= 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<<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