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Intrinsic Brain Activity Differences in Perampanel-responsive and Non-responsive Drug-resistant Epilepsy Patients: an EEG Microstate Analysis

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Specialty Neurology
Date 2024 Feb 1
PMID 38298737
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Abstract

Background: Drug-resistant epilepsy (DRE) patients exhibit aberrant large-scale brain networks. Perampanel may be a therapeutic option for controlling seizures in these patients.

Objective: We aim to explore the differences of resting-state electroencephalogram (EEG) microstate in perampanel-responsive and non-responsive DRE patients.

Design: Retrospective study.

Methods: Clinical data were collected from DRE patients who received perampanel treatment at the Fujian Medical University Union Hospital from June 2020 to September 2021, with a minimum follow-up of 6 months. Patients were classified into three groups based on the extent of reduction in seizure frequency: non-responsive (seizure reduction <50%), responsive (seizure reduction >50% but not seizure-free), and seizure-free. Resting-state EEG data sets of all participants were subjected to EEG microstate analysis. The study comprehensively compared the mean duration, frequency per second, and temporal coverage of each microstate among the three groups.

Results: A total of 76 perampanel-treated DRE patients were categorized into three groups based on their response to treatment: non-responsive ( = 20), responsive ( = 36), and seizure-free ( = 20), according to the degree of seizure frequency reduction. The results of EEG microstate analysis revealed no statistically significant distinctions in frequency, duration, and coverage of microstate D in these DRE patients. However, the seizure-free group showed significantly increased duration and coverage of microstate A, frequency and coverage of microstate B, and significantly decreased duration, frequency, and coverage of microstate C when compared with the other groups.

Conclusion: Microstate A, B, and D is associated with the sensorimotor network, visual network, salience network, and attention network, respectively. This study demonstrates statistically significant differences in the sensorimotor, visual, and salience networks, but not in the attention network, between perampanel-responsive and non-responsive DRE patients.

Citing Articles

A comprehensive prediction model of drug-refractory epilepsy based on combined clinical-EEG microstate features.

Zhang J, Zhu C, Li J, Wu L, Zhang Y, Huang H Ther Adv Neurol Disord. 2024; 17:17562864241276202.

PMID: 39371640 PMC: 11456178. DOI: 10.1177/17562864241276202.

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