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Cerebral CortexNeurosciencePeer-reviewed journal article

EEG-based speaker-listener neural coupling reflects speech-selective attentional mechanisms beyond the speech stimulus

Jiawei LiiD, Bo HongiD, Guido NolteiD, Andreas Karl EngeliD, Dan ZhangiD

PDFDOIPreprint

Abstract

When we pay attention to someone, do we focus only on the sound they make, the word they use, or do we form a mental space shared with the speaker we want to pay attention to? Some would argue that the human language is no other than a simple signal, but others claim that human beings understand each other not only by relying on the words that have been said but also formed a shared ground in the specific conversation. This debate was raised early, but the conclusion remains vague. Our study aimed to investigate how attention modulates the neural coupling between the speaker and the listener in a cocktail party paradigm. The temporal response function (TRF) method was employed to reveal how the listener was coupled to the speaker at the neural level. The results showed that the neural coupling between the listener and the attended speaker peaked 5 seconds before speech onset at the delta band over the left frontal region, and was correlated with speech comprehension performance. In contrast, the attentional processing of speech acoustics and semantics occurred primarily at a later stage after speech onset and was not significantly correlated with comprehension performance. These findings suggest that our human brain might have adopted a predictive mechanism to achieve speaker-listener neural coupling for successful speech comprehension. Three key pointsO_LIListeners EEG signals coupled to the speakers 5 s before the speech onset, which revealed a "beyond the stimulus" attentional modulation. C_LIO_LISpeaker-listener attentional coupling is correlated to the listeners comprehension performance, but the speech-listeners coupling didnt. C_LIO_LIThe implementation of temporal response function methods and the neural language methods yielded novel perspectives to the analysis of the inter-brain studies. C_LI

Citations
13
FWCI
1.94
Field percentile
top 15%

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