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Inhibition and updating, but not switching, predict developmental dyslexia and individual variation in reading ability

Doyle, Caoilainn ORCID: 0000-0002-9755-5023, Smeaton, Alan F. ORCID: 0000-0003-1028-8389, Roche, Richard ORCID: 0000-0001-6606-4187 and Boran, Lorraine (2018) Inhibition and updating, but not switching, predict developmental dyslexia and individual variation in reading ability. Frontiers in Psychology, 9 . ISSN 1664-1078

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Abstract

To elucidate the core executive function profile (strengths and weaknesses in inhibition, updating, and switching) associated with dyslexia, this study explored executive function in 27 children with dyslexia and 29 age matched controls using sensitive z-mean measures of each ability and controlled for individual differences in processing speed. This study found that developmental dyslexia is associated with inhibition and updating, but not switching impairments, at the error z-mean composite level, whilst controlling for processing speed. Inhibition and updating (but not switching) error composites predicted both dyslexia likelihood and reading ability across the full range of variation from typical to atypical. The predictive relationships were such that those with poorer performance on inhibition and updating measures were significantly more likely to have a diagnosis of developmental dyslexia and also demonstrate poorer reading ability. These findings suggest that inhibition and updating abilities are associated with developmental dyslexia and predict reading ability. Future studies should explore executive function training as an intervention for children with dyslexia as core executive functions appear to be modifiable with training and may transfer to improved reading ability.

Item Type:Article (Published)
Refereed:Yes
Additional Information:Article number: 795
Uncontrolled Keywords:dyslexia; executive function; inhibition; updating; processing speed; reading
Subjects:UNSPECIFIED
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
DCU Faculties and Schools > Faculty of Science and Health > School of Nursing and Human Sciences
Research Initiatives and Centres > INSIGHT Centre for Data Analytics
Publisher:Frontiers Media
Official URL:https://dx.doi.org/10.3389/fpsyg.2018.00795
Copyright Information:© 2018 The Authors. Open access (CC-BY 4.0)
Funders:School of Nursing and Human Sciences, Dublin City University Postdoctoral Research grant (P30424)
ID Code:27744
Deposited On:14 Sep 2022 10:31 by Thomas Murtagh . Last Modified 24 Feb 2023 10:39

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