Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada.
Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi", University of Bologna.
Brain Res. 2022 Apr 15;1781:147778. doi: 10.1016/j.brainres.2022.147778. Epub 2022 Jan 7.
Covert speech, the mental imagery of speaking, has been studied increasingly to understand and decode thoughts in the context of brain-computer interfaces. In studies of speech comprehension, neural oscillations are thought to play a key role in the temporal encoding of speech. However, little is known about the role of oscillations in covert speech. In this study, we investigated the oscillatory involvements in covert speech and speech perception. Data were collected from 10 participants with 64 channel EEG. Participants heard the words, 'blue' and 'orange', and subsequently mentally rehearsed them. First, continuous wavelet transform was performed on epoched signals and subsequently two-tailed t-tests between two classes (tasks) were conducted to determine statistical differences in frequency and time (t-CWT). In the current experiment, a task comprised speech perception or covert rehearsal of a word while a condition was the discrimination between tasks. Features were extracted using t-CWT and subsequently classified using a support vector machine. θ and γ phase amplitude coupling (PAC) was also assessed within tasks and across conditions between perception and covert activities (i.e. cross-task). All binary classifications accuracies (80-90%) significantly exceeded chance level, supporting the use of t-CWT in determining relative oscillatory involvements. While the perception condition dynamically invoked all frequencies with more prominent θ and α activity, the covert condition favoured higher frequencies with significantly higher γ activity than perception. Moreover, the perception condition produced significant θ-γ PAC, possibly corroborating a reported linkage between syllabic and phonemic sampling. Although this coupling was found to be suppressed in the covert condition, we found significant cross-task coupling between perception θ and covert speech γ. Covert speech processing appears to be largely associated with higher frequencies of EEG. Importantly, the significant cross-task coupling between speech perception and covert speech, in the absence of within-task covert speech PAC, seems to support the notion that the γ- and θ-bands reflect, respectively, shared and unique encoding processes across tasks.
隐性言语,即言语表象,在脑机接口背景下,人们对其的研究逐渐增多,旨在理解和解码思维。在言语理解研究中,神经振荡被认为在言语的时间编码中起着关键作用。然而,对于隐性言语中的振荡作用,我们知之甚少。在这项研究中,我们研究了隐性言语和言语感知中的振荡作用。研究数据来自 10 名参与者的 64 通道 EEG。参与者听到“blue”和“orange”这两个词,然后在头脑中进行复述。首先,对分段信号进行连续小波变换,然后对两类(任务)之间进行双尾 t 检验,以确定频率和时间(t-CWT)上的统计差异。在当前实验中,一个任务由感知言语或隐性言语复述一个词组成,而一个条件是任务之间的区别。使用 t-CWT 提取特征,然后使用支持向量机进行分类。还在任务内和感知与隐性活动(即跨任务)之间的条件下评估θ和γ相位振幅耦合(PAC)。所有二元分类准确率(80-90%)都显著超过了随机水平,支持使用 t-CWT 来确定相对振荡作用。虽然感知条件动态地调用了所有频率,表现出更显著的θ和α活动,但隐性条件更有利于高频,其γ活动明显高于感知条件。此外,感知条件产生了显著的θ-γ PAC,可能与报告的音节和音位采样之间的联系相吻合。虽然在隐性条件下发现了这种耦合被抑制,但我们发现了感知θ和隐性言语γ之间的显著跨任务耦合。隐性言语处理似乎与 EEG 的高频密切相关。重要的是,在隐性言语任务中没有 PAC 的情况下,言语感知和隐性言语之间的显著跨任务耦合,似乎支持了这样的观点,即γ带和θ带分别反映了任务之间共享和独特的编码过程。