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基于F-FDG PET的颞叶癫痫患者脑代谢网络构建与分析

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

作者信息

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

机构信息

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.

出版信息

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2024 Aug 25;41(4):708-714. doi: 10.7507/1001-5515.202312025.


DOI:10.7507/1001-5515.202312025
PMID:39218596
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11366458/
Abstract

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.

摘要

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。

相似文献

[1]
[Construction and analysis of brain metabolic network in temporal lobe epilepsy patients based on F-FDG PET].

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2024-8-25

[2]
Metabolic network is related to surgical outcome in temporal lobe epilepsy with hippocampal sclerosis: A brain FDG-PET study.

J Neuroimaging. 2022-3

[3]
Evaluation of brain FDG PET images in temporal lobe epilepsy for lateralization of epileptogenic focus using data mining methods.

Turk J Med Sci. 2020-6-23

[4]
Metabolic covariance networks combining graph theory measuring aberrant topological patterns in mesial temporal lobe epilepsy.

CNS Neurosci Ther. 2018-10-8

[5]
18F-flumazenil: a γ-aminobutyric acid A-specific PET radiotracer for the localization of drug-resistant temporal lobe epilepsy.

J Nucl Med. 2013-7-15

[6]
Metabolic Brain Network and Surgical Outcome in Temporal Lobe Epilepsy: A Graph Theoretical Study Based on F-fluorodeoxyglucose PET.

Neuroscience. 2021-12-1

[7]
Novel assessment of global metabolism by 18F-FDG-PET for localizing affected lobe in temporal lobe epilepsy.

Nucl Med Commun. 2016-8

[8]
Alterations in the metabolic networks of temporal lobe epilepsy patients: A graph theoretical analysis using FDG-PET.

Neuroimage Clin. 2020

[9]
Epilepsy duration impacts on brain glucose metabolism in temporal lobe epilepsy: results of voxel-based mapping.

Epilepsy Behav. 2010-2-10

[10]
18F-FCWAY and 18F-FDG PET in MRI-negative temporal lobe epilepsy.

Epilepsia. 2009-2

本文引用的文献

[1]
[Localization of epileptogenic zone based on reconstruction of dynamical epileptic network and virtual resection].

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2022-12-25

[2]
Interictal HFO and FDG-PET correlation predicts surgical outcome following SEEG.

Epilepsia. 2023-3

[3]
PET molecular imaging for pathophysiological visualization in Alzheimer's disease.

Eur J Nucl Med Mol Imaging. 2023-2

[4]
A deep learning framework for F-FDG PET imaging diagnosis in pediatric patients with temporal lobe epilepsy.

Eur J Nucl Med Mol Imaging. 2021-7

[5]
Seizure Prediction Using Directed Transfer Function and Convolution Neural Network on Intracranial EEG.

IEEE Trans Neural Syst Rehabil Eng. 2020-12

[6]
[Application of scalp electroencephalogram in treatment of refractory epilepsy with vagus nerve stimulation].

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2020-8-25

[7]
Dramatic outcomes in epilepsy: depression, suicide, injuries, and mortality.

Curr Med Res Opin. 2020-9

[8]
Relationship between PET metabolism and SEEG epileptogenicity in focal lesional epilepsy.

Eur J Nucl Med Mol Imaging. 2020-12

[9]
Decision Support System for Seizure Onset Zone Localization Based on Channel Ranking and High-Frequency EEG Activity.

IEEE J Biomed Health Inform. 2018-8-30

[10]
[Research development of real-time functional magnetic resonance imaging neuro-feedback technology based on brain network connectivity].

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2017-6-1

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