Multi-scale Analysis of Physiological Brain Networks

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Description

Brain function is based on the communication between sets of neurons at different spatial and temporal scales. The dysfunction of these networks is thus at the origin of several brain pathologies, including epilepsy. The recent improvement in recording methods paves the way for better characterizati...

Brain function is based on the communication between sets of neurons at different spatial and temporal scales. The dysfunction of these networks is thus at the origin of several brain pathologies, including epilepsy. The recent improvement in recording methods paves the way for better characterization of brain networks, with several spatial and temporal resolutions, depending on the techniques used. Still, several key points remain outstanding. First, several mechanisms can underlie the interaction between brain regions, and it remains to determine the most relevant tools in practice to quantify them. Second, there are difficulties in extracting these networks from surface recordings. The best strategies for studying these interactions in a non-invasive way therefore remain to be defined. It will be propose to answer these questions based on simultaneous surface (magneto-encephalography/ electroencephalography) and depth (intracerebral stereotactic EEG, SEEG) recordings, a technique it was developed by the team of Marseille, in patients undergoing preoperative epilepsy assessment. The primary objective is to find, among all the mechanisms of interaction between brain regions, which are most relevant in describing physiological and pathological brain networks. The secondary objective is to test whether the visible coupling information at depth can be found from surface data (EEG, MEG) only. To do this, it will be compare the surface results with the SEEG results. The SEEG implantation is performed on purely clinical criteria for preoperative diagnosis. Magnetoencephalography and EEG are purely passive techniques that do not involve any additional risk. This project is a continuation of an existing project in which we have demonstrated the feasibility of simultaneous SEEG and MEG/EEG recordings.

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