FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data

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 experimenta...

Full description

Saved in:
Bibliographic Details
Published in:Computational Intelligence and Neuroscience 2011-01, Vol.2011 (2011), p.41-49
Main Authors: Schoffelen, Jan-Mathijs, Maris, Eric, Fries, Pascal, Oostenveld, Robert
Format: Article
Language:English
Subjects:
Algorithms
Batch processing
Cognition & reasoning
Data analysis
Design
Documentation
Electroencephalography
Electronic data processing
Electrophysiological Phenomena - physiology
Electrophysiology
Humans
Magnetoencephalography
Medical imaging
Methods
Neuroimaging
Numerical Analysis, Computer-Assisted
Open source software
Public software
Sensors
Software - trends
Technology application
User interface
User-Computer Interface
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1687-5265
1687-5273
DOI:10.1155/2011/156869