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.
@article{arxiv.2110.09919,
title = {ToFFi -- Toolbox for Frequency-based Fingerprinting of Brain Signals},
author = {Michał K. Komorowski and Krzysztof Rykaczewski and Tomasz Piotrowski and Katarzyna Jurewicz and Jakub Wojciechowski and Anne Keitel and Joanna Dreszer and Włodzisław Duch},
journal= {arXiv preprint arXiv:2110.09919},
year = {2021}
}