Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

The Neuromuscular Junction01:19

The Neuromuscular Junction

11.7K
The nervous system consists of complex motor neuron circuits, including upper motor neurons originating from the cerebral cortex and lower motor neurons starting in the spinal cord, coordinating both voluntary and involuntary movements. Among these, somatic motor neurons activate skeletal muscles and are classified into alpha, beta, and gamma types. Alpha neurons are vital for voluntary movement coordination, while gamma neurons adjust muscle spindle sensitivity, and the function of beta...
11.7K
Neuromuscular Junction And Blockade01:29

Neuromuscular Junction And Blockade

3.7K
The site of chemical communication between a motor neuron and a muscle fiber is called the neuromuscular junction (NMJ). The end of the motor neuron at the NMJ divides into a cluster of synaptic end bulbs. The cytoplasm of these bulbs consists of synaptic vesicles enclosing acetylcholine molecules, the principal neurotransmitter released at the NMJ. The region opposite the synaptic bulb that ends in the muscle fiber is called the motor end plate, which has acetylcholine receptors. Within the...
3.7K
Generation of Action Potential in Skeletal Muscles01:24

Generation of Action Potential in Skeletal Muscles

5.6K
Every cell in the body maintains a membrane potential due to an uneven distribution of positive and negative charges across its plasma membrane. The membrane potential is measured in millivolts and quantifies the difference in charge across the membrane.
Like neurons, muscle cells are also regarded as excitable due to their capacity to change in response to stimuli, primarily due to voltage-gated ion channels embedded in their plasma membranes, which get activated by alterations in the...
5.6K
Myasthenia Gravis: Diagnostic Tests01:15

Myasthenia Gravis: Diagnostic Tests

1.4K
Myasthenia gravis is an autoimmune condition affecting neuromuscular transmission, causing generalized weakness in skeletal muscles. Initial diagnoses rely on patients' signs, symptoms, and medical history. The challenge lies in distinguishing myasthenia from other muscular dystrophies. An important diagnostic feature is the significant improvement of symptoms after administering anticholinesterase inhibitors.
The edrophonium test is a diagnostic tool for myasthenia gravis. It involves...
1.4K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Role of the Upper Motor Neuron in the Generation of Fasciculations in Early Disease Stages of Amyotrophic Lateral Sclerosis.

Neurology·2026
Same author

Mechanical and Environmental Performance of Concrete Incorporating Post-Consumer Plastics and E-Waste.

Materials (Basel, Switzerland)·2026
Same author

Examining Motor Unit Properties of Upper Limb Muscles Near the Zone of Injury in Chronic Cervical Spinal Cord Injury.

Journal of neurotrauma·2026
Same author

Evaluating diaphragm motor response variability in electric and magnetic phrenic nerve stimulations during passive expiration.

Clinical neurophysiology practice·2026
Same author

Automatic Detection of Motor Unit Fractions in Multiscanning EMG Recordings.

Annals of biomedical engineering·2026
Same author

Motor Unit Loss and Remodeling in Patients With Chronic Radiculopathy Using the EMG Filling Analysis.

Muscle & nerve·2025

相关实验视频

Updated: Sep 14, 2025

Measuring Neuromuscular Junction Functionality
10:40

Measuring Neuromuscular Junction Functionality

Published on: August 6, 2017

18.2K

在神经肌肉结节疾病中测量的算法.

Armando Malanda1, Daniel Stashuk2, César Valle1

  • 1Public University of Navarra, Spain.

Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology
|July 24, 2025
PubMed
概括

这项研究验证了一种自动化方法,用于评估神经肌肉在患有神经肌肉结节疾病的患者,如神经肌肉结节疾病. 新技术准确地估计了动,与手动方法相比,有助于诊断.

关键词:
在EMGEMGEMGEMGEMGEMGEMGEMGEM动力单元的潜在动力.骨髓灰质炎 (Myasthenia gravis) 是一个严重的疾病.神经肌肉动是一种神经肌肉动.神经肌肉结节疾病 神经肌肉结节疾病

更多相关视频

Author Spotlight: Translational Applications of Stimulated SFEMG in Rodent Models
04:30

Author Spotlight: Translational Applications of Stimulated SFEMG in Rodent Models

Published on: March 8, 2024

935
Characterization of Neuromuscular Junctions in Mice by Combined Confocal and Super-Resolution Microscopy
11:03

Characterization of Neuromuscular Junctions in Mice by Combined Confocal and Super-Resolution Microscopy

Published on: December 8, 2021

3.9K

相关实验视频

Last Updated: Sep 14, 2025

Measuring Neuromuscular Junction Functionality
10:40

Measuring Neuromuscular Junction Functionality

Published on: August 6, 2017

18.2K
Author Spotlight: Translational Applications of Stimulated SFEMG in Rodent Models
04:30

Author Spotlight: Translational Applications of Stimulated SFEMG in Rodent Models

Published on: March 8, 2024

935
Characterization of Neuromuscular Junctions in Mice by Combined Confocal and Super-Resolution Microscopy
11:03

Characterization of Neuromuscular Junctions in Mice by Combined Confocal and Super-Resolution Microscopy

Published on: December 8, 2021

3.9K

科学领域:

  • 神经科学是一个神经科学.
  • 生物医学工程 生物医学工程
  • 临床电生理学 临床电生理学

背景情况:

  • 神经肌肉结节疾病通过影响信号传输,损害肌肉功能.
  • 估计神经肌肉动对于诊断和监测这些疾病至关重要.
  • 目前的手动方法来评估动是耗时和主观的.

研究的目的:

  • 评估一种新的自动化方法,用于量化运动单元潜力 (MUP) 列车中的神经肌肉动.
  • 将自动化方法的准确性与神经肌肉结节疾病患者的手动测量进行比较.
  • 评估自动化动估计技术的临床实用性.

主要方法:

  • 电肌图 (EMG) 记录来自15名患有严重肌症症状的患者的面部肌肉.
  • 动力单元潜力 (MUP) 列车使用DQEMG软件提取.
  • 一个自动化的算法,结合了平均连续差异 (MCD) 参数,通过在MUP中识别"单纤维"间隔来估计动. 结果与手动评估结果进行了比较.

主要成果:

  • 与两种值设置的手动评估相比,自动化动测量显示出最小的统计和临床差异.
  • 自动和手动测量之间的百分位差异处于狭窄的范围内 (例如,在一个值的第25和第75百分位时, -1.47到1.24微秒).
  • 这些发现支持自动化方法的可靠性和准确性.

结论:

  • 拟议的自动化方法提供了神经肌肉的准确和可靠的评估.
  • 这种技术可以作为临床动评估的宝贵工具,或作为手工程序的辅助.
  • 自动化方法有可能提高诊断神经肌肉结合障碍的效率和客观性.