Ji Xuan, Qu Ruowei, Wang Zhaonan, Wang Shifeng, Xu Guizhi
School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin 300130, P. R. China.
State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300401, P. R. China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2024 Aug 25;41(4):708-714. doi: 10.7507/1001-5515.202312025.
The establishment of brain metabolic network is based on fluoro-deoxyglucose positron emission computed tomography ( F-FDG PET) analysis, which reflect the brain functional network connectivity in normal physiological state or disease state. It is now applied to basic and clinical brain functional network research. In this paper, we constructed a metabolic network for the cerebral cortex firstly according to F-FDG PET image data from patients with temporal lobe epilepsy (TLE).Then, a statistical analysis to the network properties of patients with left or right TLE and controls was performed. It is shown that the connectivity of the brain metabolic network is weakened in patients with TLE, the topology of the network is changed and the transmission efficiency of the network is reduced, which means the brain metabolic network connectivity is extensively impaired in patients with TLE. It is confirmed that the brain metabolic network analysis based on F-FDG PET can provide a new perspective for the diagnose and therapy of epilepsy by utilizing PET images.
脑代谢网络的建立基于氟代脱氧葡萄糖正电子发射计算机断层扫描（F-FDG PET）分析，其反映正常生理状态或疾病状态下的脑功能网络连通性。目前它已应用于基础和临床脑功能网络研究。在本文中，我们首先根据颞叶癫痫（TLE）患者的F-FDG PET图像数据构建了大脑皮质的代谢网络。然后，对左侧或右侧TLE患者及对照组的网络属性进行了统计分析。结果表明，TLE患者脑代谢网络的连通性减弱，网络拓扑结构改变，网络传输效率降低，这意味着TLE患者的脑代谢网络连通性广泛受损。证实基于F-FDG PET的脑代谢网络分析可通过利用PET图像为癫痫的诊断和治疗提供新的视角。
