Mumbai, India June 28-30, 2023
Practical workshop on EEG/MEG analysis at IIT Bombay.
Three-day Brainstorm training, EEG- and MEG-oriented.
During two days participants will process an EEG/MEG provided dataset to explore Brainstorm and its features. On the last day, participants are encouraged to explore their own data with Brainstorm.
General information
| Where | IIT Bombay |
| When | Wednesday, June 28 - Friday 30, 2023 2023: 09:00-17:30 |
| 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: N |
| Slides | ?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 based on the Frontiers Research Topic From raw MEG/EEG to publication: a collection of articles processing the same multimodal dataset using different software environments. We will process together one subject of this dataset, 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 (previous section), proceed to download the dataset for the workshop.
- Download the tutorial dataset (5 GB):
- 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)
ds000117-iitbombay: Dataset used during the workshop session
Program
Day 1
| 09:00-09:45 | Biological origins of EEG/MEG signals (lecture) |
| 09:45-10:30 | Introduction to Brainstorm (lecture) |
| 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 Epoching Frequency filters Artifact detection Artifact correction with ICA and SSP Import epochs and sensor averages |
| 16:00-16:45 | Time-frequency analysis of of EEG/MEG signals (lecture) |
| 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 | Source estimation theory |
| 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 | Analysis Subject level Statistical testing Subject averages (sensors, time-frequency and sources) With-in subject differences |
| 16:00-17:15 | Analysis Group level 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 |
We provide a detailed step-by-step walkthrough of the data analyses performed at the training.
Bring your own data
The last session will be mostly dedicated to addressing participants' requests. We encourage you to prepare some EEG/MEG/ECoG/sEEG data you would be interested in processing with Brainstorm. If you are coming with colleagues, try to organize small groups with similar interests (1-4 people).
The list of file formats that can be read by Brainstorm is available on the Introduction page. Please contact us in advance if you are not sure your dataset can be imported in Brainstorm.
NOTE ON, IF THERE IS NOT DATA ON YOUR OWN, YOU CAN TRY WITH DATA AVAILABLE AT BRAINSTORM.