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.
01 December, 2025
FieldTrip version 20251201 has been released. It contains several small improvements with respect to the last posted release (20250928).
Some highlights are:
- update of the implementation of SSS, now also allowing for movement correction in ft_denoise_sss.
- improved support for the use of custom preprocessing functions in ft_preprocessing.
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.
Investigating Generalizability of Top–Down Neural Representation of Meter in Infancy
Flaten E, Trainor L Journal of Cognitive Neuroscience, 2025 Dec 1; 37(12):2652-2675.
Brain power comparison between microgravity and head-down tilt bed rest: an electroencephalography approach
Sevilla-GarcĂa M, Quivira-Lopesino A, Cuesta P, Pusil S, Bruña R, Fiedler P, Maestu F, Cebolla AM, Cheron G, Brauns K, Stahn AC, Funke ME Scientific Reports, 2025 Nov 27; 15:42314.
Classifying schizophrenia subtypes via resting-state EEG complexity networks
Zou J, Qi H, Yang C, Fan C, Dong Y Scientific Reports, 2025 Nov 25; 15:41861.
Collaborative rule learning promotes interbrain information alignment
Moerel D, Grootswagers T, Quek GL, Smit S, Varlet M PLOS Biology, 2025 Nov 25; 23(11):e3003479.
Episodic memory involves transient and sparse connectivity aligned to both internal and external events
Dede AJ, Cross ZR, Gray SM, Kelly JP, Yin Q, Vahidi P, Asano E, Schuele SU, Rosenow JM, Wu JY, Lam SK, Raskin JS, Lin JJ, Kim McManus O, Sattar S, Shaikhouni A, King-Stephens D, Weber PB, Laxer KD, Brunner P, Roland JL, Saez I, Girgis F, Knight RT, Ofen N, Johnson EL PLOS Biology, 2025 Nov 25; 23(11):e3003481.
News and announcements
You can also follow us on Mastodon and BlueSky.
10 October 2025
Robert and JM participated in a very inspiring and successful workshop in Marseille, celebrating the opening of the Marseille OPM lab, and the retirement of their 4D Neuroimaging SQUID system. Two days filled with the latest news from OPM-land, with inspiring and constructive discussions, and a collaborative mindset. Thanks and congratulations to our friends in Marseille, and good luck with your great scientific and clinical contributions to the field!
25 June 2025
Robert and Mikkel returned from the African Brain Data Network EEG workshop in Nigeria. It was a nice and intense week with lectures, experimental design, practical experience recording with various EEG systems, and hands-on EEG data analysis sessions. The interaction with the participants was great, and we look forward to see the research that will result from this. All course material, including slides and video recordings of the lectures are shared on the workshop page.
28 May 2025
During the MEG/EEG toolkit last week we noticed that some participants had issues with their MathWorks accounts to download and install the latest MATLAB version. We have now heard that MathWorks has been affected by a ransomware attack. Although our (and hopefully your) local MATLAB installations continue working just fine, it inconvenient as we are busy with preparing for the EEG workshop in Nigeria. For that workshop we want to use MATLAB online, i.e., running it all in the cloud, which would be the first time doing it like this. Let’s hope that MathWorks does not suffer too much and that they can get their systems up and running again.
7 May 2025
Together with the developers of other MEG and EEG analysis software (a.o. MNE-Python, SPM, EEGLAB) we wrote the paper Cycling on the Freeway: The perilous state of open-source neuroscience software in which we argue that the existing ecosystem of neuroscientific open-source software is brittle, and discuss why and how the neuroscience community needs to come together to ensure a healthy software ecosystem to the benefit of all. Please have a look and think about how you can contribute to the long-term continuation of projects like FieldTrip.
25 March 2025
From May 19-23 2025 we will host our annual MEG/EEG Tool-kit course in Nijmegen. During this 5-day toolkit course we will teach you advanced MEG and EEG data analysis skills. Pre-processing, frequency analysis, source reconstruction, analysis methods such as RSA and TRFs, and various statistical methods will be covered. Furthermore, we will give special attention to new opportunities in experimental design and measurements with Optically Pumped Magnetometer (OPM) systems and mobile EEG.
Preregistration is now open, see here.
25 March 2025
We have added three example scripts to the website that demonstrate how to compute EEG forward solutions. They show the similarities and differences between an analytic concentric spheres solution, a BEM solution, and a FEM solution. Furthermore, they show how to deal with geometrical units (millimeter, centimeter, meter) to get correct SI units in the forward and inverse solution.
- Compute EEG leadfields using a concentric spheres headmodel
- Compute EEG leadfields using a BEM headmodel
- Compute EEG leadfields using a FEM headmodel
If you have feedback on these examples, please post an issue on GitHub.
Note that there are also more elaborate tutorials using BEM and FEM for source reconstruction of EEG data.
23 November 2024
The CuttingEEG X conference at the Donders in Nijmegen and online was a great success with lots of positive feedback and interest from our 336 online + 42 onsite participants. All talks and discussions were not only live-streamed, but also recorded and are available on the CuttingEEG YouTube channel.



