Facial Structure Analysis Separates Autism Spectrum Disorders into Meaningful Clinical Subgroups / Tayo OBAFEMI-AJAYI in Journal of Autism and Developmental Disorders, 45-5 (May 2015)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 45-5 (May 2015) . - p.1302-1317 Titre : Facial Structure Analysis Separates Autism Spectrum Disorders into Meaningful Clinical Subgroups Type de document : Texte imprimé et/ou numérique Auteurs : Tayo OBAFEMI-AJAYI, Auteur ; Judith H. MILES, Auteur ; T. Nicole TAKAHASHI, Auteur ; Wenchuan QI, Auteur ; Kristina ALDRIDGE, Auteur ; Minqi ZHANG, Auteur ; Shi-Qing XIN, Auteur ; Ying HE, Auteur ; Ye DUAN, Auteur Article en page(s) : p.1302-1317 Langues : Anglais (eng) Mots-clés : Autism  Cluster analysis  Language regression  Facial phenotype  Biomarker  Outcome indicators Index. décimale : PER Périodiques Résumé : Varied cluster analysis were applied to facial surface measurements from 62 prepubertal boys with essential autism to determine whether facial morphology constitutes viable biomarker for delineation of discrete Autism Spectrum Disorders (ASD) subgroups. Earlier study indicated utility of facial morphology for autism subgrouping (Aldridge et al. in Mol Autism 2(1):15, 2011). Geodesic distances between standardized facial landmarks were measured from three-dimensional stereo-photogrammetric images. Subjects were evaluated for autism-related symptoms, neurologic, cognitive, familial, and phenotypic variants. The most compact cluster is clinically characterized by severe ASD, significant cognitive impairment and language regression. This verifies utility of facially-based ASD subtypes and validates Aldridge et al.’s severe ASD subgroup, notwithstanding different techniques. It suggests that language regression may define a unique ASD subgroup with potential etiologic differences. En ligne : http://dx.doi.org/10.1007/s10803-014-2290-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=259 [article] Facial Structure Analysis Separates Autism Spectrum Disorders into Meaningful Clinical Subgroups [Texte imprimé et/ou numérique] / Tayo OBAFEMI-AJAYI, Auteur ; Judith H. MILES, Auteur ; T. Nicole TAKAHASHI, Auteur ; Wenchuan QI, Auteur ; Kristina ALDRIDGE, Auteur ; Minqi ZHANG, Auteur ; Shi-Qing XIN, Auteur ; Ying HE, Auteur ; Ye DUAN, Auteur . - p.1302-1317. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 45-5 (May 2015) . - p.1302-1317 Mots-clés : Autism  Cluster analysis  Language regression  Facial phenotype  Biomarker  Outcome indicators Index. décimale : PER Périodiques Résumé : Varied cluster analysis were applied to facial surface measurements from 62 prepubertal boys with essential autism to determine whether facial morphology constitutes viable biomarker for delineation of discrete Autism Spectrum Disorders (ASD) subgroups. Earlier study indicated utility of facial morphology for autism subgrouping (Aldridge et al. in Mol Autism 2(1):15, 2011). Geodesic distances between standardized facial landmarks were measured from three-dimensional stereo-photogrammetric images. Subjects were evaluated for autism-related symptoms, neurologic, cognitive, familial, and phenotypic variants. The most compact cluster is clinically characterized by severe ASD, significant cognitive impairment and language regression. This verifies utility of facially-based ASD subtypes and validates Aldridge et al.’s severe ASD subgroup, notwithstanding different techniques. It suggests that language regression may define a unique ASD subgroup with potential etiologic differences. En ligne : http://dx.doi.org/10.1007/s10803-014-2290-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=259

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