ToFFi -- Toolbox for Frequency-based Fingerprinting of Brain Signals

Michał K. Komorowski; Krzysztof Rykaczewski; Tomasz Piotrowski; Katarzyna Jurewicz; Jakub Wojciechowski; Anne Keitel; Joanna Dreszer; Włodzisław Duch

arXiv · 2110.09919

ToFFi -- Toolbox for Frequency-based Fingerprinting of Brain Signals

Michał K. Komorowski·Krzysztof Rykaczewski·Tomasz Piotrowski·Katarzyna Jurewicz·Jakub Wojciechowski·Anne Keitel·Joanna Dreszer·Włodzisław Duch

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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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Michał K. Komorowski, Krzysztof Rykaczewski, Tomasz Piotrowski, Katarzyna Jurewicz, Jakub Wojciechowski, Anne Keitel, Joanna Dreszer, Włodzisław Duch. 2021-10-19. ToFFi -- Toolbox for Frequency-based Fingerprinting of Brain Signals. https://arxiv.org/abs/2110.09919

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