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Altered electroencephalographic networks in developmental dyslexia after remedial training: a prospective case-control study
Electroencephalographic studies using graph theoretic analysis have found aberrations in functional connectivity in children with developmental dyslexia. However, how the training with visual tasks can change the functional connectivity of the semantic network in developmental dyslexia is still uncl...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8067933/ https://www.ncbi.nlm.nih.gov/pubmed/33063736 http://dx.doi.org/10.4103/1673-5374.295334 |
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author | Dushanova, Juliana A. Tsokov, Stefan A. |
author_facet | Dushanova, Juliana A. Tsokov, Stefan A. |
author_sort | Dushanova, Juliana A. |
collection | PubMed |
description | Electroencephalographic studies using graph theoretic analysis have found aberrations in functional connectivity in children with developmental dyslexia. However, how the training with visual tasks can change the functional connectivity of the semantic network in developmental dyslexia is still unclear. We looked for differences in local and global topological properties of functional networks between 21 healthy controls and 22 dyslexic children (8–9 years old) before and after training with visual tasks in this prospective case-control study. The minimum spanning tree method was used to construct the subjects’ brain networks in multiple electroencephalographic frequency ranges during a visual word/pseudoword discrimination task. We found group differences in the theta, alpha, beta and gamma bands for four graph measures suggesting a more integrated network topology in dyslexics before the training compared to controls. After training, the network topology of dyslexic children had become more segregated and similar to that of the controls. In the θ, α and β1-frequency bands, compared to the controls, the pre-training dyslexics exhibited a reduced degree and betweenness centrality of the left anterior temporal and parietal regions. The simultaneous appearance in the left hemisphere of hubs in temporal and parietal (α, β1), temporal and superior frontal cortex (θ, α), parietal and occipitotemporal cortices (β1), identified in the networks of normally developing children was not present in the brain networks of dyslexics. After training, the hub distribution for dyslexics in the theta and beta1 bands had become similar to that of the controls. In summary, our findings point to a less efficient network configuration in dyslexics compared to a more optimal global organization in the controls. This is the first study to investigate the topological organization of functional brain networks of Bulgarian dyslexic children. Approval for the study was obtained from the Ethics Committee of the Institute of Neurobiology and the Institute for Population and Human Studies, Bulgarian Academy of Sciences (approval No. 02-41/12.07.2019) on March 28, 2017, and the State Logopedic Center and the Ministry of Education and Science (approval No. 09-69/14.03.2017) on July 12, 2019. |
format | Online Article Text |
id | pubmed-8067933 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-80679332021-04-27 Altered electroencephalographic networks in developmental dyslexia after remedial training: a prospective case-control study Dushanova, Juliana A. Tsokov, Stefan A. Neural Regen Res Research Article Electroencephalographic studies using graph theoretic analysis have found aberrations in functional connectivity in children with developmental dyslexia. However, how the training with visual tasks can change the functional connectivity of the semantic network in developmental dyslexia is still unclear. We looked for differences in local and global topological properties of functional networks between 21 healthy controls and 22 dyslexic children (8–9 years old) before and after training with visual tasks in this prospective case-control study. The minimum spanning tree method was used to construct the subjects’ brain networks in multiple electroencephalographic frequency ranges during a visual word/pseudoword discrimination task. We found group differences in the theta, alpha, beta and gamma bands for four graph measures suggesting a more integrated network topology in dyslexics before the training compared to controls. After training, the network topology of dyslexic children had become more segregated and similar to that of the controls. In the θ, α and β1-frequency bands, compared to the controls, the pre-training dyslexics exhibited a reduced degree and betweenness centrality of the left anterior temporal and parietal regions. The simultaneous appearance in the left hemisphere of hubs in temporal and parietal (α, β1), temporal and superior frontal cortex (θ, α), parietal and occipitotemporal cortices (β1), identified in the networks of normally developing children was not present in the brain networks of dyslexics. After training, the hub distribution for dyslexics in the theta and beta1 bands had become similar to that of the controls. In summary, our findings point to a less efficient network configuration in dyslexics compared to a more optimal global organization in the controls. This is the first study to investigate the topological organization of functional brain networks of Bulgarian dyslexic children. Approval for the study was obtained from the Ethics Committee of the Institute of Neurobiology and the Institute for Population and Human Studies, Bulgarian Academy of Sciences (approval No. 02-41/12.07.2019) on March 28, 2017, and the State Logopedic Center and the Ministry of Education and Science (approval No. 09-69/14.03.2017) on July 12, 2019. Wolters Kluwer - Medknow 2020-10-09 /pmc/articles/PMC8067933/ /pubmed/33063736 http://dx.doi.org/10.4103/1673-5374.295334 Text en Copyright: © 2021 Neural Regeneration Research https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Research Article Dushanova, Juliana A. Tsokov, Stefan A. Altered electroencephalographic networks in developmental dyslexia after remedial training: a prospective case-control study |
title | Altered electroencephalographic networks in developmental dyslexia after remedial training: a prospective case-control study |
title_full | Altered electroencephalographic networks in developmental dyslexia after remedial training: a prospective case-control study |
title_fullStr | Altered electroencephalographic networks in developmental dyslexia after remedial training: a prospective case-control study |
title_full_unstemmed | Altered electroencephalographic networks in developmental dyslexia after remedial training: a prospective case-control study |
title_short | Altered electroencephalographic networks in developmental dyslexia after remedial training: a prospective case-control study |
title_sort | altered electroencephalographic networks in developmental dyslexia after remedial training: a prospective case-control study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8067933/ https://www.ncbi.nlm.nih.gov/pubmed/33063736 http://dx.doi.org/10.4103/1673-5374.295334 |
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