Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2011:2011:156869.
doi: 10.1155/2011/156869. Epub 2010 Dec 23.

FieldTrip: Open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data

Robert Oostenveld  1 , Pascal Fries, Eric Maris, Jan-Mathijs Schoffelen
Affiliations

FieldTrip: Open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data

Robert Oostenveld et al. Comput Intell Neurosci. 2011.

Abstract

This paper describes FieldTrip, an open source software package that we developed for the analysis of MEG, EEG, and other electrophysiological data. The software is implemented as a MATLAB toolbox and includes a complete set of consistent and user-friendly high-level functions that allow experimental neuroscientists to analyze experimental data. It includes algorithms for simple and advanced analysis, such as time-frequency analysis using multitapers, source reconstruction using dipoles, distributed sources and beamformers, connectivity analysis, and nonparametric statistical permutation tests at the channel and source level. The implementation as toolbox allows the user to perform elaborate and structured analyses of large data sets using the MATLAB command line and batch scripting. Furthermore, users and developers can easily extend the functionality and implement new algorithms. The modular design facilitates the reuse in other software packages.

PubMed Disclaimer

Figures

Figure 1
Figure 1
The structure of the toolbox.
Figure 2
Figure 2
Data representation examples. (a) Epoched time domain, sensor-level data. (b) Time-frequency representation of sensor-level data.
Figure 3
Figure 3
Example analysis pipeline.
Figure 4
Figure 4
Example analysis script.
Figure 5
Figure 5
Visualization of data with the ft_databrowser function. (a) Display of a set of sensors in the “butterfly” mode, showing the possibility to select segments of interest, for example, to identify artifacts (pink box). (b) Display of a set of sensors in the “vertical” mode.
Figure 6
Figure 6
Visualization of source-reconstructed data. (a) Three-dimensional orthographic rendering of corticomuscular coherence with opacity mapping. (b) Surface rendering of statistically thresholded corticomuscular coherence after Z-transformation.
Figure 7
Figure 7
Visualization of multidimensional data. (a) Topographical representation of a specific temporal component of the ERF. (b) Single sensor display of an ERF. (c) Topographical display of sensor-level ERFs in three experimental conditions. (d) Topographical display of sensor-level TRFs.
See this image and copyright information in PMC

References

    1. Delorme A, Makeig S. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. Journal of Neuroscience Methods. 2004;134(1):9–21. - PubMed
    1. Scherg M. Advances in Audiology. Auditory Evoked Magnetic Fields and Electric Potentials. Vol. 6. Basel, Switzerland: Karger; 1990. Fundamentals of dipole source potential analysis; pp. 40–69.
    1. Hämäläinen MS, Ilmoniemi RJ. Interpreting magnetic fields of the brain: minimum norm estimates. Medical and Biological Engineering and Computing. 1994;32(1):35–42. - PubMed
    1. Van Veen BD, Van Drongelen W, Yuchtman M, Suzuki A. Localization of brain electrical activity via linearly constrained minimum variance spatial filtering. IEEE Transactions on Biomedical Engineering. 1997;44(9):867–880. - PubMed
    1. Gross J, Kujala J, Hämäläinen M, Timmermann L, Schnitzler A, Salmelin R. Dynamic imaging of coherent sources: studying neural interactions in the human brain. Proceedings of the National Academy of Sciences of the United States of America. 2001;98(2):694–699. - PMC - PubMed

Publication types

MeSH terms

LinkOut - more resources