Aberrations in functional connectivity in children with developmental dyslexia have been found in electroencephalographic studies using graph analysis. How training with visual tasks can modify the functional semantic network in developmental dyslexia remains unclear. We investigate local and global topological properties of functional networks in multiple EEG frequency ranges based on a small-world propensity method in controls, pre- and post-training dyslexic children during visual word/pseudoword processing. Results indicated that the EEG network topology in dyslexics before the training was more integrated than controls, and after training - more segregated and similar to that of the controls in the theta (
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Small-world EEG network analysis of functional connectivity in developmental dyslexia after visual training intervention
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Institute of Neurobiology, Bulgarian Academy of Sciences, 23 Acad. G. Bonchev St., 1113, Sofia, Bulgaria
*Correspondence:
juliana@bio.bas.bg
(Juliana A. Dushanova)
J. Integr. Neurosci. 2020, 19(4), 601–618;
https://doi.org/10.31083/j.jin.2020.04.193
Submitted: 16 June 2020 | Revised: 7 November 2020 | Accepted: 12 November 2020 | Published: 30 December 2020
(This article belongs to the Special Issue The sensory-cognitive interplay: insights into the neural mechanisms and circuits)
Copyright: © 2020 Dushanova and Tsokov Published by IMR Press.
This is an open access article under the CC BY 4.0 license (
https://creativecommons.org/licenses/by/4.0/).
Abstract
Keywords
EEG
functional connectivity
developmental dyslexia
frequency oscillations
connectome
graph theory
neural computation
Figures
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