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01-05-2015 | Original Paper | Uitgave 5/2015

Facial Structure Analysis Separates Autism Spectrum Disorders into Meaningful Clinical Subgroups

Tijdschrift:: Journal of Autism and Developmental Disorders > Uitgave 5/2015

Auteurs:: Tayo Obafemi-Ajayi, Judith H. Miles, T. Nicole Takahashi, Wenchuan Qi, Kristina Aldridge, Minqi Zhang, Shi-Qing Xin, Ying He, Ye Duan

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Some preliminary result from this work is being presented as a poster presentation at the 2014 International Meeting for Autism Research (IMFAR) in Atlanta, Georgia, USA on May 14, 2014.

Abstract

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.

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Titel: Facial Structure Analysis Separates Autism Spectrum Disorders into Meaningful Clinical Subgroups
Auteurs:: Tayo Obafemi-Ajayi
Judith H. Miles
T. Nicole Takahashi
Wenchuan Qi
Kristina Aldridge
Minqi Zhang
Shi-Qing Xin
Ying He
Ye Duan
Publicatiedatum: 01-05-2015
DOI: https://doi.org/10.1007/s10803-014-2290-8
Uitgeverij: Springer US
Tijdschrift: Journal of Autism and Developmental Disorders
Uitgave 5/2015
Print ISSN: 0162-3257
Elektronisch ISSN: 1573-3432

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Facial Structure Analysis Separates Autism Spectrum Disorders into Meaningful Clinical Subgroups

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