dc.contributor.author |
Moreau, David |
en |
dc.contributor.author |
Wilson, Anna J |
en |
dc.contributor.author |
Mckay, Nicole |
en |
dc.contributor.author |
Nihill, Kasey |
en |
dc.contributor.author |
Waldie, Karen |
en |
dc.date.accessioned |
2018-10-24T22:17:00Z |
en |
dc.date.issued |
2018-01 |
en |
dc.identifier.citation |
NeuroImage. Clinical 18:356-366 Jan 2018 |
en |
dc.identifier.issn |
2213-1582 |
en |
dc.identifier.uri |
http://hdl.handle.net/2292/43414 |
en |
dc.description.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. |
en |
dc.format.medium |
Electronic-eCollection |
en |
dc.language |
eng |
en |
dc.relation.ispartofseries |
NeuroImage. Clinical |
en |
dc.rights |
Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. |
en |
dc.rights.uri |
https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm |
en |
dc.rights.uri |
https://creativecommons.org/licenses/by-nc-nd/4.0/ |
en |
dc.subject |
Nerve Net |
en |
dc.subject |
Neural Pathways |
en |
dc.subject |
Humans |
en |
dc.subject |
Dyslexia |
en |
dc.subject |
Bayes Theorem |
en |
dc.subject |
Anisotropy |
en |
dc.subject |
Mathematics |
en |
dc.subject |
Image Processing, Computer-Assisted |
en |
dc.subject |
Adult |
en |
dc.subject |
Female |
en |
dc.subject |
Male |
en |
dc.subject |
Young Adult |
en |
dc.subject |
Diffusion Tensor Imaging |
en |
dc.subject |
Self Report |
en |
dc.subject |
Dyscalculia |
en |
dc.subject |
White Matter |
en |
dc.title |
No evidence for systematic white matter correlates of dyslexia and dyscalculia. |
en |
dc.type |
Journal Article |
en |
dc.identifier.doi |
10.1016/j.nicl.2018.02.004 |
en |
pubs.begin-page |
356 |
en |
pubs.volume |
18 |
en |
dc.rights.holder |
Copyright: Elsevier |
en |
dc.identifier.pmid |
29487792 |
en |
pubs.end-page |
366 |
en |
pubs.publication-status |
Published |
en |
dc.rights.accessrights |
http://purl.org/eprint/accessRights/OpenAccess |
en |
pubs.subtype |
Research Support, Non-U.S. Gov't |
en |
pubs.subtype |
research-article |
en |
pubs.subtype |
Journal Article |
en |
pubs.elements-id |
725309 |
en |
pubs.org-id |
Science |
en |
pubs.org-id |
Psychology |
en |
dc.identifier.eissn |
2213-1582 |
en |
pubs.record-created-at-source-date |
2018-03-01 |
en |
pubs.dimensions-id |
29487792 |
en |