practicalmeeg.jpg

Paris, France: December 3-5, 2019

Practical workshop on EEG/MEG analysis at ICM, in parallel with FieldTrip and MNE-Python. Program available on the workshop website: http://practicalmeeg2019.org/

The hands-on part of this workshop is based on the Frontiers Research Topic From raw MEG/EEG to publication: a collection of articles processing the same multimodal dataset using different software environments. We will process together one subject of this dataset, following the processing pipeline described in the article MEG/EEG Group Analysis With Brainstorm.

General information

WhereICM
WhenTuesday Dec 3rd - Thursday Dec 5, 2019: 8:30-17:30
InstructorsFrancois Tadel (Grenoble Institute of Neuroscience)
Anne-Sophie Dubarry (Aix-Marseille University)
Aurélien Weiss (ENS)
AudienceUsers interested in analyzing sEEG/EEG/ECoG/MEG recordings using Brainstorm.
Teaching in English.
SlidesIntroduction

Requirements

The participants are required to bring a laptop (an external mouse will add to your comfort). In order to make the session as efficient as possible, we ask all the attendees to download, install and test the software and sample dataset on their laptops prior to the workshop.

Please read carefully the following instructions:
How to prepare your laptop for the training

Program: Day 1

8:30-9:00Onsite assistance in installing the material for the training session
9:00-10:00Lecture: Brainstorm overview (Tadel)

Software structure, typical data workflow

10:00-10:45Practice

Database explorer

MRI volumes, surfaces and anatomical atlases

10:45-11:00Coffee break
11:00-12:30Practice

Registration EEG/MRI

Review of continuous EEG recordings

Frequency filters

Montages and bad channels

12:30-13:30Lunch
13:30-15:00Practice

Artifact detection

Artifact correction with SSP

Averaging

15:00-15:30Coffee break
15:30-16:00Lecture: Source modeling (Baillet)
16:00-17:30Practice

Head modeling, cortical source reconstruction

Regions of interest (ROIs)

Program: Day 2

9:00-9:30Lecture: Time-frequency (Baillet)
9:30-10:15Practice

Time-frequency decompositions

10:15-10:45Lecture: Connectivity & resting-state (Baillet)
10:45-11:00Coffee break
11:00-12:30Practice

Connectivity tools

Statistics

Scripting

12:30-13:30Lunch
13:30-17:30Analyze your own data

Participants work in small groups (1-4 people) to analyze their own recordings

Program: Day 3

9:00-14:00Analyze your own data

(continued)

14:00-16:00What did you find?

Participants present analysis results and impressions with the rest of the group

WorkshopParis2019 (last edited 2019-11-04 11:43:15 by FrancoisTadel)