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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	Park City
When	April 1st, 2024, 9:00-17:00
Organizers	IA EPILEPSY 2024
Instructors	John Mosher, Takfarinas Medani and TBA (UTH/USC, USA)
Audience	Users interested in analyzing sEEG/ECOG recordings using Brainstorm. Some experience with signal processig 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

April 1st

08:30-09:00	Registration
09:00-12:00	Lectures
12:30-13:00	Onsite assistance in installing the material for the training session
13:00-13:30	Lecture: Brainstorm overview Software structure, typical data workflow Presentation of the example dataset (BIDS-iEEG)
13:30-14:30	Anatomy Database explorer MRI volumes, surfaces Anatomical parcellations Coregistration of pre- and post-implantation images
14:30-15:30	SEEG recordings Reviewing continuous SEEG recordings Montages and management of event markers Marking SEEG contacts on post-implantation image Anatomical labelling of SEEG contacts
15:30-16:30	Advanced topics - Based on participants' requests Time-frequency analysis: Identification of ictal HFO frequency bands Epileptogenicity maps: Localization of the seizure onset zone and propagation pathways FEM demo: MRI segmentation, tissue anisotropy with DTI, FEM forward modeling Open discussion with Bainstorm users

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