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你能听到即将发生的事情吗?未能重复语音预测的事件相关电位证据。

Can You Hear What's Coming? Failure to Replicate ERP Evidence for Phonological Prediction.

作者信息

Poulton Victoria R, Nieuwland Mante S

机构信息

Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands.

MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK.

出版信息

Neurobiol Lang (Camb). 2022 Sep 22;3(4):556-574. doi: 10.1162/nol_a_00078. eCollection 2022.

Abstract

Prediction-based theories of language comprehension assume that listeners predict both the meaning and phonological form of likely upcoming words. In alleged event-related potential (ERP) demonstrations of phonological prediction, prediction-mismatching words elicit a phonological mismatch negativity (PMN), a frontocentral negativity that precedes the centroparietal N400 component. However, classification and replicability of the PMN has proven controversial, with ongoing debate on whether the PMN is a distinct component or merely an early part of the N400. In this electroencephalography (EEG) study, we therefore attempted to replicate the PMN effect and its separability from the N400, using a participant sample size ( = 48) that was more than double that of previous studies. Participants listened to sentences containing either a predictable word or an unpredictable word with/without phonological overlap with the predictable word. Preregistered analyses revealed a widely distributed negative-going ERP in response to unpredictable words in both the early (150-250 ms) and the N400 (300-500 ms) time windows. Bayes factor analysis yielded moderate evidence against a different scalp distribution of the effects in the two time windows. Although our findings do not speak against phonological prediction during sentence comprehension, they do speak against the PMN effect specifically as a marker of phonological prediction mismatch. Instead of an PMN effect, our results demonstrate the early onset of the auditory N400 effect associated with unpredictable words. Our failure to replicate further highlights the risk associated with commonly employed data-contingent analyses (e.g., analyses involving time windows or electrodes that were selected based on visual inspection) and small sample sizes in the cognitive neuroscience of language.

摘要

基于预测的语言理解理论认为,听众会预测即将出现的单词的含义和语音形式。在所谓的与事件相关电位(ERP)的语音预测演示中,预测不匹配的单词会引发语音失配负波(PMN),这是一种在中央顶叶N400成分之前出现的额中央负波。然而,PMN的分类和可重复性已被证明存在争议,关于PMN是一个独特的成分还是仅仅是N400的早期部分,目前仍在争论中。因此,在这项脑电图(EEG)研究中,我们试图复制PMN效应及其与N400的可分离性,使用的参与者样本量(n = 48)是先前研究的两倍多。参与者听包含可预测单词或不可预测单词的句子,不可预测单词与可预测单词有/无语音重叠。预先注册的分析显示,在早期(150 - 250毫秒)和N400(300 - 500毫秒)时间窗口内,对不可预测单词的反应均出现广泛分布的负向ERP。贝叶斯因子分析产生了中等证据,反对两个时间窗口内效应的头皮分布不同。虽然我们的研究结果并不反对句子理解过程中的语音预测,但它们确实反对将PMN效应专门作为语音预测不匹配的标志。我们的结果没有显示出PMN效应,而是证明了与不可预测单词相关的听觉N400效应的早期出现。我们未能成功复制进一步凸显了在语言认知神经科学中常用的数据依赖分析(例如,涉及基于视觉检查选择的时间窗口或电极的分析)和小样本量所带来的风险。

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