# PracticalMEEG - Aix-en-Provence 2025
  
PracticalMEEG offers an intensive three and a half day training program featuring both 
plenary presentations of the theoretical concepts and immersive hands-on tutorials 
for four open-source packages: FieldTrip, EEGLAB, MNE-Python, and Brainstorm. 
Attendees will develop practical skills to create a complete MEEG analysis pipeline 
from preprocessing and source level analysis to group-level statistics, based 
on exemplar or personal dataset using one or more of the four leading software

More details can be found on http://www.fieldtriptoolbox.org/workshop/practicalmeeg2025/.

The data used during the PracticalMEEG hands-on sessions is part of a dataset recorded by Rik
Henson and colleagues. We will mainly work with the MEG data of a single representative
subject; for the group statistics we will work with source-level processed data from all
subjects.

Here we share two pruned versions of the ds000117 dataset, only including the files that
are needed for the workshop. The size of the total dataset is 84 GB, the pruned version is
about 15 GB. The pruned version contains the raw data for one subject, plus the
derivatives, i.e. the results of the computations done during the hands-on session for
that subject. Furthermore, the derivatives include the parcellated source-level
timecoursed for all subjects that we will use in the group-level statistical analysis.

There is one pruned version for subject 1, and another one for subject 15. Subject 1 is
also used by the other toolboxes, subject 15 is the representative subject that was used
in the original SPM documentation and for the figures in the FieldTrip hands-on for
practicalmeeg2025.

!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
!!! YOU ONLY NEED TO DOWNLOAD ONE OF THEM !!!
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

The code, raw data and derived data should be organized on your computer as follows:

practicalmeeg2025/
|-- code
|   |-- datainfo_subject.m
|   `-- atlas_subparc374_8k.mat
|-- ds000117-pruned
|   |-- dataset_description.json
|   |-- participants.tsv
|   |-- sub-01
|   |-- sub-02
|   `-- ...
`-- derivatives
    |-- raw2erp
    |-- sensoranalysis
    |-- anatomy
    |-- sourceanalysis
    `-- groupanalysis