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FieldTrip is a Matlab software toolbox for MEG and EEG analysis that is being developed at the Donders Institute for Brain, Cognition and Behaviour at the Radboud University Nijmegen, the Netherlands.

The FieldTrip toolbox includes algorithms for simple and advanced analysis of MEG and EEG data, such as time-frequency analysis, source reconstruction using dipoles, distributed sources and beamformers and non-parametric statistical testing.

It supports the data formats of all major MEG systems (CTF, Neuromag, BTi) and of the most popular EEG systems, and new formats can be added easily.

FieldTrip contains high-level functions that you can use to construct your own analysis protocols in Matlab. Furthermore, it easily allows developers to incorporate low-level algorithms for new EEG/MEG analysis methods.

The FieldTrip homepage can be found at http://fieldtrip.fcdonders.nl

The FieldTrip email discussion list can be found at https://listserv.surfnet.nl/archives/fieldtrip.html

A read-only version of the SVN repository is available on http://code.google.com/p/fieldtrip, which is synchronized every evening with the in-house development version. You can use it to keep up to date with the latest updates of the source code, to revert to older versions, and to track all individual changes to the files.

Application Example: Frequency and time-frequency analysis

Frequency analysis consists of preprocessing, performing a Fourier or wavelet decomposition of the data, optionally averaging over subjects and/or testing for significant effects and finally plotting the result.

Other Examples

• Align EEG electrode positions to BEM headmodel

2009/03/03 21:52

• Analysing sources of evoked fields using an LCMV-beamformer

2009/02/26 22:06

• Apply clusterrandanalysis on TFRs of power that were computed with BESA

2009/03/03 21:52

• Common filters in beamforming

2009/03/05 11:07
Saskia Haegens

• Compute forward simulated data and apply a beamformer scan

2009/03/03 21:52

• Compute forward simulated data and apply a dipole fit

2009/03/03 21:52

• Correlation analysis in fMRI data

2009/05/20 14:57

• Create BEM headmodel for EEG

2009/05/20 14:57

• Create MNI-aligned grids in individual head-space

2009/07/31 11:49

• Cross Frequency analysis

2009/03/03 21:52

• Detect the muscle activity in an EMG channel and use that as trial definition

2009/03/03 21:52

• Determine the filter characteristics

2009/03/03 21:53

• Effects of tapering for power estimates

2009/08/04 22:43

• Example real-time average

2009/04/21 12:23

• Example real-time classification

2009/04/21 12:23

• Example real-time power estimate

2009/04/21 12:23

• Example real-time selective average

2009/04/21 12:23

• Example real-time signal viewer

2009/04/21 12:05

• Fit a dipole to the tactile ERF after mechanical stimulation

2009/05/20 14:57

• Fixing a missing sensor

2010/01/04 18:18

• Generate simulated data

2009/03/03 21:58

• Getting started with reading raw EEG or MEG data

2009/03/03 21:53

• Getting started with real-time analysis for BCI/neurofeedback

2009/04/20 23:01
Robert Oostenveld

• Make leadfields using different headmodels

2009/05/20 14:57

• Making your own trialfun for conditional trial definition

2009/03/03 21:58

• Measuring the timing delay and jitter for a real-time application

2009/12/02 15:34

• Overview of all example Matlab scripts

2009/10/29 16:21

• Part of function write_data, case ctf_meg4

2009/03/03 21:58

• Re-referencing and EOG channels preparation

2009/07/29 19:02

• Realtime neurofeedback application based on Hilbert phase estimation

2009/10/22 09:48

• Shift electrode positions into the same coordinate system as the corresponding MRI for using individual headmodels

2009/03/03 21:58

• Source statistics

2009/03/05 16:56
Saskia Haegens

• Use independent component analysis (ICA) to remove ECG artifacts

2009/03/03 21:58

• Use your own forward leadfield model in an inverse beamformer computation

2009/03/03 21:58