Altered Metabolic Networks in Mesial Temporal Lobe Epilepsy with Focal to Bilateral Seizures.
Zhihao GuoJiajie MoJian-Guo ZhangWenhan HuChao ZhangXiu WangBaotian ZhaoKai ZhangPublished in: Brain sciences (2023)
This study was designed to identify whether the metabolic network changes in mesial temporal lobe epilepsy (MTLE) patients with focal to bilateral tonic-clonic seizures (FBTCS) differ from changes in patients without FBTCS. This retrospective analysis enrolled 30 healthy controls and 54 total MTLE patients, of whom 27 had FBTCS. Fluorodeoxyglucose positron emission tomography (FDG-PET) data and graph theoretical analyses were used to examine metabolic connectivity. The differences in metabolic networks between the three groups were compared. Significant changes in both local and global network topology were evident in FBTCS+ patients as compared to healthy controls, with a lower assortative coefficient and altered betweenness centrality in 15 brain regions. While global network measures did not differ significantly when comparing FBTCS- patients to healthy controls, alterations in betweenness centrality were evident in 13 brain regions. Significantly altered betweenness centrality was also observed in four brain regions when comparing patients with and without FBTCS. The study revealed greater metabolic network abnormalities in MTLE patients with FBTCS as compared to FBTCS- patients, indicating the existence of distinct epileptogenic networks. These findings can provide insight into the pathophysiological basis of FBTCS.
Keyphrases
- end stage renal disease
- positron emission tomography
- ejection fraction
- newly diagnosed
- chronic kidney disease
- computed tomography
- temporal lobe epilepsy
- patient reported outcomes
- white matter
- machine learning
- case report
- pet imaging
- artificial intelligence
- electronic health record
- convolutional neural network
- network analysis
- contrast enhanced
- neural network