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Author(s):  
Jade Yeung ◽  
Peter George Redmayne Burke ◽  
Fiona L. Knapman ◽  
Jessica Patti ◽  
Elizabeth C. Brown ◽  
...  

Anatomical and imaging evidence suggests neural control of oblique and horizontal compartments of the genioglossus differs. However, neurophysiological evidence for differential control remains elusive. This study aimed to determine whether there are differences in neural drive to the oblique and horizontal regions of the genioglossus during swallowing and tongue protrusion. Adult participants (N=63; 48M) were recruited from a sleep clinic; 41 had Obstructive Sleep Apnoea (OSA: 34M, 8F). Electromyographic (EMG) was recorded at rest (awake, supine) using 4 intramuscular fine-wire electrodes inserted percutaneously into the anterior oblique, posterior oblique, anterior horizontal and posterior horizontal genioglossus. Epiglottic pressure and nasal airflow were also measured. During swallowing, two distinct EMG patterns were observed- a monophasic response (single EMG peak) and a biphasic response (two bursts of EMG). Peak EMG and timing of the peak relative to epiglottic pressure were significantly different between patterns (linear mixed models, p<0.001). Monophasic activation was more likely in the horizontal than oblique region during swallowing (OR=6.83, CI=3.46-13.53, p<0.001). In contrast, during tongue protrusion, activation patterns and EMG magnitude were not different between regions. There were no systematic differences in EMG patterns during swallowing or tongue protrusion between OSA and non-OSA groups. These findings provide evidence for functional differences in the motoneuronal output to the oblique and horizontal compartments, enabling differential task-specific drive. Given this, it is important to identify the compartment from which EMG is acquired. We propose that the EMG patterns during swallowing may be used to identify the compartment where a recording electrode is located.


2021 ◽  
Vol 12 ◽  
Author(s):  
Shota Date ◽  
Hiroshi Kurumadani ◽  
Yuko Nakashima ◽  
Yosuke Ishii ◽  
Akio Ueda ◽  
...  

Muscle activities of the elbow flexors, especially the brachialis muscle (BR), have been measured with intramuscular electromyography (EMG) using the fine-wire electrodes. It remains unclear whether BR activity can be assessed using surface EMG. The purpose of this study was to compare the EMG patterns of the BR activity recorded during elbow flexion using surface and fine-wire electrodes and to determine whether surface EMG can accurately measure the BR activity. Six healthy men were asked to perform two tasks—a maximum isometric voluntary contractions (MVICs) task and an isotonic elbow-flexion task without lifting any weight. The surface and intramuscular EMG were simultaneously recorded from the BR and the long and short heads of the biceps brachii muscle (BBLH and BBSH, respectively). The locations of the muscles were identified and marked under ultrasonographic guidance. The peak cross-correlation coefficients between the EMG signals during the MVICs task were calculated. For the isotonic elbow-flexion task, the EMG patterns for activities of each muscle were compared between the surface and the fine-wire electrodes. All cross-correlation coefficients between the surface EMG signals from the muscles were lower than 0.3. Furthermore, the EMG patterns of the BR activity were not significantly different between the surface and the fine-wire electrodes. The BR has different EMG pattern from the BBLH and the BBSH. The BR activity, conventionally measured with intramuscular EMG, can be accurately accessed with surface EMG during elbow flexion performed without lifting any weight, independent from the BBLH and BBSH activities.


Author(s):  
Nisarg Mehta ◽  
Simon Graham ◽  
Nikhil Lal ◽  
Lauren Wells ◽  
Nikolaos Giotakis ◽  
...  

2021 ◽  
Vol 287 ◽  
pp. 103602
Author(s):  
Eui-Sik Suh ◽  
Rebecca F. D’Cruz ◽  
Michelle Ramsay ◽  
Joerg Steier ◽  
Caroline J. Jolley ◽  
...  

2021 ◽  
pp. 1-9
Author(s):  
Hiroshi Akuzawa ◽  
Atsushi Imai ◽  
Satoshi Iizuka ◽  
Naoto Matsunaga ◽  
Koji Kaneoka

Author(s):  
Ming Zhang ◽  
Zhidong Liu ◽  
Hongwei Pan ◽  
Cong Deng ◽  
Mingbo Qiu

2021 ◽  
Vol 85 ◽  
pp. 7-13
Author(s):  
Kelly A. Robb ◽  
Hope D. Melady ◽  
Stephen D. Perry
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