Computational Brain Connectivity Mapping - Samuel Deslauriers-Gauthier (ATHENA)
Channel: Damien Saucez
Date: 2022-05-02

Abstract
========

In the first part of this talk, I will present my background, research interests, and the project that allowed me to join Inria: the ERC CoBCoM. In the second part, I will provide an overview of my current research, which is on the estimation and quantification of whole brain networks. I will start by introducing the tools of the trade: magnetic resonance imaging (MRI), diffusion MRI, functional MRI, electroencephalography, and magnetoencephalography. Then, I will discuss how these imaging techniques provide complementary views of the brain and how we can combine them to gain new insights about the dynamics of the brain. Finally, I will conclude by discussing the open problems and challenges of non-invasively characterizing a network composed of 80 billion neurons connected by 160 000 km of axons.

Bio
===

Samuel Deslauriers-Gauthier obtained a master from the l’École de Technologie Supérieure de Montréal in 2010 and a doctorate in signal processing from the Nanyang Technological University of Singapour in 2014. After a postdoctoral fellowship at l’Université de Sherbrooke, he joined Inria in 2017 as a Starting Research Position in the ERC Advanced Grant of Rachid Deriche and in September 2021 he obtained a Inria Starting Faculty Position. His research interests are centered around signal modelling and processing in medical imaging, more specifically in electroencephalography, magnetoencephalography, magnetic resonance imaging, and electromyography. His recent work has focused on recovering the information flow in the white matter of the brain from multi-modal imaging and understanding the link between the brain's structure and function.