Abstract:The aim of this study is to explore the muscle coordination of forearm and hand for the grip and pinch control. There were 24 right-handed healthy subjects participating in the experiment. Subjects were requested to produce precisely 30%, 50% and 70% maximum voluntary contraction (MVC) of grip and pinch, during which the surface electromyography (sEMG) signals were recorded from brachioradialis (BR), flexor carpi ulnaris (FCU), flexor carpi radialis (FCR), extensor digitorum communis (EDC), flexor digitorum superficialis (FDS), abductor pollicis brevis (APB), first dorsal interosseous (FDI) and abductor digitiminimi (ADM). The recurrence networks (RNs) and multiplex recurrence networks (MRNs) based on multivariate sEMG signals were constructed and then analyzed by the average shortest path length (L), the clustering coefficient (C) and the interlayer mutual information (I), the average edge overlap (ω). Results showed that the RNs of BR, FCU and FCR during grip performed significantly higher C values than that during pinch under three force levels, take FCR as an example, grip vs pinch: 0.393 ± 0.040 vs 0.366 ± 0.035, 0.404 ± 0.040 vs 0.372 ± 0.035, 0.412 ± 0.051 vs 0.383 ± 0.040, P<0.05;while for the RNs of FDI, grip vs pinch: 0.443 ± 0.035 vs 0.462 ± 0.046, 0.446 ± 0.032 vs 0.461 ± 0.035, 0.445 ± 0.040 vs 0.465 ± 0.038, P<0.05. However, the L values of BR, FCU and FCR of RNs during pinch were significantly higher than that during grip at three force levels, take FCU as an example, grip vs pinch: 2.870 ± 0.063 vs 2.941 ± 0.124, 2.841 ± 0.065 vs 2.941 ± 0.079, 2.830 ± 0.083 vs 2.901 ± 0.051, P<0.05. The I and ω values of extrinsic MRNs under 50% and 70% MVC during grip were 4.056 ± 0.248 and 4.099 ± 0.232, 0.253 ± 0.015 and 0.257 ± 0.017, which were significantly higher than that during pinch (3.930 ± 0.229 and 3.939 ± 0.195, 0.245 ± 0.011 and 0.246 ± 0.012, P<0.05). In addition, the C of BR, FCU and FCR increased, the L decreased, and the I and ω of the extrinsic muscles MRNs increased with the grip force augmented. These results suggested different muscle coordination pattern between grip and pinch, and theintermuscular similarity and synchronization of extrinsic muscleswouldfuther augmente with the increased force level. These findings revealed the dynamical coordination across muscles with the force outputs and provided novel strategy for evaluating the neuromuscular function and making of the myoelectric prosthesis.
作者简介: #中国生物医学工程学会会员(Member, Chinese Society of Biomedical Engineering)
引用本文:
张娜, 李可. 握力及捏力控制的前臂及手部多肌肉协调性递归网络分析[J]. 中国生物医学工程学报, 2021, 40(4): 438-445.
Zhang Na, Li Ke. Recurrence Networks Analysis of Multiple Muscles coordination of Forearm and Hand for the Grip and Pinch Control. Chinese Journal of Biomedical Engineering, 2021, 40(4): 438-445.
