Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, 16132 Genoa, Italy.
Research Center for Motor Control and Neuroplasticity, KU Leuven, 3001 Leuven, Belgium.
Sensors (Basel). 2024 Apr 30;24(9):2875. doi: 10.3390/s24092875.
Walking encompasses a complex interplay of neuromuscular coordination and cognitive processes. Disruptions in gait can impact personal independence and quality of life, especially among the elderly and neurodegenerative patients. While traditional biomechanical analyses and neuroimaging techniques have contributed to understanding gait control, they often lack the temporal resolution needed for rapid neural dynamics. This study employs a mobile brain/body imaging (MoBI) platform with high-density electroencephalography (hd-EEG) to explore event-related desynchronization and synchronization (ERD/ERS) during overground walking. Simultaneous to hdEEG, we recorded gait spatiotemporal parameters. Participants were asked to walk under usual walking and dual-task walking conditions. For data analysis, we extracted ERD/ERS in α, β, and γ bands from 17 selected regions of interest encompassing not only the sensorimotor cerebral network but also the cognitive and affective networks. A correlation analysis was performed between gait parameters and ERD/ERS intensities in different networks in the different phases of gait. Results showed that ERD/ERS modulations across gait phases in the α and β bands extended beyond the sensorimotor network, over the cognitive and limbic networks, and were more prominent in all networks during dual tasks with respect to usual walking. Correlation analyses showed that a stronger α ERS in the initial double-support phases correlates with shorter step length, emphasizing the role of attention in motor control. Additionally, β ERD/ERS in affective and cognitive networks during dual-task walking correlated with dual-task gait performance, suggesting compensatory mechanisms in complex tasks. This study advances our understanding of neural dynamics during overground walking, emphasizing the multidimensional nature of gait control involving cognitive and affective networks.
行走涵盖了复杂的神经肌肉协调和认知过程的相互作用。步态的紊乱会影响个人的独立性和生活质量,尤其是在老年人和神经退行性疾病患者中。虽然传统的生物力学分析和神经影像学技术有助于理解步态控制,但它们往往缺乏快速神经动力学所需的时间分辨率。本研究采用具有高密度脑电图(hd-EEG)的移动脑/体成像(MoBI)平台,探索在地面行走过程中的事件相关去同步化和同步化(ERD/ERS)。同时记录 hd-EEG 和步态时空参数。要求参与者在常规行走和双重任务行走条件下行走。在数据分析中,我们从包括感觉运动大脑网络以及认知和情感网络的 17 个感兴趣区域中提取了α、β和γ频段的 ERD/ERS。在不同的步态阶段,我们对步态参数和不同网络中的 ERD/ERS 强度进行了相关性分析。结果表明,在α和β频段,步态各阶段的 ERD/ERS 调制不仅扩展到了感觉运动网络,还扩展到了认知和边缘网络,在双重任务中比常规行走时更为突出。相关分析表明,初始双支撑阶段的较强α ERS 与较短的步长相关,这强调了注意力在运动控制中的作用。此外,双重任务行走期间情感和认知网络中的β ERD/ERS 与双重任务步态表现相关,这表明在复杂任务中存在补偿机制。本研究提高了我们对地面行走过程中神经动力学的理解,强调了涉及认知和情感网络的步态控制的多维性质。