Diffusion magnetic resonance imaging is based on the Brownian motion of the water molecules in biological tissue. In this talk, I will briefly present diffusion imaging for the purpose of quantifying the integrity of white matter and its connectivity via tractography. I will present in a didactic manner the “connectome”, its importance for neurosciences and brain diseases, so that all REPARTI members will be able to learn something. I will share some personal contributions to the field and give you my vision of the future for connectome imaging in a quantitative and multimodal way.

Your highways are working hard! (connectome metabolism in an Alzheimer's person)

The presentation will be given in French and the slides will be in English.

Maxime DESCOTEAUX, PhD is a Professor in Computer Science since 2009 in the Faculty of Science of Sherbrooke University. He is the founder and director of the Sherbrooke Connectivity Imaging Laboratory (SCIL) (http://scil.usherbrooke.ca/). His research focuses on brain connectivity from state-of-the-art diffusion MRI acquisition, reconstruction, tractography, processing and visualization. The aim of the SCIL is to better understand structural connectivity, develop novel tractography algorithms, validate them and use them for human brain mapping and connectomics applications. Maxime Descoteaux was a post-doctoral fellow at NeuroSpin under the supervision of Cyril Poupon and Denis Le Bihan. He also obtained a PhD in Computer Science at INRIA Sophia Antipolis - Mediterranée, supervised by R. Deriche after completing a M.Sc under the supervision of K. Siddiqi in Computer Science at the Center for Intelligent Machines, McGill University, where he also obtained a B.Sc, graduating from the joint honors Mathematics and Computer Science program. Professor Descoteaux holds the USherbrooke Institutional Research Chair in NeuroInformatics. He has been cited more than 8500+ times and has 110+ journal publications, according to google scholar.

Zoom Meeting
To obtain the Zoom meeting web link, please contact:
Annette.Schwerdtfeger@gel.ulaval.ca