Los Angeles, CA, USA: October 18th, 2023
Half-day workshop, as part of the CuttingGrden2023 conference.
This session will be an introduction to Brainstorm for EEG analysis. Participants will learn how to use Brainstorm and access its new tools on their personal laptops.
|Where||University of Southern California|
|When||Wednesday October 18th, 2023: 13:00-17:30|
|Instructor||Raymundo Cassani & Takfarinas Medani|
|Registration||Please visit this page.|
|Audience||Users interested in analyzing EEG/MEG recordings using Brainstorm.|
Teaching in English.
|Documents||Introduction slides | Walkthrough | Survey|
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.
Please read carefully the following instructions on:
preparing your laptop for the training
The workshop dataset is a pre-processed version of the dataset in used in the Brainstorm tutorial on median nerve stimulation. It consists of simultaneous EEG and MEG recordings during a median nerve stimulation experiment (right arm). A full description of the dataset can be found here.
Once you have successfully installed and tested Brainstorm (see previous section), proceed to download the dataset for the workshop.
- Download the tutorial dataset (360 MB):
Unzip the downloaded file on your desktop: it will create a new folder named workshop_lax
- Final check: after following the steps above, you should have 3 folders on your desktop:
brainstorm3: the software folder, containing the source code and the compiled executable
brainstorm_db: your Brainstorm database (which should be empty for now)
workshop_lax: Dataset used during the workshop session
|12:30-13:00||Onsite assistance in installing the material for the training session|
|13:00-13:30||Introduction to Brainstorm (lecture)|
|13:30-14:35||Loading anatomy and recordings |
Review RAW recordings
Artifact correction with SSP
|15:50-16:20||Analysis sensor level |
|16:20-16:55||Source estimation |
Forward model (aka Head model)
Noise covariance matrix
Source estimation (from EEG and MEG recordings)
|16:55-17:15||Analysis source level |
Cortex parcellations: Atlases and Scouts
We provide a detailed step-by-step walkthrough of the data analyses performed at the training.
For any technical problem, please contact Raymundo Cassani ( email@example.com )