ArticlePLoS biology2020
Cortical tracking of speech in noise accounts for reading strategies in children.
Article in PLoS biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Towards a Brain-Computer Interface (BCI) for Improving Phonological Processing in Developmental Dyslexia: An Exploratory Study.The European journal of neuroscience · 2026Article
- Anatomical and behavioural correlates of auditory perception in developmental dyslexia.Brain : a journal of neurology · 2025Article
- Early language experience modulates the tradeoff between acoustic-temporal and lexico-semantic cortical tracking of speech.iScience · 2024Article
- Atypical low-frequency cortical encoding of speech identifies children with developmental dyslexia.Frontiers in human neuroscience · 2024Article
- Neural responses to natural and enhanced speech edges in children with and without dyslexia.Frontiers in human neuroscience · 2023Article
- Individuals' preference on reading pathways influences the involvement of neural pathways in phonological learning.Frontiers in psychology · 2022Article
- Speech perception deficits and the effect of envelope-enhanced story listening combined with phonics intervention in pre-readers at risk for dyslexia.Frontiers in psychology · 2022Article
- Neural tracking in infants - An analytical tool for multisensory social processing in development.Developmental cognitive neuroscience · 2021Article
- Can youImaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
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Authors and funding
11 authors.
Funding
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.
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