title: Applying support vector regression analysis on grip force level-related corticomuscular coherence.
abstract: Voluntary motor performance is the result of cortical commands driving muscle actions. Corticomuscular coherence can be used to examine the functional coupling or communication between human brain and muscles. To investigate the effects of grip force level on corticomuscular coherence in an accessory muscle, this study proposed an expanded support vector regression (ESVR) algorithm to quantify the coherence between electroencephalogram (EEG) from sensorimotor cortex and surface electromyogram (EMG) from brachioradialis in upper limb. A measure called coherence proportion was introduced to compare the corticomuscular coherence in the alpha (7-15Hz), beta (15-30Hz) and gamma (30-45Hz) band at 25 % maximum grip force (MGF) and 75 % MGF. Results show that ESVR could reduce the influence of deflected signals and summarize the overall behavior of multiple coherence curves. Coherence proportion is more sensitive to grip force level than coherence area. The significantly higher corticomuscular coherence occurred in the alpha (p < 0.01) and beta band (p < 0.01) during 75 % MGF, but in the gamma band (p < 0.01) during 25 % MGF. The results suggest that sensorimotor cortex might control the activity of an accessory muscle for hand grip with increased grip intensity by changing functional corticomuscular coupling at certain frequency bands (alpha, beta and gamma bands).
authors.affiliation: College of Life Science and Bioengineering, Beijing University of Technology, Beijing, People's Republic of China, 100124.
authors.forename: Yao
authors.initials: Y
authors.lastname: Rong
authors.forename: Xixuan
authors.initials: X
authors.lastname: Han
authors.forename: Dongmei
authors.initials: D
authors.lastname: Hao
authors.forename: Liu
authors.initials: L
authors.lastname: Cao
authors.forename: Qing
authors.initials: Q
authors.lastname: Wang
authors.forename: Mingai
authors.initials: M
authors.lastname: Li
authors.forename: Lijuan
authors.initials: L
authors.lastname: Duan
authors.forename: Yanjun
authors.initials: Y
authors.lastname: Zeng
mesh_terms: D000465:Algorithms; D004569:Electroencephalography; D004576:Electromyography; D018737:Hand Strength / Q000502:physiology*; D006801:Humans; D008297:Male; D008959:Models, Neurological; D009044:Motor Cortex / Q000502:physiology*; D018482:Muscle, Skeletal / Q000502:physiology*; D011597:Psychomotor Performance / Q000502:physiology*; D060388:Support Vector Machine; D055815:Young Adult
references.citation: Exp Brain Res. 2011 Aug;212(4):623-33
references.pmid: 21701903
references.citation: Cereb Cortex. 2012 Mar;22(3):628-38
references.pmid: 21685397
references.citation: Neuroimage. 2007 Jul 1;36(3):785-92
references.pmid: 17493837
references.citation: J Neural Eng. 2008 Sep;5(3):324-32
references.pmid: 18756033
references.citation: Clin Neurophysiol. 2006 Feb;117(2):348-68
references.pmid: 16356767
references.citation: Clin Neurophysiol. 2011 Feb;122(2):356-63
references.pmid: 20638330
references.citation: J Neurophysiol. 2009 Aug;102(2):1115-20
references.pmid: 19458142
references.citation: Neurosci Lett. 1998 Jan 23;241(1):5-8
references.pmid: 9502202
references.citation: Clin Neurophysiol. 2006 Feb;117(2):369-80
references.pmid: 16356768
references.citation: J Neurophysiol. 2011 Sep;106(3):1379-88
references.pmid: 21653712
references.citation: Eur J Neurosci. 2007 Dec;26(12):3564-70
references.pmid: 18052988
references.citation: Prog Biophys Mol Biol. 1995;64(2-3):237-78
references.pmid: 8987386
references.citation: J Appl Physiol (1985). 2012 Mar;112(6):970-81
references.pmid: 22223451
references.citation: IEEE Trans Neural Syst Rehabil Eng. 2010 Apr;18(2):97-106
references.pmid: 20371421
references.citation: Clin Neurophysiol. 2000 Nov;111(11):2014-24
references.pmid: 11068237
references.citation: Mov Disord. 2003 Oct;18(10):1157-62
references.pmid: 14534920
references.citation: IEEE Trans Neural Syst Rehabil Eng. 2009 Jun;17(3):234-43
references.pmid: 19273041
references.citation: Neuroimage. 2008 Feb 1;39(3):1314-23
references.pmid: 18006336
references.citation: J Appl Physiol (1985). 2012 Apr;112(8):1258-67
references.pmid: 22302959
references.citation: Exp Brain Res. 2012 Jun;219(2):275-92
references.pmid: 22526947
references.citation: Brain Res. 2009 Jan 23;1250:101-12
references.pmid: 19028460
references.citation: Neuropsychologia. 1971 Mar;9(1):97-113
references.pmid: 5146491
references.citation: Clin Neurophysiol. 2009 May;120(5):994-1002
references.pmid: 19362515
references.citation: Biol Psychiatry. 2012 Mar 15;71(6):503-11
references.pmid: 22277333
references.citation: Neuroimage. 2008 Jun;41(2):437-47
references.pmid: 18396062
references.citation: Age (Dordr). 2013 Feb;35(1):49-58
references.pmid: 22037920
references.citation: Prog Biophys Mol Biol. 1989;53(1):1-31
references.pmid: 2682781
references.citation: J Neurosci. 2011 Jun 1;31(22):8037-45
references.pmid: 21632925