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眼球运动与自然阅读中的 EEG 配准:分析与综述。

Coregistration of eye movements and EEG in natural reading: analyses and review.

机构信息

Department of Psychology, Universitat Potsdam, Germany.

出版信息

J Exp Psychol Gen. 2011 Nov;140(4):552-72. doi: 10.1037/a0023885.

Abstract

Brain-electric correlates of reading have traditionally been studied with word-by-word presentation, a condition that eliminates important aspects of the normal reading process and precludes direct comparisons between neural activity and oculomotor behavior. In the present study, we investigated effects of word predictability on eye movements (EM) and fixation-related brain potentials (FRPs) during natural sentence reading. Electroencephalogram (EEG) and EM (via video-based eye tracking) were recorded simultaneously while subjects read heterogeneous German sentences, moving their eyes freely over the text. FRPs were time-locked to first-pass reading fixations and analyzed according to the cloze probability of the currently fixated word. We replicated robust effects of word predictability on EMs and the N400 component in FRPs. The data were then used to model the relation among fixation duration, gaze duration, and N400 amplitude, and to trace the time course of EEG effects relative to effects in EM behavior. In an extended Methodological Discussion section, we review 4 technical and data-analytical problems that need to be addressed when FRPs are recorded in free-viewing situations (such as reading, visual search, or scene perception) and propose solutions. Results suggest that EEG recordings during normal vision are feasible and useful to consolidate findings from EEG and eye-tracking studies.

摘要

脑电活动与阅读的相关性传统上是通过逐字呈现来研究的,这种条件消除了正常阅读过程的重要方面,并排除了神经活动和眼动行为之间的直接比较。在本研究中,我们研究了词可预测性对自然句子阅读过程中的眼动(EM)和与注视相关的脑电位(FRP)的影响。在受试者阅读异构德语句子时,同时记录脑电图(EEG)和 EM(通过基于视频的眼动追踪),眼睛可以自由地在文本上移动。FRP 与首次阅读注视时间锁定,并根据当前注视词的 cloze 概率进行分析。我们复制了词可预测性对 EM 和 FRP 中的 N400 成分的强大影响。然后,将数据用于对注视持续时间、凝视持续时间和 N400 幅度之间的关系进行建模,并追踪 EEG 效应相对于 EM 行为效应的时间进程。在扩展的方法讨论部分中,我们回顾了在自由观看情况下(如阅读、视觉搜索或场景感知)记录 FRP 时需要解决的 4 个技术和数据分析问题,并提出了解决方案。结果表明,在正常视觉期间进行 EEG 记录是可行且有用的,可以巩固 EEG 和眼动追踪研究的结果。

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