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No evidence for systematic white matter correlates of dyslexia and dyscalculia

Authors :
David Moreau
Nicole S. McKay
Karen E. Waldie
Anna J. Wilson
Kasey Nihill
Source :
NeuroImage: Clinical, Vol 18, Iss, Pp 356-366 (2018), NeuroImage : Clinical
Publication Year :
2018
Publisher :
Elsevier BV, 2018.

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.<br />Highlights • Previous literature indicates important discrepancies in structural differences associated with dyslexia and dyscalculia • We explore the relationship between these disorders and fractional anisotropy, a measure of white matter integrity • We show support for the null model in the corona radiata and the arcuate fasciculus • This suggests that structural differences associated with these disorders are not as reliable as previously thought

Details

ISSN :
22131582
Volume :
18
Database :
OpenAIRE
Journal :
NeuroImage: Clinical
Accession number :
edsair.doi.dedup.....13ecefb9e621173c8e432802a824b474
Full Text :
https://doi.org/10.1016/j.nicl.2018.02.004