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Co-occurrence of Interictal Epileptiform Discharges (IEDs) and High Frequency Oscillations (HFOs) in intracranial EEG.
Epilepsy is characterized by seizures. Therapy aims for seizure freedom or seizure reduction. Since seizures are rare events, diagnostic tools analyze the time between seizures, the interictal period. Interictal Epileptiform Discharges (IED) are a traditional and sensitive marker for epileptogenic brain tissue, which are, however, not very specific. More recently, High Frequency Oscillations (HFO) were defined as a more specific marker, which is, however, hard to detect The combination of IED and HFO is thought to improve diagnostic accuracy.
In a recent publication that analyzed scalp EEG, the combined presence of IED and HFO enhanced the localization of epileptogenic brain tissue (Cai et al. , 2021). We have published data where intracranial EEG was recorded in patients that were candidates for epilepsy surgery (Fedele et al. , 2017).
In the proposed project, we analyze intracranial EEG that was recorded while patients were in deep sleep (Fedele et al. , 2017). We test whether the combined presence of IED and HFO improves the prediction accuracy of postoperative seizure freedom.
Baud MO, Kleen JK, Anumanchipalli GK, Hamilton LS, Tan YL, Knowlton R, Chang EF. Unsupervised Learning of Spatiotemporal Interictal Discharges in Focal Epilepsy. Neurosurgery. 2018;83:683-91. https://doi.org/10.1093/neuros/nyx480
Cai Z, Sohrabpour A, Jiang H, Ye S, Joseph B, Brinkmann BH, Worrell GA, He B. Noninvasive high-frequency oscillations riding spikes delineates epileptogenic sources. Proc Natl Acad Sci U S A. 2021;118. https://doi.org/10.1073/pnas.2011130118
Fedele T, Burnos S, Boran E, Krayenbühl N, Hilfiker P, Grunwald T, Sarnthein J. Resection of high frequency oscillations predicts seizure outcome in the individual patient. Scientific Reports. 2017;7:13836. https://doi.org/10.1038/s41598-017-13064-1
Tasks of the project:
1. Gain experience with a MATLAB package for IED detection (Baud et al. , 2018).
2. Perform IED detection on a public dataset of 20 epilepsy patients with intracranial EEG recordings and HFO markings.
3. Analyze the co-occurrence of IED and HFO following the procedure in (Cai et al. , 2021).
4. Compare the resected brain area, the area of IED and HFO, and postoperative seizure freedom.
Tasks of the project: 1. Gain experience with a MATLAB package for IED detection (Baud et al. , 2018). 2. Perform IED detection on a public dataset of 20 epilepsy patients with intracranial EEG recordings and HFO markings. 3. Analyze the co-occurrence of IED and HFO following the procedure in (Cai et al. , 2021). 4. Compare the resected brain area, the area of IED and HFO, and postoperative seizure freedom.
Co-authorship on a publication of the results in a scientific journal is possible and desirable.
Please consult https://hfozuri.ch for further information.
Co-authorship on a publication of the results in a scientific journal is possible and desirable. Please consult https://hfozuri.ch for further information.