Abstract
Brain activity pattern recognition from EEG or MEG signal analysis is one of the most important method in cognitive neuroscience. The supFunSim library is a new Matlab toolbox which generates accurate EEG forward model and implements a collection of spatial filters for EEG source reconstruction, including the linearly constrained minimum-variance (LCMV), eigenspace LCMV, nulling (NL), and minimum-variance pseudo-unbiased reduced-rank (MV-PURE) filters in various versions. It also enables source-level directed connectivity analysis using partial directed coherence (PDC) measure. The supFunSim library is based on the well-known FieldTrip toolbox for EEG and MEG analysis and is written using object-oriented programming paradigm. The resulting modularity of the toolbox enables its simple extensibility. This paper gives a complete overview of the toolbox from both developer and end-user perspectives, including description of the installation process and use cases.
Original language | English |
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Pages (from-to) | 107-125 |
Number of pages | 19 |
Journal | Neuroinformatics |
Volume | 19 |
Issue number | 1 |
DOIs | |
State | Published - Jan 2021 |
Externally published | Yes |
Funding
This work was supported by a grant from the Polish National Science Centre (UMO-2016/20/W/NZ4/00354). The authors are grateful to anonymous reviewers for their constructive comments which surely promoted the usability of the supFunSim toolbox and the readability of the revised manuscript.
Funders | Funder number |
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Polish National Science Centre | UMO-2016/20/W/NZ4/00354 |
Keywords
- Localization
- Matlab
- Object-oriented
- Reconstruction
- Toolbox