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Diffusion Tensor Imaging And Tractography In Autistic, Dysphasic, And Healthy Control Children

BACKGROUND: Diffusion tensor imaging (DTI) is a powerful tool for investigating brain anatomical connectivity. The aim of our study was to compare brain connectivity among children with autism spectrum disorders (ASD), developmental dysphasia (DD), and healthy controls (HC) in the following tracts:...

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Autores principales: Hrdlicka, Michal, Sanda, Jan, Urbanek, Tomas, Kudr, Martin, Dudova, Iva, Kickova, Stepanka, Pospisilova, Lenka, Mohaplova, Marketa, Maulisova, Alice, Krsek, Pavel, Kyncl, Martin, Blatny, Marek, Komarek, Vladimir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6781738/
https://www.ncbi.nlm.nih.gov/pubmed/31632032
http://dx.doi.org/10.2147/NDT.S219545
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author Hrdlicka, Michal
Sanda, Jan
Urbanek, Tomas
Kudr, Martin
Dudova, Iva
Kickova, Stepanka
Pospisilova, Lenka
Mohaplova, Marketa
Maulisova, Alice
Krsek, Pavel
Kyncl, Martin
Blatny, Marek
Komarek, Vladimir
author_facet Hrdlicka, Michal
Sanda, Jan
Urbanek, Tomas
Kudr, Martin
Dudova, Iva
Kickova, Stepanka
Pospisilova, Lenka
Mohaplova, Marketa
Maulisova, Alice
Krsek, Pavel
Kyncl, Martin
Blatny, Marek
Komarek, Vladimir
author_sort Hrdlicka, Michal
collection PubMed
description BACKGROUND: Diffusion tensor imaging (DTI) is a powerful tool for investigating brain anatomical connectivity. The aim of our study was to compare brain connectivity among children with autism spectrum disorders (ASD), developmental dysphasia (DD), and healthy controls (HC) in the following tracts: the arcuate fasciculus (AF), inferior frontal occipital fasciculus (IFOF), inferior longitudinal fasciculus (ILF), and uncinate fasciculus (UF). METHODS: Our sample consisted of 113 children with a mean age 8.7±2.2 years (77 boys, 36 girls), divided into three subgroups: ASD (n=39), DD (n=36), and HC (n=38). The International Classification of Diseases, 10th ed. was used to make clinical diagnoses. DTI images were collected using a 1.5 T Phillips Achieva MR imaging system. RESULTS: Detailed analyses of fractional anisotropy (FA) revealed significant differences among the ASD, DD, and HC groups in the left AF (p=0.014) and right AF (p=0.001), the left IFOF (p<0.001) and right IFOF (p<0.001), the left ILF (p<0.001) and right ILF (p<0.001), but not in the UF. Post-hoc analyses revealed three patterns of FA differences among the groups: (1) in the right AF, right IFOF, and right ILF, FA was significantly lower in the ASD group compared to the DD and HC groups; however, there was no difference in FA between DD and HC; (2) in the left AF and left IFOF, FA was significantly lower in the ASD than in the HC group, but there were no differences between DD vs HC nor DD vs ASD; and (3) in the left ILF, no difference in FA was seen between ASD and DD, but FA in both was significantly lower than in the HC. CONCLUSION: Microstructural white matter properties differed between ASD vs DD and HC subjects. The tract where FA impairment in ASD and DD subjects was the most similar was the left ILF.
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spelling pubmed-67817382019-10-18 Diffusion Tensor Imaging And Tractography In Autistic, Dysphasic, And Healthy Control Children Hrdlicka, Michal Sanda, Jan Urbanek, Tomas Kudr, Martin Dudova, Iva Kickova, Stepanka Pospisilova, Lenka Mohaplova, Marketa Maulisova, Alice Krsek, Pavel Kyncl, Martin Blatny, Marek Komarek, Vladimir Neuropsychiatr Dis Treat Original Research BACKGROUND: Diffusion tensor imaging (DTI) is a powerful tool for investigating brain anatomical connectivity. The aim of our study was to compare brain connectivity among children with autism spectrum disorders (ASD), developmental dysphasia (DD), and healthy controls (HC) in the following tracts: the arcuate fasciculus (AF), inferior frontal occipital fasciculus (IFOF), inferior longitudinal fasciculus (ILF), and uncinate fasciculus (UF). METHODS: Our sample consisted of 113 children with a mean age 8.7±2.2 years (77 boys, 36 girls), divided into three subgroups: ASD (n=39), DD (n=36), and HC (n=38). The International Classification of Diseases, 10th ed. was used to make clinical diagnoses. DTI images were collected using a 1.5 T Phillips Achieva MR imaging system. RESULTS: Detailed analyses of fractional anisotropy (FA) revealed significant differences among the ASD, DD, and HC groups in the left AF (p=0.014) and right AF (p=0.001), the left IFOF (p<0.001) and right IFOF (p<0.001), the left ILF (p<0.001) and right ILF (p<0.001), but not in the UF. Post-hoc analyses revealed three patterns of FA differences among the groups: (1) in the right AF, right IFOF, and right ILF, FA was significantly lower in the ASD group compared to the DD and HC groups; however, there was no difference in FA between DD and HC; (2) in the left AF and left IFOF, FA was significantly lower in the ASD than in the HC group, but there were no differences between DD vs HC nor DD vs ASD; and (3) in the left ILF, no difference in FA was seen between ASD and DD, but FA in both was significantly lower than in the HC. CONCLUSION: Microstructural white matter properties differed between ASD vs DD and HC subjects. The tract where FA impairment in ASD and DD subjects was the most similar was the left ILF. Dove 2019-10-03 /pmc/articles/PMC6781738/ /pubmed/31632032 http://dx.doi.org/10.2147/NDT.S219545 Text en © 2019 Hrdlicka et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Hrdlicka, Michal
Sanda, Jan
Urbanek, Tomas
Kudr, Martin
Dudova, Iva
Kickova, Stepanka
Pospisilova, Lenka
Mohaplova, Marketa
Maulisova, Alice
Krsek, Pavel
Kyncl, Martin
Blatny, Marek
Komarek, Vladimir
Diffusion Tensor Imaging And Tractography In Autistic, Dysphasic, And Healthy Control Children
title Diffusion Tensor Imaging And Tractography In Autistic, Dysphasic, And Healthy Control Children
title_full Diffusion Tensor Imaging And Tractography In Autistic, Dysphasic, And Healthy Control Children
title_fullStr Diffusion Tensor Imaging And Tractography In Autistic, Dysphasic, And Healthy Control Children
title_full_unstemmed Diffusion Tensor Imaging And Tractography In Autistic, Dysphasic, And Healthy Control Children
title_short Diffusion Tensor Imaging And Tractography In Autistic, Dysphasic, And Healthy Control Children
title_sort diffusion tensor imaging and tractography in autistic, dysphasic, and healthy control children
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6781738/
https://www.ncbi.nlm.nih.gov/pubmed/31632032
http://dx.doi.org/10.2147/NDT.S219545
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