Spatiotemporal regulation of the cough motor pattern.

Cheng Wang, Sourish Saha, Melanie J Rose, Paul W Davenport, Donald C Bolser
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Abstract

The purpose of this study was to identify the spatiotemporal determinants of the cough motor pattern. We speculated that the spatial and temporal characteristics of the cough motor pattern would be regulated separately. Electromyograms (EMG) of abdominal muscles (ABD, rectus abdominis or transversus abdominis), and parasternal muscles (PS) were recorded in anesthetized cats. Repetitive coughing was produced by mechanical stimulation of the lumen of the intrathoracic trachea. Cough inspiratory (CT(I)) and expiratory (CT(E)) durations were obtained from the PS EMG. The ABD EMG burst was confined to the early part of CT(E )and was followed by a quiescent period of varying duration. As such, CT(E )was divided into two segments with CT(E1 )defined as the duration of the ABD EMG burst and CT(E2 )defined as the period of little or no EMG activity in the ABD EMG. Total cough cycle duration (CT(TOT)) was strongly correlated with CT(E2 )(r(2)>0.8), weakly correlated with CT(I )(r(2)<0.3), and not correlated with CT(E1 )(r(2)<0.2). There was no significant relationship between CT(I )and CT(E1 )or CT(E2). The magnitudes of inspiratory and expiratory motor drive during cough were only weakly correlated with each other (r(2)<0.36) and were not correlated with the duration of any phase of cough. The results support: a) separate regulation of CT(I )and CT(E), b) two distinct subphases of CT(E )(CT(E1 )and CT(E2)), c) the duration of CT(E2 )is a primary determinant of CT(TOT), and d) separate regulation of the magnitude and temporal features of the cough motor pattern.

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咳嗽运动模式的时空调节。
本研究的目的是确定咳嗽运动模式的时空决定因素。我们推测咳嗽运动模式的空间和时间特征将分别受到调节。我们记录了麻醉猫腹部肌肉(ABD、腹直肌或腹横肌)和胸骨旁肌肉(PS)的肌电图(EMG)。通过对胸内气管管腔的机械刺激产生重复咳嗽。咳嗽吸气(CT(I))和呼气(CT(E))持续时间由 PS 肌电图获得。ABD EMG 爆发仅限于 CT(E )的早期部分,随后是持续时间不等的静止期。因此,CT(E)被分为两段,CT(E1)被定义为ABD肌电图爆发的持续时间,CT(E2)被定义为ABD肌电图中很少或没有肌电图活动的时期。总咳嗽周期持续时间(CT(TOT))与 CT(E2 )密切相关(r(2)>0.8),与 CT(I )弱相关(r(2)
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