Cortical tracking of speech in noise accounts for reading strategies in children

Destoky, F. et al. (2020) Cortical tracking of speech in noise accounts for reading strategies in children. PLoS Biology, 18(8), e3000840. (doi: 10.1371/journal.pbio.3000840) (PMID:32845876)

[img]
Preview
Text
223135.pdf - Published Version
Available under License Creative Commons Attribution.

2MB

Abstract

Humans’ propensity to acquire literacy relates to several factors, including the ability to understand speech in noise (SiN). Still, the nature of the relation between reading and SiN perception abilities remains poorly understood. Here, we dissect the interplay between (1) reading abilities, (2) classical behavioral predictors of reading (phonological awareness, phonological memory, and rapid automatized naming), and (3) electrophysiological markers of SiN perception in 99 elementary school children (26 with dyslexia). We demonstrate that, in typical readers, cortical representation of the phrasal content of SiN relates to the degree of development of the lexical (but not sublexical) reading strategy. In contrast, classical behavioral predictors of reading abilities and the ability to benefit from visual speech to represent the syllabic content of SiN account for global reading performance (i.e., speed and accuracy of lexical and sublexical reading). In individuals with dyslexia, we found preserved integration of visual speech information to optimize processing of syntactic information but not to sustain acoustic/phonemic processing. Finally, within children with dyslexia, measures of cortical representation of the phrasal content of SiN were negatively related to reading speed and positively related to the compromise between reading precision and reading speed, potentially owing to compensatory attentional mechanisms. These results clarify the nature of the relation between SiN perception and reading abilities in typical child readers and children with dyslexia and identify novel electrophysiological markers of emergent literacy.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Ince, Dr Robin and Gross, Professor Joachim
Creator Roles:
Ince, R. A.A.Methodology, Writing – review and editing
Gross, J.Methodology, Writing – review and editing
Authors: Destoky, F., Bertels, J., Niesen, M., Wens, V., Vander Ghinst, M., Leybaert, J., Lallier, M., Ince, R. A.A., Gross, J., De Tiège, X., and Bourguignon, M.
College/School:College of Medical Veterinary and Life Sciences > School of Psychology & Neuroscience
Journal Name:PLoS Biology
Publisher:Public Library of Science
ISSN:1544-9173
ISSN (Online):1545-7885
Published Online:26 August 2020
Copyright Holders:Copyright © 2020 Destoky et al.
First Published:First published in PLoS Biology 18(8): e3000840
Publisher Policy:Reproduced under a Creative Commons License
Related URLs:

University Staff: Request a correction | Enlighten Editors: Update this record

Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
304240Beyond Pairwise Connectivity: developing an information theoretic hypergraph methodology for multi-modal resting state neuroimaging analysisRobin InceWellcome Trust (WELLCOTR)214120/Z/18/ZNP - Centre for Cognitive Neuroimaging (CCNi)