FieldTrip: open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data
TLDR
FieldTrip is an open source software package that 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.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.read more
Citations
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Journal ArticleDOI
The WU-Minn Human Connectome Project: An Overview
TL;DR: Progress made during the first half of the Human Connectome Project project in refining the methods for data acquisition and analysis provides grounds for optimism that the HCP datasets and associated methods and software will become increasingly valuable resources for characterizing human brain connectivity and function, their relationship to behavior, and their heritability and genetic underpinnings.
Journal ArticleDOI
The Human Connectome Project: A data acquisition perspective
D. C. Van Essen,Kamil Ugurbil,Edward J. Auerbach,Timothy E.J. Behrens,Richard D. Bucholz,A. Chang,Liyong Chen,Maurizio Corbetta,Sandra W. Curtiss,S. Della Penna,David A. Feinberg,Matthew F. Glasser,Noam Harel,Andrew C. Heath,Linda J. Larson-Prior,Daniel S. Marcus,Georgios Michalareas,Steen Moeller,Robert Oostenveld,Steven E. Petersen,Fred W. Prior,Bradley L. Schlaggar,Stephen M. Smith,Abraham Z. Snyder,Junqian Xu,Essa Yacoub +25 more
TL;DR: The Human Connectome Project (HCP) as discussed by the authors is a 5-year effort to characterize brain connectivity and function and their variability in healthy adults using diffusion imaging (dMRI), resting-state fMRI, task-evoked fMRI (T-fMRI), T1-and T2-weighted MRI for structural and myelin mapping, plus combined magnetoencephalography (MEG/EEG).
Journal ArticleDOI
MEG and EEG data analysis with MNE-Python
Alexandre Gramfort,Martin Luessi,Eric B. Larson,Denis A. Engemann,Daniel Strohmeier,Christian Brodbeck,Roman Goj,Mainak Jas,Teon L Brooks,Lauri Parkkonen,Matti Hämäläinen +10 more
TL;DR: MNE-Python as discussed by the authors is an open-source software package that provides state-of-the-art algorithms implemented in Python that cover multiple methods of data preprocessing, source localization, statistical analysis, and estimation of functional connectivity between distributed brain regions.
Journal ArticleDOI
MNE software for processing MEG and EEG data
Alexandre Gramfort,Martin Luessi,Eric B. Larson,Denis A. Engemann,Daniel Strohmeier,Christian Brodbeck,Lauri Parkkonen,Matti Hämäläinen +7 more
TL;DR: Detailed information about the MNE package is given and typical use cases are described while also warning about potential caveats in analysis.
Journal ArticleDOI
Visual Areas Exert Feedforward and Feedback Influences through Distinct Frequency Channels
André M. Bastos,André M. Bastos,André M. Bastos,Julien Vezoli,Conrado A. Bosman,Conrado A. Bosman,Jan-Mathijs Schoffelen,Robert Oostenveld,Jarrod R Dowdall,Peter De Weerd,Peter De Weerd,Henry Kennedy,Henry Kennedy,Pascal Fries,Pascal Fries +14 more
TL;DR: It is demonstrated that feedforward and feedback signaling use distinct frequency channels, suggesting that they subserve differential communication requirements.
References
More filters
Journal ArticleDOI
EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis.
Arnaud Delorme,Scott Makeig +1 more
TL;DR: EELAB as mentioned in this paper is a toolbox and graphic user interface for processing collections of single-trial and/or averaged EEG data of any number of channels, including EEG data, channel and event information importing, data visualization (scrolling, scalp map and dipole model plotting, plus multi-trial ERP-image plots), preprocessing (including artifact rejection, filtering, epoch selection, and averaging), Independent Component Analysis (ICA) and time/frequency decomposition including channel and component cross-coherence supported by bootstrap statistical methods based on data resampling.
Journal ArticleDOI
Cortical surface-based analysis. I. Segmentation and surface reconstruction
TL;DR: A set of automated procedures for obtaining accurate reconstructions of the cortical surface are described, which have been applied to data from more than 100 subjects, requiring little or no manual intervention.
Journal ArticleDOI
Nonparametric statistical testing of EEG- and MEG-data
Eric Maris,Robert Oostenveld +1 more
TL;DR: This paper forms a null hypothesis and shows that the nonparametric test controls the false alarm rate under this null hypothesis, enabling neuroscientists to construct their own statistical test, maximizing the sensitivity to the expected effect.
Journal ArticleDOI
Measuring phase synchrony in brain signals
TL;DR: It is argued that whereas long‐scale effects do reflect cognitive processing, short‐scale synchronies are likely to be due to volume conduction, and ways to separate such conduction effects from true signal synchrony are discussed.
Journal ArticleDOI
Localization of brain electrical activity via linearly constrained minimum variance spatial filtering
TL;DR: This paper presents a development and analysis of the spatial filtering method for localizing sources of brain electrical activity from surface recordings and explores its sensitivity to deviations between actual and assumed data models.
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