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== Registration == Registrations will be open soon. Priority will be given to McGill University staff and trainees. |
MEG@McGill Training Program: March 16-20th
Full week training to learn everything about MEG: paradigm design, acquisition and advanced data analysis.
General information
Where: MEG lab, Montreal Neurological Institute, 3801 University St
When: March 16-20th
Target audience: Students, researchers and staff with no prior experience with MEG.
Participation fees:
5-day course: McGillians: $1,000 - Externals: $1,200
First day only: McGillians: $50 - Externals: $100
Maximum attendance:
5-day course: 12 (3 groups x 4 people)
First day only: 100
Program overview
Day 1: MEG/EEG imaging crash course
- Principles: Physics, instrumentation and signal formation, neural oscillations
- Typical paradigm designs
- Signal analysis: Imaging, signal detection, functional connectivity
Day 2: Practical paradigm design
Day 3: Data collection
Day 4: Hands-on analysis of collected data using Brainstorm
Day 5: Advanced data analysis and group presentations
Registration
Registrations will be open soon.
Priority will be given to McGill University staff and trainees.
Detailed program
Day 1: Lectures
08:00-09:00: Breakfast, welcome, laptop clinic
09:00-13:00: Foundations of MEG/EEG
- The physiological origins of scalp signals (Baillet)
Q&A, coffee (30 mins)
- Spectral analysis: Fourier, wavelet decompositions, Hilbert tranforms (Donhauser)
Q&A, coffee (30 mins)
- Neural oscillations (Jerbi)
13:00-14:00: Lunch break
14:00-18:00: Signal analysis
- Basic signal extraction: ERP/ERFs (Dery, Moreau)
- Imaging: forward and inverse modelling (Baillet)
Q&A, coffee (30 mins)
Cross-frequency coupling: methods & what do we know? (Samiee)
Q&A, coffee (30 mins)
- Methods for detecting inter-regional interactions (Niso-Gallan)
Day 2: MEG by example: Design your first experiment
08:30-12:30: MEG by example
Instrumentation & environment (Bock)
Q&A, coffee (30 mins)
- Decision-making (Avi)
- Memory - monitoring (Autran)
- Steady-state visual responses (Chadnova)
- Induced visual gamma (Donhauser)
Q&A, coffee (30 mins)
- Speech (Donhauser)
- Auditory processes (Albouy)
- Dynamics of multimodal interactions (Morillon)
Real-time imaging & biofeedback, neurofeedback (Samiee)
12:30-13:30: Lunch break
13:30-17:30: Design your first experiment
- Form focus groups (vision, attention, memory, sensori-motor, etc.)
- Brainstorm and design your first MEG study
- Use Psychtoolbox script templates
Test in McGill MEG suite
Day 3: Data collection in practice
08:00-12:00: Acquisition groups 1&2
13:00-14:00: Acquisition groups 3&4
- Launch Freesurfer pipeline on acquired MRI volumes overnight
Day 4: Hands-on analysis of collected data using Brainstorm
08:00-18:00: Each group will be assisted by an MEG expert to do pre-processing/basic analysis on the data they collected.
Day 5: Advanced data analysis and group presentations
08:00-12:00: Advanced analysis: Each group will be assisted by an MEG expert
Prepare presentations13:00-15:00: Data analysis competition
Each group presents to the MEG@McGill Team (30 mins each)
Best narrative & analysis wins special prize!15:00-20:00: Montreal 5@7 and dinner