ToFFi – Toolbox for frequency-based fingerprinting of brain signals

Michal Komorowski; Krzysztof  Rykaczewski; Tomasz  Piotrowski; Katarzyna  Jurewicz; Jakub  Wojciechowski; Anne Keitel; Joanna  Dreszer; Wlodzislaw  Duch

doi:10.1016/j.neucom.2023.126236

ToFFi – Toolbox for frequency-based fingerprinting of brain signals

Michal Komorowski (Lead / Corresponding author), Krzysztof Rykaczewski, Tomasz Piotrowski, Katarzyna Jurewicz, Jakub Wojciechowski, Anne Keitel, Joanna Dreszer, Wlodzislaw Duch

Psychology

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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 magnetoencephalographic and electroencephalographic 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.

Original language	English
Article number	126236
Journal	Neurocomputing
Volume	544
Early online date	28 Apr 2023
DOIs	https://doi.org/10.1016/j.neucom.2023.126236
Publication status	Published - 1 Aug 2023

Keywords

Biomarkers
Brain fingerprinting
Computational neuroscience
Source localization
Spectral fingerprints

ASJC Scopus subject areas

Artificial Intelligence
Cognitive Neuroscience
Computer Science Applications

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10.1016/j.neucom.2023.126236Licence: CC BY

Final published versionFinal published version, 3.34 MBLicence: CC BY

Cite this

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title = "ToFFi – Toolbox for frequency-based fingerprinting of brain signals",

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 magnetoencephalographic and electroencephalographic 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.",

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AU - Komorowski, Michal

AU - Rykaczewski, Krzysztof

AU - Piotrowski, Tomasz

AU - Jurewicz, Katarzyna

AU - Wojciechowski, Jakub

AU - Keitel, Anne

AU - Dreszer, Joanna

AU - Duch, Wlodzislaw

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KW - Computational neuroscience

KW - Source localization

KW - Spectral fingerprints

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ToFFi – Toolbox for frequency-based fingerprinting of brain signals

Abstract

Keywords

ASJC Scopus subject areas

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