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.
10 March, 2022
FieldTrip version 20220310 has been released. It has improvements to ft_sourceplot which now by default displays the data with the upside up, avoiding Mr Potatohead situations. It also shows Left and Right in the images. Another minor improvement is to edf2fieldtrip, which now also returns an event structure. See GitHub for the detailed list of updates.
Recent citations
These are recent citations on Pubmed, you can find a more complete list on Google Scholar.
Spectral Distribution Dynamics across Different Attentional Priority States
Pietrelli M, Samaha J, Postle BR The Journal of Neuroscience, 2022 May 11; 42(19):4026-4041.
Neocortical localization and thalamocortical modulation of neuronal hyperexcitability contribute to Fragile X Syndrome
Pedapati EV, Schmitt LM, Ethridge LE, Miyakoshi M, Sweeney JA, Liu R, Smith E, Shaffer RC, Dominick KC, Gilbert DL, Wu SW, Horn PS, Binder DK, Lamy M, Axford M, Erickson CA Communications Biology, 2022 May 11; 5:442.
The interaction between endogenous GABA, functional connectivity, and behavioral flexibility is critically altered with advanced age
Heise KF, Rueda-Delgado L, Chalavi S, King BR, Monteiro TS, Edden RA, Mantini D, Swinnen SP Communications Biology, 2022 May 6; 5:426.
Developmental Differences in Neuromagnetic Cortical Activation and Phase Synchrony Elicited by Scenes with Faces during Movie Watching
Kozhemiako N, Nunes AS, Moiseev A, Márquez-GarcĂa AV, Cheung TP, Ribary U, Doesburg SM eNeuro, 2022 May 5; 9(3):ENEURO.0494-21.2022.
Spectral Fingerprints of Cortical Neuromodulation
Radetz A, Siegel M The Journal of Neuroscience, 2022 May 4; 42(18):3836-3846.
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 2Ă—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.
