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The McConnell Brain Imaging Centre: a Hub of Scientific Excellence for Translational Neuroimaging

Principal Investigator:
  • Julien Doyon, McGill University
Team Members:
  • Robert Zatorre, McGill University
  • Louis Collins, McGill University
  • Douglas Arnold, McGill University
  • Alain Dagher, McGill University
  • Rick Hoge , McGill University
  • Pedro Rosa-Neto, Douglas Mental Health University Institute
  • Robert Hess, McGill University
  • David Ostry, McGill University
  • Howard Chertkow, McGill University
  • Andrea Bernasconi, McGill University
  • Neda Ladbon-Bernasconi, McGill University
  • Alan Evans, Montreal Neurological Institute and Hospital, McGill University
  • Alexey Kostikov, McGill University
  • Gassan Massarweh, McGill University
  • Sridar Narayanan, McGill University
  • Andrew Reader, McGill University
  • Amir Shmuel, McGill University
  • Jean-Paul Soucy, McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University
  • Michael Petrides, McGill University
  • Montreal Neurological Institute - McGill University

Project Overview

The McConnell Brain Imaging Centre (BIC) is a major platform and research centre entirely dedicated to brain imaging. It features 7 multimodal imaging core units (MRI, PET, MEG, EEG for humans and disease models), comprehensive high-performance computing and data storage resources, and prominent expertise in biomedical image and signal analysis. Overall, the McConnell Centre is home to 150 faculty, students and support staff. All core units of the BIC are conveniently located under the roof of the Montreal Neurological Institute and Hospital (MNI/H). The Platform Support Grant to the McConnell Brain Imaging Centre is to develop existing and new strengths in multimodal data collection and analysis. One pivotal arm of the grant is to augment production and research capacity in molecular imaging of humans and disease models, to bridge between observation scales, cellular mechanisms, multimodal phenotypes and behavior. Another major emphasis is on enabling new research and training capacity in Neuroinformatics, with advanced data computing, management and curation, under the principles of open science and reproducible research.