Literature DB >> 21653712

Between-subject variance in the magnitude of corticomuscular coherence during tonic isometric contraction of the tibialis anterior muscle in healthy young adults.

Junichi Ushiyama1, Tatsuya Suzuki, Yoshihisa Masakado, Kimitaka Hase, Akio Kimura, Meigen Liu, Junichi Ushiba.   

Abstract

Oscillatory activity of the sensorimotor cortex has been reported to show coherence with muscle activity in the 15- to 35-Hz frequency band (β-band) during weak to moderate intensity of isometric contraction. The present study examined the variance of the magnitude of the corticomuscular coherence across a large number of subjects. We quantified the coherence between EEG over the sensorimotor cortex and rectified electromyogram (EMG) from the tibialis anterior muscle during tonic isometric contraction at 30% of maximal effort in 100 healthy young individuals. We estimated the maximal peak of EEG-EMG coherence (Cohmax) and the ratio of the sum of the autopower spectral density function within the β-band to that of all frequency ranges for both EEG (EEGβ-PSD) and EMG (EMGβ-PSD) signals. The frequency histogram of Cohmax across all subjects showed a broad bell-shaped continuous distribution (range, 0.048-0.816). When the coherence was thresholded at the estimated significance level of P < 0.05 (0.114), 46 out of 100 subjects showed significant EEG-EMG coherence. Cohmax occurred within the β-band in the majority of subjects who showed significant EEG-EMG coherence (n = 43). Furthermore, Cohmax showed significant positive correlations with both EEGβ-PSD (r = 0.575, P < 0.001) and EMGβ-PSD (r = 0.606, P < 0.001). These data suggest that even during simple tonic isometric contraction, the strength of oscillatory coupling between the sensorimotor cortex and spinal motoneurons varies among individuals and is a contributory factor determining muscle activation patterns such as the degree of grouped discharge in muscle activity within the β-band for each subject.

Entities:  

Mesh:

Year:  2011        PMID: 21653712     DOI: 10.1152/jn.00193.2011

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


  20 in total

1.  The motor cortex drives the muscles during walking in human subjects.

Authors:  T H Petersen; M Willerslev-Olsen; B A Conway; J B Nielsen
Journal:  J Physiol       Date:  2012-03-05       Impact factor: 5.182

2.  Coding of digit displacement by cell spiking and network oscillations in the monkey sensorimotor cortex.

Authors:  Claire L Witham; Stuart N Baker
Journal:  J Neurophysiol       Date:  2012-09-26       Impact factor: 2.714

3.  Applying support vector regression analysis on grip force level-related corticomuscular coherence.

Authors:  Yao Rong; Xixuan Han; Dongmei Hao; Liu Cao; Qing Wang; Mingai Li; Lijuan Duan; Yanjun Zeng
Journal:  J Comput Neurosci       Date:  2014-04-24       Impact factor: 1.621

4.  Quantifying connectivity via efferent and afferent pathways in motor control using coherence measures and joint position perturbations.

Authors:  S Floor Campfens; Alfred C Schouten; Michel J A M van Putten; Herman van der Kooij
Journal:  Exp Brain Res       Date:  2013-05-12       Impact factor: 1.972

5.  On the skilled plantar flexor motor action and unique electromyographic activity of ballet dancers.

Authors:  Sakiko Saito; Hiroki Obata; Mayumi Kuno-Mizumura; Kimitaka Nakazawa
Journal:  Exp Brain Res       Date:  2017-11-16       Impact factor: 1.972

6.  Oscillations in neural drive and age-related reductions in force steadiness with a cognitive challenge.

Authors:  Hugo M Pereira; Bonnie Schlinder-DeLap; Kevin G Keenan; Francesco Negro; Dario Farina; Allison S Hyngstrom; Kristy A Nielson; Sandra K Hunter
Journal:  J Appl Physiol (1985)       Date:  2019-02-28

7.  Context-Dependent Modulation of Corticomuscular Coherence in a Series of Motor Initiation and Maintenance of Voluntary Contractions.

Authors:  Rina Suzuki; Junichi Ushiyama
Journal:  Cereb Cortex Commun       Date:  2020-10-07

8.  Beta-band intermuscular coherence: a novel biomarker of upper motor neuron dysfunction in motor neuron disease.

Authors:  Karen M Fisher; Boubker Zaaimi; Timothy L Williams; Stuart N Baker; Mark R Baker
Journal:  Brain       Date:  2012-06-22       Impact factor: 13.501

9.  Poor motor function is associated with reduced sensory processing after stroke.

Authors:  S Floor Campfens; Sarah B Zandvliet; Carel G M Meskers; Alfred C Schouten; Michel J A M van Putten; Herman van der Kooij
Journal:  Exp Brain Res       Date:  2015-02-05       Impact factor: 1.972

10.  The selective influence of rhythmic cortical versus cerebellar transcranial stimulation on human physiological tremor.

Authors:  Arpan R Mehta; John-Stuart Brittain; Peter Brown
Journal:  J Neurosci       Date:  2014-05-28       Impact factor: 6.167

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.