Literature DB >> 7615028

EMG activation patterns during force production in precision grip. II. Muscular synergies in the spatial and temporal domain.

M A Maier1, M C Hepp-Reymond.   

Abstract

Electromyographic (EMG) activity was analyzed for the occurrence of synergistic patterns during the steady hold periods of force in the precision grip. To establish the presence of muscle synergies in the amplitude (spatial) domain, the EMG activation levels of pairs of simultaneously active muscles were linearly correlated. Cross-correlations of EMG activity were computed to quantify muscle synergies in the spatiotemporal domain (synchronization). A muscle pair was defined to be synergistically coupled or synchronously activated when the correlation (amplitude domain) or cross-correlation (time domain) was significant for at least two of the three steady state force levels. Muscle synergies in the amplitude domain were found in one-third of the 213 muscle pairs tested, distributed among 47 of the 82 tested muscle combinations. Coactivation was the predominant synergistic pattern, whereas trade-off comprised not more than 23% of the synergies. Cross-correlation peak size varied between 5 and 39% of the autocorrelation size, with delays in the range of +/- 8 ms and base width between 12 and 20 ms. Synchronization was found in one-fourth of the 213 muscle pairs tested and among 35 of the 82 muscle combinations, i.e., less frequently than covariation of EMG activity levels. However, the interindividual prevalence was higher for synchronization than for synergies in the amplitude domain, since, for the synergistic muscle combinations, almost twice as many muscle pairs were found to be synchronized than coupled in the amplitude domain. Synergies in the two domains occurred independently in some pairs and concurrently in other cases, and were observed between muscles moving the thumb, the index finger, or both digits. Synchronization was more frequent in pairs of muscles supplied by branches of the same peripheral nerve (46%) than in those innervated by different nerves (18%). Synergies in the amplitude domain were distributed in similar proportions across intrinsic, extrinsic, and combinations of both types of muscles, whereas synchronization mainly occurred in pairs of intrinsic muscles. When the task was repeated with slightly lower target forces, there were fewer synergies in the amplitude domain (in 52 of the 213 pairs, distributed among 35 of 82 muscle combinations) and their distribution changed, indicating a flexible, force-dependent mechanism. In conclusion, no strictly coherent interindividual pattern of synergies in the spatial domain could be established.

Mesh:

Year:  1995        PMID: 7615028     DOI: 10.1007/BF00241970

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


  28 in total

1.  Neuromotor synergies as a basis for coordinated intentional action.

Authors:  W A Lee
Journal:  J Mot Behav       Date:  1984-06       Impact factor: 1.328

2.  Arm muscle activation for static forces in three-dimensional space.

Authors:  M Flanders; J F Soechting
Journal:  J Neurophysiol       Date:  1990-12       Impact factor: 2.714

3.  Correlation between the discharges of motor units recorded from the same and from different finger muscles in man.

Authors:  F D Bremner; J R Baker; J A Stephens
Journal:  J Physiol       Date:  1991-01       Impact factor: 5.182

4.  The electromyographical basis of inaccurate motor performance.

Authors:  J M Brown; R Bronks
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1988

5.  Coordination and inhomogeneous activation of human arm muscles during isometric torques.

Authors:  E J van Zuylen; C C Gielen; J J Denier van der Gon
Journal:  J Neurophysiol       Date:  1988-11       Impact factor: 2.714

6.  Motor unit discharge characteristics and short term synchrony in paraplegic humans.

Authors:  N J Davey; P H Ellaway; C L Friedland; D J Short
Journal:  J Neurol Neurosurg Psychiatry       Date:  1990-09       Impact factor: 10.154

7.  Electromyographic studies of neck muscles in the intact cat. I. Patterns of recruitment underlying posture and movement during natural behaviors.

Authors:  F J Richmond; D B Thomson; G E Loeb
Journal:  Exp Brain Res       Date:  1992       Impact factor: 1.972

8.  Changes in the recruitment threshold of motor units produced by cutaneous stimulation in man.

Authors:  R Garnett; J A Stephens
Journal:  J Physiol       Date:  1981-02       Impact factor: 5.182

9.  Changes in motor unit synchronization following central nervous lesions in man.

Authors:  S F Farmer; M Swash; D A Ingram; J A Stephens
Journal:  J Physiol       Date:  1993-04       Impact factor: 5.182

10.  The synaptic connexions to intercostal motoneurones as revealed by the average common excitation potential.

Authors:  P A Kirkwood; T A Sears
Journal:  J Physiol       Date:  1978-02       Impact factor: 5.182

View more
  32 in total

1.  A novel algorithm to remove electrical cross-talk between surface EMG recordings and its application to the measurement of short-term synchronisation in humans.

Authors:  J M Kilner; S N Baker; R N Lemon
Journal:  J Physiol       Date:  2002-02-01       Impact factor: 5.182

2.  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

3.  Influence of tactile afferents on the coordination of muscles during a simulated precision grip.

Authors:  Tara L McIsaac; Andrew J Fuglevand
Journal:  Exp Brain Res       Date:  2006-09-19       Impact factor: 1.972

4.  Neurophysiology of prehension. II. Response diversity in primary somatosensory (S-I) and motor (M-I) cortices.

Authors:  Esther P Gardner; Jin Y Ro; K Srinivasa Babu; Soumya Ghosh
Journal:  J Neurophysiol       Date:  2006-11-08       Impact factor: 2.714

5.  How computational technique and spike train properties affect coherence detection.

Authors:  K Terry; L Griffin
Journal:  J Neurosci Methods       Date:  2007-09-26       Impact factor: 2.390

6.  Common input to motor units of intrinsic and extrinsic hand muscles during two-digit object hold.

Authors:  Sara A Winges; Kurt W Kornatz; Marco Santello
Journal:  J Neurophysiol       Date:  2008-01-02       Impact factor: 2.714

7.  Multi-muscle control during bipedal stance: an EMG-EMG analysis approach.

Authors:  Alessander Danna-Dos-Santos; Tjeerd W Boonstra; Adriana M Degani; Vinicius S Cardoso; Alessandra T Magalhaes; Luis Mochizuki; Charles T Leonard
Journal:  Exp Brain Res       Date:  2013-10-09       Impact factor: 1.972

8.  Learning new gait patterns: Exploratory muscle activity during motor learning is not predicted by motor modules.

Authors:  Rajiv Ranganathan; Chandramouli Krishnan; Yasin Y Dhaher; William Z Rymer
Journal:  J Biomech       Date:  2016-02-10       Impact factor: 2.712

9.  Discharges in human muscle spindle afferents during a key-pressing task.

Authors:  Michael Dimitriou; Benoni B Edin
Journal:  J Physiol       Date:  2008-09-18       Impact factor: 5.182

10.  Differential force scaling of fine-graded power grip force in the sensorimotor network.

Authors:  Birgit Keisker; Marie-Claude Hepp-Reymond; Armin Blickenstorfer; Martin Meyer; Spyros S Kollias
Journal:  Hum Brain Mapp       Date:  2009-08       Impact factor: 5.038

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.