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首页> 外文期刊>Journal of Autism and Developmental Disorders >Facial Structure Analysis Separates Autism Spectrum Disorders into Meaningful Clinical Subgroups
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Facial Structure Analysis Separates Autism Spectrum Disorders into Meaningful Clinical Subgroups

机译：面部结构分析可将自闭症谱系障碍分为有意义的临床亚组

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摘要

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.
机译：应用变异聚类分析对来自62名患有自闭症的青春期前男孩进行面部表面测量，以确定面部形态是否构成了用于描述离散自闭症谱系障碍（ASD）亚组的可行生物标志物。较早的研究表明面部形态学可用于自闭症亚组（Aldridge等人，Mol Autism 2（1）：15，2011）。从三维立体摄影测量图像测量标准化面部地标之间的测地距离。对受试者进行自闭症相关症状，神经系统，认知，家族和表型变异的评估。临床上最紧凑的类群以严重的ASD，严重的认知障碍和语言消退为特征。这项技术可验证基于面部的ASD亚型的实用性，并验证Aldridge等人的严重ASD亚组，尽管技术有所不同。这表明语言回归可能会定义具有潜在病因差异的独特ASD亚组。

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  • 来源
    《Journal of Autism and Developmental Disorders》 |2015年第5期|1302-1317|共16页
  • 作者

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

  • 作者单位

    Applied Computational Intelligence Lab Department of Electrical and Computer Engineering Missouri University of Science and Technology">(1);

    Department of Computer Science University of Missouri">(2);

    Thompson Center for Autism and Neurodevelopmental Disorders University of Missouri">(3);

    Department of Child Health University of Missouri School of Medicine">(4);

    Thompson Center for Autism and Neurodevelopmental Disorders University of Missouri">(3);

    Department of Computer Science University of Missouri">(2);

    Department of Pathology and Anatomical Sciences University of Missouri School of Medicine">(5);

    School of Computer Engineering Nanyang Technological University">(6);

    School of Computer Engineering Nanyang Technological University">(6);

    College of Information Science and Engineering Ningbo University">(7);

    School of Computer Engineering Nanyang Technological University">(6);

    Department of Computer Science University of Missouri">(2);

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  • 正文语种 eng
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  • 关键词

    Autism; Cluster analysis; Language regression; Facial phenotype; Biomarker; Outcome indicators;

    机译：自闭症聚类分析;语言回归;面部表型生物标志物成果指标;

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