Beijing, China: April 9-10, 2017
Two-day Brainstorm training session, MEG-oriented.
General information
Where | Xuanwu Hospital, Capital Medical University, Beijing |
When | April 9-10, 2017 |
Organizers | Xianghong Meng, MD PhD (Shenzhen 2nd People Hospital) |
Instructors | Francois Tadel, Sylvain Baillet (Montreal Neurological Institute / McGill) |
Audience | Users interested in analyzing MEG/EEG/sEEG recordings using Brainstorm. Some experience with MEG/EEG is recommended. Teaching in English. Number of participants: 40 |
Slides | Introduction | Source estimation| Time-frequency | Connectivity |
Requirements
The participants are required to bring a laptop (an external mouse will add to your comfort). In order to make the session as efficient as possible, we ask all the attendees to download, install and test the software and sample dataset on their laptops prior to the workshop.
Please read carefully the following instructions:
How to prepare your laptop for the training
Program: Day 1
8:30-9:00 | Onsite assistance in installing the material for the training session |
9:00-10:00 | Lecture: Brainstorm overview (Tadel) Software structure, typical data workflow |
10:00-10:45 | Practice Database explorer MRI volumes, surfaces and anatomical atlases |
10:45-11:00 | Coffee break |
11:00-12:30 | Practice Registration MEG/MRI Review of continuous MEG recordings Frequency filters Artifact detection Artifact correction with SSP |
12:30-13:30 | Lunch |
13:30-14:30 | Practice Correction of stimulation delays Averaging, exploring the evoked response Comparing conditions |
14:30-15:00 | Lecture: Source modeling (Baillet) |
15:00-15:30 | Coffee break |
15:30-17:30 | Practice Head modeling, cortical source reconstruction Regions of interest (ROIs) Group analysis |
Program: Day 2
9:00-9:30 | Lecture: Time-frequency (Baillet) |
9:30-10:15 | Practice Time-frequency decompositions |
10:15-10:45 | Lecture: Connectivity & resting-state (Baillet) |
10:45-11:00 | Coffee break |
11:00-12:30 | Practice Connectivity tools Scripting |
12:30-13:30 | Lunch |
13:30-17:30 | Analyze your own data Participants work in small groups (2-4 people) to analyze their own recordings |