同激活模式分析揭示了自闭症谱系障碍中改变的全脑功能暂时动态
Lei Li1, Qingyu Zheng2, Yang Xue3
1The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, People's Republic of China.
European child & adolescent psychiatry
|May 30, 2024
概括
患有自闭症谱系障碍 (ASD) 的人表现出改变了整个大脑动态,在某些大脑状态中花费更多时间,在其他状态中花费更少时间. 大脑网络中的这些动态功能异常对于理解ASD至关重要.
科学领域:
- 神经科学是一个神经科学.
- 脑部成像 脑部成像
- 自闭症谱系障碍研究研究
背景情况:
- 以前的研究将自闭症谱系障碍 (ASD) 与特定的大脑网络功能障碍和反复活动状态联系起来.
- 然而,在ASD中,每一瞬间全脑动态的异常仍然不清楚.
研究的目的:
- 通过无种子同活化模式 (CAP) 分析,研究ASD患者在休息期间全脑活动中的动态异常.
- 识别短暂的大脑活动配置及其与ASD特征的关联.
主要方法:
- 利用了一个大型的多站点静止状态fMRI数据集 (354个ASD,446个健康对照).
- 在健康的对照中,使用的时间K-意味着集群,以确定四个不同的CAP.
- 在ASD评估的CAP和一个单独的健康对照组基于与参考CAP的空间相似性.
主要成果:
- 患有自闭症的个体表现出对特定CAP的时间参与改变,特别是涉及腹部注意力网络,执行控制和背部注意力网络的CAP.
- 支持矢量机器分析在基于异常CAP动态的ASD分类方面取得了74.87%的准确性.
- 整个大脑的动态被用来预测ASD症状严重程度.
结论:
- 研究结果显示,从暂时活动的角度来看,ASD的全脑动态功能异常.
- 默认模式网络 (DMN) 在ASD异常动态功能活动中起着重要作用.
- 时间动态分析技术为ASD中时间变化的神经过程提供了新的见解.
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