Guerrero-Mendez Cristian D, Blanco-Diaz Cristian F, Rivera-Flor Hamilton, De Souza Alberto F, Jaramillo-Isaza Sebastian, Ruiz-Olaya Andres F, Bastos-Filho Teodiano F
Postgraduate Program in Electrical Engineering, Federal University of Espirito Santo (UFES), Vitória 29075-910, Brazil;
Department of Informatics, Federal University of Espírito Santo (UFES), Vitória 29075-910, Brazil;
NeuroSci. 2023 Aug 15;4(3):195-210. doi: 10.3390/neurosci4030018. eCollection 2023 Sep.
The effects of corticomuscular connectivity during object manipulation tasks with different haptic sensations have not been quantitatively investigated. Connectivity analyses enable the study of cortical effects and muscle responses during movements, revealing communication pathways between the brain and muscles. This study aims to examine the corticomuscular connectivity of three Electroencephalography (EEG) channels and five muscles during object manipulation tasks involving contact surfaces of Sandpaper, Suede, and Silk. The analyses included 12 healthy subjects performing tasks with their right hand. Power-Based Connectivity (PBC) and Mutual Information (MI) measures were utilized to evaluate significant differences in connectivity between contact surfaces, EEG channels, muscles, and frequency bands. The research yielded the following findings: Suede contact surface exhibited higher connectivity; Mu and Gamma frequency bands exerted greater influence; significant connectivity was observed between the three EEG channels ( , , ) and the Anterior Deltoid (AD) and Brachioradialis (B) muscles; and connectivity was primarily involved during active movement in the AD muscle compared to the resting state. These findings suggest potential implementation in motor rehabilitation for more complex movements using novel alternative training systems with high effectiveness.
在具有不同触觉感受的物体操作任务中，皮质-肌肉连接的影响尚未得到定量研究。连接性分析能够研究运动过程中的皮质效应和肌肉反应，揭示大脑与肌肉之间的通信通路。本研究旨在检查在涉及砂纸、绒面革和丝绸接触表面的物体操作任务期间，三个脑电图（EEG）通道和五块肌肉的皮质-肌肉连接性。分析包括12名健康受试者用右手执行任务。基于功率的连接性（PBC）和互信息（MI）测量被用于评估接触表面、EEG通道、肌肉和频段之间连接性的显著差异。该研究得出了以下发现：绒面革接触表面表现出更高的连接性；μ和γ频段发挥了更大的影响；在三个EEG通道（ 、 、 ）与三角肌前束（AD）和桡侧腕短伸肌（B）之间观察到显著的连接性；与静息状态相比，AD肌肉在主动运动期间连接性主要起作用。这些发现表明，使用具有高效性的新型替代训练系统，在更复杂运动的运动康复中具有潜在的应用。
