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• W2898896073 abstract "Summary High‐frequency oscillations ( HFO s), including ripples (Rs) and fast ripples ( FR s), are promising biomarkers of epileptogenesis, but their clinical utility is limited by the lack of a standardized approach to identification. We set out to determine whether electroencephalographers experienced in HFO analysis can reliably identify and quantify interictal HFO s. Two blinded raters independently reviewed 10 intraoperative electrocorticography ( EC oG) samples from epilepsy surgery cases, and 10 scalp EEG samples from epilepsy monitoring unit evaluations. HFO s were visually marked using bandpass filters (R, 80–250 Hz; FR , 250–500 Hz) with a sampling frequency of 2,000 Hz. There was agreement as to the presence or absence of epileptiform discharges ( EDs ), Rs, and FRs, in 17, 18, and 18 cases, respectively. Interrater reliability ( IRR ) was favorable with κ = 0.70, 0.80, and 0.80, respectively, and similar for EC oG and scalp electroencephalography (EEG) . Furthermore, interclass correlation for rates of Rs (0.99, 95% confidence interval [CI ] 0.96–0.99) and FRs (0.77, 95% CI 0.41–0.91) were superior in comparison to EDs (0.37, 95% CI −0.60 to 0.75). Our data suggest that HFO identification and quantification are reliable among experienced electroencephalographers. Our findings support the reliability of utilizing HFO data in both research and clinical arenas." @default.
• W2898896073 created "2018-11-09" @default.
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• W2898896073 date "2018-11-02" @default.
• W2898896073 modified "2023-10-15" @default.
• W2898896073 title "Interrater reliability in visual identification of interictal high‐frequency oscillations on electrocorticography and scalp <scp>EEG</scp>" @default.
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• W2898896073 doi "https://doi.org/10.1002/epi4.12266" @default.
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