TY - JOUR
T1 - No evidence for systematic white matter correlates of dyslexia and dyscalculia
AU - Moreau, David
AU - Wilson, Anna J.
AU - McKay, Nicole S.
AU - Nihill, Kasey
AU - Waldie, Karen E.
N1 - Publisher Copyright:
© 2018 The Authors
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
KW - Axonal white matter
KW - Diffusion tensor imaging
KW - Dyscalculia
KW - Dyslexia
KW - Fractional anisotropy
KW - Neurodevelopmental disorders
KW - Probabilistic tractography
KW - Tract-based spatial statistics
UR - https://www.scopus.com/pages/publications/85041728340
U2 - 10.1016/j.nicl.2018.02.004
DO - 10.1016/j.nicl.2018.02.004
M3 - Article
C2 - 29487792
AN - SCOPUS:85041728340
SN - 2213-1582
VL - 18
SP - 356
EP - 366
JO - NeuroImage: Clinical
JF - NeuroImage: Clinical
ER -