[If the videos do not appear above, you can access them at https://vimeo.com/album/4591341]
Day 1: Full-day MEG/EEG imaging crash course
- Full program [april2017_final_program.pdf] (73.8 KB)
- The physiological origins of scalp signals: Sylvain Baillet, PhD, Professor, Director of MEG Research, McConnell Brain Imaging Centre [Download Slides PDF] (7.6 MB)
- Basic signal extraction: ERP/ERFs, Jeremy Moreau, PhD Student, neuroSPEED Lab. [SLIDES]
- Spectral analysis, Peter Donhauser, PhD Student, neuroSPEED Lab [Download Slides PDF] (3.9 MB)
- Source imaging 101: Christophe Grova, PhD, Assistant Professor, Physics Dpt, and PERFORM centre, Concordia University
- The Functional and Effective Connectivity Toolkit for MEG Scientists: Sylvain Baillet [Download slides PDF] (14.4 MB)
- Applications of MEG and MSI in the presurgical evaluation for intractable paediatric epilepsy: Jeremy Moreau, PhD Student, neuroSPEED Lab
Day 2-5
- 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?