ArticleNeuroImage. Clinical2018
No evidence for systematic white matter correlates of dyslexia and dyscalculia.
Article in NeuroImage. Clinical, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed, 33 citations in OpenAlex.
- Development of the arcuate fasciculus is linked to learning gains in reading.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Charting the knowledge landscape of mathematics learning disabilities: an analysis of intellectual structure and research frontiers.Frontiers in psychology · 2025Review
- No Support for White Matter Alterations in Adults With Dyslexia: A Fixel-Based Diffusion MRI Study.Neurobiology of language (Cambridge, Mass.) · 2025Article
- Investigating Dyslexia through Diffusion Tensor Imaging across Ages: A Systematic Review.Brain sciences · 2024Review
- White matter and literacy: A dynamic system in flux.Developmental cognitive neuroscience · 2024Article
- Is It Just Face Blindness? Exploring Developmental Comorbidity in Individuals with Self-Reported Developmental Prosopagnosia.Brain sciences · 2022Article
- Increased structural covariance in brain regions for number processing and memory in children with developmental dyscalculia.Journal of neuroscience research · 2022Article
- Neurite density and arborization is associated with reading skill and phonological processing in children.NeuroImage · 2021Article
- From Schools to Scans: A Neuroeducational Approach to Comorbid Math and Reading Disabilities.Frontiers in public health · 2020Article
- Neighborhood affluence is not associated with positive and negative valence processing in adults with mood and anxiety disorders: A Bayesian inference approach.NeuroImage. Clinical · 2019Article
- Atypical White Matter Connectivity in Dyslexic Readers of a Fairly Transparent Orthography.Frontiers in psychology · 2018Article
- Validity and Reliability of the Dyslexia Checklist for Chinese Children.Frontiers in psychology · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Learning disabilities such as dyslexia, dyscalculia and their comorbid manifestation are prevalent, affecting as much as 15% of the population. Structural neuroimaging studies have indicated that these disorders can be related to differences in white matter integrity, although findings remain disparate. In this study, we used a unique design composed of individuals with dyslexia, dyscalculia, both disorders and controls, to systematically explore differences in fractional anisotropy across groups using diffusion tensor imaging. Specifically, we focused on the corona radiata and the arcuate fasciculus, two tracts associated with reading and mathematics in a number of previous studies. Using Bayesian hypothesis testing, we show that the present data favor the null model of no differences between groups for these particular tracts-a finding that seems to go against the current view but might be representative of the disparities within this field of research. Together, these findings suggest that structural differences associated with dyslexia and dyscalculia might not be as reliable as previously thought, with potential ramifications in terms of remediation.
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Registered trials
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.