PDF(Pubmed)
Abstract：
The investigation of gait and its neuronal correlates under more ecologically valid conditions as well as real-time feedback visualization is becoming increasingly important in neuro-motor rehabilitation research. The Gait Real-time Analysis Interactive Lab (GRAIL) offers advanced opportunities for gait and gait-related research by creating more naturalistic yet controlled environments through immersive virtual reality. Investigating the neuronal aspects of gait requires parallel recording of brain activity, such as through mobile electroencephalography (EEG) and/or mobile functional near-infrared spectroscopy (fNIRS), which must be synchronized with the kinetic and /or kinematic data recorded while walking. This proof-of-concept study outlines the required setup by use of the lab streaming layer (LSL) ecosystem for real-time, simultaneous data collection of two independently operating multi-channel EEG and fNIRS measurement devices and gait kinetics. In this context, a customized approach using a photodiode to synchronize the systems is described. This study demonstrates the achievable temporal accuracy of synchronous data acquisition of neurophysiological and kinematic and kinetic data collection in the GRAIL. By using event-related cerebral hemodynamic activity and visually evoked potentials during a start-to-go task and a checkerboard test, we were able to confirm that our measurement system can replicate known physiological phenomena with latencies in the millisecond range and relate neurophysiological and kinetic data to each other with sufficient accuracy.
摘要：
在更生态有效的条件下对步态及其神经元相关性的研究以及实时反馈可视化在神经运动康复研究中变得越来越重要。步态实时分析互动实验室（GRAIL）通过身临其境的虚拟现实创建更自然但受控的环境，为步态和步态相关的研究提供了先进的机会。研究步态的神经元方面需要并行记录大脑活动，例如通过移动脑电图（EEG）和/或移动功能近红外光谱（fNIRS），必须与行走时记录的动力学和/或运动学数据同步。此概念验证研究概述了使用实验室流层(LSL)生态系统进行实时、两个独立操作的多通道EEG和fNIRS测量设备和步态动力学的同时数据收集。在这种情况下，描述了使用光电二极管来同步系统的定制方法。这项研究证明了GRAIL中神经生理学，运动学和动力学数据收集的同步数据采集的可实现的时间准确性。通过在开始任务和棋盘测试中使用事件相关的脑血流动力学活动和视觉诱发电位，我们能够确认我们的测量系统可以复制已知的生理现象，潜伏期在毫秒范围内，并以足够的精度将神经生理学和动力学数据相互关联。
