Literature DB >> 15269232

Motor-unit coherence and its relation with synchrony are influenced by training.

John G Semmler1, Martin V Sale, François G Meyer, Michael A Nordstrom.   

Abstract

The purpose of the study was to quantify the strength of motor-unit coherence from the left and right first dorsal interosseous muscles in untrained, skill-trained (musicians), and strength-trained (weightlifters) individuals who had long-term specialized use of their hand muscles. The strength of motor-unit coherence was quantified from a total of 394 motor-unit pairs in 13 subjects using data from a previous study in which differences were found in the strength of motor-unit synchronization depending on training status. In the present study, we found that the strength of motor-unit coherence was significantly greater in the left compared with the right hand of untrained right-handed subjects with the largest differences observed between 21 and 24 Hz. The strength of motor-unit coherence was lower in both hands of skill-trained subjects (21-27 Hz) and the right (skilled) hand of untrained subjects (21-24 Hz), whereas the largest motor-unit coherence was observed in both hands of strength-trained subjects (3-9 and 21-27 Hz). A strong curvilinear association was observed between motor-unit synchronization and the integral of coherence at 10-30 Hz in all motor-unit pairs (r2 = 0.77), and was most pronounced in strength-trained subjects (r2 = 0.90). Furthermore, this association was accentuated when using synchronization data with broad peaks (>11 ms), suggesting that the 10- to 30-Hz coherence is due to oscillatory activity in indirect branched common inputs. The altered coherence with training may be due to an interaction between cortical inhibition and the number of direct common inputs to motor neurons in skill- or strength-trained hands.

Mesh:

Year:  2004        PMID: 15269232     DOI: 10.1152/jn.00316.2004

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  38 in total

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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

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5.  Common drive to the upper airway muscle genioglossus during inspiratory loading.

Authors:  Michael J Woods; Christian L Nicholas; John G Semmler; Julia K M Chan; Amy S Jordan; John Trinder
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6.  Periodic modulation of motor-unit activity in extrinsic hand muscles during multidigit grasping.

Authors:  Jamie A Johnston; Sara A Winges; Marco Santello
Journal:  J Neurophysiol       Date:  2005-03-02       Impact factor: 2.714

7.  Signal-dependent wavelets for electromyogram classification.

Authors:  A Maitrot; M F Lucas; C Doncarli; D Farina
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8.  Low-frequency common modulation of soleus motor unit discharge is enhanced during postural control in humans.

Authors:  G Mochizuki; J G Semmler; T D Ivanova; S J Garland
Journal:  Exp Brain Res       Date:  2006-06-17       Impact factor: 1.972

9.  Muscle-pair specific distribution and grip-type modulation of neural common input to extrinsic digit flexors.

Authors:  Sara A Winges; Jamie A Johnston; Marco Santello
Journal:  J Neurophysiol       Date:  2006-05-24       Impact factor: 2.714

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

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