A Robust Coherence-Based Brain Connectivity Method with an Application to EEG Recordings

Electroencephalography (EEG) is important for epileptic loci identification. Recently, brain connection of EEG has been proved to be an efficient approach to identify epileptic loci. Magnitude square coherence (MSC) is one of the traditional methods to calculate the coherence index. In this study, we propose a robust wavelet spectrum coherence (CWSC) algorithm to calculate the brain connection from EEG recordings, and apply it for epileptic loci identification. The coherence index during ictal and inter-ictal stage for one patient with temporal lobe epilepsy was used to demonstrate the performance of the proposed method. This case study showed that the proposed method had better anti-noise capability. In comparison with the MSC approach, it could be more suitable for localization of epileptic loci with noisy EEG signals.

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