An open source software package that we developed for the analysis of MEG, EEG, and other electrophysiological data. FieldTrip is implemented as a MATLAB toolbox and includes a complete set of consistent and userfriendly 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.
Processes continuous and event-related EEG (electro-encephalography) and MEG (magneto-encephalography). EEGLAB also processes other electrophysiological data incorporating independent component analysis (ICA), time/frequency analysis, artifact rejection, event-related statistics, and several useful modes of visualization of the averaged and single-trial data. EEGLAB provides an interactive graphic user interface (GUI) allowing users to flexibly and interactively process their high-density EEG and other dynamic brain data using ICA and/or time/frequency analysis, as well as standard averaging methods.
Allows detection of changes in brain activity from neuroimaging data. The SPM purpose is to analyze brain imaging data sequences. The analyzed sequences can be time-series from the same subject or a series of images from different cohorts.
Allows to visualize, process, and integrate with anatomical magnetic resonance imaging (MRI) data, magnetoencephalography (MEG) and electroencephalography (EEG) data. Brainstorm aims to provide a set of tools to the scientific community using MEG/EEG as an experimental technique. User can interact with MEG/EEG recordings including various displays of time series, topographical mapping on 2D or 3D surfaces, generation of animations and series of snapshots of identical viewpoints at sequential time points, the selection of channels and time segments, and the manipulation of clusters of sensors.
Optimizes functional magnetic resonance imaging (fMRI) analysis of data derived from high motion pediatric and clinical subjects. ArtRepair is a module, compatible with SPM2, 5, 8 and 12, intending to identify and correct artifacts at three different levels (voxel, volume and slice). This application comprises five mains functions that includes noise filtering, an utility to repair outlier volumes as well as a feature to display the quality of estimates produced by SPM.
Implements an algorithm to automatically detect the main LFPs features. LFP analysis is a MATLAB software, exploiting Phillips-Tikhonov regularization to automatically detect the first maximum, the following negative peak, and the first time-derivative value in the inflection point between them, in LFPs evoked by whisker stimulation in rat barrel cortex. the algorithm may be extended to estimate other features of interest, such as the duration of the positive deflection and of the negative valley.
Assists in visualizing results of processing steps and final outputs. MNE-Python is a scripting-based package with many visualization capabilities. It covers multiple methods of data preprocessing, source localization, statistical analysis, and estimation of functional connectivity between distributed brain regions. It offers some unique capabilities, in a coherent package facilitating the combination of standard and advanced techniques in a single environment.