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InteractiveResource . 2026
License: CC BY SA
Data sources: ZENODO
ZENODO
InteractiveResource . 2026
License: CC BY SA
Data sources: Datacite
ZENODO
InteractiveResource . 2026
License: CC BY SA
Data sources: Datacite
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PracticalMEEG2025: FieldTrip hands-on tutorial

Authors: Oostenveld, Robert; Bai, Songyun;

PracticalMEEG2025: FieldTrip hands-on tutorial

Abstract

In this repository we deposited the training material for the FieldTrip track at the Practical MEEG 2025 training workshop, which was organized by CuttingEEG and that took place at Le Cube on the Aix-Marseille University – Schuman Campus on Oct 27-31, 2025. The PracticalMEEG workshop in 2025 consisted of 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. The goal was for participants to 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 packages The FieldTrip hands-on tutorials were presented and tutored by Robert Oostenveld and Songyun Bai from the Donders Institute for Brain, Cognition and Behaviour in Nijmegen, the Netherlands. Furthermore, we are glad with the trainEErs that helped with the tutorials: Cristina Gil Ávila (Univ. Madrid, Spain), Paolo Canal (IUSS Pavia, Italy), and Judith Nicolas (CRNL, France). The best way to follow these tutorials is to go to the FieldTrip webpage that hosts the original material, which also contain pointers to download the data that is used in the training.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average