自闭症谱系障碍儿童内在网络异常:一个独立的组件分析
Narae Yoon1, Sohui Kim2, Mee Rim Oh3
1Division of Children and Adolescent Psychiatry, Department of Psychiatry, Seoul National University College of Medicine, 101 Daehakno, Jongno-gu, Seoul, Korea.
Brain imaging and behavior
|February 7, 2024
概括
自闭症谱系障碍涉及改变的大脑连接. 这项研究发现自闭症儿童的连接性不足和过度,与临床症状相关,表明神经发育途径各异.
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
- 儿科神经学 儿科神经学
背景情况:
- 自闭症谱系障碍 (ASD) 的特点是不典型的内在大脑网络,但功能连接的发现是不一致的.
- 了解ASD早期发育儿童的大脑网络变化对于有针对性的干预至关重要.
研究的目的:
- 研究低功能自闭症儿童内在和内在脑内网络之间的静止状态功能连接.
- 探索功能连接模式与ASD幼儿临床严重程度之间的关系.
主要方法:
- 利用休息状态功能磁共振成像 (rs-fMRI) 来自43名自闭症儿童和54名典型发育儿童 (年龄为2-12岁) 的数据.
- 应用独立组件分析 (ICA) 来识别六个内在的大脑网络并分析网络内部的功能连接.
- 与自闭症诊断观察计划 (ADOS) 成绩相关的功能连接度量.
主要成果:
- 患有自闭症的儿童在认知控制,默认模式,视觉和体运动网络中表现出缺乏连接性.
- 相反,与对照人群相比,在ASD儿童中观察到皮下,视觉和体运动网络之间的过度连接.
- 在网络上发现了中等效应大小 (科恩d=0.430.77),网络变化与ADOS通信之间存在显著的相关性,并校准了严重性得分 (r=-0.442到-0.435).
结论:
- 在ASD中异常的神经发育呈现出功能性大脑连接的多样化模式,因网络和大脑区域而异.
- 这些发现凸显了自闭症谱系障碍中大脑变化的复杂性和区域特异性.
- 功能连接度指标显示,作为生物标志物具有前途,与ASD幼儿的临床表现相关.
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