Welcome to the FieldTrip website

FieldTrip is the MATLAB software toolbox for MEG, EEG and iEEG analysis, which is released free of charge as open source software under the GNU general public license.

Please cite the FieldTrip reference paper when you have used FieldTrip in your study.

Robert Oostenveld, Pascal Fries, Eric Maris, and Jan-Mathijs Schoffelen. FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data. Computational Intelligence and Neuroscience, vol. 2011, Article ID 156869, 9 pages, 2011. doi:10.1155/2011/156869.

To get started, head over to the getting started documentation and the tutorials.

Latest release

The latest code developments can be tracked in detail on GitHub.

20 October, 2021

FieldTrip version 20211020 has been release with several updates, including streamlining the implementation of Denoising Source Separation (DSS) for ft_componentanalysis, support in [ft_redefinetrial]((https://www.fieldtriptoolbox.org/reference/ft_redefinetrial/) for stitching pseudo-continuous segmenteded data back together, improvements for importing BIDS data and ft_trialfun_bids, improved nan handling, filling bad data with zero’s as suggested by Sarah Jessen, and more. See GitHub for the detailed list of updates.

News and announcements

You can also follow us on Twitter.

20 October, 2021

The example page on determining the number of subjects to obtain a certain statistical power when using cluster-based permutation tests has been updated by Dr. Cheng Wang with an explanation how to use it for 2×N interaction effects.

05 October, 2021

This week CuttingEEG2021 is taking place as a (in part) real life event, in Aix-en-Provence. Robert and Jan-Mathijs presented a hands-on training to spectrally analyse EEG data on short and long time scales. To this end, we created a brand new tutorial that also highlights the relatively new feature to represent trls and trialinfo fields as tables. The latter feature relies on data being represented in the BIDS-format. Feel free to check out this new tutorial about time-frequency analysis on short and long timescales.

9 July 2021

Artinis, a NIRS company located close to Nijmegen and involved as technical partner in quite a few projects with the Donders Institute and the Radboud University, is writing a series of blog posts on using various analysis toolboxes for fNIRS data. This week they released a blog post on using FieldTrip for the analysis of fNIRS data appeared. Please check it out if you are interested. You can also check out other documentation here on this website that is tagged with NIRS.

30 April, 2021

From 19-23 April 2021 we hosted the Donders MEG/EEG Tool-kit. Although we would have loved to physically host the toolkit in Nijmegen, the ongoing COVID situation still restricts traveling and large meetings. We had a great week online with over 40 participants and 20 tutors, spanning 10 time zones. Thanks to all participants and tutors for the friendly atmosphere and the constructive interactions!

29 March, 2021

It is recommended and sometimes even required to provide a sample size estimation prior to starting your data acquisition. Dr. Cheng Wang has contributed a very nice example page that demonstrates how to determine the number of subjects to obtain a certain statistical power, also when using cluster-based permutation tests.

If you also want to contribute an example page, please see here.

18 March, 2021

From 19-23 April 2021 we will again host the Donders MEG/EEG Tool-kit. Although we would have loved to welcome you in-person in Nijmegen, the ongoing COVID situation restricts traveling and large meetings. However, last year we experienced that in an online format the toolkit course is also really fun, effective and rewarding! Preregistration is now open, please see here for further details.

18 December, 2020

Yesterday Mats van Es defended his PhD thesis “On the role of oscillatory synchrony in neural processing” and was awarded the PhD title. Congratulations!

Mats not only used FieldTrip in a number of interesting MEG studies, but also contributed as lecturer in the MEG toolkit courses. Furthermore, he recently implemented the reproducescript functionality (which will be published soon). He continues his research at the MEG center in Oxford.