rs-fMRI结合图论分析对癫痫共病抑郁的脑功能网络研究OA北大核心CSTPCD

Objective: To study the topology of brain functional networks in epilepsy comorbidity depression using resting-state functional magnetic resonance imaging (rs-fMRI) combined with graph theory analysis. Materials and Methods: Fifty-five included epilepsy patients underwent rs-fMRI examination and 17 item version of Hamilton Depression Rating Scale (HAMD) assessment, and were divided into depression and non-depression groups based on HAMD scores, with 30 cases in the depression group (ED group) and 25 cases in the non-depression group (E group) finally included. Based on the brain network analysis method of rs-fMRI combined with graph theory, the brain functional connectivity network was constructed, the global and node indexes of the brain network topology were calculated, and analyze whether there are abnormalities in the topological properties of the brain networks in the ED and E groups, and whether there is a correlation between abnormal indicators and HAMD scores. Results: The clustering coefficient (Cp) and standardized characteristic path length (lambda, λ) decreased in patients in ED group, and the difference was statistically significant (P<0.05). At the nodal level, the brain regions with decreased centrality included the left cuneus and left supraoccipital gyrus; the brain regions with increased centrality were located in the orbital part of the right middle frontal gyrus, and the differences were all statistically significant (P<0.05, FDR corrected). Global attribute clustering coefficients (r=-0.349, P=0.012), node clustering coefficients (NCp) of the left superior occipital gyrus (r=-0.382, P=0.006), NCp of the left cuneus (r=-0.477, P<0.001), and nodal local efficiency (NLe) of the left superior occipital gyrus nodes (r=-0.351, P=0.011) were negatively correlated with HAMD scores, and NLe of the orbital node of the right middle frontal gyrus (r=0.409, P=0.003) was positively correlated with HAMD scores. Conclusions: In this study, we found that patients with epilepsy with/without depression have small-world network properties, the abnormal changes in some global and nodal indicators of its brain functional network provide imaging evidence for a better understanding of the occurrence and development of comorbidities and depression in epilepsy.