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Co-registration of eye movements and neuroimaging for studying contextual predictions in natural reading

机译:眼动和神经影像的共同配准用于研究自然阅读中的情景预测

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摘要

Sixteen years ago, Sereno and Rayner (2003. Measuring word recognition in reading: eye movements and event-related potentials. , (11), 489–493) illustrated how “by means of review and comparison” eye movement (EM) and event-related potential (ERP) studies may advance our understanding of visual word recognition. Attempts to simultaneously record EMs and ERPs soon followed. Recently, this co-registration approach has also been transferred to fMRI and oscillatory EEG. With experimental settings close to natural reading, co-registration enables us to directly integrate insights from EM and neuroimaging studies. This should extend current experimental paradigms by moving the field towards studying sentence-level processing including effects of context and parafoveal preview. This article will introduce the basic principles and applications of co-registration and selectively review how this approach may shed light on one of the most controversially discussed issues in reading research, contextual predictions in online language processing.
机译:十六年前,Sereno和Rayner(2003.测量阅读中的单词识别:眼睛运动和与事件相关的电位。,(11),489-493)说明了如何“通过回顾和比较”眼睛运动(EM)和事件相关电位(ERP)研究可能会增进我们对视觉单词识别的理解。随后很快尝试同时记录EM和ERP。最近,这种共同注册方法也已经转移到功能磁共振成像和振荡性脑电图上。通过接近自然阅读的实验设置,共配准使我们能够直接整合来自EM和神经成像研究的见解。这应该通过将领域移至研究句子级处理(包括上下文和副凹预览的效果)来扩展当前的实验范式。本文将介绍共注册的基本原理和应用,并有选择地回顾这种方法如何阐明阅读研究中最有争议的讨论问题之一,以及在线语言处理中的上下文预测。

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