Program
PracticalMEEG
Context
Choosing the right software package for an MEG or EEG analysis is not trivial. A proper balance must be found between efficiency, ease-of-use and the specific analysis methods that one needs to use. Numerous open-source software packages allow carrying all classical analyses within a single environment. However, each package has its own area of expertise (e.g. source-space analysis, time-frequency analysis, multivariate decoding, multilevel statistics and so forth…) and a given study may require using several specific features available in different software. It is therefore often the case that complex pipelines need to be tailored to allow different parts of the analysis to be carried out in different software environments.
Purpose
PracticalMEEG aims at providing an intensive three–day training to MEG and EEG analysts. It will provide its attendees with the ability to create a full analysis pipeline with exemplar (or their own) data in one or several of four leading software dedicated to MEG and EEG analysis (Brainstorm, FieldTrip, EEGLAB, and MNE-python). On demand, we hope to provide attendees with the opportunity to bridge across toolboxes and weave their own complex multi-software pipeline.
Prerequisite
Students with any level of programming proficiency are welcome.
MATERIAL
- Install the toolbox(es) you want to use during the workshop.
Brainstorm
FieldTrip
MNE-python
EEGLAB
- Download the tutorial dataset (1.1 Gb). This is a customized version of the “Multisubject, multimodal face processing dataset” of Wakeman and Henson, including only one subject, one run, and with some extra enhancements.
Speakers and Instructors
Maximilien Chaumon
ICM / CENIR (France)
Organizers
Maximilien Chaumon
ICM / CENIR (France)
Clément François
LPL, Aix-Marseille University (France)
Deirdre Bolger
Aix-Marseille University (France)
Laure Spieser
Aix-Marseille University (France)
Anaïs Llorens
Saint Anne, Paris (France)
Estelle Hervé
Aix-Marseille University (France)