Literature DB >> 25821181

Intermuscular coherence contributions in synergistic muscles during pedaling.

Cristiano De Marchis1, Giacomo Severini, Anna Margherita Castronovo, Maurizio Schmid, Silvia Conforto.   

Abstract

The execution of rhythmical motor tasks requires the control of multiple skeletal muscles by the Central Nervous System (CNS), and the neural mechanisms according to which the CNS manages their coordination are not completely clear yet. In this study, we analyze the distribution of the neural drive shared across muscles that work synergistically during the execution of a free pedaling task. Electromyographic (EMG) activity was recorded from eight lower limb muscles of eleven healthy untrained participants during an unconstrained pedaling exercise. The coordinated activity of the lower limb muscles was described within the framework of muscle synergies, extracted through the application of nonnegative matrix factorization. Intermuscular synchronization was assessed by calculating intermuscular coherence between pairs of EMG signals from co-active, both synergistic and non-synergistic muscles within their periods of co-activation. The spatiotemporal structure of muscle coordination during pedaling was well represented by four muscle synergies for all the subjects. Significant coherence values within the gamma band (30-60 Hz) were identified only for one out of the four extracted muscle synergies. This synergy is mainly composed of the activity of knee extensor muscles, and its function is related to the power production and crank propelling during the pedaling cycle. In addition, a significant coherence peak was found in the lower frequencies for the GAM/SOL muscle pair, possibly related to the ankle stabilizing function of these two muscles during the pedaling task. No synchronization was found either for the other extracted muscle synergies or for pairs of co-active but non-synergistic muscles. The obtained results seem to suggest the presence of intermuscular synchronization only when a functional force production is required, with the observed gamma band contribution possibly reflecting a cortical drive to synergistic muscles during pedaling.

Entities:  

Mesh:

Year:  2015        PMID: 25821181     DOI: 10.1007/s00221-015-4262-4

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  56 in total

1.  Learning the parts of objects by non-negative matrix factorization.

Authors:  D D Lee; H S Seung
Journal:  Nature       Date:  1999-10-21       Impact factor: 49.962

2.  Cortico-muscular synchronization during isometric muscle contraction in humans as revealed by magnetoencephalography.

Authors:  J Gross; P A Tass; S Salenius; R Hari; H J Freund; A Schnitzler
Journal:  J Physiol       Date:  2000-09-15       Impact factor: 5.182

Review 3.  EEG-EMG, MEG-EMG and EMG-EMG frequency analysis: physiological principles and clinical applications.

Authors:  P Grosse; M J Cassidy; P Brown
Journal:  Clin Neurophysiol       Date:  2002-10       Impact factor: 3.708

4.  Neural mechanisms of intermuscular coherence: implications for the rectification of surface electromyography.

Authors:  Tjeerd W Boonstra; Michael Breakspear
Journal:  J Neurophysiol       Date:  2011-11-09       Impact factor: 2.714

5.  Force-independent distribution of correlated neural inputs to hand muscles during three-digit grasping.

Authors:  Brach Poston; Alessander Danna-Dos Santos; Mark Jesunathadas; Thomas M Hamm; Marco Santello
Journal:  J Neurophysiol       Date:  2010-05-26       Impact factor: 2.714

6.  Changes in cortically related intermuscular coherence accompanying improvements in locomotor skills in incomplete spinal cord injury.

Authors:  Jonathan A Norton; Monica A Gorassini
Journal:  J Neurophysiol       Date:  2006-01-11       Impact factor: 2.714

7.  Neural discharge and local field potential oscillations in primate motor cortex during voluntary movements.

Authors:  J P Donoghue; J N Sanes; N G Hatsopoulos; G Gaál
Journal:  J Neurophysiol       Date:  1998-01       Impact factor: 2.714

8.  An extended difference of coherence test for comparing and combining several independent coherence estimates: theory and application to the study of motor units and physiological tremor.

Authors:  A M Amjad; D M Halliday; J R Rosenberg; B A Conway
Journal:  J Neurosci Methods       Date:  1997-04-25       Impact factor: 2.390

9.  Coordination of locomotion with voluntary movements in humans.

Authors:  Yuri P Ivanenko; Germana Cappellini; Nadia Dominici; Richard E Poppele; Francesco Lacquaniti
Journal:  J Neurosci       Date:  2005-08-03       Impact factor: 6.167

10.  Fatigue related changes in electromyographic coherence between synergistic hand muscles.

Authors:  Shashikala Kattla; Madeleine M Lowery
Journal:  Exp Brain Res       Date:  2009-12-12       Impact factor: 1.972

View more
  14 in total

Review 1.  How to improve the muscle synergy analysis methodology?

Authors:  Nicolas A Turpin; Stéphane Uriac; Georges Dalleau
Journal:  Eur J Appl Physiol       Date:  2021-01-26       Impact factor: 3.078

2.  Intermuscular coherence reflects functional coordination.

Authors:  Christopher M Laine; Francisco J Valero-Cuevas
Journal:  J Neurophysiol       Date:  2017-06-28       Impact factor: 2.714

3.  Neuromuscular responses differ between slip-induced falls and recoveries in older adults.

Authors:  Andrew Sawers; Yi-Chung Clive Pai; Tanvi Bhatt; Lena H Ting
Journal:  J Neurophysiol       Date:  2016-11-02       Impact factor: 2.714

4.  Effects of hand configuration on muscle force coordination, co-contraction and concomitant intermuscular coupling during maximal isometric flexion of the fingers.

Authors:  Camille Charissou; David Amarantini; Robin Baurès; Eric Berton; Laurent Vigouroux
Journal:  Eur J Appl Physiol       Date:  2017-09-20       Impact factor: 3.078

5.  Estimation of Time-Frequency Muscle Synergy in Wrist Movements.

Authors:  Ping Xie; Qingya Chang; Yuanyuan Zhang; Xiaojiao Dong; Jinxu Yu; Xiaoling Chen
Journal:  Entropy (Basel)       Date:  2022-05-16       Impact factor: 2.738

6.  Coordination amongst quadriceps muscles suggests neural regulation of internal joint stresses, not simplification of task performance.

Authors:  Cristiano Alessandro; Filipe O Barroso; Adarsh Prashara; David P Tentler; Hsin-Yun Yeh; Matthew C Tresch
Journal:  Proc Natl Acad Sci U S A       Date:  2020-03-23       Impact factor: 11.205

7.  Temporal control of muscle synergies is linked with alpha-band neural drive.

Authors:  Christopher M Laine; Brian A Cohn; Francisco J Valero-Cuevas
Journal:  J Physiol       Date:  2021-05-31       Impact factor: 6.228

8.  High-Frequency Intermuscular Coherence between Arm Muscles during Robot-Mediated Motor Adaptation.

Authors:  Sara Pizzamiglio; Martina De Lillo; Usman Naeem; Hassan Abdalla; Duncan L Turner
Journal:  Front Physiol       Date:  2017-01-09       Impact factor: 4.566

9.  Intermuscular Coherence Between Surface EMG Signals Is Higher for Monopolar Compared to Bipolar Electrode Configurations.

Authors:  Maurice Mohr; Tanja Schön; Vinzenz von Tscharner; Benno M Nigg
Journal:  Front Physiol       Date:  2018-05-17       Impact factor: 4.566

10.  Effect of Task Failure on Intermuscular Coherence Measures in Synergistic Muscles.

Authors:  Anna Margherita Castronovo; Cristiano De Marchis; Maurizio Schmid; Silvia Conforto; Giacomo Severini
Journal:  Appl Bionics Biomech       Date:  2018-06-03       Impact factor: 1.781

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.