¿´Æ¬ÊÓƵ

MEG@¿´Æ¬ÊÓƵ Training Programs

MEG@¿´Æ¬ÊÓƵ Comprehensive Training


MEG@¿´Æ¬ÊÓƵ Comprehensive Training

Where:

MEG Unit, McConnell Brain Imaging Centre
Montreal Neurological Institute, ¿´Æ¬ÊÓƵ University
3801 University St, Montreal (Canada)

When:

April 24-28, 2017
Registration

Target audience:

Students, researchers and staff with little to no prior experience with MEG

5-day course - April 24-28, 2017

A week of hands-on training experience with MEG imaging:
From paradigm design to advanced data analysis

Maximum 12 participants (4 groups of 3 people each)
¿´Æ¬ÊÓƵians: $1,000 - Externals: $1,200

1-day course - April 24, 2017

This is the first day of the 5-day comprehensive training course.
This 1-day training is designed to give the attendees an introduction to MEG through lectures and a "MEG by Example" poster session.

Maximum 70 participants
¿´Æ¬ÊÓƵians: $50 - Externals: $100

Ìý


Ìý

April 2017 - PDF icon Final Program

Day 1: Full-day MEG/EEG imaging crash course

Ìý

Keynote : Multivariate pattern classification of MEG signals reveals the spatiotemporal and representational dynamics of the ventral visual pathway: Dimitrios Pantazis, Research Scientist, Director of MEG Lab, McGovern Institute for Brain Research at MIT

Ìý

Foundations and Applications of MEG:

  • The physiological origins of scalp signals: Sylvain Baillet, PhD, Professor, Director of MEG Research, McConnell Brain Imaging Centre
  • , Jeremy Moreau, PhD Student, neuroSPEED Lab
  • Spectral analysis, Peter Donhauser, PhD Student, neuroSPEED Lab
  • Source imaging 101: Christophe Grova, PhD, Assistant Professor, Physics Dpt, and PERFORMÌýcentre, Concordia University
  • The Functional and Effective Connectivity Toolkit for MEG Scientists: Sylvain Baillet, PhD, Professor, Director of MEG Research & Interim Director, McConnell Brain Imaging Centre
  • Applications of MEG and MSI in the presurgical evaluation for intractable paediatric epilepsy: Jeremy Moreau, PhD Student, neuroSPEED Lab

Wine and Cheese: MEG by Example poster session

Next 4 days are hands-on, in small groups (3 per group, 4 groups max)
Day 2: Hands-on practical paradigm design: design your pilot study in small groups
Day 3: Hands-on data collection: collect your own data
Day 4: Hands-on analysis of collected data using Brainstorm (including software training)
Day 5: Advanced data analysis continues and group presentations: what have we learned?


November 2016 Program - PDF icon Full Program

Day 1: Full-day MEG/EEG imaging crash course

PDF icon The physiological origins of scalp signals: Sylvain Baillet, PhD,
Professor, Director of MEG Research, McConnell
Brain Imaging Centre

Jeremy Moreau, PhD Student,
neuroSPEED Lab

PDF icon Spectral analysis, Peter Donhauser, PhD Student, neuroSPEED Lab

Source imaging 101: Christophe Grova, PhD, Assistant Professor,
Physics Dpt, and PERFORM centre, Concordia University

PDF icon Keynote : Multivariate statistical analyses for MEG data
Bratislav Misic, PhD, Assistant Professor, McConnell Brain
Imaging Centre

PDF icon Resting state analysis and the Open MEG Archive (OMEGA), technical and ethical aspects:

Julia Guiomar Niso-Galán, PhD, neuroSPEED lab

MEG and MSI in epilepsy: contributions and limitations illustrated in
real patients: Eliane Kobayashi, MD, PhD, Neurology and
Neurosurgery, ¿´Æ¬ÊÓƵ University and Jeremy Moreau, PhD Student,
neuroSPEED Lab

Next 4 days are hands-on, in small groups (3 per group, 4 groups max)

Day 2: Hands-on practical paradigm design: design your pilot study in small groups

Day 3: Hands-on data collection: collect your own data

Day 4: Hands-on analysis of collected data using Brainstorm (including software training)

Day 5: Advanced data analysis continues and group presentations: what have we learned?

Ìý


Ìý

Ìý

Ìý

Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý

The Neuro logo¿´Æ¬ÊÓƵ logo

Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý Ìý

Back to top