Efficacy of oxcarbazepine in treating focal epilepsy based on resting-state EEG functional connectivity and power spectral analyses

Abstract Background Objective electroencephalography (EEG)-based biomarkers are needed to assess oxcarbazepine (OXC) response in patients with focal epilepsy. This study aimed to identify resting-state EEG biomarkers associated with oxcarbazepine efficacy in focal epilepsy using power spectral and functional connectivity analyses. Methods In this retrospective cohort study, 27 drug-naïve patients with focal epilepsy underwent resting-state EEG before treatment and approximately 1 year after initiating OXC monotherapy. Nineteen 10–20 system electrodes were recorded at 256/512 Hz, and preprocessed (resampling, detrending, 50 Hz notch, 0.5–70 Hz band-pass, independent component analysis [ICA] artifact removal). Relative power spectral density (rPSD) was estimated via Welch’s method (5 s windows, 50% overlap). Functional connectivity (FC) was quantified by amplitude envelope correlation with correction (AEC-C) within canonical bands, yielding 19×19 matrices. Group comparisons used nonparametric tests with Benjamini–Hochberg false discovery rate (FDR) correction for rPSD and network-based statistic (NBS) for FC (5,000 permutations; initial thresholds t = 2.787, P < 0.01, and t = 3.725, P < 0.001). Clinical outcomes were classified as seizure-free (SF) or not seizure-free (NSF) at 6–24 months after OXC initiation. Results Baseline clinical characteristics did not differ between groups. At the on-treatment follow-up EEG, the NSF group exhibited significantly higher θ-band rPSD at multiple frontal–central electrodes (Fp1, Fp2, F3, F4, C3, C4, F7, F8, Fz, Cz) after FDR correction. FC analysis showed stronger δ-band connectivity in the NSF group across frontal–central nodes at P < 0.01; under the stricter threshold ( P < 0.001), a robust edge between P3 and F7 remained significantly stronger in the NSF group. No significant between-group differences were observed in other frequency bands after correction. Conclusions These findings suggest that the response to oxcarbazepine in focal epilepsy is linked to differential regulation of slow-frequency brain networks. Persistent low-frequency synchronization reflects ongoing network instability and reduced treatment efficacy, whereas attenuation of pathological slow-wave activity indicates effective network stabilization. These band-limited spectral and network features are promising EEG features associated with treatment response to OXC.

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Journal
Acta Epileptologica
Published
2026-07-22
DOI
https://doi.org/10.1186/s42494-026-00270-6
Primary Topic
Functional Brain Connectivity Studies
Type
article
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article

Efficacy of oxcarbazepine in treating focal epilepsy based on resting-state EEG functional connectivity and power spectral analyses

Shupeng Cheng, Yue Wang, Jing Ning, Rong Rong et al.
Acta Epileptologica
Functional Brain Connectivity Studies
article

Efficacy of oxcarbazepine in treating focal epilepsy based on resting-state EEG functional connectivity and power spectral analyses

Shupeng Cheng, Yue Wang, Jing Ning, Rong Rong, Wenkang Li, Xiaoshan Wang
article en

Abstract

Abstract Background Objective electroencephalography (EEG)-based biomarkers are needed to assess oxcarbazepine (OXC) response in patients with focal epilepsy. This study aimed to identify resting-state EEG biomarkers associated with oxcarbazepine efficacy in focal epilepsy using power spectral and functional connectivity analyses. Methods In this retrospective cohort study, 27 drug-naïve patients with focal epilepsy underwent resting-state EEG before treatment and approximately 1 year after initiating OXC monotherapy. Nineteen 10–20 system electrodes were recorded at 256/512 Hz, and preprocessed (resampling, detrending, 50 Hz notch, 0.5–70 Hz band-pass, independent component analysis [ICA] artifact removal). Relative power spectral density (rPSD) was estimated via Welch’s method (5 s windows, 50% overlap). Functional connectivity (FC) was quantified by amplitude envelope correlation with correction (AEC-C) within canonical bands, yielding 19×19 matrices. Group comparisons used nonparametric tests with Benjamini–Hochberg false discovery rate (FDR) correction for rPSD and network-based statistic (NBS) for FC (5,000 permutations; initial thresholds t = 2.787, P < 0.01, and t = 3.725, P < 0.001). Clinical outcomes were classified as seizure-free (SF) or not seizure-free (NSF) at 6–24 months after OXC initiation. Results Baseline clinical characteristics did not differ between groups. At the on-treatment follow-up EEG, the NSF group exhibited significantly higher θ-band rPSD at multiple frontal–central electrodes (Fp1, Fp2, F3, F4, C3, C4, F7, F8, Fz, Cz) after FDR correction. FC analysis showed stronger δ-band connectivity in the NSF group across frontal–central nodes at P < 0.01; under the stricter threshold ( P < 0.001), a robust edge between P3 and F7 remained significantly stronger in the NSF group. No significant between-group differences were observed in other frequency bands after correction. Conclusions These findings suggest that the response to oxcarbazepine in focal epilepsy is linked to differential regulation of slow-frequency brain networks. Persistent low-frequency synchronization reflects ongoing network instability and reduced treatment efficacy, whereas attenuation of pathological slow-wave activity indicates effective network stabilization. These band-limited spectral and network features are promising EEG features associated with treatment response to OXC.

Acta EpileptologicaVol. 8(1)
Nanjing Brain Hospital (CN), Nanjing Drum Tower Hospital (CN), Nanjing Medical University (CN)
Good health and well-being
Openalex Percentile: Top 7%
Functional Brain Connectivity Studies
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