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

M. Hrdlicka, J. Sanda, T. Urbanek, M. Kudr, I. Dudova, S. Kickova, L. Pospisilova, M. Mohaplova, A. Maulisova, P. Krsek, M. Kyncl, M. Blatny, V. Komarek,

. 2019 ; 15 (-) : 2843-2852. [pub] 20191003

Language English Country New Zealand

Document type Journal Article

Persistent link   https://www.medvik.cz/link/bmc19044182

Grant support
NV16-31754A MZ0 CEP Register

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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$a Background: Diffusion tensor imaging (DTI) is a powerful tool for investigating brain anatomical connectivity. The aim of our study was to compare brain connectivity among children with autism spectrum disorders (ASD), developmental dysphasia (DD), and healthy controls (HC) in the following tracts: the arcuate fasciculus (AF), inferior frontal occipital fasciculus (IFOF), inferior longitudinal fasciculus (ILF), and uncinate fasciculus (UF). Methods: Our sample consisted of 113 children with a mean age 8.7±2.2 years (77 boys, 36 girls), divided into three subgroups: ASD (n=39), DD (n=36), and HC (n=38). The International Classification of Diseases, 10th ed. was used to make clinical diagnoses. DTI images were collected using a 1.5 T Phillips Achieva MR imaging system. Results: Detailed analyses of fractional anisotropy (FA) revealed significant differences among the ASD, DD, and HC groups in the left AF (p=0.014) and right AF (p=0.001), the left IFOF (p<0.001) and right IFOF (p<0.001), the left ILF (p<0.001) and right ILF (p<0.001), but not in the UF. Post-hoc analyses revealed three patterns of FA differences among the groups: (1) in the right AF, right IFOF, and right ILF, FA was significantly lower in the ASD group compared to the DD and HC groups; however, there was no difference in FA between DD and HC; (2) in the left AF and left IFOF, FA was significantly lower in the ASD than in the HC group, but there were no differences between DD vs HC nor DD vs ASD; and (3) in the left ILF, no difference in FA was seen between ASD and DD, but FA in both was significantly lower than in the HC. Conclusion: Microstructural white matter properties differed between ASD vs DD and HC subjects. The tract where FA impairment in ASD and DD subjects was the most similar was the left ILF.
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$a Sanda, Jan $u Department of Radiology, Charles University Second Faculty of Medicine and University Hospital Motol, Prague, Czech Republic.
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$a Kudr, Martin $u Department of Pediatric Neurology, Charles University Second Faculty of Medicine and University Hospital Motol, Prague, Czech Republic.
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$a Dudova, Iva $u Department of Child Psychiatry, Charles University Second Faculty of Medicine and University Hospital Motol, Prague, Czech Republic.
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$a Kickova, Stepanka $u Department of Child Psychiatry, Charles University Second Faculty of Medicine and University Hospital Motol, Prague, Czech Republic.
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$a Pospisilova, Lenka $u Department of Child Psychiatry, Charles University Second Faculty of Medicine and University Hospital Motol, Prague, Czech Republic. Charles University First Faculty of Medicine, Prague, Czech Republic.
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$a Maulisova, Alice $u Department of Pediatric Neurology, Charles University Second Faculty of Medicine and University Hospital Motol, Prague, Czech Republic.
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$a Kyncl, Martin $u Department of Radiology, Charles University Second Faculty of Medicine and University Hospital Motol, Prague, Czech Republic.
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$a Blatny, Marek $u Department of Child Psychiatry, Charles University Second Faculty of Medicine and University Hospital Motol, Prague, Czech Republic. Department of Psychology, Faculty of Arts, Masaryk University, Brno, Czech Republic.
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$a Komarek, Vladimir $u Department of Pediatric Neurology, Charles University Second Faculty of Medicine and University Hospital Motol, Prague, Czech Republic.
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