Townsend Ben, Legere Joey K, Mohrenschildt Martin V, Shedden Judith M
Psychology, Neuroscience & Behaviour, Science, McMaster University, Hamilton, Ontario, Canada.
Computing and Software, Engineering, McMaster University, Hamilton, Ontario, Canada.
Neuroimage Rep. 2022 May 28;2(3):100102. doi: 10.1016/j.ynirp.2022.100102. eCollection 2022 Sep.
Human self-motion perception largely relies on the integration of the visual, vestibular and proprioceptive systems. Much behavioral research has been conducted in order to understand this integration process; however, little is known about the online processes in humans during self-motion perception. Of the few studies to physically move human participants with full-body motion while recording the brain, most have used EEG due to its relative mobility. Past research provides evidence that multisensory self-motion perception elicits theta, alpha, and beta oscillations. It is important, however, to understand the individual contribution of each sense to fully understand how these oscillatory frequencies contribute to self-motion perception. To our knowledge, there has yet to be a study that directly compares the EEG correlates of visual self-motion with a no-motion physical input, versus physical-self motion with a no-motion visual input. We recorded event-related spectral power within a motion simulator controlled by a MOOG Stewart platform. Participants were given a visual or physical stimulus and made heading direction judgments. Compared to physical-only trials, visual-only trials produced earlier theta ERS and alpha ERD early in the trial, and more robust beta ERS late in the trial. We suggest beta-band power is likely associated with the process of visual-vestibular weighting. Moreover, within the right motor area, we found differences in theta power associated with left versus right headings. Theta ERS in the right motor area appears to be associated with heading processing for both the visual and vestibular systems but is minimally affected by multisensory weighting.
人类的自我运动感知在很大程度上依赖于视觉、前庭和本体感觉系统的整合。为了理解这一整合过程，已经进行了大量的行为研究；然而，对于人类在自我运动感知过程中的在线过程却知之甚少。在少数几项在记录大脑活动的同时让人类参与者进行全身运动的研究中，由于脑电图（EEG）相对便于移动，大多数研究都使用了EEG。过去的研究提供了证据，表明多感官自我运动感知会引发theta、alpha和beta振荡。然而，要全面理解这些振荡频率如何促进自我运动感知，了解每种感觉的个体贡献非常重要。据我们所知，尚未有研究直接比较视觉自我运动与无运动身体输入的EEG相关性，以及身体自我运动与无运动视觉输入的EEG相关性。我们在由穆格Stewart平台控制的运动模拟器中记录了事件相关频谱功率。参与者接受视觉或身体刺激，并做出航向判断。与仅身体刺激的试验相比，仅视觉刺激的试验在试验早期产生了更早的theta事件相关同步（ERS）和alpha事件相关去同步（ERD），在试验后期产生了更强的beta ERS。我们认为beta频段功率可能与视觉 - 前庭加权过程有关。此外，在右侧运动区域，我们发现与向左和向右航向相关的theta功率存在差异。右侧运动区域的theta ERS似乎与视觉和前庭系统的航向处理都有关，但受多感官加权的影响最小。
