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Event

MEG@McGill Comprehensive Training

Monday, March 16, 2015toFriday, March 20, 2015
Montreal Neurological Institute 3801 rue University, Montreal, QC, H3A 2B4, CA
Price: 
5-day course: McGillians: $1,000 - Externals: $1,200; (4 groups of 3 people each); First day only (full-day lectures): McGillians: $50 - Externals: $100

A week of hands-on training experience with MEG imaging

Ìý

From paradigm design to advanced data analysis

Where:

MEG Unit, McConnell Brain Imaging Centre

Montreal Neurological Institute, Ï㽶ÊÓƵ

3801 University St, Montreal (Canada)

When:

March 16-20, 2015

RegistrationÌýdeadline: February 27, 2015

Target audience:

Students, researchers and staff with no prior experience with MEG

Participation fees:

  • 5-day course: McGillians: $1,000 - Externals: $1,200;Ìý(4 groups of 3 people each)
  • First day only (full-day lectures): McGillians: $50 - Externals: $100
  • Registration

Ìý


Program overview

Day 1: Full-day MEG/EEG imaging crash course

  • Principles and foundations: physics, physiology, instrumentation and signal formation, neural oscillations

  • Typical paradigm designs

  • Time series analysis and imaging, event-related responses, spectral and time-frequency decompositions,functional connectivity

Next 4 days are hands-on, in small groups (3 per group, 4 groups max)

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?

Register now!


Detailed program

Except where indicated, all trainers are members of theÌýMEG@McGill core unitÌýat the McConnell Brain Imaging Centre

Day 1: Lectures

08:00-09:00: Breakfast, Welcome

09:00-13:00: Foundations of MEG/EEG

The physiological origins of scalp signals (Baillet)

Q&A, coffeeÌý

Instrumentation & environment (Bock)

Q&A, coffeeÌý

Basic signal extraction: ERP/ERFs (Moreau) (30mins)

Spectral analysis (Fourier, wavelet decompositions, Hilbert tranform)Ìý(Donhauser)Ìý

13:00-14:00: Lunch break

14:00-18:00:ÌýSpecial Emphasis: Signal Analysis of Neural Oscillations,ÌýCross-Frequency Coupling & Functional Connectivity

Neural oscillations (Jerbi, Dept of Psychology, University of Montreal)

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-Galan)

Day 2: MEG by example: Design your first experiment

08:30-12:30: MEG by example

Decision-making (Vaidya)Ìý
Memory - monitoring (Petrides)
Steady-state visual responses (Chadnova)Ìý
Induced visual gamma (Donhauser)
Q&A, coffee (30 mins)

Speech (Donhauser)Ìý
Auditory processes (Albouy)Ìý
Dynamics of multimodal interactions (Morillon)
Real-time imaging & biofeedback, neurofeedback (Samiee)

12:30-13:30: Lunch break

13:30-17:30:ÌýBreak-out groups per neuroscience interest:ÌýDesign your first experiment

Form small focus groups (vision, attention, memory, sensori-motor, etc.)
Brainstorm and design your first MEG studyÌý
Used Psychtoolbox script templates
Test in MEG suite

Day 3: Data collection in practice (antomicalÌýMRI and MEG: 2 hours max per group)

AM: Groups 1 & 2
Free: Groups 3 & 4Ìý

PM: Groups 3 & 4
Free: Groups 1 & 2

Launch Freesurfer pipeline on acquired MRI volumes overnight

Day 4: Hands-on analysis of collected data using Brainstorm

08:00-18:00: Pre-processing/basic analysis on the data they collected

Each group assisted by an MEG expert; includes sofware training with Brainstorm.

Day 5: Advanced data analysis and group presentations

08:00-12:00: Advanced analysis

Each group will be assisted by an MEG expert;Ìýprepare presentations for data analysis competition

13:00-15:00: Data analysis competition

Each group presents to theÌýMEG@McGillÌýTeam (30 mins each)

Best narrative & analysis wins special prize!

15:00-20:00: Montreal 5@7 and dinner

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