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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...

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Detalles Bibliográficos
Autores principales: Oostenveld, Robert, Fries, Pascal, Maris, Eric, Schoffelen, Jan-Mathijs
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3021840/
https://www.ncbi.nlm.nih.gov/pubmed/21253357
http://dx.doi.org/10.1155/2011/156869
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author Oostenveld, Robert
Fries, Pascal
Maris, Eric
Schoffelen, Jan-Mathijs
author_facet Oostenveld, Robert
Fries, Pascal
Maris, Eric
Schoffelen, Jan-Mathijs
author_sort Oostenveld, Robert
collection PubMed
description 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.
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spelling pubmed-30218402011-01-20 FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data Oostenveld, Robert Fries, Pascal Maris, Eric Schoffelen, Jan-Mathijs Comput Intell Neurosci Research Article 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. Hindawi Publishing Corporation 2011 2010-12-23 /pmc/articles/PMC3021840/ /pubmed/21253357 http://dx.doi.org/10.1155/2011/156869 Text en Copyright © 2011 Robert Oostenveld et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Oostenveld, Robert
Fries, Pascal
Maris, Eric
Schoffelen, Jan-Mathijs
FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data
title FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data
title_full FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data
title_fullStr FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data
title_full_unstemmed FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data
title_short FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data
title_sort fieldtrip: open source software for advanced analysis of meg, eeg, and invasive electrophysiological data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3021840/
https://www.ncbi.nlm.nih.gov/pubmed/21253357
http://dx.doi.org/10.1155/2011/156869
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