Functional modal feature analysis based on the network transition dynamics of epileptic seizure

Research on the functional connectivity-related characteristics of epilepsy can promote the understanding of seizure mechanisms and features of epilepsy. However, the relationship between the functional modal features of epilepsy and the traditional dynamic features of epilepsy remains unclear. In this study, a cortical-thalamic network model was constructed using structural connectome data from the human brain. By simulating the global epileptic seizure process, we explored the dynamic mechanisms underlying the functional modal features of epilepsy. Our results show that a significant correlation was found between the dynamic characteristics and functional modal characteristics of the network’s pyramidal neurons in the dynamic process of a seizure. In contrast to the high correlation existing in the dynamic process, the relationship between the dynamic features and the functional modal features is more complex during the transition process. The differences in correlation exhibited by cortical neurons and thalamic neurons of the transition pattern of global integration and dominant frequency may imply a unique synchrony between frequency and global integration in the transition process of cortical neurons. The epilepsy’s dynamical states remain highly positively correlated with functional reorganization during the transition process. Meanwhile, the negative correlation between the network’s energy and the functional reorganization rate may indicate that epilepsy’s flexible functional reorganization may depend on the network’s low-energy discharge state. This work provides valuable insights into the complex cognition-related dynamical mechanisms underlying epilepsy.