3566
Comment:
|
1688
|
Deletions are marked like this. | Additions are marked like this. |
Line 1: | Line 1: |
{{attachment:neuro.jpg}} |
|
Line 25: | Line 27: |
* 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 |
* Time series analysis and imaging, event-related responses, spectral and time-frequency decompositions, functional connectivity * '''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? |
Line 32: | Line 34: |
Registrations will be open soon. | Registration on the McGill BIC website: |
Line 34: | Line 36: |
Priority will be given to McGill staff and trainees. | https://www.mcgill.ca/bic/training-events/meg-training-program Priority will be given to McGill University staff and trainees. |
Line 37: | Line 41: |
=== 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) |
Detailed program on the McGill BIC website: |
Line 54: | Line 43: |
=== 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 |
https://www.mcgill.ca/bic/training-events/meg-training-program |
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
- Time series analysis and imaging, event-related responses, spectral and time-frequency decompositions, functional connectivity
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?
Registration
Registration on the McGill BIC website:
https://www.mcgill.ca/bic/training-events/meg-training-program
Priority will be given to McGill University staff and trainees.
Detailed program
Detailed program on the McGill BIC website:
https://www.mcgill.ca/bic/training-events/meg-training-program