Abstract
Electroencephalography is a commonly used tool for presurgical evaluation of epilepsy patients. In this paper, we present a quantitative evaluation of interictal high frequency oscillations (HFOs) in scalp Electroencephalographies (EEGs) for epileptogenic region localization. We process multichannel EEGs using time-frequency spectral analysis in order to detect HFOs in each EEG channel. Comparison between the results of time-frequency analysis and visual assessment is performed to verify the reliability of time-frequency analysis. Later, \(t\)-test and Pearson correlation analysis are performed to analyze the relationships between ictal HFOs and interictal HFOs. The high correlations between interictal and ictal HFOs imply that interictal HFOs, like ictal HFOs, are valuable in localizing the epileptogenic region. As a result, scalp interictal HFOs are valuable in epileptogenic region localization for presurgical evaluation of epilepsy patients. It holds great potential for reducing the long delay before patients can be referred for surgery.
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Pan, Y., Guan, C., Eng, HL., Ge, S.S., Ng, Y.l., Chan, D.W.S. (2014). Quantitative Evaluation of Interictal High Frequency Oscillations in Scalp EEGs for Epileptogenic Region Localization. In: Sun, F., Li, T., Li, H. (eds) Knowledge Engineering and Management. Advances in Intelligent Systems and Computing, vol 214. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37832-4_38
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DOI: https://doi.org/10.1007/978-3-642-37832-4_38
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