Literature DB >> 25528285

Lexical and sublexical orthographic processing: an ERP study with skilled and dyslexic adult readers.

Susana Araújo1, Luís Faísca2, Inês Bramão3, Alexandra Reis2, Karl Magnus Petersson4.   

Abstract

This ERP study investigated the cognitive nature of the P1-N1 components during orthographic processing. We used an implicit reading task with various types of stimuli involving different amounts of sublexical or lexical orthographic processing (words, pseudohomophones, pseudowords, nonwords, and symbols), and tested average and dyslexic readers. An orthographic regularity effect (pseudowords-nonwords contrast) was observed in the average but not in the dyslexic group. This suggests an early sensitivity to the dependencies among letters in word-forms that reflect orthographic structure, while the dyslexic brain apparently fails to be appropriately sensitive to these complex features. Moreover, in the adults the N1-response may already reflect lexical access: (i) the N1 was sensitive to the familiar vs. less familiar orthographic sequence contrast; (ii) and early effects of the phonological form (words-pseudohomophones contrast) were also found. Finally, the later N320 component was attenuated in the dyslexics, suggesting suboptimal processing in later stages of phonological analysis.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Dyslexia; ERPs; Orthographic processing; Phonological processing

Mesh:

Year:  2014        PMID: 25528285     DOI: 10.1016/j.bandl.2014.11.007

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


  9 in total

1.  Typical and Atypical Development of Visual Expertise for Print as Indexed by the Visual Word N1 (N170w): A Systematic Review.

Authors:  Kathleen Kay Amora; Ariane Tretow; Cara Verwimp; Jurgen Tijms; Paavo H T Leppänen; Valéria Csépe
Journal:  Front Neurosci       Date:  2022-06-30       Impact factor: 5.152

2.  Orthographic processing is a key predictor of reading fluency in good and poor readers in a transparent orthography.

Authors:  Natalia V Rakhlin; Catalina Mourgues; Cláudia Cardoso-Martins; Alexander N Kornev; Elena L Grigorenko
Journal:  Contemp Educ Psychol       Date:  2019-01-07

3.  N1 lateralization and dyslexia: An event-related potential study in children with a familial risk of dyslexia.

Authors:  Ellie R H van Setten; Natasha M Maurits; Ben A M Maassen
Journal:  Dyslexia       Date:  2018-11-08

4.  Can a lexical decision task predict efficiency in the judgment of ambiguous sentences?

Authors:  Paulo Guirro Laurence; Tatiana Matheus Pinto; Alexandre Tadeu Faé Rosa; Elizeu Coutinho Macedo
Journal:  Psicol Reflex Crit       Date:  2018-06-15

5.  How are visual words represented? Insights from EEG-based visual word decoding, feature derivation and image reconstruction.

Authors:  Shouyu Ling; Andy C H Lee; Blair C Armstrong; Adrian Nestor
Journal:  Hum Brain Mapp       Date:  2019-08-12       Impact factor: 5.038

6.  Frequency Effects on Spelling Error Recognition: An ERP Study.

Authors:  Ekaterina V Larionova; Olga V Martynova
Journal:  Front Psychol       Date:  2022-04-14

7.  Visual Occipito-Temporal N1 Sensitivity to Digits Across Elementary School.

Authors:  Gorka Fraga-González; Sarah V Di Pietro; Georgette Pleisch; Susanne Walitza; Daniel Brandeis; Iliana I Karipidis; Silvia Brem
Journal:  Front Hum Neurosci       Date:  2022-07-26       Impact factor: 3.473

8.  Deficient Letter-Speech Sound Integration Is Associated With Deficits in Reading but Not Spelling.

Authors:  Ferenc Kemény; Melanie Gangl; Chiara Banfi; Sarolta Bakos; Corinna M Perchtold; Ilona Papousek; Kristina Moll; Karin Landerl
Journal:  Front Hum Neurosci       Date:  2018-11-14       Impact factor: 3.169

Review 9.  Evidence from ERP and Eye Movements as Markers of Language Dysfunction in Dyslexia.

Authors:  Aikaterini Premeti; Maria Pia Bucci; Frédéric Isel
Journal:  Brain Sci       Date:  2022-01-01
  9 in total

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