Inter-subject variability of muscle synergies during bench press in power lifters and untrained individuals

被引:63
作者
Kristiansen, M. [1 ]
Madeleine, P. [1 ]
Hansen, E. A. [1 ]
Samani, A. [1 ]
机构
[1] Aalborg Univ, Dept Hlth Sci & Technol, Ctr Sensory Motor Interact SMI, DK-9220 Aalborg, Denmark
关键词
Movement variability; resistance training; muscle synergies; EMG normalization; MOTOR UNIT DISCHARGE; HUMAN SKELETAL-MUSCLE; MOVEMENT VARIABILITY; NEURAL ADAPTATIONS; OLDER-ADULTS; STRENGTH; PATTERNS; FORCE; SKILL; RECOMMENDATIONS;
D O I
10.1111/sms.12167
中图分类号
G8 [体育];
学科分类号
04 ; 0403 ;
摘要
The purpose of the study was to elucidate the role of expertise on muscle synergies involved in bench press. Ten expert power lifters (EXP) and nine untrained participants (UNT) completed three sets of eight repetitions at 60% of three repetition maximum in bench press. Muscle synergies were extracted from surface electromyography data of 21 bench press cycles using non-negative matrix factorization algorithm. The synergy activation coefficient represents the relative contribution of the muscle synergy to the overall muscle activity pattern, while the muscle synergy vector represents the relative weighting of each muscle within each synergy. Describing more than 90% of the variability, two muscle synergies reflected the eccentric and concentric phase. The cross-correlations ((max)) for synergy activation coefficient 2 (concentric phase) were 0.83 [0.71;0.88] and 0.59 [0.49;0.77] [Median (max) (25th;75th percentile)] (P=0.001) in UNT and EXP, respectively. Median correlation coefficient () for muscle synergy vector 2 was 0.15 [-0.08;0.46] and 0.48 [0.02;0.70] (P=0.03) in UNT and EXP, respectively. Thus, EXP showed larger inter-subject variability than UNT in the synergy activation coefficient during the concentric phase, while the muscle synergy vectors were less variable in EXP. This points at the importance of a specialized neural strategy in elite bench press performance.
引用
收藏
页码:89 / 97
页数:9
相关论文
共 37 条
[1]   Increased rate of force development and neural drive of human skeletal muscle following resistance training [J].
Aagaard, P ;
Simonsen, EB ;
Andersen, JL ;
Magnusson, P ;
Dyhre-Poulsen, P .
JOURNAL OF APPLIED PHYSIOLOGY, 2002, 93 (04) :1318-1326
[2]   Is movement variability important for sports biomechanists? [J].
Bartletti, Roger ;
Wheat, Jon ;
Robins, Matthew .
SPORTS BIOMECHANICS, 2007, 6 (02) :224-243
[3]   Motor patterns in human walking and running [J].
Cappellini, G. ;
Ivanenko, Y. P. ;
Poppele, R. E. ;
Lacquaniti, F. .
JOURNAL OF NEUROPHYSIOLOGY, 2006, 95 (06) :3426-3437
[4]   ADAPTATIONS IN COACTIVATION AFTER ISOMETRIC RESISTANCE TRAINING [J].
CAROLAN, B ;
CAFARELLI, E .
JOURNAL OF APPLIED PHYSIOLOGY, 1992, 73 (03) :911-917
[5]   Neural adaptations to strength training: Moving beyond transcranial magnetic stimulation and reflex studies [J].
Carroll, T. J. ;
Selvanayagam, V. S. ;
Riek, S. ;
Semmler, J. G. .
ACTA PHYSIOLOGICA, 2011, 202 (02) :119-140
[6]   RANK TRANSFORMATIONS AS A BRIDGE BETWEEN PARAMETRIC AND NONPARAMETRIC STATISTICS [J].
CONOVER, WJ ;
IMAN, RL .
AMERICAN STATISTICIAN, 1981, 35 (03) :124-129
[7]   ANALYSIS OF COVARIANCE USING THE RANK TRANSFORMATION [J].
CONOVER, WJ ;
IMAN, RL .
BIOMETRICS, 1982, 38 (03) :715-724
[8]   The adaptations to strength training - Morphological and neurological contributions to increased strength [J].
Folland, Jonathan P. ;
Williams, Alun G. .
SPORTS MEDICINE, 2007, 37 (02) :145-168
[9]   Between-subject variability of muscle synergies during a complex motor skill [J].
Frere, Julien ;
Hug, Francois .
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2012, 6
[10]   Neural adaptations to resistive exercise - Mechanisms and recommendations for training practices [J].
Gabriel, DA ;
Kamen, G ;
Frost, G .
SPORTS MEDICINE, 2006, 36 (02) :133-149