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

TL;DR

ToFFi is an open-source MATLAB toolbox that enables researchers to generate spectral fingerprints from MEG/EEG data for brain region identification and biomarker discovery, supporting various brain parcellations.

Contribution

The paper introduces ToFFi, a versatile, modular, and open-source MATLAB toolbox for spectral fingerprinting of brain signals, filling a gap in available neuroimaging analysis tools.

Findings

Supports multiple brain parcellations including AAL, Desikan-Killiany, and Schaefer.

Enables reproducible and parallel spectral fingerprint computations.

Facilitates biomarker discovery and ROI identification in neuroimaging studies.

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.