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. FieldTrip is developed by members and collaborators of the Donders Institute for Brain, Cognition and Behaviour at Radboud University, Nijmegen, the Netherlands.

Please cite the 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, 2011; 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.

09 August, 2022

FieldTrip version 20220809 has been released. This release includes a critical fix for the drop-in replacement of the signal processing toolbox’s resample.m function, which got the scaling wrong initially.

Commits

  • a382a9d Merge commit ‘2f387ff’ into release
  • 2f387ff FIX - fixed bug related to amplitude scaling using the drop in upfirdn function (#2087)

Recent citations

These are recent citations on Pubmed, you can find a more complete list on Google Scholar.

Information flows from hippocampus to auditory cortex during replay of verbal working memory items

Dimakopoulos V, Mégevand P, Stieglitz LH, Imbach L, Sarnthein J eLife, 2022 Aug 12; 11:e78677.

Neural correlates of thematic role assignment for passives in Standard Indonesian

Jap BA, Hsu YY, Politzer-Ahles S PLoS ONE, 2022 Aug 9; 17(8):e0272207.

Language specificity in cortical tracking of speech rhythm at the mora, syllable, and foot levels

Peter V, van Ommen S, Kalashnikova M, Mazuka R, Nazzi T, Burnham D Scientific Reports, 2022 Aug 5; 12:13477.

Differential Auditory and Visual Phase-Locking Are Observed during Audio-Visual Benefit and Silent Lip-Reading for Speech Perception

Aller M, Økland HS, MacGregor LJ, Blank H, Davis MH The Journal of Neuroscience, 2022 Aug 3; 42(31):6108-6120.

A hierarchy of linguistic predictions during natural language comprehension

Heilbron M, Armeni K, Schoffelen JM, Hagoort P, de Lange FP Proceedings of the National Academy of Sciences of the United States of America, 2022 Aug 3; 119(32):e2201968119.

News and announcements

You can also follow us on Twitter.

07 May, 2022

In a few days, and after an absence of 2 years, we will again host our Donders advanced MEG/EEG-toolkit on-site. We are excited to finally be able to teach in real life again. With the help of our youngest future colleague all workshop PCs have been prepared and tested.

15 April, 2022

In the past we used an FTP server to distribute files, but as of April 2022 we switched to a new download server that can be found on https://download.fieldtriptoolbox.org. It supports WebDAV, which means that you can download individual files using your web browser. You can also download a complete directory (with subdirectories) at once using a specialized WebDAV client such as CyberDuck or FileZilla. On Windows and macOS you can even mount the WebDAV server as a “network file system” and treat it as a network drive.

10 March, 2022

From May 9-13 we will host the MEG/EEG FieldTrip data analysis toolkit at the Donders Centre for Cognitive Neuroimaging in Nijmegen. The toolkit course is aimed at PhD and postdoctoral researchers that already have some experience with EEG and/or MEG data acquisition (either a pilot or a full study) and that have a good understanding of their own experimental design. Furthermore, we expect that you know the basics of MATLAB and that you already have some experience with MEG/EEG preprocessing and analysis. We will teach you advanced data analysis methods and cover preprocessing, frequency analysis, source reconstruction, connectivity and various statistical methods. Furthermore, we will give attention to good practices for reproducible research, Open Data and Open Science.

We hope and expect that we will be able to teach this toolkit on site.

See the toolkit2022 page for further details.

27 January, 2022

For a long time we used Google Analytics to collect website usage statistics. This allowed us to see how many visitors we have, which is important to convince funding agencies and directors of FieldTrip’s impact, and which pages were the most visited, which helps to guide our efforts in improving documentation.

In the summer of 2020 we introduced a “cookie banner” with the opportunity to disable third-party cookies. The number of unique visitors that was counted subsequently dropped 85%, from approximately 3500 to 500 per week (with a short glitch in 2021 due to a bug). This indicates that you don’t like cookies; which we understand.

For website usage statistics we have now implemented Plausible, an open source web analytics solution without tracking cookies that is fully compliant with GDPR, CCPA and PECR. It only stores that you have visited, not who you are, and it does not share any information across websites to build user profiles. Plausible allows us to get the minimal information that we need, but none of your personal information.

Furthermore, we have updated the search functionality. If you are fine with third-party cookies, it will continue to use Google Search. If you reject third-party cookies, it will now use DuckDuckGo, which does not track you.

19 December, 2021

Recently we have had some issues with the automatic updating of the website, most notably resulting in the download form being broken. It is now hopefully solved with this fix.

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.