Local and large-scale networks in epilepsy: findings in MEG, intracerebral EEG and simultaneous depth/surface recordings.
Success of epilepsy surgery relies on the precise delineation of the tissues to be resected in order to render the patient seizure free. Within this framework, there are two important issues to consider. Firstly, there exists several markers of epileptogenic tissues, such as interictal spikes, high frequency oscillations, hemodynamic and metabolic responses, which inter-relation and correct estimations are complex issues. Secondly, there is growing evidence of the importance of considering epilepsy as a network disease, beyond the traditional view of the epileptic ‘focus’. In this talk, I will review recent work on markers of epileptic networks, including graph measures and high frequency activity, with emphasis on pitfalls in their characterization and on their relationship with more classical measures based on interictal spikes. Then, I will discuss the relationships between surface measures (EEG, MEG) and network activity as measured on intracerebral EEG. In particular, I will present recent advances on the simultaneous recordings of MEG, EEG and intracerebral EEG and their potential use for validating signal processing methods and developing computational models.
Simultaneous SEEG-MEG-EEG recordings Overcome the SEEG limited spatial sampling (http://www.sciencedirect.com/science/article/pii/S0920121116302510)
Time-Frequency Strategies for Increasing High-Frequency Oscillation Detectability in Intracerebral EEG (http://ieeexplore.ieee.org/document/7458827/?reload=true)