EMG-projected MEG High-Resolution Source Imaging of Human Motor Execution: Brain-Muscle Coupling above Movement Frequencies

运动(音乐) 联轴节(管道) 高分辨率 分辨率(逻辑) 物理 神经科学 计算机科学 声学 心理学 材料科学 人工智能 地质学 遥感 冶金
作者
Mingxiong Huang,Deborah L. Harrington,Annemarie Angeles‐Quinto,Zhengwei Ji,Ashley Robb‐Swan,Charles Huang,Qian Shen,Hayden Hansen,J. D. Baumgartner,Jaqueline Hernandez-Lucas,Sharon Nichols,Joanna Jacobus,Tao Song,Imanuel Lerman,Maksim Bazhenov,Giri P. Krishnan,Dewleen G. Baker,Ramesh Rao,Roland R. Lee
出处
期刊:Cold Spring Harbor Laboratory - medRxiv 被引量:1
标识
DOI:10.1101/2023.06.23.23291825
摘要

Magnetoencephalography (MEG) is a non-invasive functional imaging technique for pre-surgical mapping. However, movement-related MEG functional mapping of primary motor cortex (M1) has been challenging in presurgical patients with brain lesions and sensorimotor dysfunction due to the large numbers of trails needed to obtain adequate signal to noise. Moreover, it is not fully understood how effective the brain communication is with the muscles at frequencies above the movement frequency and its harmonics. We developed a novel Electromyography (EMG)-projected MEG source imaging technique for localizing M1 during ~1 minute recordings of left and right self-paced finger movements (~1 Hz). High-resolution MEG source images were obtained by projecting M1 activity towards the skin EMG signal without trial averaging. We studied delta (1-4 Hz), theta (4-7 Hz), alpha (8-12 Hz), beta (15-30 Hz), and gamma (30-90 Hz) bands in 13 healthy participants (26 datasets) and two presurgical patients with sensorimotor dysfunction. In healthy participants, EMG-projected MEG accurately localized M1 with high accuracy in delta (100.0%), theta (100.0%), and beta (76.9%) bands, but not alpha (34.6%) and gamma (0.0%) bands. Except for delta, all other frequency bands were above the movement frequency and its harmonics. In both presurgical patients, M1 activity in the affected hemisphere was also accurately localized, despite highly irregular EMG movement patterns in one patient. Altogether, our EMG-projected MEG imaging approach is highly accurate and feasible for M1 mapping in presurgical patients. The results also provide insight into movement related brain-muscle coupling above the movement frequency and its harmonics.
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