1197
Comment:
|
3605
|
Deletions are marked like this. | Additions are marked like this. |
Line 1: | Line 1: |
{{attachment:neuro.jpg}} |
|
Line 12: | Line 14: |
Line 16: | Line 19: |
Line 26: | Line 30: |
* '''Day 4''': Hands-on analysis of collected data using Brainstorm (includes software training) * '''Day 5''': Advanced data analysis and group presentations; what have we learned? |
* '''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. |
Line 30: | Line 39: |
=== 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<<BR>>Prepare presentations * '''13:00-15:00''': Data analysis competition<<BR>>Each group presents to the MEG@McGill Team (30 mins each) <<BR>>Best narrative & analysis wins special prize! * '''15:00-20:00''': Montreal 5@7 and dinner |
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