Time-frequency strategies for increasing high frequency oscillation detectability in intracerebral EEG

Nicolas Roehri (1) , Jean-Marc Lina (2) , John C. Mosher (3) , Fabrice Bartolomei (1) , Christian-George Bénar (1)

1 INS - Institut de Neurosciences des Systèmes
2 CRM - Centre de Recherches Mathématiques [Montréal]
3 Cleveland Clinic

Background: High Frequency Oscillations (HFOs) are considered to be highly representative of brain tissues capable of producing epileptic seizures. The visual review of HFOs on intracerebral electroencephalography is time-consuming and tedious, and it can be improved by time-frequency (TF) analysis. The main issue is that the signal is dominated by lower frequencies that mask the HFOs. Our aim was to flatten (i.e. whiten) the frequency spectrum to enhance the fast oscillations while preserving an optimal Signal to Noise Ratio (SNR). Method: We investigated 8 methods of data whitening based on either prewhitening or TF normalization in order to improve the detectability of HFOs. We detected all local maxima of the TF image above a range of thresholds in the HFO band. Results: We obtained the Precision and Recall curves at different SNR and for different HFO types and illustrate the added value of whitening both in the time-frequency plane and in time domain. Conclusion: The normalization strategies based on a baseline and on our proposed method (the " H0 z-score ") are more precise than the others. Significance: The H0 z-score provides an optimal framework for representing and detecting HFOs, independent of a baseline and a priori frequency bands.

Mots clés: stereoelectroencephalography; high-frequency oscillation; whitening; epilepsy; wavelet transform

Domaines: Neurosciences

Nicolas Roehri, Jean-Marc Lina, John C. Mosher, Fabrice Bartolomei, Christian-George Bénar. Time-frequency strategies for increasing high frequency oscillation detectability in intracerebral EEG. IEEE Transactions on Biomedical Engineering, 2016, ⟨10.1109/TBME.2016.2556425⟩. ⟨hal-01316459⟩