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The effect of gender on the neuroanatomy of children with autism spectrum disorders: a support vector machine case-control study / A. RETICO in Molecular Autism, 7 (2016)
[article]
Titre : The effect of gender on the neuroanatomy of children with autism spectrum disorders: a support vector machine case-control study Type de document : Texte imprimé et/ou numérique Auteurs : A. RETICO, Auteur ; A. GIULIANO, Auteur ; Raffaella TANCREDI, Auteur ; A. COSENZA, Auteur ; Fabio APICELLA, Auteur ; A. NARZISI, Auteur ; L. BIAGI, Auteur ; M. TOSETTI, Auteur ; F. MURATORI, Auteur ; Sara CALDERONI, Auteur Article en page(s) : 5p. Langues : Anglais (eng) Mots-clés : Area Under Curve Autism Spectrum Disorder/pathology Cerebrospinal Fluid Child Child, Preschool Female Gray Matter/pathology Humans Infant Intelligence Magnetic Resonance Imaging Male Neuroimaging Organ Size Phenotype Research Design Severity of Illness Index Sex Characteristics Support Vector Machine White Matter/pathology Autism spectrum disorders Gender differences Structural MRI Young children Index. décimale : PER Périodiques Résumé : BACKGROUND: Genetic, hormonal, and environmental factors contribute since infancy to sexual dimorphism in regional brain structures of subjects with typical development. However, the neuroanatomical differences between male and female children with autism spectrum disorders (ASD) are an intriguing and still poorly investigated issue. This study aims to evaluate whether the brain of young children with ASD exhibits sex-related structural differences and if a correlation exists between clinical ASD features and neuroanatomical underpinnings. METHODS: A total of 152 structural MRI scans were analysed. Specifically, 76 young children with ASD (38 males and 38 females; 2-7 years of age; mean = 53 months, standard deviation = 17 months) were evaluated employing a support vector machine (SVM)-based analysis of the grey matter (GM). Group comparisons consisted of 76 age-, gender- and non-verbal-intelligence quotient-matched children with typical development or idiopathic developmental delay without autism. RESULTS: For both genders combined, SVM showed a significantly increased GM volume in young children with ASD with respect to control subjects, predominantly in the bilateral superior frontal gyrus (Brodmann area -BA- 10), bilateral precuneus (BA 31), bilateral superior temporal gyrus (BA 20/22), whereas less GM in patients with ASD was found in right inferior temporal gyrus (BA 37). For the within gender comparisons (i.e., females with ASD vs. controls and males with ASD vs. controls), two overlapping regions in bilateral precuneus (BA 31) and left superior frontal gyrus (BA 9/10) were detected. Sex-by-group analyses revealed in males with ASD compared to matched controls two male-specific regions of increased GM volume (left middle occipital gyrus-BA 19-and right superior temporal gyrus-BA 22). Comparisons in females with and without ASD demonstrated increased GM volumes predominantly in the bilateral frontal regions. Additional regions of significantly increased GM volume in the right anterior cingulate cortex (BA 32) and right cerebellum were typical only of females with ASD. CONCLUSIONS: Despite the specific behavioural correlates of sex-dimorphism in ASD, brain morphology as yet remains unclear and requires future dedicated investigations. This study provides evidence of structural brain gender differences in young children with ASD that possibly contribute to the different phenotypic disease manifestations in males and females. En ligne : http://dx.doi.org/10.1186/s13229-015-0067-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=329
in Molecular Autism > 7 (2016) . - 5p.[article] The effect of gender on the neuroanatomy of children with autism spectrum disorders: a support vector machine case-control study [Texte imprimé et/ou numérique] / A. RETICO, Auteur ; A. GIULIANO, Auteur ; Raffaella TANCREDI, Auteur ; A. COSENZA, Auteur ; Fabio APICELLA, Auteur ; A. NARZISI, Auteur ; L. BIAGI, Auteur ; M. TOSETTI, Auteur ; F. MURATORI, Auteur ; Sara CALDERONI, Auteur . - 5p.
Langues : Anglais (eng)
in Molecular Autism > 7 (2016) . - 5p.
Mots-clés : Area Under Curve Autism Spectrum Disorder/pathology Cerebrospinal Fluid Child Child, Preschool Female Gray Matter/pathology Humans Infant Intelligence Magnetic Resonance Imaging Male Neuroimaging Organ Size Phenotype Research Design Severity of Illness Index Sex Characteristics Support Vector Machine White Matter/pathology Autism spectrum disorders Gender differences Structural MRI Young children Index. décimale : PER Périodiques Résumé : BACKGROUND: Genetic, hormonal, and environmental factors contribute since infancy to sexual dimorphism in regional brain structures of subjects with typical development. However, the neuroanatomical differences between male and female children with autism spectrum disorders (ASD) are an intriguing and still poorly investigated issue. This study aims to evaluate whether the brain of young children with ASD exhibits sex-related structural differences and if a correlation exists between clinical ASD features and neuroanatomical underpinnings. METHODS: A total of 152 structural MRI scans were analysed. Specifically, 76 young children with ASD (38 males and 38 females; 2-7 years of age; mean = 53 months, standard deviation = 17 months) were evaluated employing a support vector machine (SVM)-based analysis of the grey matter (GM). Group comparisons consisted of 76 age-, gender- and non-verbal-intelligence quotient-matched children with typical development or idiopathic developmental delay without autism. RESULTS: For both genders combined, SVM showed a significantly increased GM volume in young children with ASD with respect to control subjects, predominantly in the bilateral superior frontal gyrus (Brodmann area -BA- 10), bilateral precuneus (BA 31), bilateral superior temporal gyrus (BA 20/22), whereas less GM in patients with ASD was found in right inferior temporal gyrus (BA 37). For the within gender comparisons (i.e., females with ASD vs. controls and males with ASD vs. controls), two overlapping regions in bilateral precuneus (BA 31) and left superior frontal gyrus (BA 9/10) were detected. Sex-by-group analyses revealed in males with ASD compared to matched controls two male-specific regions of increased GM volume (left middle occipital gyrus-BA 19-and right superior temporal gyrus-BA 22). Comparisons in females with and without ASD demonstrated increased GM volumes predominantly in the bilateral frontal regions. Additional regions of significantly increased GM volume in the right anterior cingulate cortex (BA 32) and right cerebellum were typical only of females with ASD. CONCLUSIONS: Despite the specific behavioural correlates of sex-dimorphism in ASD, brain morphology as yet remains unclear and requires future dedicated investigations. This study provides evidence of structural brain gender differences in young children with ASD that possibly contribute to the different phenotypic disease manifestations in males and females. En ligne : http://dx.doi.org/10.1186/s13229-015-0067-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=329 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