Dept. of Neuroscience, Pomona College, Claremont, CA, USA.
Dept. of Psychology, University of Miami, Coral Gables, FL, USA.
Sci Rep. 2017 Jul 26;7(1):6537. doi: 10.1038/s41598-017-06866-w.
Investigations of the human brain's connectomic architecture have produced two alternative models: one describes the brain's spatial structure in terms of static localized networks, and the other describes the brain's temporal structure in terms of dynamic whole-brain states. Here, we used tools from connectivity dynamics to develop a synthesis that bridges these models. Using resting fMRI data, we investigated the assumptions undergirding current models of the human connectome. Consistent with state-based models, our results suggest that static localized networks are superordinate approximations of underlying dynamic states. Furthermore, each of these localized, dynamic connectivity states is associated with global changes in the whole-brain functional connectome. By nesting localized dynamic connectivity states within their whole-brain contexts, we demonstrate the relative temporal independence of brain networks. Our assay for functional autonomy of coordinated neural systems is broadly applicable, and our findings provide evidence of structure in temporal state dynamics that complements the well-described static spatial organization of the brain.
一种是根据静态局部网络来描述大脑的空间结构，另一种是根据动态全脑状态来描述大脑的时间结构。在这里，我们使用连接动力学的工具来建立一个综合模型，连接这两种模型。我们使用静息 fMRI 数据，研究了当前人类连接组模型的基本假设。与基于状态的模型一致，我们的结果表明，静态局部网络是潜在动态状态的主要近似。此外，这些局部的、动态的连接状态中的每一个都与整个大脑功能连接组的全局变化相关。通过将局部动态连接状态嵌套在其全脑环境中，我们证明了大脑网络的相对时间独立性。我们对协调神经系统功能自主性的检测具有广泛的适用性，我们的发现提供了证据表明，时间状态动态中的结构补充了大脑中描述良好的静态空间组织。
