Trois-Rivières, Québec, Canada May 7-8, 2024
Practical workshop on EEG/MEG analysis at UQTR
Two-day Brainstorm training, EEG-oriented.
During the two days, participants will process an EEG dataset to learn and explore Brainstorm features. In the second day, participants are encouraged to bring their own data, which we will review in small groups.
General information
| Where | UQRT |
| When | May 7 - 8, 2024: 09:00-17:30 |
| Registration | Registration form |
| Organizers | Mathieu Piché (Université du Québec à Trois-Rivières) |
| Instructors | Sylvain Baillet and Raymundo Cassani (Montreal Neurological Institute / McGill, Canada) |
| Audience | Users interested in analyzing EEG and iEEG recordings using Brainstorm. Some experience with EEG is recommended. Teaching in English. Number of participants: 30 |
| Slides | Intro slides | Lectures 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.
Installing Brainstorm
Please read carefully the following instructions on:
preparing your laptop for the training
Workshop dataset
TBD
Program
Day 1
| 08:30-09:00 | Onsite assistance in installing the material for the training session |
| 09:00-09:30 | Biological origins of EEG/MEG signals (lecture S. Baillet) |
| 09:30-10:00 | Introduction to Brainstorm (lecture R. Cassani) |
| 10:30-12:30 | Loading anatomy and recordings Set anatomy Review RAW recordings Manage events |
| 12:30-14:00 | Lunch |
| 14:00-16:00 | Pre-processing and poching Frequency filters Artifact detection Artifact correction with ICA and SSP Import epochs and sensor averages |
| 16:00-16:45 | Spectral and time-frequency analysis of EEG/MEG signals (lecture S. Baillet) |
| 16:45-17:15 | Time-frequency analysis Time-frequency representation of EEG/MEG signals |
| 17:15-17:30 | Wrap-up |
Day 2
| 09:00-09:45 | Foundations of source estimation (Lecture S. Baillet) |
| 09:45-12:30 | Sources estimation Forward model (aka Head model) Noise covariance matrix Source estimation (surfaces and volume source spaces) Cortex parcellations: Atlases and Scouts |
| 12:30-14:00 | Lunch |
| 14:00-16:00 | Subject level analysis Statistical testing Subject averages (sensors, time-frequency and sources) Within subject differences |
| 16:00-17:15 | Group level analysis Preparing sensor, time-frequency and sources data Head modelling, cortical source reconstruction |
| 17:15-17:30 | Wrap-up |
Day 3
| 09:00-10:00 | Beyond the GUI Report viewer Scripting Plugins GitHub |
| 09:00-12:30 | Participants working with their own data |
| 12:30-14:00 | Lunch |
| 14:00-17:15 | Participants working with their own data |
| 17:15-17:30 | Wrap-up |
Program
Day 1
| Onsite assistance in installing the material for the training session | |
| Biological origins of EEG/MEG signals (lecture S. Baillet) | |
| Introduction to Brainstorm (lecture R. Cassani) | |
| Loading anatomy and recordings | |
| Lunch | |
| Pre-processing and epoching | |
| Foundations of source estimation (Lecture S. Baillet) | |
| Sources estimation |
Day 2
| Spectral and time-frequency analysis of EEG/MEG signals (lecture S. Baillet) | |
| Time-frequency analysis | |
| Lunch | |
| Subject level analysis | |
| Group level analysis | |
| Participants working with their own data |
We provide a detailed step-by-step walkthrough of the data analyses performed during the training.
Bring your own data
The last part of the second day will be dedicated to addressing participants' requests. We encourage you to bring in your own sample of EEG iEEG data that you would be interested in processing with Brainstorm. We may ask that you pair with other attendees, for logistics purposes.
The file formats that can be read by Brainstorm are listed on the Introduction page. Please contact us in advance if you are not sure your dataset can be imported in Brainstorm. If you do not have data available, you may continue to use the tutorial dataset used in the present workshop.
Registration form
Please register in the form below.
To prep for the hands-on workshop, you will be receiving an email with specific instructions about a week before the event.
Note: The event is now at full capacity. As such the registration is closed. Thank you for your interest. Keep posted for new workshop announcements.
The workshop dataset is based on the Frontiers Research Topic From raw MEG/EEG to publication: a collection of articles reporting the analysis of the same multimodal dataset using different software environments. During this workshop, we will go through the main processing steps using data from of the participants, following the processing pipeline described in the article MEG/EEG Group Analysis With Brainstorm and the corresponding online tutorial.
Once you have successfully installed and tested Brainstorm (see previous section), proceed to download the dataset for the workshop.
https://box.bic.mni.mcgill.ca/s/iNxszVo7q8rSXwB
brainstorm3: the software folder, containing the source code and the compiled executable
brainstorm_db: your Brainstorm database (which should be empty for now)
ds000117-iitbombay: Dataset used during the workshop session