Song Seongmi, Nordin Andrew D
Department of Health and Kinesiology, Texas A&M University, College Station, TX, United States.
Department of Biomedical Engineering, Texas A&M University, College Station, TX, United States.
Front Hum Neurosci. 2021 Nov 10;15:749017. doi: 10.3389/fnhum.2021.749017. eCollection 2021.
Walking or running in real-world environments requires dynamic multisensory processing within the brain. Studying supraspinal neural pathways during human locomotion provides opportunities to better understand complex neural circuity that may become compromised due to aging, neurological disorder, or disease. Knowledge gained from studies examining human electrical brain dynamics during gait can also lay foundations for developing locomotor neurotechnologies for rehabilitation or human performance. Technical barriers have largely prohibited neuroimaging during gait, but the portability and precise temporal resolution of non-invasive electroencephalography (EEG) have expanded human neuromotor research into increasingly dynamic tasks. In this narrative mini-review, we provide a (1) brief introduction and overview of modern neuroimaging technologies and then identify considerations for (2) mobile EEG hardware, (3) and data processing, (4) including technical challenges and possible solutions. Finally, we summarize (5) knowledge gained from human locomotor control studies that have used mobile EEG, and (6) discuss future directions for real-world neuroimaging research.
在现实环境中行走或跑步需要大脑进行动态多感官处理。研究人类运动过程中的脊髓上神经通路，为更好地理解可能因衰老、神经紊乱或疾病而受损的复杂神经回路提供了机会。从研究人类步态期间脑电动力学中获得的知识，也可为开发用于康复或人类表现的运动神经技术奠定基础。技术障碍在很大程度上限制了步态期间的神经成像，但无创脑电图（EEG）的便携性和精确的时间分辨率，已将人类神经运动研究扩展到日益动态的任务中。在这篇叙述性小型综述中，我们（1）简要介绍和概述现代神经成像技术，然后确定（2）移动EEG硬件、（3）数据处理方面的注意事项，（4）包括技术挑战和可能的解决方案。最后，我们总结（5）从使用移动EEG的人类运动控制研究中获得的知识，（6）并讨论现实世界神经成像研究的未来方向。
