[Construction and analysis of brain metabolic network in temporal lobe epilepsy patients based on ¹⁸F-FDG PET].

Q4 Medicine 生物医学工程学杂志 Pub Date : 2024-08-25 DOI:10.7507/1001-5515.202312025

Xuan Ji, Ruowei Qu, Zhaonan Wang, Shifeng Wang, Guizhi Xu

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Abstract

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.

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[基于 18F-FDG PET 的颞叶癫痫患者脑代谢网络构建与分析]。

脑代谢网络的建立基于18氟脱氧葡萄糖正电子发射计算机断层扫描（18F-FDG PET）分析，它反映了正常生理状态或疾病状态下脑功能网络的连通性。目前，它已被应用于基础和临床脑功能网络研究。本文首先根据颞叶癫痫（TLE）患者的 18F-FDG PET 图像数据构建了大脑皮层代谢网络，然后对左右侧 TLE 患者和对照组的网络特性进行了统计分析。结果表明，颞叶癫痫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，这意味着颞叶癫痫患者脑代谢网络的连通性广泛受损。研究证实，基于18F-FDG PET的脑代谢网络分析可为利用PET图像诊断和治疗癫痫提供新的视角。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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