论文标题
无意识重新配置模块化大脑网络动态
Unconsciousness reconfigures modular brain network dynamics
论文作者
论文摘要
动态核心假设表明，意识与瞬时同步大脑区域的同时集成和分化的组件相关。我们使用动态大脑网络表示时间依赖性功能相互作用，并通过这些网络的灵活性和最大的多层模块来评估动态核心的完整性。作为第一步，我们使用新开发的基准测试来限制了参数选择，以在异质时间网络中进行模块检测。接下来，我们将多层模块化最大化算法应用于从功能性磁共振成像（fMRI）中计算出的动态大脑网络，并在深度睡眠和丙泊性麻醉下获取。我们发现，无意识重新配置网络灵活性，并降低了最大时空模块的大小，我们用动态核心识别出该模块。我们的结果介绍了通过fMRI测量的无意识状态中模块化大脑网络动态的首次表征，从而为人类意识的动态核心假设增加了支持。
The dynamic core hypothesis posits that consciousness is correlated with simultaneously integrated and differentiated assemblies of transiently synchronized brain regions. We represented time-dependent functional interactions using dynamic brain networks, and assessed the integrityof the dynamic core by means of the flexibility and largest multilayer module of these networks. As a first step, we constrained parameter selection using a newly developed benchmark for module detection in heterogeneous temporal networks. Next, we applied a multilayer modularity maximization algorithm to dynamic brain networks computed from functional magnetic resonance imaging (fMRI) data acquired during deep sleep and under propofol anesthesia. We found that unconsciousness reconfigured network flexibility and reduced the size of the largest spatiotemporal module, which we identified with the dynamic core. Our results present a first characterization of modular brain network dynamics during states of unconsciousness measured with fMRI, adding support to the dynamic core hypothesis of human consciousness.
