Little Rock, Arkansas, USA: January 24-26, 2024

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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
WhenJanuary 24-26, 2024, 9:00-16:30
Registration Closed
OrganizersDiana Escalona-Vargas
(Arkansas Children's Hospital, USA)
InstructorsSylvain Baillet and Raymundo Cassani
(Montreal Neurological Institute / McGill, Canada)
AudienceUsers 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
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

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, first we will go through the main processing steps using data from one of the participants following the processing pipeline described in the article MEG/EEG Group Analysis With Brainstorm and the corresponding online tutorial. In a second part, we will use pre-processed data from two participants to show the steps for group analysis.

Once you have successfully installed and tested Brainstorm (see previous section), proceed to download the dataset for the workshop.

  1. Download the tutorial dataset: ds000117_S1R1.zip (820 MB):
    https://box.bic.mni.mcgill.ca/s/AFXWFz4mC7C2l6V

  2. Unzip the downloaded file on your desktop: it will create a new folder named ds000117_S1R1. It contains raw data for one participant, one run.

  3. Download the tutorial dataset: Arkansas_S1S2_R1R2.zip (920 MB):
    https://box.bic.mni.mcgill.ca/s/goTIK9p0PI98ZBD

  4. Unzip the downloaded file on your desktop: it will create a new folder named Arkansas_S1S2_R1R2. It contains pre-processed data for two participants, two runs ech.

  5. Final check: after following the steps above, you should have 4 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)

    • ds000117_S1R1: Dataset 1 used during the workshop session

    • Arkansas_S1S2_R1R2: Dataset 2 used during the workshop session

Program

Day 1

08:30-09:00 Onsite assistance in installing the material for the training session
09:00-09:30Biological origins of MEG and EEG (lecture S. Baillet)
09:30-10:00Introduction to Brainstorm (lecture R. Cassani)
10:30-11:20Loading anatomy and recordings

Brainstorm database

Set anatomy

Review RAW recordings

Events and event functions

11:20-12:00Pre-processing

Frequency filters

Artifact detection

Artifact correction with SSP

12:00-13:00Lunch
13:00-13:45Pre-processing (cont.)

Artifact correction with SSP

13:45-14:30Epoching and Importing

Import epochs and sensor averages

Visualization of epochs/trials

Average trials

14:30-15:00 Spectral and time-frequency analysis of MEG/EEG signals (lecture S. Baillet)
15:00-15:45Time-frequency analysis

Time-frequency representation of EEG/MEG signals

15:45-16:00Day 1 wrap-up

Day 2

08:30-09:00 Onsite assistance, materials, concepts, day 1 steps
09:00-09:45Source modelling (Lecture S. Baillet)
09:45-11:30Sources estimation

Forward model (aka Head model)

Noise covariance matrix

Source estimation

11:30-12:00Sources estimation

Cortex parcellations: Atlases and Scouts

12:00-13:00ACRI Visiting Scholars Research Seminar (Lecture S. Baillet)
Lunch will be provided
13:00-13:30Subject level statistics

Statistics, sensor space

Statistics, source space

13:30-14:00Sharing Protocols

Exporting protocols

Importing protocols

Load provided protocol: 2 participants, 2 runs each

14:00-15:30Subject level analysis

Subject averages (sensors, sources, and time-frequency)

Within subject differences

15:30-16:30Group level analysis

Preparing source subject-averages

Co-registration to default anatomy

Group averages

Day 3

09:00-09:30Connectivity & resting-state & evoked response (Lecture S. Baillet)
09:30-10:00Connectivity

Functional connectivity

10:00-11:00Beyond the GUI

Scripting

GitHub

11:00-12:00Participants working with their own data
12:00-13:00Lunch
12:00-15:30Participants working with their own data (cont.)
16:15-16:30Wrap-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.

We provide a detailed step-by-step walkthrough of the data analyses performed at the training.

Troubleshooting

For any technical problem, please contact Raymundo Cassani ( raymundo.cassani@mcgill.ca )

WorkshopArkansas2024 (last edited 2024-01-26 15:07:50 by RaymundoCassani)