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在自然阅读和听力任务中,由说话者引起的 EEG 抑制。

Speaker-induced Suppression in EEG during a Naturalistic Reading and Listening Task.

机构信息

The University of Texas at Austin.

出版信息

J Cogn Neurosci. 2023 Oct 1;35(10):1538-1556. doi: 10.1162/jocn_a_02037.

Abstract

Speaking elicits a suppressed neural response when compared with listening to others' speech, a phenomenon known as speaker-induced suppression (SIS). Previous research has focused on investigating SIS at constrained levels of linguistic representation, such as the individual phoneme and word level. Here, we present scalp EEG data from a dual speech perception and production task where participants read sentences aloud then listened to playback of themselves reading those sentences. Playback was separated into immediate repetition of the previous trial and randomized repetition of a former trial to investigate if forward modeling of responses during passive listening suppresses the neural response. Concurrent EMG was recorded to control for movement artifact during speech production. In line with previous research, ERP analyses at the sentence level demonstrated suppression of early auditory components of the EEG for production compared with perception. To evaluate whether linguistic abstractions (in the form of phonological feature tuning) are suppressed during speech production alongside lower-level acoustic information, we fit linear encoding models that predicted scalp EEG based on phonological features, EMG activity, and task condition. We found that phonological features were encoded similarly between production and perception. However, this similarity was only observed when controlling for movement by using the EMG response as an additional regressor. Our results suggest that SIS operates at a sensory representational level and is dissociated from higher order cognitive and linguistic processing that takes place during speech perception and production. We also detail some important considerations when analyzing EEG during continuous speech production.

摘要

与聆听他人的演讲相比,说话会引发被抑制的神经反应,这种现象被称为说话者诱导抑制(SIS)。先前的研究主要集中在调查语言表达的受限水平上的 SIS,例如单个音素和单词水平。在这里,我们展示了来自双重言语感知和产生任务的头皮 EEG 数据,其中参与者大声朗读句子,然后听自己朗读那些句子的回放。回放分为前一个试验的即时重复和前一个试验的随机重复,以调查在被动聆听过程中对反应的前馈建模是否抑制了神经反应。同时记录 EMG 以控制言语产生过程中的运动artifact。与先前的研究一致,句子水平的 ERP 分析表明,与感知相比,产生时会抑制 EEG 的早期听觉成分。为了评估在言语产生过程中是否与较低层次的声学信息一起抑制了语言抽象(以语音特征调谐的形式),我们拟合了线性编码模型,该模型基于语音特征、EMG 活动和任务条件预测头皮 EEG。我们发现,在产生和感知之间,语音特征的编码方式相似。然而,只有在通过将 EMG 响应用作附加回归量来控制运动时,才会观察到这种相似性。我们的结果表明,SIS 在感觉表示水平上起作用,并且与在言语感知和产生过程中发生的高级认知和语言处理分离。我们还详细介绍了在分析连续言语产生过程中的 EEG 时需要考虑的一些重要问题。

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