Evidence map›Paper›PMID 40800339›Full record

ArticleImaging neuroscience (Cambridge, Mass.)2024

Atypical hemispheric re-organization of the reading network in high-functioning adults with dyslexia: Evidence from representational similarity analysis.

Eddy Cavalli, Valérie Chanoine, Yufei Tan, Jean-Luc Anton, Bruno L Giordano, Felipe Pegado, Johannes C Ziegler

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Article in Imaging neuroscience (Cambridge, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Eddy CavalliLyon 2 Univ, EMC, Lyon, France.
Valérie ChanoineAix Marseille Univ, CNRS, LPL, Aix-en-Provence, France.
Yufei TanAix Marseille Univ, CNRS, LPC, Marseille, France.
Jean-Luc AntonAix-Marseille Univ, ILCB, Aix-en-Provence, France.
Bruno L GiordanoAix-Marseille Univ, ILCB, Aix-en-Provence, France.
Felipe PegadoAix Marseille Univ, CNRS, LPC, Marseille, France.
Johannes C ZieglerAix-Marseille Univ, ILCB, Aix-en-Provence, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has been argued that university students with dyslexia compensate for their reading deficits by a neural re-organization of the typical reading network, where the lexical representations of words are (re-)structured according to semantic rather than orthographic information. To investigate the re-organization of neural word representations more directly, we used multivariate representational similarity analyses (RSA) to find out which brain regions of the reading network respond to orthographic and semantic similarity between 544 pairs of words and whether there were any differences between typical and dyslexic readers. In accordance with the re-organization hypothesis, we predicted greater similarity (i.e., correlation of neural dissimilarity matrices) in adult dyslexic than in typical readers in regions associated with semantic processing and weaker similarity in regions associated with orthographic processing. Our results did not confirm these predictions. First, we found sensitivity to semantic similarity in all three subparts of the fusiform gyrus (FG1, FG2, and FG3) bilaterally. Adults with dyslexia showed less (rather than more) sensitivity to semantic similarity in the posterior subpart of fusiform gyrus (FG1) in the left hemisphere. Second, in typical readers, sensitivity to orthographic information was not only found in the left fusiform gyrus (FG1, FG2, and FG3) but also in left inferior frontal gyrus (IFG). Adults with dyslexia, in contrast, did not show sensitivity to orthographic information in left IFG. However, they showed increased sensitivity to orthographic information in the right hemisphere FG1. Together, the results show abnormal orthographic processing in left IFG and right FG1 and reduced semantic information in left FG1. While we found evidence for compensatory re-organization in adult dyslexia, the present results do not support the hypothesis according to which adults with dyslexia rely more heavily on semantic information. Instead, they revealed atypical hemispheric organization of the reading network that is not restricted to the typical left language hemisphere.

Indexed as

fMRIhigh-functioning adults with dyslexiaorthographic similarityrepresentational similarity analysis (RSA)semantic similarity

Identifiers

PMID40800339
PMCPMC12224412

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.