首页|基于18F-FDG PET的颞叶癫痫患者脑代谢网络构建与分析

基于18F-FDG PET的颞叶癫痫患者脑代谢网络构建与分析

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基于18氟—脱氧葡萄糖(18F-FDG)的正电子发射计算机断层显像(PET)技术的脑代谢网络分析方法,可以反映大脑在正常生理状态或疾病状态下的脑功能网络连接模式,目前已经初步应用于基础和临床的脑功能网络研究中.本研究根据颞叶癫痫患者的18F-FDG PET图像数据,构建了大脑皮层的代谢网络,并分别对左、右侧颞叶癫痫患者及对照组的网络属性进行了统计学分析.实验结果表明,颞叶癫痫患者大脑代谢网络的连接减弱,网络的拓扑结构发生了变化,网络的传输效率降低,即颞叶癫痫患者脑代谢网络连接出现广泛受损.本文研究证实,18F-FDG PET代谢脑网络分析可为利用PET影像诊断治疗癫痫这一疾病提供新的视角.
Construction and analysis of brain metabolic network in temporal lobe epilepsy patients based on 18F-FDG PET
The establishment of brain metabolic network is based on 18fluoro-deoxyglucose positron emission computed tomography(18F-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 18F-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 18F-FDG PET can provide a new perspective for the diagnose and therapy of epilepsy by utilizing PET images.

Positron emission tomographyStandardized uptake value ratioEpilepsyBrain metabolic networkNetwork characteristic

纪璇、屈若为、王召楠、王石峰、徐桂芝

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河北工业大学生命科学与健康工程学院(天津 300130)

河北工业大学省部共建电工装备可靠性与智能化国家重点实验室(天津 300401)

河北工业大学人工智能与数据科学学院(天津 300401)

天津全景医学影像诊断中心(天津 300110)

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正电子发射计算机断层显像技术 标准化摄取比率值 癫痫 脑代谢网络 网络属性

国家自然科学基金

51977060

2024

生物医学工程学杂志
四川大学华西医院 四川省生物医学工程学会

生物医学工程学杂志

CSTPCD北大核心
影响因子:0.432
ISSN:1001-5515
年,卷(期):2024.41(4)