ToFFi -- Toolbox for Frequency-based Fingerprinting of Brain Signals
M. Komorowski
Krzysztof Rykaczewski
Tomasz Piotrowski
Katarzyna Jurewicz
J. Wojciechowski
Anne Keitel
J. Dreszer
Wlodzislaw Duch

Abstract
Spectral fingerprints (SFs) are unique power spectra signatures of human brain regions of interest (ROIs, Keitel & Gross, 2016). SFs allow for accurate ROI identification and can serve as biomarkers of differences exhibited by non-neurotypical groups. At present, there are no open-source, versatile tools to calculate spectral fingerprints. We have filled this gap by creating a modular, highly-configurable MATLAB Toolbox for Frequency-based Fingerprinting (ToFFi). It can transform MEG/EEG signals into unique spectral representations using ROIs provided by anatomical (AAL, Desikan-Killiany), functional (Schaefer), or other custom volumetric brain parcellations. Toolbox design supports reproducibility and parallel computations.
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