The dynamics of resting fluctuations in the brain: metastability and its dynamical cortical core
The dynamics of resting fluctuations in the brain: metastability and its dynamical cortical core
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DOI：
10.1038/s41598-017-03073-5
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发表时间：
2017-06-08
影响因子：
4.6
通讯作者：
Ritter, Petra
中科院分区：
文献类型：
--
作者：
Deco, Gustavo;Kringelbach, Morten L.;Ritter, Petra
在人脑中，静息状态下的自发活动包括功能网络状态之间随时间的快速转换，但其潜在机制尚不清楚。我们使用基于连接体的计算脑网络建模来揭示人类大脑如何产生可通过非侵入性神经成像观察到的大规模活动的基本原理。我们使用结构和功能的神经影像数据来构建全脑模型。通过这种新的方法，我们揭示了人类大脑在静息状态下以最大亚稳态运行，即处于最大网络切换状态。此外，我们调查皮质异质性跨区域。对每个局部大脑区域的光谱特性进行优化，揭示了人脑的动态皮质核心，它驱动着整个大脑其余部分的活动。脑网络建模超越了相关神经成像分析，并揭示了非侵入性观察的非平凡网络机制。我们的新发现与计算连接组学在理解大脑功能原理中的重要作用密切相关。
In the human brain, spontaneous activity during resting state consists of rapid transitions between functional network states over time but the underlying mechanisms are not understood. We use connectome based computational brain network modeling to reveal fundamental principles of how the human brain generates large-scale activity observable by noninvasive neuroimaging. We used structural and functional neuroimaging data to construct whole-brain models. With this novel approach, we reveal that the human brain during resting state operates at maximum metastability, i.e. in a state of maximum network switching. In addition, we investigate cortical heterogeneity across areas. Optimization of the spectral characteristics of each local brain region revealed the dynamical cortical core of the human brain, which is driving the activity of the rest of the whole brain. Brain network modelling goes beyond correlational neuroimaging analysis and reveals non-trivial network mechanisms underlying non-invasive observations. Our novel findings significantly pertain to the important role of computational connectomics in understanding principles of brain function.