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Relationship of Topology Multiscale Phase Synchronization and State Transitions in Human Brain Networks

机译:人脑网络中拓扑多尺度相位同步和状态转换之间的关系

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摘要

How the brain reconstitutes consciousness and cognition after a major perturbation like general anesthesia is an important question with significant neuroscientific and clinical implications. Recent empirical studies in animals and humans suggest that the recovery of consciousness after anesthesia is not random but ordered. Emergence patterns have been classified as progressive and abrupt transitions from anesthesia to consciousness, with associated differences in duration and electroencephalogram (EEG) properties. We hypothesized that the progressive and abrupt emergence patterns from the unconscious state are associated with, respectively, continuous and discontinuous synchronization transitions in functional brain networks. The discontinuous transition is explainable with the concept of explosive synchronization, which has been studied almost exclusively in network science. We used the Kuramato model, a simple oscillatory network model, to simulate progressive and abrupt transitions in anatomical human brain networks acquired from diffusion tensor imaging (DTI) of 82 brain regions. To facilitate explosive synchronization, distinct frequencies for hub nodes with a large frequency disassortativity (i.e., higher frequency nodes linking with lower frequency nodes, or vice versa) were applied to the brain network. In this simulation study, we demonstrated that both progressive and abrupt transitions follow distinct synchronization processes at the individual node, cluster, and global network levels. The characteristic synchronization patterns of brain regions that are “progressive and earlier” or “abrupt but delayed” account for previously reported behavioral responses of gradual and abrupt emergence from the unconscious state. The characteristic network synchronization processes observed at different scales provide new insights into how regional brain functions are reconstituted during progressive and abrupt emergence from the unconscious state. This theoretical approach also offers a principled explanation of how the brain reconstitutes consciousness and cognitive functions after physiologic (sleep), pharmacologic (anesthesia), and pathologic (coma) perturbations.
机译:在像全身麻醉这样的大扰动后,大脑如何重构意识和认知是一个重要的问题,具有重要的神经科学和临床意义。最近在动物和人类中进行的经验研究表明,麻醉后意识的恢复不是随机的而是有序的。出现的模式已被分类为从麻醉到意识的进行性和突然转变,以及持续时间和脑电图(EEG)属性的相关差异。我们假设无意识状态的进行性和突然出现模式分别与功能性大脑网络中的连续和不连续同步转变相关。不连续的过渡可以用爆炸性同步的概念来解释,爆炸性同步的概念几乎是在网络科学中专门研究的。我们使用Kuramato模型(一种简单的振荡网络模型)来模拟从82个脑区的扩散张量成像(DTI)获取的解剖学人脑网络中的渐进和突变。为了促进爆炸性同步,将具有较大频率离散性的集线器节点(即较高频率的节点与较低频率的节点链接,反之亦然)的不同频率应用于脑网络。在此仿真研究中,我们证明了渐进式过渡和突变式过渡在单个节点,群集和全局网络级别均遵循不同的同步过程。大脑区域“渐进且更早”或“突然但延迟”的特征性同步模式解释了先前报道的无意识状态逐渐突然出现的行为反应。在不同规模上观察到的特征性网络同步过程为从无意识状态进行性和突然出现期间如何重构区域性大脑功能提供了新见解。这种理论方法还提供了关于在生理(睡眠),药理(麻醉)和病理(昏迷)扰动后大脑如何重构意识和认知功能的原理性解释。

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