supFunSim: Spatial Filtering Toolbox for EEG

Krzysztof Rykaczewski; Jan Nikadon; Włodzisław Duch; Tomasz Piotrowski

doi:10.1007/s12021-020-09464-w

supFunSim: Spatial Filtering Toolbox for EEG

Krzysztof Rykaczewski, Jan Nikadon, Włodzisław Duch, Tomasz Piotrowski

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

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
Pages (from-to)	107-125
Number of pages	19
Journal	Neuroinformatics
Volume	19
Issue number	1
DOIs	https://doi.org/10.1007/s12021-020-09464-w
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.

Keywords

Localization
Matlab
Object-oriented
Reconstruction
Toolbox

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10.1007/s12021-020-09464-w

Cite this

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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.",

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AU - Piotrowski, Tomasz

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supFunSim: Spatial Filtering Toolbox for EEG

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Keywords

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