ToFFi - Toolbox for Frequency-based Fingerprinting of Brain Signals

Related tags

Deep LearningToFFi_Toolbox
Overview

ToFFi Toolbox

This repository contains "before peer review" version of the software related to the preprint of the publication ToFFi - Toolbox for Frequency-based Fingerprinting of Brain Signals (arXiv:2110.09919) by Michał Konrad Komorowski (@micholeodon) from Neurocognitive Laboratory at Nicolaus Copernicus University, Torun, Poland, and his collaborators.

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 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.

Prerequisites

  • 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.

Installation

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

Full documentation

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

Source Lines of Code (SLOC)

394 text files. 374 unique files.
144 files ignored.

github.com/AlDanial/cloc v 1.82 T=0.36 s (1006.2 files/s, 81665.7 lines/s)

Language files blank comment code
MATLAB 243 1952 3709 6894
HTML 91 2571 4531 6609
Bourne Shell 9 433 375 1670
Markdown 1 11 0 108
Bourne Again Shell 14 42 208 84
MUMPS 2 3 0 16
SUM: 360 5012 8823 15381

License

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

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