Cited by 301Reading and Literacy DevelopmentNeurobiology of Language and BilingualismMultisensory perception and integration

The DOI matches its Crossref record; 55 of the 56 references it cites were found in a registry or an index; none of the 39 sources its claims cite is checked for support yet.

Deviant processing of letters and speech sounds as proximate cause of reading failure: A functional magnetic resonance imaging study of dyslexic children.

Open access
Blau, V., Reithler, J., van Atteveldt, N., Seitz, J., Gerretsen, P., Goebel, R., Blomert, L.·2010·Brain

Abstract

Learning to associate auditory information of speech sounds with visual information of letters is a first and critical step for becoming a skilled reader in alphabetic languages. Nevertheless, it remains largely unknown which brain areas subserve the learning and automation of such associations. Here, we employ functional magnetic resonance imaging to study letter-speech sound integration in children with and without developmental dyslexia. The results demonstrate that dyslexic children show reduced neural integration of letters and speech sounds in the planum temporale/Heschl sulcus and the superior temporal sulcus. While cortical responses to speech sounds in fluent readers were modulated by letter-speech sound congruency with strong suppression effects for incongruent letters, no such modulation was observed in the dyslexic readers. Whole-brain analyses of unisensory visual and auditory group differences additionally revealed reduced unisensory responses to letters in the fusiform gyrus in dyslexic children, as well as reduced activity for processing speech sounds in the anterior superior temporal gyrus, planum temporale/Heschl sulcus and superior temporal sulcus. Importantly, the neural integration of letters and speech sounds in the planum temporale/Heschl sulcus and the neural response to letters in the fusiform gyrus explained almost 40% of the variance in individual reading performance. These findings indicate that an interrelated network of visual, auditory and heteromodal brain areas contributes to the skilled use of letter-speech sound associations necessary for learning to read. By extending similar findings in adults, the data furthermore argue against the notion that reduced neural integration of letters and speech sounds in dyslexia reflect the consequence of a lifetime of reading struggle. Instead, they support the view that letter-speech sound integration is an emergent property of learning to read that develops inadequately in dyslexic readers, presumably as a result of a deviant interactive specialization of neural systems for processing auditory and visual linguistic inputs.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

Dyslexic children showed reduced neural integration of letters and speech sounds in left planum temporale/Heschl sulcus and superior temporal sulcus, alongside weaker unisensory responses to speech sounds and letters. The integration and visual letter responses together explained almost 40% of variance in reading performance, suggesting letter-speech sound integration is an emergent property of learning to read that develops inadequately in dyslexia.

Key findings

  • Dyslexic children had reduced congruency effects for letter-speech sound pairs in left planum temporale/Heschl sulcus (117 voxels, t = 16.7, P = 0.00) and bilateral superior temporal sulcus (left: t = 7.73, P = 0.01; right: t = 8.34, P = 0.01); fluent readers showed stronger activation for congruent than incongruent pairs, while dyslexic readers showed no such modulation.
  • Unisensory group differences included weaker speech-sound responses in anterior superior temporal gyrus (left t = 2.89, right t = 2.8, P = 0.01) and weaker letter responses in fusiform gyrus bilaterally (left t = 3.83, P = 0.00; right t = 4.51, P = 0.00) in dyslexic children.
  • The congruency effect in planum temporale/Heschl sulcus and the visual response in fusiform gyrus explained almost 40% of variance in reading performance (R² = 0.39); PT/HS alone: R = 0.51, R² change = 0.27, F = 12.04, P = 0.002; combined model: R = 0.62, R² change = 0.11, F = 5.73, P = 0.023.
  • Attention task performance was comparable: fluent readers mean = 97.91, SEM = 1.55; dyslexic readers mean = 99.08, SEM = 0.55; reaction times 575 ms vs 609 ms, P = 0.10.

