Abstract：
The alteration of neural interactions across different cerebral perfusion states remains unclear. This study aimed to fulfill this gap by examining the longitudinal brain dynamic information interactions before and after cerebral reperfusion. Electroencephalogram in eyes-closed state at baseline and postoperative 7-d and 3-month follow-ups (moyamoya disease: 20, health controls: 23) were recorded. Dynamic network analyses were focused on the features and networks of electroencephalogram microstates across different microstates and perfusion states. Considering the microstate features, the parameters were disturbed of microstate B, C, and D but preserved of microstate A. The transition probabilities of microstates A-B and B-D were increased to play a complementary role across different perfusion states. Moreover, the microstate variability was decreased, but was significantly improved after cerebral reperfusion. Regarding microstate networks, the functional connectivity strengths were declined, mainly within frontal, parietal, and occipital lobes and between parietal and occipital lobes in different perfusion states, but were ameliorated after cerebral reperfusion. This study elucidates how dynamic interaction patterns of brain neurons change after cerebral reperfusion, which allows for the observation of brain network transitions across various perfusion states in a live clinical setting through direct intervention.
摘要：
不同脑灌注状态下神经相互作用的改变尚不清楚。这项研究旨在通过检查大脑再灌注前后的纵向大脑动态信息相互作用来实现这一差距。记录基线和术后7d和3个月随访（烟雾病：20，健康对照：23）的闭眼状态的脑电图。动态网络分析集中在不同微状态和灌注状态的脑电图微状态的特征和网络上。考虑到微观特征，参数受到微状态B的干扰，C,和D，但保留了微状态A。微状态A-B和B-D的转移概率增加，以在不同的灌注状态中起互补作用。此外，微状态变异性降低，但脑再灌注后明显改善。关于微态网络，功能连接强度下降，主要在额叶，顶叶,和枕叶之间以及不同灌注状态的顶叶和枕叶之间，但在脑再灌注后得到改善。这项研究阐明了大脑再灌注后脑神经元的动态相互作用模式是如何变化的，它允许通过直接干预在实时临床环境中观察各种灌注状态下的大脑网络转变。
