1 recherche sur le mot-clé 'Biological markers'

An Abnormal Cerebellar Network in Children with Autistic Spectrum Disorder: A Morphometric Study / Alessandro GRECUCCI in Autism - Open Access, 6-3 ([01/05/2016])  

Public ISBD [article]  inAutism - Open Access > 6-3 [01/05/2016] . - 6 p. Titre : An Abnormal Cerebellar Network in Children with Autistic Spectrum Disorder: A Morphometric Study Type de document : texte imprimé Auteurs : Alessandro GRECUCCI, Auteur ; Edoardo PAPPAIANNI, Auteur ; Roma SIUGZDAITE, Auteur Article en page(s) : 6 p. Langues : Anglais (eng) Mots-clés : Autism  Structural differences  Source based morphometry  Biological markers Index. décimale : PER Périodiques Résumé : Autism is a neurodevelopmental disorder characterized by poor social abilities, communication deficiency and restricted behavioural patterns. Recently, scholars started to consider the possibility of detecting biological markers for better and faster diagnosing autism. This problem has been approached from different perspectives considering biochemical, neurophysiological, and neuroanatomical markers. Following this perspective, our intent was to investigate whether a structural brain signature of autism can be detected in children by using a whole brain morphological analysis. To this aim, we selected 43 male children with autistic spectrum disorder and 46 male controls, matched for age. Structural brain images (T1 image), intelligence scores (Full IQ, Verbal IQ, Performance IQ), and Autism Diagnostic Observation Schedule (ADOS) scores were considered for analyses. Source-Based Morphometry, a multivariate method based on Independent Component Analysis to detect maximally independent cortical networks of gray matter differences was applied to autistic and control brains. Results showed a statistically different network between ASD children and controls, including several cerebellar regions (Inferior Semi-lunarlobule, Tuble, Uvula, Pyramis, Declive, Cerebellar Tonsil) and the Fusiform Gyrus, confirming, but, also expanding previous results. In addition, separate temporal, frontal, and parietal networks were found to be significantly correlated with the Stereotyped Behaviour ADOS scores. These morphologic differences may be particularly useful in paving the way for future objective methods to diagnose autism. En ligne : https://dx.doi.org/10.4172/2165-7890.1000178 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=410 [article] An Abnormal Cerebellar Network in Children with Autistic Spectrum Disorder: A Morphometric Study [texte imprimé] / Alessandro GRECUCCI, Auteur ; Edoardo PAPPAIANNI, Auteur ; Roma SIUGZDAITE, Auteur . - 6 p. Langues : Anglais (eng) in Autism - Open Access > 6-3 [01/05/2016] . - 6 p. Mots-clés : Autism  Structural differences  Source based morphometry  Biological markers Index. décimale : PER Périodiques Résumé : Autism is a neurodevelopmental disorder characterized by poor social abilities, communication deficiency and restricted behavioural patterns. Recently, scholars started to consider the possibility of detecting biological markers for better and faster diagnosing autism. This problem has been approached from different perspectives considering biochemical, neurophysiological, and neuroanatomical markers. Following this perspective, our intent was to investigate whether a structural brain signature of autism can be detected in children by using a whole brain morphological analysis. To this aim, we selected 43 male children with autistic spectrum disorder and 46 male controls, matched for age. Structural brain images (T1 image), intelligence scores (Full IQ, Verbal IQ, Performance IQ), and Autism Diagnostic Observation Schedule (ADOS) scores were considered for analyses. Source-Based Morphometry, a multivariate method based on Independent Component Analysis to detect maximally independent cortical networks of gray matter differences was applied to autistic and control brains. Results showed a statistically different network between ASD children and controls, including several cerebellar regions (Inferior Semi-lunarlobule, Tuble, Uvula, Pyramis, Declive, Cerebellar Tonsil) and the Fusiform Gyrus, confirming, but, also expanding previous results. In addition, separate temporal, frontal, and parietal networks were found to be significantly correlated with the Stereotyped Behaviour ADOS scores. These morphologic differences may be particularly useful in paving the way for future objective methods to diagnose autism. En ligne : https://dx.doi.org/10.4172/2165-7890.1000178 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=410