Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, USA.
Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, USA; Department of Psychology, University of Illinois Urbana-Champaign, USA; Program in Neuroscience, University of Illinois Urbana-Champaign, USA.
Brain Res. 2021 Aug 1;1764:147466. doi: 10.1016/j.brainres.2021.147466. Epub 2021 Apr 20.
Although we often seem to successfully comprehend language in the face of distraction, few studies have examined the role of sustained attention in critical components of sentence processing, such as integrating information over a sentence and revising predictions when unexpected information is encountered. The current study investigated the impact of attention on sentence processing using a novel dual-task paradigm. Participants read weakly and strongly constraining sentences with expected or unexpected endings while also tracking the motion of dots in the background, and their EEG was recorded. Under full attention, the amplitude of the N400 component of the ERP, a measure of semantic access, was reduced (facilitated) in a graded fashion by contextual strength and fit. This context-based facilitation was attenuated when attention was divided, suggesting that sustained attention is important for building up message-level representations. In contrast, the post-N400 frontal positivity that has been observed to prediction violations and associated with revision processes was unaffected by dividing attention. However, under divided attention, participants also elicited posteriorly-distributed effects to these violations. Thus, predictive processes seem to be engaged even when attention is divided, but additional resources may then be required to process unexpected information.
虽然我们在分心的情况下似乎经常能够成功地理解语言,但很少有研究探讨持续注意力在句子处理的关键组成部分中的作用,例如在句子中整合信息,以及在遇到意外信息时修改预测。本研究使用一种新颖的双重任务范式来调查注意力对句子处理的影响。参与者在阅读具有预期或意外结尾的弱约束和强约束句子的同时,还跟踪背景中的点的运动,同时记录他们的脑电图。在全神贯注的情况下,ERP 中 N400 成分(语义访问的一种衡量标准)的幅度会根据上下文的强度和适配度以分级的方式减少(促进)。当注意力分散时,这种基于上下文的促进作用会减弱,这表明持续注意力对于构建信息级别的表示很重要。相比之下,已经观察到在预测违反和与修订过程相关的 N400 后额正性波不受注意力分散的影响。然而,在注意力分散的情况下,参与者也会对这些违反产生分布在后脑的效应。因此,即使注意力分散,预测过程似乎也会被激活,但可能需要额外的资源来处理意外信息。