Univ. Lille, CNRS, UMR 9193, SCALab-Sciences Cognitives et Sciences Affectives, F-59000 Lille, France.
Univ. Lille, CNRS, UMR 9193, SCALab-Sciences Cognitives et Sciences Affectives, F-59000 Lille, France.
Int J Psychophysiol. 2022 Aug;178:9-21. doi: 10.1016/j.ijpsycho.2022.06.003. Epub 2022 Jun 7.
In natural listening situations, understanding spoken sentences requires interactions between several multisensory to linguistic levels of information. In two electroencephalographical studies, we examined the neuronal oscillations of linguistic prediction produced by unimodal and bimodal sentence listening to observe how these brain correlates were affected by the sensory streams delivering linguistic information. Sentence contexts which were strongly predictive of a particular word were ended by a possessive adjective matching or not the gender of the predicted word. Alpha, beta and gamma oscillations were investigated as they were considered to play a crucial role in the predictive process. During the audiovisual or auditory-only listening to sentences, no evidence of word prediction was observed. In contrast, in a more challenging listening situation during which bimodal audiovisual streams switched to unimodal auditory stream, gamma power was sensitive to word prediction based on prior sentence context. Results suggest that prediction spreading from higher sentence levels to lower word levels is optional during unimodal and bimodal sentence listening and is observed when the listening situation is more challenging. Alpha and beta oscillations were found to decrease when semantically constraining sentences were delivered in the audiovisual modality in comparison with the auditory-only modality. Altogether, our findings bear major implications for our understanding of the neural mechanisms that support predictive processing in multimodal language comprehension.
在自然聆听环境中,理解口语句子需要在几个多感官和语言层次的信息之间进行交互。在两项脑电图研究中,我们研究了单模态和双模态句子聆听产生的语言预测的神经元振荡,以观察这些大脑相关性如何受到传递语言信息的感觉流的影响。强烈预测特定单词的句子上下文由与预测单词性别匹配或不匹配的所有格形容词结尾。研究了 alpha、beta 和 gamma 振荡,因为它们被认为在预测过程中起着至关重要的作用。在聆听句子时,无论是视听模式还是仅听觉模式,都没有观察到单词预测的证据。相比之下,在更具挑战性的聆听情况下,当双模态视听流切换到单模态听觉流时,基于先前句子上下文的单词预测对 gamma 功率敏感。结果表明,在单模态和双模态句子聆听期间,从较高句子层次到较低单词层次的预测扩展是可选的,并且在聆听情况更具挑战性时会观察到。与仅听觉模式相比,在视听模式下传递语义约束句子时,发现 alpha 和 beta 振荡减小。总之,我们的发现对理解支持多模态语言理解中预测处理的神经机制具有重要意义。