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Identifying objective EEG based markers of linear vection in depth

机译:识别基于目标EEG的深度直线运动标记

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摘要

This proof-of-concept study investigated whether a time-frequency EEG approach could be used to examine vection (i.e., illusions of self-motion). In the main experiment, we compared the event-related spectral perturbation (ERSP) data of 10 observers during and directly after repeated exposures to two different types of optic flow display (each was 35° wide by 29° high and provided 20 s of motion stimulation). Displays consisted of either a vection display (which simulated constant velocity forward self-motion in depth) or a control display (a spatially scrambled version of the vection display). ERSP data were decomposed using time-frequency Principal Components Analysis (t-f PCA). We found an increase in 10 Hz alpha activity, peaking some 14 s after display motion commenced, which was positively associated with stronger vection ratings. This followed decreases in beta activity, and was also followed by a decrease in delta activity; these decreases in EEG amplitudes were negatively related to the intensity of the vection experience. After display motion ceased, a series of increases in the alpha band also correlated with vection intensity, and appear to reflect vection- and/or motion-aftereffects, as well as later cognitive preparation for reporting the strength of the vection experience. Overall, these findings provide support for the notion that EEG can be used to provide objective markers of changes in both vection status (i.e., \u22vection/no vection\u22) and vection strength.
机译:这项概念验证研究调查了是否可以使用时频EEG方法来检查运动(即自我运动的幻觉)。在主要实验中,我们比较了10位观察者在两次和两种不同类型的光学流量显示器(分别宽35°×高29°和提供20 s运动)反复曝光期间和之后的事件相关光谱扰动(ERSP)数据。刺激)。显示器由对流显示器(模拟恒定速度向前的深度自向运动)或控制显示器(对对流显示器的空间打乱版本)组成。使用时频主成分分析(t-f PCA)分解ERSP数据。我们发现10 Hz的α活性增加,在显示运动开始后约14 s达到峰值,这与较强的额定风速正相关。随之而来的是β活性的降低,以及δ活性的降低。脑电振幅的这些下降与通气经验的强度负相关。在显示运动停止后,阿尔法带的一系列增加也与运动强度相关,并似乎反映了运动和/或运动后效应,以及后来的认知准备,以报告运动经验的强度。总体而言,这些发现为以下观点提供了支持:EEG可用于提供对风状态(即对风/不对风)和对风强度的变化的客观标记。

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