani, U ;
Maas, P ;
Weir, AI ;
Rosenberg, JR .
JOURNAL OF PHYSIOLOGY-LONDON, 1995, 489 (03) :917-924
[10]   Canonical Correlation Analysis for Data Fusion and Group Inferences [J].
Correa, Nicolle M. ;
Adali, Tulay ;
Li, Yi-Ou ;
Calhoun, Vince D. .
IEEE SIGNAL PROCESSING MAGAZINE, 2010, 27 (04) :39-50