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单次试验神经动力学揭示了语言理解中的N400和P600耦合。

Single-trial neurodynamics reveal N400 and P600 coupling in language comprehension.

作者信息

Aurnhammer Christoph, Crocker Matthew W, Brouwer Harm

机构信息

Department of Language Science and Technology, Saarland University, Saarbrücken, Germany.

Department of Cognitive Science and Artificial Intelligence, Tilburg University, Tilburg, Netherlands.

出版信息

Cogn Neurodyn. 2024 Dec;18(6):3309-3325. doi: 10.1007/s11571-023-09983-7. Epub 2023 Jun 20.

Abstract

Theories of the electrophysiology of language comprehension are mostly informed by event-related potential effects observed between condition averages. We here argue that a dissociation between competing effect-level explanations of event-related potentials can be achieved by turning to predictions and analyses at the single-trial level. Specifically, we examine the single-trial dynamics in event-related potential data that exhibited a biphasic N400-P600 effect pattern. A group of multi-stream models can explain biphasic effects by positing that each individual trial should induce either an N400 increase or a P600 increase, but not both. An alternative, single-stream account, Retrieval-Integration theory, explicitly predicts that N400 amplitude and P600 amplitude should be correlated at the single-trial level. In order to investigate the single-trial dynamics of the N400 and the P600, we apply a regression-based technique in which we quantify the extent to which N400 amplitudes are predictive of the electroencephalogram in the P600 time window. Our findings suggest that, indeed, N400 amplitudes and P600 amplitudes are inversely correlated within-trial and, hence, the N400 effect and the P600 effect in biphasic data are driven by the same trials. Critically, we demonstrate that this finding also extends to data which exhibited only monophasic effects between conditions. In sum, the observation that the N400 is inversely correlated with the P600 on a by-trial basis supports a single stream view, such as Retrieval-Integration theory, and is difficult to reconcile with the processing mechanisms proposed by multi-stream models.

摘要

语言理解的电生理学理论大多是基于条件平均值之间观察到的事件相关电位效应。我们在此认为,通过转向单试次水平的预测和分析,可以实现对事件相关电位竞争效应水平解释的区分。具体而言,我们研究了呈现双相N400 - P600效应模式的事件相关电位数据中的单试次动态。一组多流模型可以通过假设每个单独的试次应诱导N400增加或P600增加,但不能同时增加,来解释双相效应。另一种单流解释,即检索 - 整合理论,明确预测N400振幅和P600振幅在单试次水平上应该相关。为了研究N400和P600的单试次动态,我们应用了一种基于回归的技术,在该技术中,我们量化了N400振幅在P600时间窗口内预测脑电图的程度。我们的研究结果表明,事实上,N400振幅和P600振幅在试次内呈负相关,因此,双相数据中的N400效应和P600效应是由相同的试次驱动的。至关重要的是,我们证明这一发现也适用于在不同条件下仅呈现单相效应的数据。总之,N400与P600在逐个试次基础上呈负相关的观察结果支持了单流观点,如检索 - 整合理论,并且难以与多流模型提出的处理机制相协调。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9527/11655752/f6cad721a5c1/11571_2023_9983_Fig1_HTML.jpg

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