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DOI 10.1111/cns.13707

Медицинская библиотека · CNS neuroscience & therapeutics · 2021

Recognition of seizure semiology and semiquantitative FDG-PET analysis of anti-LGI1 encephalitis.

Li Tao-Ran, Zhang Yu-Di, Wang Qun, Shao Xiao-Qiu, Lv Rui-Juan

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

AIMS: Anti-leucine-rich glioma-inactivated 1 (LGI1) autoimmune encephalitis (AE) is characterized by complex manifestations of seizures. Here, we report a new seizure semiology, attempt to classify the disease by semiology type, and explore the metabolic pattern of each group.

METHODS

Anti-LGI1 AE patients were retrospectively screened between May 2014 and September 2019 in our tertiary epilepsy center. All enrolled patients had seizures during long-range video electroencephalogram (EEG) recordings, and all patients (except one) underwent [18 F] fluoro-2-deoxyglucose (FDG) positron emission tomography (PET) scans. Voxel-based metabolic analysis and z-distribution analysis were carried out to determine the metabolic pattern.

RESULTS

Thirty-three patients were enrolled. According to the patients' seizure semiology, we divided the patients into four groups: focal impaired awareness seizures (FIAS, n = 17), faciobrachial dystonic seizures (FBDS)-only (n = 6), FBDS-plus (n = 8), and focal aware motor seizures (FAMS) (n = 2). No significant differences were found in the clinical manifestations or accessory tests except for the onset age (FIAS < FBDS-plus) and seizure semiology. This was the first study to extensively describe the clinical manifestations and EEG of FAMS in anti-LGI1 AE patients. In addition, we found that the patients with different semiologies all showed a wide range of abnormal metabolism, which is not limited to the temporal regions and basal ganglia, and extends far beyond our previous interpretation of FDG-PET data.

CONCLUSION

Our results showed that FAMS can serve as a rare indicative seizure semiology of anti-LGI1 AE and that individuals with this disease exhibited widespread functional network alterations.

Для цитирования: Li Tao-Ran, Zhang Yu-Di, Wang Qun, Shao Xiao-Qiu, Lv Rui-Juan. Recognition of seizure semiology and semiquantitative FDG-PET analysis of anti-LGI1 encephalitis.. CNS neuroscience & therapeutics. 2021. DOI: 10.1111/cns.13707.

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