Literature DB >> 20542549

ERP evidence of hemispheric independence in visual word recognition.

Dan Nemrodov1, Yuval Harpaz, Daniel C Javitt, Michal Lavidor.   

Abstract

This study examined the capability of the left hemisphere (LH) and the right hemisphere (RH) to perform a visual recognition task independently as formulated by the Direct Access Model (Fernandino, Iacoboni, & Zaidel, 2007). Healthy native Hebrew speakers were asked to categorize nouns and non-words (created from nouns by transposing two middle letters) into man-made and natural categories while their performance and ERPs were recorded. The stimuli were presented parafoveally to the right and left visual fields. As predicted by the Direct Access Model, ERP data showed that both the left hemisphere and right hemisphere were able to differentiate between words and non-words as early as 170 ms post-stimulus; these results were significant only for the contralaterally presented stimuli. The N1 component, which is considered to reflect orthographic processing, was larger in both hemispheres in response to the contralateral than the ipsilateral presented stimuli. This finding provides evidence for the RH capability to access higher level lexical information at the early stages of visual word recognition, thus lending weight to arguments for the relatively independent nature of this process.
Copyright © 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20542549     DOI: 10.1016/j.bandl.2010.04.004

Source DB:  PubMed          Journal:  Brain Lang        ISSN: 0093-934X            Impact factor:   2.381


  2 in total

1.  The special role of higher-frequency neighbors at the phonological level: an event-related potential study of chinese character naming.

Authors:  Jing Zhao; John X Zhang; Hong-Yan Bi
Journal:  ISRN Neurosci       Date:  2013-07-02

2.  Different hemispheric specialization for face/word recognition: A high-density ERP study with hemifield visual stimulation.

Authors:  Naomi Takamiya; Toshihiko Maekawa; Takao Yamasaki; Katsuya Ogata; Emi Yamada; Mutsuhide Tanaka; Shozo Tobimatsu
Journal:  Brain Behav       Date:  2020-05-04       Impact factor: 2.708

  2 in total

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