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Cortical morphological markers in children with autism: a structural magnetic resonance imaging study of thickness, area, volume, and gyrification / D. Y. YANG in Molecular Autism, 7 (2016)
[article]
Titre : Cortical morphological markers in children with autism: a structural magnetic resonance imaging study of thickness, area, volume, and gyrification Type de document : Texte imprimé et/ou numérique Auteurs : D. Y. YANG, Auteur ; D. BEAM, Auteur ; Kevin A. PELPHREY, Auteur ; Sebiha M. ABDULLAHI, Auteur ; R. J. JOU, Auteur Article en page(s) : 11p. Langues : Anglais (eng) Mots-clés : Age Factors Cerebral Cortex/pathology Child Child Development Disorders, Pervasive/pathology Child, Preschool Gray Matter/pathology Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging Male Neuroimaging Organ Size White Matter/pathology Autism spectrum disorder Brain development Brain structure Neuroanatomy Surface-based morphometry Index. décimale : PER Périodiques Résumé : BACKGROUND: Individuals with autism spectrum disorder (ASD) have been characterized by altered cerebral cortical structures; however, the field has yet to identify consistent markers and prior studies have included mostly adolescents and adults. While there are multiple cortical morphological measures, including cortical thickness, surface area, cortical volume, and cortical gyrification, few single studies have examined all these measures. The current study analyzed all of the four measures and focused on pre-adolescent children with ASD. METHODS: We employed the FreeSurfer pipeline to examine surface-based morphometry in 60 high-functioning boys with ASD (mean age = 8.35 years, range = 4-12 years) and 41 gender-, age-, and IQ-matched typically developing (TD) peers (mean age = 8.83 years), while testing for age-by-diagnosis interaction and between-group differences. RESULTS: During childhood and in specific regions, ASD participants exhibited a lack of normative age-related cortical thinning and volumetric reduction and an abnormal age-related increase in gyrification. Regarding surface area, ASD and TD exhibited statistically comparable age-related development during childhood. Across childhood, ASD relative to TD participants tended to have higher mean levels of gyrification in specific regions. Within ASD, those with higher Social Responsiveness Scale total raw scores tended to have greater age-related increase in gyrification in specific regions during childhood. CONCLUSIONS: ASD is characterized by cortical neuroanatomical abnormalities that are age-, measure-, statistical model-, and region-dependent. The current study is the first to examine the development of all four cortical measures in one of the largest pre-adolescent samples. Strikingly, Neurosynth-based quantitative reverse inference of the surviving clusters suggests that many of the regions identified above are related to social perception, language, self-referential, and action observation networks-those frequently found to be functionally altered in individuals with ASD. The comprehensive, multilevel analyses across a wide range of cortical measures help fill a knowledge gap and present a complex but rich picture of neuroanatomical developmental differences in children with ASD. En ligne : http://dx.doi.org/10.1186/s13229-016-0076-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=329
in Molecular Autism > 7 (2016) . - 11p.[article] Cortical morphological markers in children with autism: a structural magnetic resonance imaging study of thickness, area, volume, and gyrification [Texte imprimé et/ou numérique] / D. Y. YANG, Auteur ; D. BEAM, Auteur ; Kevin A. PELPHREY, Auteur ; Sebiha M. ABDULLAHI, Auteur ; R. J. JOU, Auteur . - 11p.
Langues : Anglais (eng)
in Molecular Autism > 7 (2016) . - 11p.
Mots-clés : Age Factors Cerebral Cortex/pathology Child Child Development Disorders, Pervasive/pathology Child, Preschool Gray Matter/pathology Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging Male Neuroimaging Organ Size White Matter/pathology Autism spectrum disorder Brain development Brain structure Neuroanatomy Surface-based morphometry Index. décimale : PER Périodiques Résumé : BACKGROUND: Individuals with autism spectrum disorder (ASD) have been characterized by altered cerebral cortical structures; however, the field has yet to identify consistent markers and prior studies have included mostly adolescents and adults. While there are multiple cortical morphological measures, including cortical thickness, surface area, cortical volume, and cortical gyrification, few single studies have examined all these measures. The current study analyzed all of the four measures and focused on pre-adolescent children with ASD. METHODS: We employed the FreeSurfer pipeline to examine surface-based morphometry in 60 high-functioning boys with ASD (mean age = 8.35 years, range = 4-12 years) and 41 gender-, age-, and IQ-matched typically developing (TD) peers (mean age = 8.83 years), while testing for age-by-diagnosis interaction and between-group differences. RESULTS: During childhood and in specific regions, ASD participants exhibited a lack of normative age-related cortical thinning and volumetric reduction and an abnormal age-related increase in gyrification. Regarding surface area, ASD and TD exhibited statistically comparable age-related development during childhood. Across childhood, ASD relative to TD participants tended to have higher mean levels of gyrification in specific regions. Within ASD, those with higher Social Responsiveness Scale total raw scores tended to have greater age-related increase in gyrification in specific regions during childhood. CONCLUSIONS: ASD is characterized by cortical neuroanatomical abnormalities that are age-, measure-, statistical model-, and region-dependent. The current study is the first to examine the development of all four cortical measures in one of the largest pre-adolescent samples. Strikingly, Neurosynth-based quantitative reverse inference of the surviving clusters suggests that many of the regions identified above are related to social perception, language, self-referential, and action observation networks-those frequently found to be functionally altered in individuals with ASD. The comprehensive, multilevel analyses across a wide range of cortical measures help fill a knowledge gap and present a complex but rich picture of neuroanatomical developmental differences in children with ASD. En ligne : http://dx.doi.org/10.1186/s13229-016-0076-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=329 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