自闭症谱系障碍患者动态大脑网络的异常灵活性
Hui Zhang1, Dehong Peng2, Shixiong Tang2
1The Department of Clinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha 410011, China.
Bioengineering (Basel, Switzerland)
|September 27, 2024
概括
自闭症谱系障碍 (ASD) 与大脑网络稳定性的改变有关. 这项研究发现,ASD患者的脑网络灵活性增加,这表明功能性脑网络的时间稳定性下降.
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) 是一种复杂的神经发育状况,病理生物学不明.
- 研究神经机制对于理解ASD至关重要.
- 动态大脑网络模型提供了一种有前途的方法来研究ASD中的大脑功能.
研究的目的:
- 通过使用动态大脑网络模型来研究ASD背后的神经机制.
- 为了比较ASD和典型发育 (TD) 控制对象之间的大脑网络灵活性.
- 探索大脑网络变化与ASD症状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 (fMRI) 数据来自一个大型的多站点数据集 (自闭症脑成像数据交换 - ABIDE).
- 包括208名自闭症患者和227名TD对照.
- 估计和比较全球和本地大脑网络的灵活性,调整年龄,性别,头部运动和部位效应等共变量.
主要成果:
- 与TD对照组相比,ASD患者的全球大脑网络灵活性 (稳定性下降) 显著增加.
- 在ASD的默认模式和传感器运动区域中发现了本地网络的灵活性增加.
- 尾部区域的灵活性下降,这些变化与自闭症诊断观察表 (ADOS) 得分相关.
结论:
- 自闭症的特点是功能性大脑网络的时间稳定性发生显著变化.
- 这些发现提高了对ASD病理生物学的理解.
- 动态大脑网络的改变可能成为ASD的潜在生物标志物.
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