Samuel Deslauriers Gauthier
- INRIA - Université Côte d'Azur - Nice
Wednesday, November 14, 2018
Meeting room 2nd floor Ca Vignal 2
The signals observed in EEG are directly related to the underlying bioelectric activity of the brain. EEG can therefore be used to observe which regions of the brain are activated at a resolution of a few millisecond. However, inferring the brain activity from EEG measurements is a difficult problem due to the limited number of electrodes that can be placed on the scalp. To improve the situation, all current methods simplify the problem using hypotheses, usually based on the subject’s anatomy. A common assumption is that the cortex can be subdivided into regions where the activity is coherent. This idea could be pushed further by assuming that the cortical regions are connected by fiber going through the white matter. However, there are very few EEG models which support anatomical connections of cortical regions.
The advances of the past 20 years in diffusion Magnetic Resonance Imaging (dMRI) offers a new perspective on brain anatomy: the white matter fiber tracts. Indeed, we are now able to visualize and quantify anatomical connections in the brain. The information obtained in EEG and dMRI is therefore complementary, however there are very few available strategies which take advantage of both EEG and dMRI. In this presentation, we present a new method to infer cortical activation and white matter information flow using joint EEG and dMRI measurements.