Little Rock, Arkansas, USA: January 24-26, 2024
Three-day Brainstorm training, MEG- and EEG-oriented.
During the first two days, participants will process an EEG/MEG dataset to learn and explore Brainstorm features. On the last day, participants are encouraged to bring their own data, which we will review in small groups.
General information
| Where | Arkansas Children's Hospital |
| When | January 24-26, 2024, 9:00-17:00 |
| Registration | Please visit this page. |
| Organizers | Diana Escalona-Vargas (Arkansas Children's Hospital, USA) |
| Instructors | Sylvain Baillet and Raymundo Cassani (Montreal Neurological Institute / McGill, Canada) |
| Audience | Users interested in analyzing MEG/EEG recordings using Brainstorm. Some experience with MEG/EEG is recommended. Teaching in English. Participants are required to have an academic affiliation |
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 |
| 09:00-10:00 | Introduction to Brainstorm (lecture R. Cassani) |
| 10:00-11:00 | Loading anatomy and recordings Brainstorm database Set anatomy Review RAW recordings Events |
| 11:00-12:00 | Pre-processing Frequency filters Artifact detection Artifact correction with SSP |
| 12:00-13:00 | Lunch |
| 13:00-14:30 | Events and epoching Events functions Import epochs and sensor averages |
| 14:30-15:00 | Spectral and time-frequency analysis of MEG/EEG signals (lecture S. Baillet) |
| 15:00-16:30 | Time-frequency analysis Time-frequency representation of EEG/MEG signals |
Day 2
| 08:30-09:00 | Source modelling (Lecture S. Baillet) |
| 09:00-10:45 | Sources estimation Forward model (aka Head model) Noise covariance matrix Source estimation (surfaces and volume source spaces) Cortex parcellations: Atlases and Scouts |
| 10:45-12:00 | Subject level statistics Statistics, sensor space Statistics, source space |
| 12:00-13:00 | ACRI Visiting Scholars Research Seminar (Lecture S. Baillet) Lunch will be provided |
| 13:00-14:30 | Subject level analysis Subject averages (sensors, time-frequency and sources) Within subject differences |
| 14:30-16:00 | Group level analysis Preparing sensor, time-frequency and sources data |
Day 3
| 09:00-09:30 | Connectivity & resting-state & evoked response (Lecture S. Baillet) |
| 09:30-10:00 | Connectivity Functional connectivity |
| 10:00-11:00 | Beyond the GUI Scripting GitHub |
| 11:00-12:00 | Participants working with their own data |
| 12:00-13:00 | Lunch |
| 12:00-15:30 | Participants working with their own data |
| 15:30-16:00 | Wrap-up |
Bring your own data
The last session will be mostly dedicated to addressing participants' requests. We encourage you to bring in your own sample of MEG/EEG 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.
Troubleshooting
For any technical problem, please contact Raymundo Cassani ( raymundo.cassani@mcgill.ca )
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/XXXXX
Unzip the downloaded file on your desktop: it will create a new folder named workshop_XXXX
brainstorm3: the software folder, containing the source code and the compiled executable
brainstorm_db: your Brainstorm database (which should be empty for now)
workshop_XXXX: Dataset used during the workshop session