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:2110.09919v1

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

Research output: Working paper/Preprint › Preprint

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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 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.

Original language	English
Publisher	arXiv
Number of pages	21
DOIs	https://doi.org/2110.09919v1
Publication status	Published - 19 Oct 2021

Keywords

Computational Neuroscience
Source Localization
Brain Fingerprinting,
Biomarkers
Spectral Fingerprints

Access to Document

2110.09919v1Licence: CC BY

PreprintSubmitted manuscript, 3.07 MBLicence: CC BY

https://arxiv.org/abs/2110.09919v1Licence: 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 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.",

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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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N2 - 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.

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KW - Source Localization

KW - Brain Fingerprinting,

KW - Biomarkers

KW - Spectral Fingerprints

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

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