机构：[1]Beijing Neurosurgical Institute, Capital Medical University, Beijing, China研究所北京市神经外科研究所首都医科大学附属天坛医院[2]Beijing Key Laboratory of Neurostimulation, Beijing, China[3]Department of Neurology, University of Florida, Gainesville, Florida[4]Department of Nuclear Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China医技科室核医学科首都医科大学附属天坛医院[5]Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China重点科室诊疗科室神经外科神经外科首都医科大学附属天坛医院[6]Department of Neurosurgery, General Hospital of Ningxia Medical University, Yinchuan, China
Objective We aimed to study the networks' mechanism of metabolic covariance networks in mesial temporal lobe epilepsy (mTLE), through examining the brain value of fluorine-18-fluorodeoxyglucose positron emission tomography (F-18-FDG-PET). Methods F-18-FDG-PET images from 16 patients with mTLE were analyzed using local and global metabolic covariance network (MCN) approaches, including whole metabolic pattern analysis (WMPA), hippocampus-based (h-) MCN, whole brain (w-) MCN, and edge-based connectivity analysis (EBCA). Results WMPA showed a typical ipsilateral hypometabolism and contralateral hypermetabolism pattern to epileptic zones in mTLE. h-MCN revealed decreased hippocampus-based synchronization in contralateral regions. w-MCN exhibited a disrupted metabolic network with globally increased small-world properties and regionally decreased nodal metrics in the ipsilateral hemisphere. Hippocampus (h)-EBCA and whole brain EBCA (w-EBCA) both detected a reduced-connectivity dominated metabolic covariant network. Moreover, the reduced interhemisphere connectivity seemingly played a major role in the aberrant epileptic topological pattern. Conclusion From a metabolic point of view, we demonstrated the damaging effects with reduced contralateral intranetwork metrics properties and the compensatory effects in contralateral intranetworks with increased network properties. However, the import role of significant reduced interhemisphere connection has rarely been reported in other mTLE studies. Taken together, F-18-FDG-PET MCN analysis provides new evidence that the mTLE is a system neurological disorder with disrupted networks.
基金：
National Natural Science Foundation of ChinaNational Natural Science Foundation of China [81471315, 81660226]; Beijing Municipal Commission Science and Technology [Z161100000516078]
第一作者机构：[1]Beijing Neurosurgical Institute, Capital Medical University, Beijing, China[2]Beijing Key Laboratory of Neurostimulation, Beijing, China
通讯作者：
通讯机构：[1]Beijing Neurosurgical Institute, Capital Medical University, Beijing, China[2]Beijing Key Laboratory of Neurostimulation, Beijing, China[6]Department of Neurosurgery, General Hospital of Ningxia Medical University, Yinchuan, China[*1]Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.[*2]Department of Neurosurgery, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, China.
推荐引用方式(GB/T 7714)：
Wang Kai-Liang,Hu Wei,Liu Ting-Hong,et al.Metabolic covariance networks combining graph theory measuring aberrant topological patterns in mesial temporal lobe epilepsy[J].CNS NEUROSCIENCE & THERAPEUTICS.2019,25(3):396-408.doi:10.1111/cns.13073.
