Added load increases the peak frequency of intermuscular coherence

IF 2 4区 医学 Q3 NEUROSCIENCES
Nicholas W. Baumgartner, Jacquelyn P. Hill, Shail Bhatnagar, Raymond Roos, Betty Soliven, Kourosh Rezania, Naoum P. Issa
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引用次数: 0

Abstract

Cortical motor neuron activity appears to drive lower motor neurons through two distinct frequency bands: the β range (15–30 Hz) during weak muscle contractions and γ range (30–50 Hz) during strong contractions. It is unknown whether the frequency of cortical drive shifts continuously or abruptly between the β and γ frequency bands as contraction strength changes. Intermuscular coherence (IMC) between synergistic arm muscles was used to assess how the frequency of common neuronal drive shifts with increasing contraction strength. Muscle activity was recorded by surface electromyography (EMG) from the biceps and brachioradialis in nine healthy adults performing 30-second isometric holds with added loads. IMC was calculated across the two muscle groups during the isometric contraction. Significant IMC was present in the 20 to 50 Hz range with all loads. Repeated measures ANOVA show the peak frequency of IMC increased significantly when load was added, from a peak of 32.7 Hz with no added load, to 35.3 Hz, 35.7 Hz, and 36.3 Hz with three-, five-, and ten-pound loads respectively. An increase in IMC frequency occurs in response to added load, suggesting that cortical drive functions over a range of frequencies as a function of an isometric contraction against load.

增加负荷可提高肌间连贯性的峰值频率
大脑皮层运动神经元的活动似乎通过两个不同的频带驱动下级运动神经元:在肌肉弱收缩时为β范围(15-30 Hz),在肌肉强收缩时为γ范围(30-50 Hz)。目前还不清楚随着收缩强度的变化,大脑皮层驱动的频率是持续还是突然在 β 和 γ 频带之间移动。协同手臂肌肉之间的肌间连贯性(IMC)被用来评估共同神经元驱动的频率是如何随着收缩强度的增加而变化的。研究人员通过表面肌电图(EMG)记录了九名健康成年人肱二头肌和肱三头肌的肌肉活动,这些肌肉在进行 30 秒等长保持并增加负荷时的肌肉活动。在等长收缩过程中,计算了两组肌肉的 IMC。在所有负荷下,20 至 50 Hz 范围内均存在显著的 IMC。重复测量方差分析显示,当增加负荷时,IMC 的峰值频率显著增加,从未加负荷时的 32.7 Hz 峰值增加到加三磅、五磅和十磅负荷时的 35.3 Hz、35.7 Hz 和 36.3 Hz 峰值。IMC 频率的增加是对增加负荷的反应,这表明大脑皮层驱动在一定频率范围内发挥作用,是等长收缩对抗负荷的函数。
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来源期刊
CiteScore
4.70
自引率
8.00%
发文量
70
审稿时长
74 days
期刊介绍: Journal of Electromyography & Kinesiology is the primary source for outstanding original articles on the study of human movement from muscle contraction via its motor units and sensory system to integrated motion through mechanical and electrical detection techniques. As the official publication of the International Society of Electrophysiology and Kinesiology, the journal is dedicated to publishing the best work in all areas of electromyography and kinesiology, including: control of movement, muscle fatigue, muscle and nerve properties, joint biomechanics and electrical stimulation. Applications in rehabilitation, sports & exercise, motion analysis, ergonomics, alternative & complimentary medicine, measures of human performance and technical articles on electromyographic signal processing are welcome.
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