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| Half-day workshop as part of the International Conference on Artificial Intelligence in Epilepsy and Neurological Disorders in Park City https://www.aiepilepsy-neuro.com/. This session will be an introduction to Brainstorm features for sEEG analysis. Participants will learn how to use Brainstorm and access its new tools on their personal laptops. |
Half-day workshop as part of the International Conference on Artificial Intelligence in Epilepsy and Neurological Disorders in Park City https://www.aiepilepsy-neuro.com/. This session will be an introduction to Brainstorm features for sEEG analysis. Participants will learn how to use Brainstorm and access its new tools on their personal laptops. |
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Park City, Utah, USA: April 1st, 2024
Half-day workshop as part of the International Conference on Artificial Intelligence in Epilepsy and Neurological Disorders in Park City https://www.aiepilepsy-neuro.com/. This session will be an introduction to Brainstorm features for sEEG analysis. Participants will learn how to use Brainstorm and access its new tools on their personal laptops.
General information
| Where | Arkansas Children's Hospital |
| When | January 24-26, 2023, 9:00-17:00 |
| 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. Number of participants: XX |
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
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.