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Auteur Yuxiang Wang |
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Abnormal gray matter volume and functional connectivity patterns in social cognition-related brain regions of young children with autism spectrum disorder / Chen BAI in Autism Research, 16-6 (June 2023)
[article]
Titre : Abnormal gray matter volume and functional connectivity patterns in social cognition-related brain regions of young children with autism spectrum disorder Type de document : Texte imprimé et/ou numérique Auteurs : Chen BAI, Auteur ; Yunlei Wang, Auteur ; Yan ZHANG, Auteur ; Xianna Wang, Auteur ; Zhenbo Chen, Auteur ; Weiyong Yu, Auteur ; Haojie Zhang, Auteur ; Xingzhu Li, Auteur ; Kaixuan Zhu, Auteur ; Yuxiang Wang, Auteur ; Tong Zhang, Auteur Article en page(s) : p.1124-1137 Langues : Anglais (eng) Mots-clés : autism spectrum disorder functional connectivity gray matter volume support vector machine Index. décimale : PER Périodiques Résumé : Abstract Autism spectrum disorder (ASD) is associated with abnormal brain imaging findings, but descriptions thereof are inconsistent. The aim of the present study was to investigate brain abnormalities in young children with ASD using a combination of structural and functional brain magnetic resonance imaging (MRI). Structural and resting-state functional MRI was performed in 67 children with ASD (aged 2?7?years) and 39 age-matched typically developing (TD) controls. Voxel-based morphometry was used to evaluate differences in brain structure between groups. Topologic parameters of the functional brain network were compared by graph theoretic analysis and network connectomes were compared with network-based statistics. A support vector machine (SVM) was used to discriminate between ASD and TD groups. Results demonstrated young children with ASD had increased gray matter volumes (GMVs) in the right medial superior frontal gyrus and left fusiform gyrus compared with the TD group. The ASD group had altered subnetwork connectivity in frontal and temporal lobes and other social cognition-related brain regions. Functional connectivity in the left superior temporal gyrus and left temporal pole of the middle temporal gyrus was positively correlated with adaptability and language developmental quotient (DQ) in children with ASD. The combination of the brain structural and functional features had 86.2% accuracy in discriminating between ASD and TD. The present study shows that young children with ASD have altered GMVs and functional networks in social cognition-related brain regions, which are potential neuroimaging biomarkers for ASD. En ligne : https://doi.org/10.1002/aur.2936 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=507
in Autism Research > 16-6 (June 2023) . - p.1124-1137[article] Abnormal gray matter volume and functional connectivity patterns in social cognition-related brain regions of young children with autism spectrum disorder [Texte imprimé et/ou numérique] / Chen BAI, Auteur ; Yunlei Wang, Auteur ; Yan ZHANG, Auteur ; Xianna Wang, Auteur ; Zhenbo Chen, Auteur ; Weiyong Yu, Auteur ; Haojie Zhang, Auteur ; Xingzhu Li, Auteur ; Kaixuan Zhu, Auteur ; Yuxiang Wang, Auteur ; Tong Zhang, Auteur . - p.1124-1137.
Langues : Anglais (eng)
in Autism Research > 16-6 (June 2023) . - p.1124-1137
Mots-clés : autism spectrum disorder functional connectivity gray matter volume support vector machine Index. décimale : PER Périodiques Résumé : Abstract Autism spectrum disorder (ASD) is associated with abnormal brain imaging findings, but descriptions thereof are inconsistent. The aim of the present study was to investigate brain abnormalities in young children with ASD using a combination of structural and functional brain magnetic resonance imaging (MRI). Structural and resting-state functional MRI was performed in 67 children with ASD (aged 2?7?years) and 39 age-matched typically developing (TD) controls. Voxel-based morphometry was used to evaluate differences in brain structure between groups. Topologic parameters of the functional brain network were compared by graph theoretic analysis and network connectomes were compared with network-based statistics. A support vector machine (SVM) was used to discriminate between ASD and TD groups. Results demonstrated young children with ASD had increased gray matter volumes (GMVs) in the right medial superior frontal gyrus and left fusiform gyrus compared with the TD group. The ASD group had altered subnetwork connectivity in frontal and temporal lobes and other social cognition-related brain regions. Functional connectivity in the left superior temporal gyrus and left temporal pole of the middle temporal gyrus was positively correlated with adaptability and language developmental quotient (DQ) in children with ASD. The combination of the brain structural and functional features had 86.2% accuracy in discriminating between ASD and TD. The present study shows that young children with ASD have altered GMVs and functional networks in social cognition-related brain regions, which are potential neuroimaging biomarkers for ASD. En ligne : https://doi.org/10.1002/aur.2936 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=507