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Scalp Ripple Rates for Rapid Epilepsy Differentiation and Seizure Activity Assessment: Applicability and Influential Factors

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机构: [1]Clinical neuroscience center, the Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China. [2]Guangzhou Laboratory, Guangzhou, China. [3]Epilepsy center, Guangdong, Provincial Hospital of Chinese Medicine, Guangzhou, China. [4]Department of neurology, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
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关键词: epilepsy diagnosis epileptogenicity high-frequency oscillations scalp electroencephalography

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We aim to determine whether automatically detected ripple rate (ADRR) of ten-minute scalp electroencephalography (EEG) during slow-wave sleep can be a useful tool for rapid epilepsy differentiation and seizure activity assessment, and analyze the clinical factors that may affect it.We retrospectively included 336 patients who underwent long-term video EEG with a sampling rate ≥1000 Hz, and three groups were established based on their final clinical diagnosis (non-epilepsy; non-active epilepsy [epilepsy being seizure free for at least one year]; and active epilepsy [epilepsy with one or more seizures in the past year]). ADRRs between groups were compared and diagnostic thresholds set according to the maximum of Youden Index with receiver operating characteristic curve.The 336 patients comprised 49 non-epilepsy and 287 epilepsy patients (95 non-active epilepsy and 192 active epilepsy). The median ADRR of the epilepsy group was significantly greater than in the non-epilepsy group, with a diagnostic threshold of 4.25 /min (specificity 89.8%, sensitivity 47.74%, p<0.001). Following stratification by age, the area under the curve was greatest in the 0-20 years subgroup, threshold 4.10 /min (specificity 100%, sensitivity 52.47%, p<0.001). Regarding distinguishing active epilepsy from non-active epilepsy patients, the area under the curve was also greatest in patients aged 0-20 years, threshold 13.05 /min (specificity 98.36%, sensitivity 35.64%, p<0.001). Following stratification by epilepsy type, the diagnostic efficiency was best in children with developmental and epileptic encephalopathies / epileptic encephalopathies (DEEs/EEs) (threshold 5.20 /min, specificity 100%, sensitivity 100%) and self-limited focal epilepsies (SeLFEs) (threshold 5.45 /min, specificity 80%, sensitivity 100%). Multivariate analysis revealed that the influential factors of ADRRs were age, depth of epileptogenic lesion and seizure frequency.ADRR of scalp EEG can be a rapid and specific method to differentiate epilepsy and evaluate seizure activity. This method is especially suitable for young patients.This article is protected by copyright. All rights reserved.

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出版当年[2022]版:
大类 | 1 区 医学
小类 | 2 区 临床神经病学
最新[2025]版:
大类 | 1 区 医学
小类 | 1 区 临床神经病学
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出版当年[2021]版:
Q1 CLINICAL NEUROLOGY
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Q1 CLINICAL NEUROLOGY

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第一作者机构: [1]Clinical neuroscience center, the Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China.
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通讯机构: [1]Clinical neuroscience center, the Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China. [2]Guangzhou Laboratory, Guangzhou, China. [4]Department of neurology, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China. [*1]Department of Basic Medicine, Guangzhou Laboratory, No. 190, Kaiyuan Avenue, Huangpu District, Guangzhou 510530, China. [*2]Clinical Neuroscience Center, The Seventh Affiliated Hospital of Sun Yat-sen University, No. 628, Zhenyuan Road, Guangming District, Shenzhen 518107, China.
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