Montreal, Canada: June 8, 2023
Introduction to Brainstorm and hands-on workshop, part of GSAN workshops at McGill University.
In-person Brainstorm training session.
General information
Where | Stewart Building in room N2/2 |
When | Thursday, June 8 2023: 10:00-14:00 |
Instructors | Sylvain Baillet and Raymundo Cassani (Montreal Neurological Institute / McGill, Canada) |
Audience | Users interested in analyzing MEG/EEG/sEEG recordings using Brainstorm. Some experience with MEG/EEG is recommended. Teaching in English. Number of participants: 19 |
Slides | Poster | Slides | Walkthrough | Survey |
Requirements
In order to make the workshop as efficient as possible, we ask all the attendees to: download, install and test the software and download the workshop dataset on their laptops prior to the workshop.
If you encounter any trouble at setting Brainstorm please show up 30 min before the start of the workshop.
Installing Brainstorm
Please read carefully the following instructions on:
preparing your laptop for the training
Workshop dataset
The workshop dataset is a pre-processed version of the dataset in used in the Brainstorm tutorial on corticomuscular coherence. It consists of simultaneous MEG and EMG (left arm) recordings during prompted left arm movements. A full description of the dataset can be found here.
Once you have successfully installed and tested Brainstorm (previous section), proceed to download the dataset for the workshop.
- Download the tutorial dataset (430 MB):
- Unzip the downloaded file on your desktop
- Final check: you should have 3 folders on your desktop:
brainstorm3: Program folder, with the source code and the compiled executable
brainstorm_db: Brainstorm database (empty)
workshop_gsan: Dataset used during the workshop session
Program
10:00-10:30 | Introduction to Brainstorm (lecture) |
10:30-11:20 | Loading anatomy and recordings Set anatomy Review RAW recordings Import events |
11:20-12:30 | Pre-processing Frequency filters Artifact detection Artifact correction with SSP |
12:30-13:15 | Lunch |
13:15-14:00 | Analysis Coherence (sensor level) Head modelling, cortical source reconstruction Coherence (source level) |
We provide a detailed step-by-step walkthrough of the data analyses performed at the training.