This repository contains the software related to the publication ToFFi - Toolbox for frequency-based fingerprinting of brain signals, published 24th April 2023 in Neurocomputing journal, by Michał Konrad Komorowski (@micholeodon) from Neurocognitive Laboratory at Nicolaus Copernicus University, Torun, Poland, and his collaborators.

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 perform Spectral Fingerprinting.

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.

• MATLAB (version R2021a or newer)
• FieldTrip toolbox (version 20210816 or newer)

The following toolboxes need to be installed alongside MATLAB:

• Signal Processing Toolbox,
• Statistics and Machine Learning Toolbox,
• Parallel Computing Toolbox.

1. Clone, or download this repository as a .zip file and unpack.
2. The ToFFi toolbox is ready to use.

The full documentation of the ToFFi Toolbox can be found here.

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This code is licensed under the GNU LESSER GENERAL PUBLIC LICENSE, version 2.1.