FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data
FieldTrip: программное обеспечение с открытым исходным кодом для продвинутого анализа данных MEG, EEG и инвазивной электрофизиологии
2010-12-23
SCID: 54.1/4e63kxjp
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EEGFieldTripMATLAB toolboxMEGbatch scriptingbeamformerschannel-level analysisconnectivity analysisdipole modelingdistributed source imaginginvasive electrophysiological datamodular designmultitapersnonparametric statistical permutation testsopen source softwaresource reconstructionsource-level analysistime-frequency analysis
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Abstract (AI)
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.
Key Findings
1
FieldTrip includes nonparametric statistical permutation tests applicable at both channel and source levels.
2
FieldTrip is an open-source MATLAB toolbox for analysis of MEG, EEG, and other electrophysiological data.
3
FieldTrip provides consistent, user-friendly high-level functions enabling elaborate, structured analyses and batch scripting of large datasets.
4
Its modular design allows easy extension by users/developers and reuse within other software packages.
5
The toolbox implements advanced algorithms including multitaper time-frequency analysis, dipole and distributed-source reconstruction, beamformers, and connectivity analysis.
Research Object
FieldTrip open source MATLAB toolbox for analysis of MEG, EEG, and invasive electrophysiological data
Research Subject
Provision and application of consistent, extensible high-level algorithms and workflows for advanced analysis of electrophysiological data (time–frequency multitaper methods, source reconstruction with dipoles/distributed/beamformers, connectivity analysis, nonparametric permutation statistics, and batchable structured processing)
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2010-12-23
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