[1] Overduin SA, d′Avella A, Roh J, et al. Modulation of muscle synergy recruitment in primate grasping [J]. J Neurosci, 2008, 28(4): 880-892. [2] Wakeling JM, Blake OM, Chan HK. Muscle coordination is key to the power output and mechanical efficiency of limb movements [J]. J Exp Biol, 2010, 213(3): 487-492. [3] Cheung VC, Turolla A, Agostini M, et al. Muscle synergy patterns as physiological markers of motor cortical damage [J]. Proc Natl Acad Sci USA, 2012, 109(36): 14652-14656. [4] Ide S, Nishikawa A. Muscle coordination control for an asymmetrically antagonistic-driven musculoskeletal robot using attractor selection [J]. Appl Bionics Biomech, 2018, 2018: 9737418. [5] Boccaletti S, Latora V, Moreno Y, et al. Complex networks: Structure and dynamics [J]. Complex Systems and Complexity Science, 2006, 424(4-5): 175-308. [6] Gómez S, Díaz-Guilera A, Gómez-Gardeñes J, et al. Diffusion dynamics on multiplex networks [J]. Phys Rev Lett, 2013, 110(2): 028701. [7] Zhang J, Small M. Complex network from pseudoperiodic time series: topology versus dynamics [J]. Phys Rev Lett, 2006, 96(23): 238701. [8] Lacasa L, Luque B, Ballesteros F, et al. From time series to complex networks: the visibility graph [J]. Proc Natl Acad Sci USA, 2008, 105(13): 4972-4975. [9] Lacasa L, Luque B, Luque J, et al. The visibility graph: A new method for estimating the hurst exponent of fractional brownian motion [J]. EPL, 2009, 86(3): 30001. [10] Zhang Jie, Sun Junfeng, Luo Xiaodong, et al. Characterizing pseudoperiodic time series through the complex network approach [J]. Physica D, 2008, 237(22): 2856-2865. [11] Donner R V, Zou Yong, Donges J F, et al. Recurrence networks - A novel paradigm for nonlinear time series analysis [J]. New J Phys, 2010, 12(3): 129-132. [12] Zhou Changsong, Zemanová L, Zamora G, et al. Hierarchical organization unveiled by functional connectivity in complex brain networks [J]. Phys Rev Lett, 2006, 97(23): 238103. [13] 李树彬, 高自友, 吴建军, 等. 基于复杂网络的交通拥堵与传播动力学分析 [J]. 物理学报, 2011, 60(5): 140-148. [14] Dunne JA, Williams RJ, Martinez ND. Food-web structure and network theory: the role of connectance and size [J]. Proc Natl Acad Sci USA, 2002, 99(20): 12917-12922. [15] Donges JF, Zou Yong, Marwan N, et al. Complex networks in climate dynamics [J]. Eur Phys J-spec Top, 2009, 174(1): 157-179. [16] Donges JF, Zou Yong, Marwan N, et al. The backbone of the climate network [J]. EPL, 2010, 87(4): 48007. [17] Eroglu D, Marwan N, Stebich M, et al. Multiplex recurrence networks [J]. Physical Review E, 2018, 97(1): 012312. [18] Fess EE.Grip strength[M]//Clinical Assessment Recommendations (2nded). Chicago: American Society of Hand Therapists,1992:41-45. [19] Hu Wenjing, Wei Na, Li Zongming, et al. Effects of muscle fatigue on directional coordination of fingertip forces during precision grip [J]. PLoS ONE, 2018, 13(12): e0208740. [20] Li Ke, Wei Na, Cheng Mei, et al. Dynamical coordination of hand intrinsic muscles for precision grip in diabetes mellitus [J]. Sci Rep, 2018, 8(1): 4365. [21] Lacasa L, Nicosia V, Latora V. Network structure of multivariate time series [J]. Sci Rep, 2015, 5: 15508. [22] Huesler EJ, Hepp-Reymond MC, Dietz V. Task dependence of muscle synchronization in human hand muscles [J]. Neuroreport, 1998, 9(10): 2167-2170. [23] Mcisaac TL, Fuglevand AJ. Common synaptic input across motor nuclei supplying intrinsic muscles involved in the precision grip [J]. Exp Brain Res, 2008, 188(1): 159-164. [24] Fuglevand A J. Mechanical properties and neural control of human hand motor units [J]. J Physiol, 2011, 589(Pt 23): 5595-5602. [25] Ehrsson HH, Fagergren A, Jonsson T, et al. Cortical activity in precision- versus power-grip tasks: An fMRI study [J]. J Neurophysiol, 2000, 83(1): 528-536. [26] Kuhtz-Buschbeck JP, Gilster R, Wolff S, et al. Brain activity is similar during precision and power gripping with light force: An fMRI study [J]. Neuroimage, 2008, 40(4): 1469-1481. [27] Holtermann A, Roeleveld K, Karlsson JS. Inhomogeneities in muscle activation reveal motor unit recruitment [J]. J Electromyogr Kinesiol, 2005, 15(2): 131-137. [28] Winges SA, Kornatz KW, Santello M. Common input to motor units of intrinsic and extrinsic hand muscles during two-digit object hold [J]. J Neurophysiol, 2008, 99(3): 1119-1126. [29] Pasluosta CF, Domalain MM, Fang Yin, et al. Influence of nerve supply on hand electromyography coherence during a three-digit task [J]. J Electromyogr Kinesiol, 2013, 23(3): 594-599. [30] Poston B, Santos DDA, Jesunathadas M, et al. Force-independent distribution of correlated neural inputs to hand muscles during three-digit grasping [J]. J Neurophysiol, 2010, 104(2): 1141-1154.