后置默认模式网络与患有自闭症谱系障碍的男性儿童的社会表现有关:基于三重网络模型的动态因果建模分析
Lei Wang1,2, Yue Qin1,2, Shuhan Yang3
1Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Human brain mapping
|June 10, 2024
概括
自闭症谱系障碍 (ASD) 涉及改变的大脑网络通信. 这项研究发现,在ASD儿童的三重网络中,有效连接的特定不平衡与核心症状有关.
科学领域:
- 神经科学是一个神经科学.
- 精神病学是一个精神病学.
- 脑部成像 脑部成像
背景情况:
- 三重网络模型与神经精神疾病如自闭症谱系障碍 (ASD) 有关.
- 在ASD的三重网络中,确切的因果机制和症状关系仍然不太清楚.
研究的目的:
- 调查与典型发展对照 (TDC) 相比,ASD男性儿童在三重网络中的有效连接 (EC).
- 探索三重网络中的EC与自闭症诊断观察计划 (ADOS) 在ASD中的得分之间的关系.
主要方法:
- 分析了81名男性ASD和80名TDC参与者的休息状态功能磁共振成像 (fMRI) 数据.
- 基于空间参考的独立组件分析确定了前/后默认模式网络 (aDMN/pDMN),突出网络 (SN) 和执行控制网络 (ECN).
- 频谱动态因果建模和贝叶斯方法评估了三重网络中的EC及其与ADOS分数的相关性.
主要成果:
- 在三重网络中,ASD和TDC组表现出明显的抑制模式.
- 与TDC相比,ASD个体在aDMN/pDMN中表现出较弱的自我抑制,改变了pDMN→aDMN抑制,并减少了涉及ECN和SN的连接中的抑制.
- 在ASD组中,ADOS分数和pDMN自我抑制,以及pDMN→aDMN有效连接之间发现了负相关性.
结论:
- 三重网络中的不平衡的有效连接是儿童自闭症的特征.
- 后部默认模式网络 (pDMN) 在调节核心ASD症状方面发挥着至关重要的作用.
- pDMN可能是ASD诊断和治疗干预目标的关键区域.
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