Decoding the Neural Dynamics of Headed Syntactic Structure Building.

IF 4 2区 医学 Q1 NEUROSCIENCES Journal of Neuroscience Pub Date : 2025-04-23 DOI:10.1523/JNEUROSCI.2126-24.2025
Junyuan Zhao 赵隽元, Ruimin Gao 高睿敏, Jonathan R Brennan
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Abstract

The brain builds hierarchical phrases during language comprehension; however, the details and dynamics of the phrase-building process remain underspecified. This study directly probes whether the neural code of verb phrases involves reactivating the syntactic property of a key subcomponent (the "head" verb). To this end, we train a part-of-speech sliding-window verb/adverb decoder on EEG signals recorded while 30 participants read sentences in a controlled experiment. The decoder reaches above-chance performance that is spatiotemporally consistent and generalizes to unseen data across sentence positions. Applying the decoder to held-out data yields predicted activation levels for the verbal "head" of a verb phrase at a distant nonhead word (adverb); the critical adverb appeared either at the end of a verb phrase or at a sequentially and lexically matched position with no verb phrase boundary. There is stronger verb activation beginning at ∼600 milliseconds at the critical adverb when it appears at a verb phrase boundary; this effect is not modulated by the strength of conceptual association nor does it reflect word predictability. Time-locked analyses additionally reveal a negativity waveform component and increased beta-delta inter-trial phase coherence, both previously linked to linguistic composition, in a similar time window. With a novel application of neural decoding, our findings delineate the dynamics by which the brain encodes phrasal representations by, in part, reactivating the representation of key subcomponents. We thus establish a link between cognitive accounts of phrasal representations and electrophysiological dynamics.

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标题句法结构构建的神经动态解码
在语言理解过程中,大脑会构建分层短语;但是,建立短语过程的代表性细节和动态仍然没有明确规定。本研究直接探讨了动词短语的神经编码是否涉及一个关键子成分(“头”动词)的句法特性的重新激活。为此,我们对30名参与者(17名女性)在对照实验中阅读句子时记录的脑电图信号进行了词性滑动窗口神经解码器(动词与副词)的训练。解码器达到了高于机会的性能,它是时空一致的,并推广到句子位置上看不见的数据。将解码器应用于伸出的数据,可以得到一个动词短语的动词“头部”在一个遥远的非头部词(副词)上的预测激活水平;批评副词出现在动词短语的末尾,或者出现在没有动词短语边界的顺序和词汇匹配的位置。当关键副词出现在动词短语边界时,在约600毫秒处开始有更强的动词激活;这种效应不受动词短语中两个子成分之间概念关联强度的调节,也不反映单词的可预测性。时间锁定分析还揭示了在类似的时间窗口内,负性波形成分和增加的β - δ试验间相位相干性,这两者之前都与语言成分有关。通过神经解码的新应用,我们的发现描绘了大脑通过部分重新激活关键子组件的表征来编码短语表征的动态。因此,我们建立了短语表征的认知账户和电生理动力学之间的联系。神经影像学研究表明,大脑构建分层语言表征。然而,目前的证据并没有详细说明最小层次单位,即短语的细节。另一方面,理论共识假设短语的属性来自于一个关键的子成分,即所谓的“头部”。在这里,我们探索标题短语的神经编码。利用神经解码技术的进步,本研究引入了一个训练-预测管道来探测电生理记录中短语头的激活动态。我们的分析为短语的神经表征提供了新的证据,即在短语边界,短语的头部被重新激活并整合到更高层次的表征中。这是在句子层面理解语言理解的神经基础的基本步骤。
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来源期刊
Journal of Neuroscience
Journal of Neuroscience 医学-神经科学
CiteScore
9.30
自引率
3.80%
发文量
1164
审稿时长
12 months
期刊介绍: JNeurosci (ISSN 0270-6474) is an official journal of the Society for Neuroscience. It is published weekly by the Society, fifty weeks a year, one volume a year. JNeurosci publishes papers on a broad range of topics of general interest to those working on the nervous system. Authors now have an Open Choice option for their published articles
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