同步和异步功能大脑网络的对比拓
bioRxiv : the preprint server for biology
|August 30, 2024
概括
本研究介绍了使用最佳因果 (oCSE) 的异步功能网络 (aFN),与同步功能网络 (sFN) 相比,揭示了不同的网络属性. 这两种网络类型都为大脑连接提供了独特的见解,以及年龄如何影响它们.
科学领域:
- 神经科学是一个神经科学.
- 网络科学 网络科学
- 计算生物学 计算生物学
背景情况:
- 来自相关的fMRI数据的同步功能网络 (sFNs) 是网络神经科学中的标准.
- 需要新的方法来探索替代的功能网络拓.
研究的目的:
- 引入和描述使用最佳因果 (oCSE) 的异步功能网络 (aFNs).
- 将aFNs的拓性质与传统的sFNs进行比较.
- 调查年龄对aFN和sFN网络效率和连接概率的影响.
主要方法:
- 从212名参与者的fMRI数据生成aFNs和sFNs (NCANDA研究).
- 应用最佳因果 (oCSE) 来生成aFN.
- 多变量混合效应模型分析年龄网络相互作用.
主要成果:
- 在控制网络密度后,aFN表现出比sFN更高的全球效率和更低的本地效率.
- 在aFNs中输出全球效率的关键节点位于脑干和轨道前皮层.
- 在aFN中传入的全球效率节点与sFN中的默认模式网络 (DMN) 相对应.
- 年龄与aFN中的全局效率和sFN中的局部效率相互作用,影响连接概率.
结论:
- aFN和sFN都捕获有关功能性大脑连接的互补信息.
- aFNs提供了一个关于大脑网络组织的新视角,超出了同步相关性.
- 了解与年龄相关的网络动态需要考虑异步和同步网络属性.
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