Repeatability of muscle synergies within and between days for typically developing children and children with cerebral palsy

被引:58
作者
Shuman, Benjamin [1 ]
Goudriaan, Marije [2 ]
Bar-On, Lynn [2 ]
Schwartz, Michael H. [3 ,4 ]
Desloovere, Kaat [2 ]
Steele, Katherine M. [1 ]
机构
[1] Univ Washington, Dept Mech Engn, Seattle, WA 98195 USA
[2] Univ Leuven, Dept Rehabil Sci, KU Leuven, Leuven, Belgium
[3] Gillette Childrens Specialty Healthcare, James R Gage Ctr Gait & Mot Anal, St Paul, MN 55101 USA
[4] Univ Minnesota, Dept Biomed Engn, Minneapolis, MN USA
关键词
Muscle synergies; Cerebral palsy; Repeatability; Gait analysis; Electromyography; MOTOR MODULES; HUMAN LOCOMOTION; SPINAL-CORD; ACTIVATION; PATTERNS; WALKING; STROKE; NUMBER;
D O I
10.1016/j.gaitpost.2016.01.011
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Muscle synergies are typically calculated from electromyographic (EMG) signals using nonnegative matrix factorization. Synergies identify weighted groups of muscles that are commonly activated together during a task, such as walking. Synergy analysis has become an emerging tool to evaluate neuromuscular control; however, the repeatability of synergies between trials and days has not been evaluated. The goal of this study was to evaluate the repeatability of synergy complexity and structure in unimpaired individuals and individuals with cerebral palsy (CP). EMG data were collected from eight lower-limb muscles during gait for six typically developing (TD) children and five children with CP on two separate days, over three walking speeds. To evaluate synergy complexity, we calculated the total variance accounted for by one synergy (tVAF(1)). On a given day, the average range in tVAF(1) between gait cycles was 18.2% for TD and 19.1% for CP. The average standard deviation in tVAF(1) between gait cycles was 4.9% for TD and 5.0% for CP. Average tVAF(1) calculated across gait cycles was not significantly different between days for TD or CP participants. Comparing synergy structure, the average (standard deviation) within day correlation coefficients of synergy weights for two or more synergies were 0.89 (0.15) for TD and 0.88 (0.15) for CP. Between days, the average correlation coefficient of synergy weights for two or more synergies was greater than 0.89 for TD and 0.74 for CP. These results demonstrate that synergy complexity and structure averaged over multiple gait cycles are repeatable between days in both TD and CP groups. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:127 / 132
页数:6
相关论文
共 26 条
  • [1] The influence of merged muscle excitation modules on post-stroke hemiparetic walking performance
    Allen, Jessica L.
    Kautz, Steven A.
    Neptune, Richard R.
    [J]. CLINICAL BIOMECHANICS, 2013, 28 (06) : 697 - 704
  • [2] The neural origin of muscle synergies
    Bizzi, Emilio
    Cheung, Vincent C. K.
    [J]. FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2013, 7 : 1 - 6
  • [3] Motor patterns in human walking and running
    Cappellini, G.
    Ivanenko, Y. P.
    Poppele, R. E.
    Lacquaniti, F.
    [J]. JOURNAL OF NEUROPHYSIOLOGY, 2006, 95 (06) : 3426 - 3437
  • [4] Stability of muscle synergies for voluntary actions after cortical stroke in humans
    Cheung, Vincent C. K.
    Piron, Lamberto
    Agostini, Michela
    Silvoni, Stefano
    Turolla, Andrea
    Bizzi, Emilio
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2009, 106 (46) : 19563 - 19568
  • [5] Merging of Healthy Motor Modules Predicts Reduced Locomotor Performance and Muscle Coordination Complexity Post-Stroke
    Clark, David J.
    Ting, Lena H.
    Zajac, Felix E.
    Neptune, Richard R.
    Kautz, Steven A.
    [J]. JOURNAL OF NEUROPHYSIOLOGY, 2010, 103 (02) : 844 - 857
  • [6] Between-subject variability of muscle synergies during a complex motor skill
    Frere, Julien
    Hug, Francois
    [J]. FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2012, 6
  • [7] Impulses of activation but not motor modules are preserved in the locomotion of subacute stroke patients
    Gizzi, Leonardo
    Nielsen, Jorgen Feldbaek
    Felici, Francesco
    Ivanenko, Yuri P.
    Farina, Dario
    [J]. JOURNAL OF NEUROPHYSIOLOGY, 2011, 106 (01) : 202 - 210
  • [8] Five basic muscle activation patterns account for muscle activity during human locomotion
    Ivanenko, YP
    Poppele, RE
    Lacquaniti, F
    [J]. JOURNAL OF PHYSIOLOGY-LONDON, 2004, 556 (01): : 267 - 282
  • [9] Learning the parts of objects by non-negative matrix factorization
    Lee, DD
    Seung, HS
    [J]. NATURE, 1999, 401 (6755) : 788 - 791
  • [10] Li F, 2013, I IEEE EMBS C NEUR E, P1226, DOI 10.1109/NER.2013.6696161