The MATLAB toolbox for MEG, EEG and iEEG analysis
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Updated
May 23, 2024 - MATLAB
The MATLAB toolbox for MEG, EEG and iEEG analysis
A set of BIDS compatible datasets with empty raw data files that can be used for writing lightweight software tests.
Public Releases of SPM12 - see https://github.com/spm/spm for the Development Version
MATLAB application for fNIRS data processing and visualization
Automatic Analysis (aa)
Open Scripts and pipelines from the Multimodal Imaging and Connectome Analysis Lab at the Montreal Neurological Institute
GNU Octave library for connectivity analysis in large fMRI datasets
SPM (Statistical Parametric Mapping) - Development Version
fmriflows is a consortium of many (dependent) fMRI analysis pipelines, including anatomical and functional pre-processing, univariate 1st and 2nd-level analysis, as well as multivariate pattern analysis.
Please use the new version of LiFE: www.github.com/brain-life/encode
Code and data for Zhang, Lengersdorff et al. (2020)
Machine Learning in NeuroImaging (MALINI) is a MATLAB-based toolbox used for feature extraction and disease classification using resting state functional magnetic resonance imaging (rs-fMRI) data. 18 different popular classifiers are presented. With slight modifications, it can also be used for any classification problem using any set of features.
BRAPH 2.0 is a comprehensive software package for the analysis and visualization of brain connectivity data, offering flexible customization, rich visualization capabilities, and a platform for collaboration in neuroscience research.
Insight & Inference for DVARS: 3-part variance decomposition, gives units & p-values to DVARS measures as well as spatiotemporal rs-fMRI diagnostic.
Some tools for the extraction and plot of second-level ROI-to-ROI results from CONN Toolbox
A multipurpose matlab-based MEG/EEG overlay & network plotter
A prediction-based extension of network-based statistics.
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