Brümmer Tim, Lu Hongyu, Yang Haodi, Baier Lukas, Braun Christoph, Siegel Markus, Marquetand Justus
Department of Neural Dynamics and Magnetoencephalography, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany; Center for Integrative Neuroscience, University of Tübingen, Tübingen, Germany; MEG Center, University of Tübingen, Tübingen, Germany; Institute for Modelling and Simulation of Biomechanical Systems, University of Stuttgart, Stuttgart, Germany.
Department of Neural Dynamics and Magnetoencephalography, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany; Center for Integrative Neuroscience, University of Tübingen, Tübingen, Germany; MEG Center, University of Tübingen, Tübingen, Germany; Graduate Training Centre of Neuroscience, International Max Planck Research School, University of Tübingen, Tübingen, Germany.
J Electromyogr Kinesiol. 2025 Jun;82:103012. doi: 10.1016/j.jelekin.2025.103012. Epub 2025 May 2.
Muscle strength training leads to neuromuscular adaptations that can be monitored by electromyography (EMG). In view of new technical possibilities to measure the neuromuscular system via contactless magnetomyography (MMG) using miniaturized quantum sensors (optically pumped magnetometer, OPM), the question arises whether MMG detects similar neuromuscular adaptations compared to EMG. Therefore, we developed an experimental design and a multimodal setup for the simultaneous measurement of EMG, triaxial OPM-MMG, and vigorimetry. As a proof of concept, right biceps brachii muscle activity was recorded during maximal voluntary contraction (MVC) and a 40 % MVC muscle fatigue paradigm over 3 min in 12 healthy, untrained subjects. Measurements were taken before and after a 30-day strength training program, with six subjects undergoing training and six serving as controls. EMG and MMG showed a similar increase in RMS during MVC and fatigue after training (r > 0.9). However, the MMG increase varied by vector component, with the magnetic flux signal along the muscle fibers showing the highest RMS increase. Furthermore, these MMG findings can be visualized three-dimensionally using one OPM, which is not possible with bipolar EMG. This is the first longitudinal MMG study to demonstrate the feasibility of monitoring strength training-induced adaptations over 4 weeks, which highlights the opportunities and challenges of OPM-MMG for contactless neuromuscular monitoring.
肌肉力量训练会导致神经肌肉适应性变化,这种变化可通过肌电图(EMG)进行监测。鉴于利用小型量子传感器(光泵磁力仪,OPM)通过非接触式磁肌图(MMG)测量神经肌肉系统的新技术可能性,出现了一个问题,即与EMG相比,MMG是否能检测到类似的神经肌肉适应性变化。因此,我们开发了一种实验设计和多模态设置,用于同时测量EMG、三轴OPM-MMG和活力测定。作为概念验证,在12名健康的未经训练的受试者中,记录了他们在最大自主收缩(MVC)和持续3分钟的40%MVC肌肉疲劳范式期间右侧肱二头肌的肌肉活动。在一项为期30天的力量训练计划前后进行测量,其中6名受试者接受训练,6名作为对照。训练后,EMG和MMG在MVC和疲劳期间的均方根(RMS)均有类似增加(r>0.9)。然而,MMG的增加因矢量分量而异,沿肌纤维的磁通量信号显示出最高的RMS增加。此外,使用一个OPM可以对这些MMG结果进行三维可视化,而双极EMG则无法做到这一点。这是第一项纵向MMG研究,证明了在4周内监测力量训练引起的适应性变化的可行性,突出了OPM-MMG在非接触式神经肌肉监测方面的机遇和挑战。