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

arXiv: https://arxiv.org/abs/2110.09919 · HTML: https://mlsanity.com/paper/2110.09919/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 2 of its 46 references that are in the map.
- First posted on arXiv 19 Oct 2021.

## Builds on (most cited first, 2 of 2)

- [Efficient Pairwise Neuroimage Analysis using the Soft Jaccard Index and 3D Keypoint Sets](https://mlsanity.com/paper/2103.06966/) (2021)
- [supFunSim: : spatial filtering toolbox for EEG](https://mlsanity.com/paper/1904.11948/) (2019)

## Abstract (arXiv)

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.