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Diffusion Tensor Imaging And Tractography In Autistic, Dysphasic, And Healthy Control Children
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SYSNO ASEP 0509362 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Diffusion Tensor Imaging And Tractography In Autistic, Dysphasic, And Healthy Control Children Author(s) Hrdlička, M. (CZ)
Šanda, J. (CZ)
Urbánek, Tomáš (PSU-E) RID, ORCID, SAI
Kudr, M. (CZ)
Dudová, I. (CZ)
Kickova, Š. (CZ)
Pospíšilová, L. (CZ)
Mohaplova, M. (CZ)
Maulisová, A. (CZ)
Kršek, P. (CZ)
Kyncl, M. (CZ)
Blatný, Marek (PSU-E) RID, SAI, ORCID
Komárek, V. (CZ)Source Title Neuropsychiatric Disease and Treatment . - : Dove Medical Press - ISSN 1178-2021
Roč. 15, říjen (2019), s. 2843-2852Number of pages 10 s. Publication form Print - P Language eng - English Country NZ - New Zealand Keywords autism ; developmental dysphasia ; magnetic resonance imaging ; diffusion tensor imaging ; tractography Subject RIV AN - Psychology OECD category Psychology (including human - machine relations) Method of publishing Open access Institutional support PSU-E - RVO:68081740 UT WOS 000489159600002 EID SCOPUS 85073530327 DOI https://doi.org/10.2147/NDT.S219545 Annotation 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. Workplace Institute of Psychology Contact Štěpánka Halamová, Halamova@praha.psu.cas.cz, Tel.: 222 222 096 Year of Publishing 2020 Electronic address https://www.dovepress.com/diffusion-tensor-imaging-and-tractography-in-autistic-dysphasic-and-he-peer-reviewed-fulltext-article-NDT
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