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自闭症谱系障碍中的面部形态特征:从法典歧视性分析的初步发现

Fethiye Kılıçaslan¹, Serdar Babacan², Bahaddin Çolak¹

¹Department of Child and Adolescent Psychiatry, Harran University, Faculty of Medicine, Sanliurfa, Türkiye.

Developmental neurobiology

|October 28, 2025

概括

面部形态测量,特别是眼睛和嘴唇的特征,可能有助于区分患有自闭症谱系障碍 (ASD) 的儿童与通常发育的同龄人. 在这项初步研究中,整体面部和特定器官测量的结合显示出了有希望的结果.

科学领域:

神经发育障碍神经发育障碍
生物识别分析生物识别分析
医疗成像医学成像

背景情况:

自闭症谱系障碍 (ASD) 是一种影响社会沟通和行为的神经发育状况.
早期诊断ASD对于干预至关重要,但往往会延迟,限制获得支持的机会.
当前的诊断方法可能耗时;需要新的方法.

研究的目的:

研究面部形态测量分析的潜力,使用正规差异分析 (CDA) 来区分患有自闭症儿童与典型发育 (TD) 儿童.
确定特定的面部区域,这些区域对群体差异化做出了最重要的贡献.

主要方法:

一项概念验证研究涉及40名患有自闭症儿童和40名年龄/性别匹配的TD对照.
使用ImageJ软件分析了标准化的面部照片,以测量人类地标和地标间的距离.
使用正规差异分析 (CDA) 来构建统计分类模型.

主要成果:

仅仅是整体面部形态并没有显著区分ASD和TD组.
特定的面部区域,特别是眼睛和嘴唇,表现出显著的歧视力.
结合整体面部和特定器官的测量结果产生了最强的分离 (正规相关性=0.74).

结论:

特定的面部形态特征,特别是眼睛和嘴唇周围的特征,可以作为区分ASD的潜在指标.
面部形态测量显示出作为ASD研究的补充性,非侵入性研究工具的希望.
对于潜在的临床或查应用,使用更大,多样化的样本进行进一步验证是必不可少的.

关键词:

自闭症谱系障碍自闭症谱系障碍生物标志物生物标志物准则差别分析法典差别分析法典头骨面部的特征头骨面部的特征摄影计量 (摄影计量) 是一种摄影计量技术.

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