通过测量皮质厚度,表面积,皮质/亚皮质体积和结构共变度,研究自闭症,ADHD和典型发育的异质性
Younes Sadat-Nejad1,2, Marlee M Vandewouw1,2, R Cardy1
1Autism Research Centre, Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada.
Frontiers in child and adolescent psychiatry
|January 22, 2025
概括
新的研究揭示了自闭症和多动症儿童的大脑结构模式,这些模式与当前的诊断不一致. 这些集群与适应性功能,智商和多动症症状的差异有关,提供了超越行为评估的新见解.
科学领域:
- 神经科学是一个神经科学.
- 发展心理学 发展心理学
- 计算生物学 计算生物学
背景情况:
- 注意缺陷/多动症障碍 (ADHD) 和自闭症是通过行为诊断的神经发育状况,缺乏明显的生物标志物.
- 当前的诊断方法可能无法准确预测长期结果或治疗反应.
- 数据驱动的方法可以识别生物模式,以完善对这些条件的理解.
研究的目的:
- 基于共享的生物模式,发现自闭症和ADHD个体的数据驱动分组.
- 调查这些生物定义的集群是否与临床诊断一致或反映了功能差异.
主要方法:
- 利用了565名参与者 (自闭症,ADHD,神经类型) 的结构神经成像数据 (皮层/亚皮层体积,表面积,皮层厚度).
- 采用图形神经网络方法来分析单参与者的结构共变性.
- 综合多个大脑结构措施来识别不同的集群.
主要成果:
- 在参与者群体中确定了两个重要的集群.
- 这些集群显示了适应性功能,注意力不集中,多动,智商,年龄和性别的显著差异.
- 确定的群体与现有的自闭症或多动症多动症诊断标签不符.
结论:
- 基于大脑结构的集群提供了比自闭症和ADHD的传统诊断类别更细致的观点.
- 这些发现表明,大脑结构与适应性功能,智商和ADHD症状学的变化更密切相关.
- 这种方法可能会导致更个性化的干预措施和对神经发育条件的支持.
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