在自闭症谱系障碍中改变了网络内部和网络间的连接
Rui Zhou1,2, Chenhao Sun3, Mingxiang Sun4
1School of Zhang Jian, Nantong University, Nantong, China.
Aging
|June 11, 2024
概括
自闭症谱系障碍 (ASD) 显示了大脑网络连接的改变. 这项研究揭示了连接性下降和增加的特定模式,有助于将ASD与健康对照区分开来,准确度为71.74%.
科学领域:
- 神经科学是一个神经科学.
- 发育神经科学的发展神经科学.
- 计算神经科学是一种神经科学.
背景情况:
- 自闭症谱系障碍 (ASD) 是一种神经发育状况,其特点是社会互动障碍.
- 之前的休息状态功能磁共振成像 (rs-fMRI) 在ASD的研究显示了关于大脑连接模式的混合结果.
- 在ASD中,网络内部和网络间连接的特定模式仍未得到充分探索.
研究的目的:
- 研究ASD个体内和内在网络之间的脑网络连接的特定模式.
- 确定潜在的神经成像生物标志物,以区分ASD与健康对照 (HC).
主要方法:
- 利用了来自ABIDE数据集的45名自闭症患者和47名高血压患者的高质量的rs-fMRI数据子集.
- 分析了预处理的rs-fMRI信号,分为90个感兴趣的区域,重点关注八个内在连接网络.
- 进行了网络内部和网络之间的连接分析,并使用了支持矢量机器 (SVM) 来进行分类.
主要成果:
- 在默认模式和背部注意网络中,ASD表现出网络内部连接性下降.
- 观察到边缘和皮质下网络之间的连接性增加,而默认模式和边缘网络之间的连接性减少.
- 使用改变的连接模式进行多变量模式分析,在10%的稀疏度下,在将ASD与HC分类时,获得了71.74%的准确性,70.21%的特异性和75.56%的灵敏性.
结论:
- 自闭症与大脑功能网络的特征性重组有关.
- 这些发现为潜在的ASD功能连接组功能障碍提供了新的见解.
- 变化的网络内部和网络间连接模式可能成为ASD的潜在生物标志物.
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