自闭症和ADHD的重叠和差异:在发育过程中对运动和沟通的数字表型化
Aimar Silvan1, Adriana Di Martino2, Michael P Milham2
1Department of Biomedical Engineering, City College of New York, New York, NY, 10031, USA.
bioRxiv : the preprint server for biology
|November 24, 2025
概括
注意缺陷/多动症 (ADHD) 和自闭症谱系障碍 (ASD) 经常同时发生. 自动视频分析揭示了ADHD和ASD的独特行为标记,有助于它们的客观区分.
科学领域:
- 神经发育障碍 神经发育障碍
- 行为科学 行为科学
- 计算精神病学是一种计算精神病学.
背景情况:
- 注意缺陷/多动障碍 (ADHD) 和自闭症谱系障碍 (ASD) 经常同时发生,使差异诊断复杂化.
- 现有的诊断方法依赖于主观评估,这在区分跨发育阶段的重叠症状方面带来了挑战.
研究的目的:
- 调查自然视频数据的自动化分析是否可以区分ADHD和ASD独特的行为特征.
- 确定客观的,可扩展的标记,以解开这些神经发育障碍在青年.
主要方法:
- 对2,341名年轻人 (5-22岁) 描述一部情感短片的自然主义视频的分析.
- 应用多变量统计模型来识别不同的行为模式.
- 语言,运动活动和声乐特征的客观测量.
主要成果:
- 以前与ADHD相关的语言缺陷主要是与年龄相关的,而不是特定于疾病的.
- 难以理解和回忆社会叙事的困难与ASD有独特的关联.
- 增加的运动活动特别标志着ADHD的过度活跃-冲动方面.
- 患有自闭症的人表现出完整的结构性语言,但受损的叙事技巧,视角,和独特的声谱 (更高的音调,强度,质量变化).
结论:
- 尽管有显著的并发症,但ADHD和ASD具有可分离的行为特征.
- 自动视频分析提供了一个客观和可扩展的方法来区分ADHD和ASD.
- 这些客观措施可以帮助改进诊断和了解ADHD和ASD独特的神经发育轨迹.
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