A journey on your brain highways: diffusion MRI and connectomics of the future
REPARTI Seminar
Un voyage sur vos autoroutes cérébrales : IRM de diffusion et connectomics du futur
A journey on your brain highways: diffusion MRI and connectomics of the future
Join Zoom Webinar Meeting
Meeting ID (Numéro de la rencontre) : 268 900 3498
Password (Mot de passe) : 135845
La présentation sera donnée en français et les diapos seront en anglais.
The presentation will be given in French and the slides will be in English.
Résumé :
L'imagerie par résonance magnétique de diffusion est basée sur le mouvement brownien de la molécule d'eau dans les tissus biologiques. Dans cet exposé, je présenterai l'imagerie de diffusion en bref à des fins de quantification de l'intégrité de la matière blanche et sa connectivité via la tractographie. Je présenterai de façon didactique le « connectome », son importance pour les neurosciences et les maladies du cerveau, afin que tous les membres du REPARTI puissent apprécier et apprendre quelque chose. Je partagerai quelques contributions personnelles au domaine et vous donnerez ma vision du futur pour l'imagerie du connectome de façon quantitative et multi-modale.
Abstract:
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.
Bio:
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). 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.
