The materials of this course are available here.
Thursday May 15
Location: West Wing Seminar Room at the MRC Cognition and Brain Sciences Unit
9:00-9:30: Introduction and MNE overview
● Introduction: History, Community, On line ressources
● A quick tour of the features offered by the MNE software
● Typical data workflow
9:30-10:30: Hands-on training
● Organizing your data
● Reviewing raw data
● Preprocessing: filtering, artifact detection and rejection
10:30-11:00: Coffee break
11:00-12:30: Hands-on training
● Intro to scripting with MNE-Python
● Defining epochs and averaging
● Contrasting conditions
12:30-13:30: Lunch break (food not provided)
13:30-15:00: Hands-on training
● Subject anatomical pipeline with FreeSurfer (discover Freeview)
● Co-registration of MEG/MRI
● Forward modelling
15:00-15:30: Break (no tea/coffee provided)
15:30-17:00: Hands-on training
● Working with your own dataat sensor level
Evening:
● Optional trip to the pub
Friday May 16
Location: West Wing Seminar Room at the MRC Cognition and Brain Sciences Unit
9:00-10:30: Hands on
● Source localization: dSPM and LCMV/DICS beamformer
● Morphing source estimates to a template brain
● Defining anatomical and functional ROIs/Labels
● Extraction of single trial estimates
10:30-11:00: Coffee break
11:00-11:45: Hands on
● Decoding / MVPA / Classification with SVM
11:45-12:30: Demos
● Parametric and non-parametric statistics
● Independant Component Analysis (ICA)
● Functional connectivity
● Non-linear inverse solvers (MxNE)
12:30-13:30 Lunch break (food not provided)
13:30-14:00: Contributing to MNE
14:00-16:30: Working with your own data
16:30-17:00: Course wrap up
● Debriefing
● Where is MNE going?