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人手中第二蚓状肌的运动单位数量估计

Motor Unit Number Estimation of the Second Lumbrical Muscle in Human Hand.

作者信息

Zong Ya, Lu Zhiyuan, Chen Maoqi, Deng Lianfu, Xie Qin, Zhou Ping

机构信息

Department of Rehabilitation Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Faculty of Rehabilitation Engineering, University of Health and Rehabilitation Sciences, Qingdao, China.

出版信息

Front Physiol. 2022 Feb 22;13:854385. doi: 10.3389/fphys.2022.854385. eCollection 2022.

DOI:10.3389/fphys.2022.854385
PMID:35283764
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8911217/
Abstract

The number of motor units of the lumbrical muscles in human hand has not been explored. The objective of this study was to fill this gap by estimating the number of motor units in the second lumbrical muscle. Compound muscle action potential scan of the second lumbrical muscle was performed in 12 healthy subjects, with 10 of them being tested on two separate occasions. Motor unit number estimation (MUNE) was derived from the MScanFit program. The average MUNE of the second lumbrical muscle was 41.6 ± 2.1 (mean ± standard error) from 12 subjects in the first test, and 42.0 ± 2.2 from 10 of the 12 subjects in the retest, demonstrating excellent measurement reliability. Findings of the study provide novel information about the motor unit number of the second lumbrical muscle in human hand. The relatively low motor unit number in the muscle can facilitate motor unit investigations, especially at high level muscle activation.

摘要

人类手部蚓状肌的运动单位数量尚未得到研究。本研究的目的是通过估计第二蚓状肌的运动单位数量来填补这一空白。对12名健康受试者的第二蚓状肌进行了复合肌肉动作电位扫描,其中10名受试者在两个不同的时间进行了测试。运动单位数量估计(MUNE)来自MScanFit程序。在第一次测试中,12名受试者第二蚓状肌的平均MUNE为41.6±2.1(平均值±标准误差),在复测中,12名受试者中的10名的MUNE为42.0±2.2,显示出极好的测量可靠性。该研究结果提供了关于人类手部第二蚓状肌运动单位数量的新信息。该肌肉中相对较低的运动单位数量有助于运动单位研究,尤其是在高水平肌肉激活时。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d901/8911217/6238824f2ba5/fphys-13-854385-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d901/8911217/3fa639dd1180/fphys-13-854385-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d901/8911217/0289086efc79/fphys-13-854385-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d901/8911217/6238824f2ba5/fphys-13-854385-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d901/8911217/3fa639dd1180/fphys-13-854385-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d901/8911217/0289086efc79/fphys-13-854385-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d901/8911217/6238824f2ba5/fphys-13-854385-g003.jpg

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本文引用的文献

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IEEE Trans Neural Syst Rehabil Eng. 2021;29:1199-1205. doi: 10.1109/TNSRE.2021.3088061. Epub 2021 Jun 30.
2
MScanFit motor unit number estimation and muscle velocity recovery cycle recordings in diabetic polyneuropathy.MScanFit 用于估计运动单位数量和记录糖尿病性多发性神经病中的肌肉速度恢复周期。
Clin Neurophysiol. 2020 Nov;131(11):2591-2599. doi: 10.1016/j.clinph.2020.07.017. Epub 2020 Aug 15.
3
Detecting peripheral motor nervous system involvement in chronic spinal cord injury using two novel methods: MScanFit MUNE and muscle velocity recovery cycles.
一项关于健康受试者五块肌肉中MScanFit运动单位数量估计的单中心报告。
Front Hum Neurosci. 2023 Jan 17;16:1078848. doi: 10.3389/fnhum.2022.1078848. eCollection 2022.
使用两种新方法检测慢性脊髓损伤中的周围运动神经系统受累:MScanFit MUNE 和肌肉速度恢复周期。
Clin Neurophysiol. 2020 Oct;131(10):2383-2392. doi: 10.1016/j.clinph.2020.06.032. Epub 2020 Aug 5.
4
Motor unit number estimation of facial muscles using the M Scan-Fit method.使用 M 扫描拟合法对面部肌肉运动单位数量进行估计。
Muscle Nerve. 2020 Oct;62(4):555-558. doi: 10.1002/mus.27010. Epub 2020 Aug 2.
5
Reproducibility of motor unit number index and MScanFit motor unit number estimation across intrinsic hand muscles.内在手部肌肉中运动单位数量指数和 MScanFit 运动单位数量估计的可重复性。
Muscle Nerve. 2020 Aug;62(2):192-200. doi: 10.1002/mus.26839. Epub 2020 Feb 28.
6
Motor unit number of the first dorsal interosseous muscle estimated from CMAP scan with different pulse widths and steps.利用不同脉冲宽度和步长的 CMAP 扫描来估计第一背侧骨间肌的运动单位数量。
J Neural Eng. 2020 Feb 19;17(1):014001. doi: 10.1088/1741-2552/ab57cc.
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Parameters derived from compound muscle action potential scan for discriminating amyotrophic lateral sclerosis-related denervation.从复合肌肉动作电位扫描中提取的参数可用于鉴别肌萎缩侧索硬化相关的去神经支配。
Muscle Nerve. 2019 Oct;60(4):400-408. doi: 10.1002/mus.26644. Epub 2019 Aug 5.
8
Motor unit number estimation of human abductor hallucis from a compound muscle action potential scan.从复合肌肉动作电位扫描中估算人外展拇肌的运动单位数量。
Muscle Nerve. 2018 Nov;58(5):735-737. doi: 10.1002/mus.26295. Epub 2018 Oct 4.
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