# supFunSim: : spatial filtering toolbox for EEG

## TL;DR

supFunSim is a Matlab toolbox that provides advanced spatial filtering and source reconstruction methods for EEG, facilitating brain activity pattern analysis and connectivity studies with modular and extensible design.

## Contribution

The paper introduces supFunSim, a new Matlab toolbox offering a comprehensive set of spatial filters and connectivity analysis tools for EEG source reconstruction, based on the FieldTrip framework.

## Key findings

- Provides accurate EEG forward models
- Implements multiple spatial filters including LCMV and MV-PURE
- Enables source-level connectivity analysis with PDC and DTF

## Abstract

Recognition and interpretation of brain activity patterns from EEG or MEG signals is one of the most important tasks in cognitive neuroscience, requiring sophisticated methods of signal processing. The supFunSim library is a new Matlab toolbox which generates accurate EEG forward models and implements a collection of spatial filters for EEG source reconstruction, including 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) and directed transfer function (DTF) measures. 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 some use cases.