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Neurological Sciences

Erschienen in:

06.05.2020 | Original Article

Identifying the characteristics of brain glucose metabolism using normal ¹⁸F-FDG PET database in patients with temporal lobe epilepsy

verfasst von: Kun Guo, Yixin Wei, Menghui Yuan, Longxiao Wei, Jie Lu

Erschienen in: Neurological Sciences | Ausgabe 11/2020

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Abstract

Objectives

This study aimed to measure the global brain glucose metabolism of patients with temporal lobe epilepsy (TLE) using MIMneuro software based on the normal brain glucose metabolism database.

Methods

In this cross-sectional study, 23 patients (11 males and 12 females, mean age 25.6 ± 10.1 years) with TLE who underwent ¹⁸F-labeled fluoro-2-deoxyglucose positron emission tomography (¹⁸F-FDG PET) were enrolled. ¹⁸F-FDG PET images were then imported into MIMneuro software, which can automatically analyze the differences in regional brain glucose metabolism between patients and a normal database, and the results of different brain regions were presented by values of Z-score.

Results

In patients with TLE, ¹⁸F-FDG PET imaging showed that in addition to the presence of temporal lobe hypometabolism, there was hypometabolism in the ipsilateral hippocampus, parahippocampal gyrus, insula, amygdala, temporal operculum, and bilateral cerebellar hemisphere, while hypermetabolism was found in the contralateral temporal lobe, frontal lobe, parietal lobe, parietal lobule, angular gyrus, and precentral gyrus. There was no significant difference in brain areas between the left and the right temporal lobe seizures (P > 0.05).

Conclusions

We found that TLE has a specific characteristic in terms of brain glucose metabolism, and the underlying mechanism needs to be further studied that may be helpful to localize seizure focus.

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Titel: Identifying the characteristics of brain glucose metabolism using normal 18F-FDG PET database in patients with temporal lobe epilepsy
verfasst von: Kun Guo
Yixin Wei
Menghui Yuan
Longxiao Wei
Jie Lu
Publikationsdatum: 06.05.2020
Verlag: Springer International Publishing
Erschienen in: Neurological Sciences / Ausgabe 11/2020
Print ISSN: 1590-1874
Elektronische ISSN: 1590-3478
DOI: https://doi.org/10.1007/s10072-020-04426-1

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Identifying the characteristics of brain glucose metabolism using normal ¹⁸F-FDG PET database in patients with temporal lobe epilepsy

Abstract

Objectives

Methods

Results

Conclusions

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Abstract

Objectives

Methods

Results

Conclusions

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