Methods

  • fMRI study of 18 dyslexic children (mean age 9.39, SD 0.43, one female) and 16 non-impaired readers (mean age 9.43, SD 0.44, four females), all healthy, right-handed, native Dutch speakers, matched for educational level, age, handedness and IQ.
  • Block design with four conditions: unisensory letters, unisensory speech sounds, multisensory congruent letter-speech sound pairs, and multisensory incongruent pairs; 128 stimuli per condition; children performed an attention detection task; data acquired on a 3 T Siemens scanner and analyzed in BrainVoyager QX using random-effects GLMs, including a 2 × 2 reading status × multisensory condition interaction.
  • Offline standardized battery included reading, phoneme deletion, phonological decoding, and letter-to-sound matching; correlations and stepwise multiple linear regressions related fMRI responses to reading performance.

Limitations

  • The paper states that the linear regression results should be treated with caution because of the small sample size of neuroimaging studies, and that the assumption about child-adult differences needs further empirical validation.
  • Evident from the text: the design is cross-sectional, so it cannot directly establish causality, although the authors argue the integration deficit is not merely a consequence of a lifetime of reading struggle.
  • Evident from the text: brain-behaviour correlations became non-significant when reading group was partialled out, indicating they were driven by group differences in reading ability; the total sample was small (n = 34) and the dyslexic group included only one female.

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Integrity signals

Registry

Crossref · 10.1093/brain/awp308

Cites

55 of 55 references verified0 citation errors · 0 not checkable

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Claims the paper makes

43 Own result · 21 Not checked yet · 16 Own interpretation · 7 Own method

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  • It may state two separate claims as one. 19
  • Probably not a substantial claim. 15
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  • The authors state this as an assumption.

    Faster processing is one of the main indices of automation for a cognitive process.

    “Based on the assumption that faster processing is one of the main indices for the automation of a cognitive process (Schneider and Chein, 2003)”
  • The paper relies on this without support.

    The selected age range is the earliest point at which reading disabilities are typically diagnosed.

    “Importantly, the selected age range coincides with the earliest time in development at which reading disabilities are typically diagnosed and hence one of the earliest possible time-points to investigate the neurocognitive basis of letterspeech sound integration in dyslexia.”
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Citations

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Research works printed but not linked: 6

  1. 2004, 44, 411
  2. 1987, MERILLPALMER QUART, 33, 283
  3. 2000, 28, 617
  4. 1995, 55, 151
  5. 1990, RESULTS OF THE CONNECTICUT LONGITUDINAL STUDY JAMA, 264, 998
  6. 2004, 43, 271

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Metadata

Authors
Blau, V., Reithler, J., van Atteveldt, N., Seitz, J., Gerretsen, P., Goebel, R., & Blomert, L.
Affiliations
Maastricht University (NL)
Venue
Brain
Published
2010-01-07
Volume
133
Issue
3
Pages
868-879
ISSN
  • 0006-8950 (ISSN-L)
  • 1460-2156
OpenAlex
W2136056602
Cited by
301
References
56
Citations by year
2026: 9 · 2025: 11 · 2024: 13 · 2023: 25 · 2022: 16 · 2021: 19 · 2020: 7 · 2019: 20 · 2018: 26 · 2017: 18 · 2016: 24 · 2015: 21 · 2014: 23 · 2013: 20 · 2012: 23
FWCI
40.89
Type
journal article
Language
en
Open access
Locations
  • Brain (publishedVersion)
  • PubMed (publishedVersion)
  • Research Publications (Maastricht University) (submittedVersion, other-oa)
  • VU Research Portal (submittedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
Funders
European Commission
Topics
  • Social Sciences › Psychology › Developmental and Educational Psychology › Reading and Literacy Development
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Multisensory perception and integration
Keywords
developmental dyslexia, reading acquisition, planum temporale, superior temporal sulcus, fusiform gyrus, audiovisual integration, reading failure, children, neural specialization
MeSH terms
Acoustic Stimulation, Brain, Brain Mapping, Child, Dyslexia, Female, Humans, Magnetic Resonance Imaging, Male, Neural Pathways, Neuropsychological Tests, Phonetics, Photic Stimulation, Reading, Speech Perception, Visual Perception

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